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Distributed Cloud Market worth $11.2 billion by 2027 – Exclusive Report by MarketsandMarkets – PR Newswire

CHICAGO, Aug. 31, 2022 /PRNewswire/ --Distributed Cloud Marketsize is expected to grow from USD 4.4 billion in 2022 to USD 11.2 billion by 2027, at a Compound Annual Growth Rate (CAGR) of 20.6% during the forecast period, according to a new report by MarketsandMarkets.

Browse in-depth TOC on "Distributed Cloud Market"

211 Tables 55 Figures 208 Pages

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Data storage service type to hold largest market share of Distributed cloud in 2022.

The distributed cloud enables business data transfer of any size without any additional fee. It can protect the sovereignty of data in full compliance with GDPR. It offers an AI-powered data lake to keep data in one place by raising the quality of predictive analytics. It is applicable for various use cases using manufacturing, IoT, machine learning, and imaging.

Small and medium enterprises are likely to adopt distributed cloud solutions at a higher rate during the forecast period.

Cloud solutions offer scalable infrastructure and capabilities for SMEs to meet a sudden demand. SMEs face stiff competition due to a lack of technical skill sets and IT budgets. To overcome these challenges, SMEs are adopting the pay-as-you-go model, which offers the flexibility to manage the IT infrastructure as per their requirement. SMEs are focusing on adopting the hybrid cloud solution, which enables the quick transfer of workload to the public cloud per the requirements, which is likely to drive the adoption of the Distributed Cloud Market.

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North America holds the largest market size in 2022

The global Distributed Cloud Market is expected to be dominated by North America, which is considered the most advanced region regarding the adoption of cloud computing solutions and associated services. The Distributed Cloud Market is expected to observe major growth in the North American region due to increased cloud enablement activities and trends in cloud marketplaces.

Key Players

The major players for Distributed Cloud Market include Google (US), IBM (US), Microsoft (US), AWS (US), VMware (US), Alibaba Cloud (China), Teradata (US), F5 (US), Cohesity (US), Oracle (US) Commvault (US), SCC (UK) Wind River Systems (US), Cubbit (Italy), PhoenixNAP (US), Pluribus Networks (US), Anyscale(US), Panzura (US), Platform9 (US), Zededa (US), and Hazelcast (US).

Browse Adjacent Markets:Cloud Computing MarketResearch Reports & Consulting

Related Reports

Hybrid CloudMarket by Component, Service Type (Cloud Management and Orchestration, Disaster Recovery, and Hybrid Hosting), Service Model, Organization Size (SMEs and Large Enterprises), Vertical, and Region - Global Forecast to 2023

Cloud StorageMarketby Component (Solutions and Services), Application (Primary Storage, Backup and Disaster Recovery, and Archiving), Deployment Type (Public and Private Cloud), Organization Size, Vertical and Region - Global Forecast to 2027

About MarketsandMarkets

MarketsandMarkets provides quantified B2B research on 30,000 high growth niche opportunities/threats which will impact 70% to 80% of worldwide companies' revenues. Currently servicing 7500 customers worldwide including 80% of global Fortune 1000 companies as clients. Almost 75,000 top officers across eight industries worldwide approach MarketsandMarkets for their painpoints around revenues decisions.

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.

MarketsandMarkets's flagship competitive intelligence and market research platform, "Knowledge Store" connects over 200,000 markets and entire value chains for deeper understanding of the unmet insights along with market sizing and forecasts of niche markets.

Contact:Mr. Aashish MehraMarketsandMarkets INC.630 Dundee RoadSuite 430Northbrook, IL 60062USA: +1-888-600-6441Email: [emailprotected] Research Insight: https://www.marketsandmarkets.com/ResearchInsight/distributed-cloud-market.asp Visit Our Website: https://www.marketsandmarkets.com/ Content Source: https://www.marketsandmarkets.com/PressReleases/distributed-cloud.asp

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Ram Iyengar, Cloud Foundry: laying a good foundational architecture for your web applications is great, but at what cost? – CyberNews.com

By presenting intricate hardware and software services in various domains, cloud computing has been proving itself as a revolutionary model of distributed computing.

