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FERC Opens Inquiry into Virtualization and Cloud Computing Services – Lexology

February 28, 2020 | Author: admin

On February 20, 2020, FERC issued a notice of inquiry (NOI) to learn more about the potential benefits and risks of virtualization and cloud computing services in the bulk electric system operations. The NOI also seeks information about the barriers that exist in FERC-approved Critical Infrastructure Protection (CIP) Reliability Standards that impede the voluntary adoption of virtualization or cloud computing services.

As explained in the NOI, virtualization is the process of creating virtual versions of computer hardware to minimize the amount of physical computer hardware resources needed to perform various functions. Cloud computing is defined as a model for enabling convenient, on-demand network access to a shared pool of configurable computing resources.

FERC issued the NOI in response to comments made during FERCs June 27, 2019 Reliability Technical Conference and the Department of Energys and FERCs March 28, 2019 Security Investments for Energy Infrastructure Technical Conference.

Specifically, FERC seeks comments on four general topics, each of which are accompanied by various question prompts in the NOI: (A) scope of potential use of virtualization and cloud computing services (e.g. which BES reliability operating services referenced above could be implemented in a virtualized environment?); (B) potential benefits and risks associated with virtualization and cloud computing services (e.g. what are the potential benefits associated with adopting virtualization for the BES reliability operating services?); (C) potential impediments to adopting virtualization and cloud computing services (e.g. how the CIP Reliability Standards could be augmented to address these challenges?); and (D) potential use of new and emerging technologies in the current CIP standards framework (e.g. whether the CIP Reliability Standards limit the ability to take full advantage of new and emerging technologies for BES reliability operating services.).

FERC intends to use the record in this proceeding to determine if it should, pursuant to section 215(d)(5) of the Federal Power Act, direct NERC to develop modifications to the CIP Reliability Standards for the voluntary adoption of virtualization and cloud computing services by registered entities.

Initial comments are due 60 days after the date of publication in the Federal Register. Reply comments are due 90 days after publication in the Federal Register.

Click here to read the full NOI and the procedures for commenting.

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FERC Opens Inquiry into Virtualization and Cloud Computing Services - Lexology

Fog and edge computing: revolutionary new technologies operating at the edge of the law – Business MattersBusiness Matters

February 28, 2020 | Author: admin

But cloud computing is not without its risks. What if hackers attack your cloud provider or its service is unavailable? As a data controller, you will be primarily liable under data protection law.

Cloud providers may also operate business models based on standard non-negotiable terms which can pass the risk onto the user. Ensuring compliance with data protection law (GDPR) can be a headache when appointing a cloud provider.

Also, its worth considering how easy it will be to get your data back or port it elsewhere if required,

There is also the risk of losing control of your data unexpectedly; Google has just announced the transfer of UK user data to the USA, for example.

Although many cloud providers will offer to localise data for you, this may cost you more than their basic service.

Regulators too have had cloud computing in their sights.

The use of the cloud in the financial services sector in particular has been the subject of regulatory scrutiny.

Financial services companies cant outsource their regulatory responsibilities here they remain firmly on the hook.

Currently, the legal risks of cloud computing are generally well-understood, even if legal advice is required to navigate those risks. However, the future of the cloud, while exciting, presents new threats to businesses.

These risks are due to the growth of the Internet of Things (IoT), which means connected devices at home, in the street or at work.

Smart devices for personal and home use including autonomous vehicles and drones as well as industrial applications such as factory robots are all data intensive. They collect massive amounts of data, which needs processing exceptionally quickly in the case of a robot, a drone or an autonomous vehicle where an individuals life or property might be at stake.

Data-intensive artificial intelligence (AI) is also increasingly used for image recognition as well as the operation of the devices themselves.

All this data requires processing at the edge of a network close to the devices generating the data. Here the classic cloud computing model breaks down.

Its too slow to pass all this data to a centralised cloud server at a large data centre for processing. The device needs the ability to process the data very quickly and minimise latency the time taken for data to travel over a network.

This can be achieved by using edge computing putting processing power at the edge of a network, close to where sensors collect the data. Advances in computing make this possible. Already mini data centres are springing up putting computing power close to where its needed.

Edge computers, when connected over a network, form what is called a fog a network of distributed computing resources which process data very quickly as needed and also connect with the cloud for overall communication and control.

The growth of 5G networks will only encourage this as they allow fast high-capacity local data flows but also require local data processing resource too so more mini data centres.

This interconnected environment is set to expand rapidly but raises a lot of new legal issues. Who owns all the data sensors collect and which is then processed?

If the data is personal data, how is compliance with data protection law ensured? How do users exercise the rights data protection law gives them?

Also, what about the risk of security breaches? The general view is that a distributed network with lots of remote devices connected to it is likely to be inherently less secure than a large data centre or cloud server ring-fenced with security, which are easier to monitor for breaches.

There are ways around this for example encrypting data both when in transit and at rest (when stored on a device) but encryption is power intensive and can also slow things down.

A problem with regulation is that it can quickly become out of date as technology advances. The GDPR was an attempt to reboot data protection law for the age of Facebook and Google. But when it comes to the IoT and AI, the GDPR already risks being left behind.

Complying with the GDPR in this new world requires several steps including:

These steps may become unworkable as 5G and AI take off, and the IoT expands to every facet of our lives at work, when we travel and at home.

We are literally at the edge of an IoT, AI and 5G revolution how the law responds to this challenge and protects both our privacy yet facilitates innovation will be an increasingly pressing topic as the new decade advances.

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Fog and edge computing: revolutionary new technologies operating at the edge of the law - Business MattersBusiness Matters

Cloud Computing Market by Type and Distribution Channel: Global Opportunity Analysis and Industry Forecast 2020-2025 – News Times

February 28, 2020 | Author: admin

The global Cloud Computing market size is expected to gain market growth in the forecast period of 2020 to 2025, with a CAGR of 27.9% in the forecast period of 2020 to 2025 and will expected to reach USD 172960 million by 2025, from USD 64540 million in 2019.

The report also tracks the latest market dynamics, such as driving factors, restraining factors, and industry news like mergers, acquisitions, and investments. It provides market size (value and volume), market share, growth rate by types, applications, and combines both qualitative and quantitative methods to make micro and macro forecasts in different regions or countries.

This Report Provides an overview of Cloud Computing market, containing global revenue, global production, sales, and CAGR. Also describe Cloud Computing product scope, market overview, market opportunities, market driving force and market risks. The forecast and analysis of Cloud Computing market by type, application, and region are also presented. Next part of report provides a full-scale analysis of Cloud Computing competitive situation, sales, revenue and global market share of major players in Cloud Computing industry. The basic information, as well as the profiles, applications and specifications of products market performance along with Business Overview are offered.

Get Complete Overview of the report (Including Full TOC, List of Tables & Figures, Chart):

https://www.reportspedia.com/report/technology-and-media/global-cloud-computing-market-2020-by-company,-regions,-type-and-application,-forecast-to-2025/51950#request_sample

This section gives a worldwide view of Cloud Computing market. It includes production, market share revenue, price, and the growth rate by type. Next Section of the report focuses on the application of Cloud Computing, by analyzing the consumption and its growth rate of each application. The regional consumption and value analysis by types, applications, and countries are included in the report. Furthermore, it also introduces the major competitive players in these regions.

Major Players involved in the Global Cloud Computing Industry:

Amazon Web Services, SAP, Aliyun, Microsoft Azure, Rackspace, IBM, Vmware, Salesforce, Google Cloud Platform, Oracle, DELL, EMC,

The report can help to understand the market and strategize for business expansion accordingly. In the strategy analysis, it gives insights from marketing channel and market positioning to potential growth strategies, providing in-depth analysis for new entrants or exists competitors in the Biofortification industry.

Global Cloud Computing Market Segmentation by Product:

By TypeCloud Computing market has been segmented into Infrastructure as a service (IaaS), Platform as a Service (PaaS), Software as a Service (SaaS), etc.

Global Cloud Computing Market Segmentation by Application:

By Application Cloud Computing has been segmented into Government, Small and Medium sized enterprises, Large enterprises, etc.

Top Region Covered In This Research:

South America (Brazil, Argentina)

The Middle East & Africa (South Africa, Saudi Arabia)

Europe (Spain, U.K., Italy, Germany, Russia, France)

North America (U.S., Mexico, Canada)

Asia-Pacific (China, Japan, India, Southeast Asia)

: https://www.reportspedia.com/report/technology-and-media/global-cloud-computing-market-2020-by-company,-regions,-type-and-application,-forecast-to-2025/51950#inquiry-before-buying

Cloud Computing Introduction and Market Overview

1.3 Cloud Computing Market Scope and Market Size Estimation

Cloud Computing Market Segment Analysis By Type

Global Cloud Computing Market by Type

Global Cloud Computing Production and Market Share by Type (2015-2019)

Global Cloud Computing Revenue and Market Share by Type (2015-2019)

Global Cloud Computing Average Price by Type (2015-2019)

Cloud Computing Market Segment Analysis By Application

Global Cloud Computing Market by Application

Global Cloud Computing Production and Market Share by Application (2015-2019)

Leading Consumers of Cloud Computing by Application in 2018

Cloud Computing Market Segment Analysis by Sales Channel

Global Cloud Computing Market by Sales Channel

Global Cloud Computing Production and Market Share by Sales Channel (2015-2019)

Cloud Computing Market Segment Analysis By Region

North America Cloud Computing Value and Growth Rate (2015-2020)