As a consequence, Cloud Resource Orchestration Frameworks (CROFs) emerged. These are systems designed to manage the life cycle of resources. But even though, there are hundreds of providers that offer a cloud orchestration platform, the products they offer are often proprietary, and not portable for various reasons.

Luckily, not all of them are like that. A great example would be Cloud Foundry a highly efficient, modern model provider for cloud-native application delivery. Thus, our investigation team reached out to its Chief Evangelist, Ram Iyengar, to enlighten us about the insights of this field.

What has your journey been like since your launch?

Cloud Foundry has always been focused on two fundamental areas orchestrating cloud resources and providing a fluid experience for application developers. The Cloud Foundry community successfully enabled this for virtual machines and continues to demonstrate success with its core project, while, more recently, expanding this developer experience to Kubernetes and the wider cloud-native ecosystem.

The Cloud Foundry Foundation today owns several well-integrated projects that exist to simplify the developer experience. Whether consumed in parts (for example Paketo Buildpacks, the Open Service Broker API, Stratos) or in whole as Cloud Foundry it helps adopters realize a convenient and powerful developer platform.

Multi-company open source is not without its quirks and complexities, and our path is no exception. In the past decade, we have been able to pull together and create one of the most advanced, active, and amicable communities in technology.

How did Cloud Foundry come about in 2009?

The PaaS substrate found its origins in the need for an enterprise-grade tool that could convert source code into immutable artifacts that are deployed to remote infrastructure. At the time, there were tools that could do easy deployments (think Heroku, AppEngine, EngineYard) or were enterprise-ready (think Oracle, IBM) but were not both.

Cloud Foundry emerged as a leader by virtue of its ability to combine both these foundational aspects and build a best-in-class developer experience on top of it. Slowly it evolved into numerous projects that aided the core PaaS to succeed.

Can you tell us a little bit about your development platform? What are its key features?

Cloud Foundry simplifies the deployment experience for application developers. It is a complete platform designed to support the consumption and governance of multi-cloud environments. This includes capabilities to build, deploy, monitor, and maintain applications.

Cloud Foundry works the exact same way for every programming language and framework, and is cloud-agnostic; developers have the same experience whether it is deployed on any major cloud provider, on-premises, or on a hosted service. This homogeneity makes it an ideal platform for software engineering teams that use different stacks, and different clouds, and operate across different teams.

Most recently, the community announced the release of a new, lighter-weight version of the Cloud Foundry platform, Korifi, which brings that best-in-class developer experience to Kubernetes. This is currently in beta and will be an important focus of the community in the coming years.

It is evident that open source is an important part of Cloud Foundry. Would you like to share more about your vision?

Cloud Foundry is entirely open source, licensed under the Apache 2 OSS license in contrast with several proprietary developer platforms that provide a seamless experience for application developers to deploy apps. However, since they either run on the public cloud or cannot be easily extended, enterprise-grade rollouts are not possible.

On the other hand, when you have an open-source tool, the barriers to entry are much lower and community benefits are much higher. Customizing for bespoke needs within enterprises is simpler. There are past examples of successful projects in which the community was able to swap components to create new tools and provide extendable functionality, made possible purely because of the open-source nature of the projects.

Do you think the recent global events influenced your field of work? Were there any new challenges you had to adapt to?

In some ways, the pandemic has been kind to open source projects and contributors. Because of remote work policies, a lot of contributors have had the opportunity to increase the number of hours in the day.

This has resulted in a cognitive surplus for open source projects and therefore weve seen an uptick in contributions - both technical and non-technical. Several project enthusiasts have also been posting information on social platforms for many others to take advantage of. This has helped increase the visibility of many open source projects.

What are the most common vulnerabilities nowadays, that if overlooked, can lead to serious problems for a business?