Europe Cloud Computing Value and Growth Rate (2015-2020)

China Cloud Computing Value and Growth Rate (2015-2020)

Japan Cloud Computing Value and Growth Rate (2015-2020)

Middle East & Africa Cloud Computing Value and Growth Rate (2015-2020)

India Cloud Computing Value and Growth Rate (2015-2020)

South America Cloud Computing Value and Growth Rate (2015-2020)

Market Dynamics

Drivers

Emerging Countries of Cloud Computing

Growing Market of Cloud Computing

Limitations

Opportunities

Cloud Computing Industry Chain Analysis

Major Players of Cloud Computing

Major Players Business Distribution Regions and Market Share of Cloud Computing in 2019

Cloud Computing Business Cost Structure Analysis

Business Cost Structure of Cloud Computing

Major Downstream Customers of Cloud Computing Analysis

Competitive Landscape

Competitive analysis

Global Cloud Computing Market Analysis and Forecast by Type and Application

Global Cloud Computing Market Value Forecast, by Type (2020-2025)

Global Cloud Computing Market Value Forecast, by Application (2020-2025)

Cloud ComputingMarket Analysis and Forecast by Region

North America Market Value Forecast (2020-2025)

Europe Market Value Forecast (2020-2025)

China Market Value Forecast (2020-2025)

Japan Market Value Forecast (2020-2025)

Middle East & Africa Market Value Forecast (2020-2025)

India Market Value Forecast (2020-2025)

South America Market Value Forecast (2020-2025)

Industry Barriers and New Entrants SWOT Analysis

Research Finding and Conclusion

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Cloud Computing Market by Type and Distribution Channel: Global Opportunity Analysis and Industry Forecast 2020-2025 - News Times

Compare serverless tools and services in the public cloud – TechTarget

February 28, 2020 | Author: admin

Infrastructure management and server maintenance can bog down IT teams and pull their focus away from more critical and complex tasks. Serverless computing removes those hurdles by shifting infrastructure management responsibilities to the cloud provider.

Serverless computing -- also referred to as function as a service (FaaS) -- is an event-driven model in which functions are units of code that execute in response to predefined or on-demand triggers. Serverless functions can be used to run code, build mobile and web applications, manage containers and handle other cloud computing tasks.

Public cloud providers offer a range of serverless tools and services that relieve cloud users of infrastructure management tasks. Evaluate the main serverless compute offerings from AWS, Google and Microsoft and decide which tool best fits your needs.

AWS Lambda: Developers can use this event-driven cloud computing service to run functions in the AWS cloud without having to manage or provision resources, such as servers and storage. With AWS Lambda, AWS manages the infrastructure and developers write the code. This service supports Node.js, Python, Java and C#, among other languages.

AWS Lambda executes via Lambda functions, which carry out specific, programmatic tasks in response to events from other Amazon cloud services -- such as Amazon S3, Amazon Simple Notification Service and CloudWatch. Lambda can also be orchestrated into workflows with AWS Step Functions.

Users can update and monitor Lambda functions via the AWS Lambda dashboard, command-line interface or software development kit. AWS Lambda can be used to process data, build web applications and various other capabilities in the AWS cloud. Lambda functions are priced on a pay-per-use basis.

AWS Lambda@Edge:Developers use AWS Lambda@Edge to run Lambda functions at the edge of AWS' global content delivery network. This serverless compute feature runs code geographically closer to end users to reduce latency. With Lambda@Edge, IT teams do not need to manage and provision infrastructure in multiple locations. Amazon CloudFront generates events that trigger Lambda@Edge to run and deliver location-specific code.

AWS Fargate:AWS Fargate is a serverless compute engine for containers in the AWS cloud. This service works with Amazon Elastic Container Service and Amazon Elastic Kubernetes Service. AWS users can build and run Kubernetes applications in AWS without provisioning and managing pods.

With Fargate, developers control the parameters and access policies of their containerized applications while Amazon manages the underlying infrastructure. Fargate automatically scales to run containers in highly available environments. This service can launch thousands of containers simultaneously. Users can opt for Fargate Spot, a discounted version of the service built for interruption-tolerant applications.

Google Cloud Functions:Google Cloud Functions is the platform's serverless, event-driven computing service. Similar to AWS Lambda, Google Cloud Functions abstracts away the underlying infrastructure management and enables developers to focus on writing code and other tasks. With Google Cloud Functions, small programmatic code segments execute functions into a cloud environment in response to specific events.

This service can be trigged by resources within or outside of Google Cloud Platform (GCP). Google Cloud Functions connect with other GCP services along with other third-party services. GCP's serverless compute tool can trigger log analysis and data backups and carry out redundant tasks on data sets, among other tasks. Users pay for the number of functions they use.

Google App Engine:App Engine is a serverless PaaS product from Google where developers can build mobile and web applications. App Engine scales resources of any size with automatic infrastructure management and server maintenance. This tool provides built-in services, such as load balancing, application logging and health checks. The serverless compute platform also offers data storage and configuration capabilities.

App Engine users can access the Google Cloud Security Scanner to detect application security issues. App Engine is available in standard or flexible environments. In the standard App Engine environment, instances run in a sandbox environment and support a specific set of programming languages. The standard environment is suitable for applications that deal with rapid scaling.

The flexible environment for App Engine instances runs in containers on Google Compute Engine virtual machines. The flexible environment option works with applications that receive consistent traffic or experience fluctuations in traffic, and applications that scale gradually. The type of environment has fewer restrictions and supports more source code languages than the standard environment, including Python, Java, Node.js, Go, Ruby, PHP or .NET.

Google Cloud Run:Google Cloud Run is a serverless container management tool that runs stateless containers in managed environments. Google Cloud Run is built on Knative, an open source set of tools for building serverless apps on Kubernetes. It enables workload portability and supports all programming languages and open source libraries.

HTTPS requests trigger Cloud Run services. Cloud Run is used to build portable, container-based mobile and web applications with automatic scalability. This service works with other container management tools and technologies, such as CodeBuild, Container Registry and Docker.

Cloud users can deploy the managed, pay-per-use version of Google Cloud Run, which deploys stateless containers on Google Cloud. Or, users can opt for Cloud Run for Anthos, which runs containers on Google Cloud, on premises or on VMware environments. Cloud Run for Anthos supports custom machine types and provides additional network capabilities.

Azure Functions:Azure Functions is Microsoft's serverless compute service with comparable features to AWS Lambda and Google Cloud Functions. This event-driven serverless compute platform simplifies application development for IT teams by managing the infrastructure. Functions are executed via event triggers from Azure services or third-party sources, such as the Azure Event Hub, HTTPS requests, GitHub and message traffic from services such as Azure Storage.

Azure Functions handles development tasks such as data processing, file maintenance and data collection from IoT devices, among other capabilities. This service also integrates with other Azure offerings, including Azure Cosmos DB, Azure Mobile Apps and Azure Service Bus. Users pay for Azure Functions based on the amount of time a function runs in a billing cycle.

Azure App Service:Azure App Service is another serverless offering from Microsoft. Developers use this service to run mobile, web and Azure API applications in a managed environment. Azure App Service supports .NET, .NET Core, Java, Node.js, Python, PHP and Ruby. Azure App deploys applications in containers or as code and can run on Windows or Linux operating systems.

This serverless compute service provides features such as on-demand code, load balancing and autoscaling, as well as continuous integration and deployment with Azure DevOps, GitHub, BitBucket, Docker Hub or Azure Container Registry. Users can customize their Azure App Service model by choosing from one of several pricing plans that range from Free to Premium.

Azure Kubernetes Service:Microsoft Azure offers serverless container management with Azure Kubernetes Service (AKS). This serverless tool provides Kubernetes-orchestrated clusters that automatically scale depending on traffic spikes.

With AKS, Microsoft handles overhead management, configuration and integration with services such as Azure Active Directory. AKS also integrates with the Azure Container Registry for Docker image storage and Azure Disks. Azure cloud users can access the service with the AKS management portal, AKS command-line interface or Azure Resource Manager templates. Cloud users are not charged for Kubernetes clusters managed with AKS. Pricing is based on the cloud resources used in containers.

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Compare serverless tools and services in the public cloud - TechTarget

Cloud Database and DBaaS Market Worth $24.8 Billion by 2025 – Exclusive Report by MarketsandMarkets – Benzinga

February 28, 2020 | Author: admin

CHICAGO, Feb. 27, 2020 /PRNewswire/ -- According to a new market research report "Cloud Database and DBaaS Market by Database Type (SQL and NoSQL), Component, Service, Deployment Model, Organization Size, Vertical (BFSI, Telecom and IT, Manufacturing, Healthcare and Life Sciences), and Region - Global Forecast to 2025", published by MarketsandMarkets, the global Cloud Database and DBaaS Market size is expected to grow from USD 12.0 billion in 2020 to USD 24.8 billion by 2025, at a Compound Annual Growth Rate (CAGR) of 15.7% during the forecast period.

The growing demand to process low-latency queries is one of the major factors driving the growth of the market.