Remote code execution and malicious injection are perhaps the most notorious attacks that are taking place. Two recent CVEs - the Log4JShell and the Spring4Shell vulnerabilities come to mind immediately. Owing to the ubiquity of the underlying technology (Java in this case), a lot of software, devices, wearables, and other electronic equipment were left vulnerable. Being unable to secure these components can quickly avalanche to problems for the business.

Likewise, another trend that is gaining traction quickly is supply chain security, where the components of a larger software system are not verifiable, leading to issues with using them in a risk-free manner.

What would you consider the main challenges developers run into nowadays?

Distractions - Left shift and DevOps have both been very positive trends in software development. But having too many moving pieces for a single person to take care of and too many parameters to fine-tune can be overwhelming. The problem stems from DevOps transforming into DevSec-Fin-Biz-Log-ObsOps. The Dev++Ops role that a lot of developers are forced to take can be a challenge.

The second kind of distraction is plain old marketing. I see a lot of engineers say "Uber does microservices, so we're doing it", "Google uses Kubernetes, let us also do it", Airbnb this, Shopify that, and so on. This is not a healthy trend. Laying a good foundational architecture for your web applications is great, but at what cost? When this trickles down from an executive through the hierarchy, it can lead to dissonance and burnout for individual developers.

What are some of the best practices organizations should follow when creating cloud-native applications?

Containers, orchestration, services, APIs, security, and DevOps.

Containers, orchestration, services, APIs, security, and DevOps.

Finally, adopting these as axiomatic habits will result in the automatic adoption of the DevOps culture which is important for teams that intend to succeed with cloud-native applications.

Talking about average individuals, what security measures do you think every casual Internet user should have in place?

Basic safety and hygiene. Keep to trusted websites. Dont leave antivirus software outdated. Be wary of what information you share on the internet.

If youre visiting a new website, read the information twice. Do not write passwords on Post-it notes!

Share with us, whats next for Cloud Foundry?

Over time, the core focus of the Cloud Foundry community has shifted from making containerization and scheduling work at scale to interoperability with other cloud-native technologies and increased flexibility.

This haiku by Onsi Fakhouri (ex-Pivotal) - Here is my source code. Run it on the cloud for me. I do not care how. captures the Cloud Foundry vision, and this remains the core of Cloud Foundrys value proposition. Across infrastructure changes, different waves of DevOps tooling, and other ideas that unfold across the technological landscape, Cloud Foundry seeks to provide a simplified, best-in-class developer experience, extrapolating away underlying infrastructure and allowing application developers to focus on shipping code.

The latest effort in this tradition is Korifi, a project that converges the Cloud Foundry experience atop Kubernetes infrastructure. This allows for a uniform developer experience across Kubernetes, VMs, or other cloud-based infrastructure, and aims to make Cloud Foundry fully interoperable with Kubernetes and other cloud-native technologies as they mature.

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Cognitive Computing Market to be Worth $225.33 Billion by 2030: Grand View Research, Inc. – PR Newswire

SAN FRANCISCO, Aug. 31, 2022 /PRNewswire/ -- The global cognitive computing market size is projected to reach USD 225.33 billion by 2030, registering a CAGR of 27.6% from 2022 to 2030, according to a new study published by Grand View Research, Inc. The surge in demand for cognitive computing technology comes from an increased need for making better decisions, transforming industries, and democratizing expertise. The technology has become sought-after among decision-makers to handle the massive amount of data and iterative analytics. Industry leaders anticipate the use of cognitive computing systems will gain ground from the rising prominence of machine learning and natural language processing.

Key Industry Insights & Findings from the report:

Read 137 page market research report, "Cognitive Computing Market Size, Share & Trends Analysis Report By Technology, By Deployment (On-premises, Cloud), By Application (BFSI, Healthcare, Security, Retail, IT & Telecom, Aerospace), By Region, And Segment Forecasts, 2022 - 2030", published by Grand View Research.