Browsein-depth TOC on"Cloud Database and DBaaS Market"105 Tables 35 Figures160 Pages

Download PDF Brochure:https://www.marketsandmarkets.com/pdfdownloadNew.asp?id=1112

The Banking, Financial Services and Insurance vertical segment to account for the highest market share during the forecast period

The Banking, Financial Services and Insurance (BFSI) vertical is one of the most data-centric verticals where large volumes of databases are generated at an exponential rate. Various factors are expected to contribute to the growth of the database in the financial sector. Some of these factors include electronic transactions, Automated Teller Machines (ATMs), credit cards, call centers, and mobile-based sources. The database generated from these sources is scattered across various branches and departments across various financial institutions and needs to be interlinked together. The linking of this database is important to derive meaningful insights and sustain in the competitive market. The BFSI vertical demands an additional secured environment to secure its online transactions 24*7, which can be achieved by cloud database and DBaaS. Hence, the adoption of cloud database and DBaaS solution helps BFSI companies to store, manage, access, and modify data for further processes. Cloud database and DBaaS ensure the seamless execution of transactions. These solutions further improve the accuracy and efficiency of various processes and assist in the regulatory and compliance reporting by collating data from multiple sources. Most banks are increasingly deploying cloud database and DBaaS solutions to enhance performance and improve cost-savings.

The Not only Structured Query Language segment to grow at a higher CAGR during the forecast period

The growing amount of digital data in unstructured data format generates the need for dynamic scalable database. Structured Query Language (SQL) offers databases only in the tabular format, but Not only Structured Query Language (NoSQL) offers database and queries in various formats: column, graphical, document, and others. Thus, the need is fulfilled by the non-relational database with its highly scalable and easy to program model. NoSQL is also known as non-relational database. It offers great features to the clients; scalability is apparently the most important one. In addition to this, NoSQL allows users to store and retrieve unstructured data. Today, most of the cloud database and DBaaS vendors provide NoSQL compatible cloud database services. Owing to this, dealing with huge data processing on the web has been made cost-effective.

Speak to Our Expert Analyst:https://www.marketsandmarkets.com/speaktoanalystNew.asp?id=1112

North America to lead the Cloud Database and DBaaS Market during the forecast period

North America is expected to account for the highest share of the Cloud Database and DBaaS Market in 2020. The region comprises developed countries, such as the US and Canada, and is considered the most advanced region in terms of adoption of advanced technologies. The North American region exhibits a wide presence of key industry players offering cloud database and DBaaS solutions and services, and its financial position enables the region to invest majorly in leading tools and technologies for effective business operations.

Key and emerging Cloud Database and DBaaS Market players include Google (US), Microsoft (US), AWS (US), IBM (US), Oracle (US), Alibaba Cloud (China), SAP (Germany), MongoDB (US), EnterpriseDB (US), Redis Labs (US), Tencent (China), Rackspace (US), Teradata (US), CenturyLink (US), Neo4j (US), DataStax (US), TigerGraph (US), MariaDB (US), RDX (US), and MemSQL (US) are some of the leading companies operating in this market.

Browse Adjacent Markets: Cloud Computing Market ResearchReports & Consulting

Related Reports:

Cloud Computing Marketby Service Model (Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS)), Deployment Model (Public, Private, and Hybrid), Organization Size, Workload, Vertical, and Region - Global Forecast to 2023https://www.marketsandmarkets.com/Market-Reports/cloud-computing-market-234.html

Database Automation Marketby Component (Solution and Service), Deployment Mode (Cloud and On-Premises), Application (Provisioning, Backup, and Security and Compliance), Enterprise Size, Vertical, and Region - Global Forecast to 2023https://www.marketsandmarkets.com/Market-Reports/database-automation-market-243862774.html

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Our 850 fulltime analyst and SMEs at MarketsandMarkets are tracking global high growth markets following the "Growth Engagement Model GEM". The GEM aims at proactive collaboration with the clients to identify new opportunities, identify most important customers, write "Attack, avoid and defend" strategies, identify sources of incremental revenues for both the company and its competitors. MarketsandMarkets now coming up with 1,500 MicroQuadrants (Positioning top players across leaders, emerging companies, innovators, strategic players) annually in high growth emerging segments. MarketsandMarkets is determined to benefit more than 10,000 companies this year for their revenue planning and help them take their innovations/disruptions early to the market by providing them research ahead of the curve.

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Cloud Database and DBaaS Market Worth $24.8 Billion by 2025 - Exclusive Report by MarketsandMarkets - Benzinga

Tech Disruptors from the Anaheim Show: Life After the Mars 2020 Rover – DesignNews

February 28, 2020 | Author: admin

The morning keynote panel at the Pacific Design and Manufacturing show earlier this month, revealed a wide range of bleeding edge technology. Tech Disruptors Transforming the Robotics Revolution included Hari Nayar, principal technologist and supervisor of Robotic Surface Mobility Group at Nasa Jet Propulsion Lab; David Noonan, director of systems and robotics at Auris Health; and Brian Schmitz, director of surgical robotics at Stryker. The moderator was Lori Jordan, former director of business development for AI and ML at Microsoft.

Engineers at the Jet Propulsion Lab install the legs and wheels of the Mars 2020 Rover. (Image source: NASA/JPL-Caltech)

Hari Nayar offered a look into advances in robotics at Nasa Jet Propulsion Lab. He specifically revealed some of the new projects in development at the Labs Robotic Surface Mobility Group.

Nayar explained some of the technology that is reaching beyond this years robot star, the Mars 2020 Rover. Were working on follow-up missions for the Mars 2020 Rover. One of the missions is to pick them up items on Mars and bring them back to earth, said Nayar. Were also working on robotics research for bodies further out in the solar system. We work on cutting-edge technology that includes machine learning and AI. Were looking at areas of Mars we havent explored before, rugged areas. Were also working on a Mars helicopter so we can fly on Mars.

Nayars team uses cloud technology for the Mars project, since a wide range of engineers are involved in the development and operation of the Mars 2020 Rover. Were using cloud computing. When were operating the spacecraft, hundreds of people on the ground are involved, said Nayar. In order to do things quickly, we need a lot of people on earth. When you get the data back, you need to analyze it. It is greatly facilitated by cloud computing so we can share it. The cloud enabled us to share it.

Getting the Technology into the Marketplace

Nayar noted that one of NASAs goals is to commercialize some of its technology. With our own technology, after weve used it a few times, we believe it should be commercialized. So, a lot of our work ends up in commercial operations. Our sea cameras have ended up in smart phones.

Much of the NASA technology that gets commercialized goes through the University system. Were a NASA center, but were operated by Caltech, so a lot of the technology we develop is licensed by the university, said Nayar. We develop useful things that can be further developed commercially. We are also adopting technology that is originally developed commercially, like robotic driving. Some of the commercial development is way ahead of us.

Another way NASA works in the commercial technology marketplace is to make sure NASA suppliers flourish. In some cases, we actually help companies grow, said Nayar. We need to acquire specialized applications, so NASA invests in companies that develop the technology we need. We try to help the companies grow and provide the products that we will be customers for.

We Get Small Business Involved

In working with commercial companies, NASA has a program devoted specifically to small business. There are government programs supporting small companies. NASA is a supporter of that. We do support small businesses, said Nayar. We also work with small companies to contract some of the work we do. We are not allowed to work on technologies that commercial companies can provide. Some of that work applies to non-NASA entities, and some of those entities are small commercial companies.

As NASAs technology spills out into the commercial world, Naysar is surprised to see it show up in familiar places. I watch TV with my kids, and I end up seeing stuff weve been working on, said Nayar. The public is excited about the work we do, so we actively disseminate that information.

Additional articles from this panel look at the advanced work on robotics by Auris Health and Stryker.

Rob Spiegel has covered automation and control for 19 years, 17 of them for Design News. Other topics he has covered include supply chain technology, alternative energy, and cyber security. For 10 years, he was owner and publisher of the food magazine Chile Pepper.

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Tech Disruptors from the Anaheim Show: Life After the Mars 2020 Rover - DesignNews

Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market 2025 by Orbis Market Reports | Expected to Grow as Demand from End-Users- AMI,…

February 28, 2020 | Author: admin

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Request report sample @ https://www.orbismarketreports.com/sample-request/66249

Report covers following manufacturers:AMIIron MountainCloudBlueApto SolutionsArrowTes-AmmSims RecyclingITRenew

According to insightful deliverables in the Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market report, multiplicity in product offerings and diversity in associated production technologies are anticipated to capitalize remunerative returns in the Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market throughout the forecast span. Besides closely monitoring production process and portfolio development, this elaborate research report on Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market renders superlative understanding on significant trends and growth patterns, besides hovering extensively across potential market drivers and growth propellants in Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market analyzed through the forecast span.

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Breakdown Data by TypeIT EquipmentSupport Infrastructure

Breakdown Data by Application:Data SanitizationRecoveryRecycling

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Some TOC Points:1 Study Coverage2 Executive Summary3 Market Size by ManufacturersContinued

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Global Cloud Computing Data Center IT Asset Disposition (ITAD) Market 2025 by Orbis Market Reports | Expected to Grow as Demand from End-Users- AMI,...

Eficode Joins the Cloud Native Computing Foundation – Database Trends and Applications

February 28, 2020 | Author: admin

Eficode, a devOps company, is joining the Cloud Native Computing Foundation (CNCF) and is now a Kubernetes Certified Service Provider (KCSP).

The CNCF is the home of open-source projects such as Kubernetes and Prometheus. As early adopters of container and cloud native technologies, it was a natural step for Eficode to join the CNCF.

We are truly proud to be joining the CNCF. Eficode wants to play an active role in building the future of the cloud native ecosystem and leading the transition to cutting-edge technologies, says Marko Klemetti, CTO of Eficode.

Eficode qualified as a Kubernetes Certified Service Provider on the basis of years of experience in Kubernetes consulting and training.

The KCSP program is a pre-qualified tier of vetted service providers who have deep experience in helping enterprises adopt Kubernetes.

"We are delighted to have companies like Eficode, a widely recognized DevOps solution provider in the Nordic countries, join CNCF, and look forward to their contribution to the cloud native community," said Dan Kohn, executive director of the Cloud Native Computing Foundation.

Increasing automation, continuous improvement and cross-collaboration between teams form the core of Eficodes DevOps mission.

A cloud native approach enables automation and agility, while empowering teams to build digital products scalably and with high availability.

By combining the use of containers, Kubernetes, and continuous delivery solutions, we can help our clients exceed their DevOps objectives, said Klemetti.

For more information about this news, visit http://www.eficode.com.

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Eficode Joins the Cloud Native Computing Foundation - Database Trends and Applications

The Future Of IoT Is At The Edge | By Ian Millar – Hospitality Net

February 28, 2020 | Author: admin

One of the most prevalent trends in almost every industry is the internet of things or otherwise known as IoT. What a few years ago seemed futuristic; it is now becoming a reality. The Internet of Things (IoT) refers to the inclusion of connectivity in everyday devices that do not usually count with those capabilities; it allows us to turn appliances "smart" by enabling them to receive, send data and communicate with each other. This will significantly increase the quantity of data available to us as well as levels of automation. It will also enhance the control and monitoring we can exert on such devices. IoT will ultimately allow us not only to turn devices smart, think thermostats and security systems, but also the environment and the real estate in which they operate.

The scope of IoT is vast; it ranges from guest facing solutions to operations optimisation and ultimately, real estate fracking, i.e. the ability to use technology to monetise buildings in a new way (Steve Weikal Head of Industry Relations at the MIT Center for Real Estate). Its wide range of uses is the reason why it should be seriously considered by hotel managers and owners alike. Some examples of how, we, as hoteliers can make use of IoT, are presented below.

Hoteliers have introduced appliances that make the guests' stay more gratifying in virtually almost every hotel room in the world until they stop functioning.

A prime example of introducing technology to increase guests' satisfaction is air-conditioning and ventilation in hotel rooms, once a luxury, now commoditised. As exemplified in a survey conducted by TripAdvisor in 2016, 63% of travellers said that air conditioning is a must-have when choosing a hotel, more of a deal breaker than free in room Wi-Fi (46%) or breakfast (40%). Meaning, 63% of global travellers would choose a property over another simply because of air conditioning or lack of thereof.

The spill-over effect of predictive maintenance would result in customers experiencing less friction with technology throughout their stay and ultimately increase guests' satisfaction. It would not only serve to reduce friction but to enhance other more superficial aspects of their stay by providing hyper-personalised experiences, i.e. "the connected room", smart devices allow customers to choose things as lightning, temperature in advance and in real time. IoT is not a substitute to hotel staff but can help in the kinds of tasks were involving staff would be more cumbersome than helpful, e.g. waiting hours for a room service tray to be retrieved vs. a connected tray that will alert hotel staff when the customer is finished, without having to place any notice or waiting for maintenance to check the air-conditioning unit vs maintenance be automatically informed if there is a failure in the system.

According to PwC's Customer Experience Survey, customers do not want to choose between human interactions and machine: they want automation to be embedded in their experiences but to still maintain a human element - keeping the high human interaction found in hospitality yet enabled by a seamless technology experience.

PropTech start-ups, i.e. companies that specialise in providing technological solutions to enhance the way we buy, rent, design and construct buildings are booming, 2018 alone showed an investment of US$4 billion in the industry compared to a mere $20 million in 2008. These start-ups main focus is to make buildings smarter, monetise them in an entirely new way and to ultimately increase their overall value, otherwise known as real estate fracking.

The motion of converting a large number of appliances to smart devices will lead to higher-performing buildings. However, the introduction of so many new connected devices would result in unprecedented amounts of data being sent and received as well as shared. This could result in two potential challenges: 1) congestion of the network and 2) making the data and devices more vulnerable to breaches. Consequently, we propose two solutions for hoteliers: introduction of the 5G network and processing the data through fog and edge computing systems.

5G, which is starting to be rolled out in specific locations and will become widespread in the next two years, promises a much friendlier environment for IoT with unprecedented data speeds, 100x traffic capacity and network efficiency and 10x connection density.

Gartner research speculates that by 2020 over 20.4 billion devices will be connected, a number that cannot be supported with the current wireless infrastructure, if we want to ensure that real-time data is produced and processed instantly, with virtually no lagging time, we will have to switch from 4G to 5G. However, 5G also comes with some limitations, and to use this technology to its full potential, we should plan how we renovate and build infrastructures adapted to the new network.

5G operates at a much higher frequency, up to 95Ghz compared to 4G which operated up at 2.5Ghz, higher frequencies allow for beamforming, meaning the waves of information can be targeted to specific devices. The challenge is that 5G antennas while being able to handle much more information, beam over shorter distances and also get interrupted with objects. To combat this issue, a much larger number of cell antennas will be needed to ensure uninterrupted connexions, almost an antenna per room. With this knowledge, we could assume that 5G could potentially substitute Wi-Fi routers. Ultimately it is up to owners and operators to determine the investment needed to make this transition.

Fracking hospitality real estate as well as introducing a new 5G network will result in unprecedented amounts of data being collected, which could make us more attractive to data and device breaches. Thus we need to ensure smartification and security come side by side. A proposed solution is to introduce fog and edge computing versus the already wide-spread cloud computing. Until today, the majority of data produced by hotels is transported to the cloud for storage; once in the cloud, the data is analysed and sent back to the device, the constant transmission of data back and forth could result in a heightened risk of violations.

On the other hand, fog and edge computing aim to store, analyse and process the data in a more efficient way at the edge of the network, i.e. at property level in the case of hotels instead of in the cloud or a central data warehouse. Both edge and fog computing's goals are to bring data processing capabilities closer to where they originate, but the key difference between these two architectures is where this intelligence is produced; in fog computing the information is pushed to the local network whereas in edge computing the information is processed directly in the devices. Edge and fog computing are attractive for two reasons 1) the costs of storing and processing data in the cloud will increase the more information we send to it and 2) if an attack on data were to occur at cloud level, the entire network could be taken down. Although cloud computing counts with many benefits, it is probably not the best option for IoT, the best solution to protect our hotels' and guests' data is to find a combination of cloud and edge or fog architecture.

Namely there are 3 main advantages of using a combination of edge computing for IoT in hotels: 1) increased data security, because the data is decentralized distributed among all the different connected devices it is harder to take the entire system down, this approach is particularly useful for GDPR compliance, the less information is sent through alternative networks, the better. 2) Improve efficiency and reduced operational costs; lower data traffic and reduced cloud storage, in turn, lead to cut costs and faster data analysis 3) Unlimited scalability, if the information is processed at the network level, without being sent to the cloud, you will not be susceptible to space limitations to data storage.

All in all, as the future approaches, we will have no choice but to take part in the race of smartification of our properties, we can ensure that this advances will result in higher operational efficiency and increased guest satisfaction but as more unconnected devices become connected and buildings become smarter, how will that ultimately affect hotel valuation?

The key to being able to support the increased communication between devices efficiently is to embrace new technologies such as 5G network and consider how, when, and where information is being processed by choosing the best kind of data architecture for your needs

Artificial intelligence | MIT News

February 28, 2020 | Author: admin

Weathers a problem for autonomous cars. MITs new system shows promise by using ground-penetrating radar instead of cameras or lasers.

Tech-based solutions sought for challenges in work environments, education for girls and women, maternal and newborn health, and sustainable food.

MIT duo uses music, videos, and real-world examples to teach students the foundations of artificial intelligence.

PatternEx merges human and machine expertise to spot and respond to hacks.

In a Starr Forum talk, Luis Videgaray, director of MITs AI Policy for the World Project, outlines key facets of regulating new technologies.

A deep-learning model identifies a powerful new drug that can kill many species of antibiotic-resistant bacteria.

MIT graduate student is assessing the impacts of artificial intelligence on military power, with a focus on the US and China.

The mission of SENSE.nano is to foster the development and use of novel sensors, sensing systems, and sensing solutions.

By organizing performance data and predicting problems, Tagup helps energy companies keep their equipment running.

Researchers develop a more robust machine-vision architecture by studying how human vision responds to changing viewpoints of objects.

Three-day hackathon explores methods for making artificial intelligence faster and more sustainable.

MITs new system TextFooler can trick the types of natural-language-processing systems that Google uses to help power its search results, including audio for Google Home.

Starting with higher-value niche markets and then expanding could help perovskite-based solar panels become competitive with silicon.

With the initial organizational structure in place, the MIT Schwarzman College of Computing moves forward with implementation.

Doctoral candidate Natalie Lao wants to show that anyone can learn to use AI to make a better world.

Device developed within the Department of Civil and Environmental Engineering has the potential to replace damaged organs with lab-grown ones.

Computer scientists new method could help doctors avoid ineffective or unnecessarily risky treatments.

Model tags road features based on satellite images, to improve GPS navigation in places with limited map data.

A new method determines whether circuits are accurately executing complex operations that classical computers cant tackle.

MIT researchers and collaborators have developed an open-source curriculum to teach young students about ethics and artificial intelligence.

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Artificial intelligence | MIT News

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Artificial intelligence | MIT News

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