Cognitive Computing Market Growth & Trends

Cognitive computing enables business organizations to incorporate advanced data analytics technology in their business processes to measure the risk associated with strategic initiatives. Industry players are progressively investing significantly in adopting modern cognitive solutions through profound research and development. The adoption of Artificial Intelligence and the Internet of Things that enables automated integration between software, hardware platform, and the consumer, has spurred industry growth.

Cognitive computing systems which use real-time analysis, machine learning, and natural language processing (NLP) have become sought-after to provide better results. Some of the prominent attributes, including voice recognition, text analytics, image & visual analytics, and clustering & deep learning, have encouraged leading companies to expedite investments in cognitive computing.

A notable uptick toward data analysis is expected to complement the development of cloud computing platforms and on-premises hardware equipment. Besides, advancements in cognitive technologies have augured well for market growth. For instance, cognitive systems have become the go-to technology for accurate data analysis and boosting customer interaction across industry verticals.

The healthcare industry has exhibited a profound inclination for cognitive systems to collate and assess data, including diagnostic tools, past data, medical journals, and reports. The prevalence of data-powered treatment recommendations has gained ground across emerging and advanced economies.

With companies striving to enhance customer experience, the cognitive computing process has garnered immense popularity. It has also leveraged end-users to provide valuable, contextual, and relevant inputs to the customers. It has the potential to identify strange behavior in the data by inspecting usage patterns to block cyber-attacks.

Cognitive Computing Market Segmentation

Grand View Research has segmented the global cognitive computing market based on technology, deployment, application, and region:

Cognitive Computing Market - Technology Outlook (Revenue, USD Billion, 2017 - 2030)

Cognitive Computing Market - Deployment Outlook (Revenue, USD Billion, 2017 - 2030)

Cognitive Computing Market - Application Outlook (Revenue, USD Billion, 2017 - 2030)

Cognitive Computing Market - Regional Outlook (Revenue, USD Billion, 2017 - 2030)

List of Key Players in the Cognitive Computing Market

Check out more related studies published by Grand View Research:

Browse through Grand View Research's Next Generation Technologies IndustryResearch Reports.

About Grand View Research

Grand View Research, U.S.-based market research and consulting company, provides syndicated as well as customized research reports and consulting services. Registered in California and headquartered in San Francisco, the company comprises over 425 analysts and consultants, adding more than 1200 market research reports to its vast database each year. These reports offer in-depth analysis on 46 industries across 25 major countries worldwide. With the help of an interactive market intelligence platform, Grand View Research Helps Fortune 500 companies and renowned academic institutes understand the global and regional business environment and gauge the opportunities that lie ahead.

Contact:

Sherry JamesCorporate Sales Specialist, USAGrand View Research, Inc.Phone: 1-415-349-0058Toll Free: 1-888-202-9519Email: [emailprotected]Web: https://www.grandviewresearch.comGrand View Compass| Astra ESG SolutionsFollow Us: LinkedIn | Twitter

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To trace Big Tech competition, follow the money – Axios

The best way to understand the ways that Big Tech companies do and don't compete with one another is to use the old Watergate adage: Follow the money.

Why it matters: How Apple, Google, Facebook, Amazon and Microsoft make their revenue today shapes the battles they will fight tomorrow.

The big picture: For years, the largest tech companies each had their own fiefdom where they garnered the lion's share of revenue and profits.

Yes, but: As they have each become enormous, their search for growth has begun leading them onto one another's turf.

Be smart: Like wealthy families that have run a town for decades, these companies share a vast web of dependencies and grudges as in the recent privacy war between Facebook and Apple, or Apple's slow and steady effort to wrest the mobile maps market out of Google's control.

Here's what you find when you "follow the money" for each of tech's Big 5:

Hardware mostly phones and computers still generates the bulk of Apple's sales and makes the company's other businesses possible. But the company has significantly diversified its revenue in recent years.

For all its talk of the metaverse, the social networking giant still gets nearly all its revenue from ads on Facebook and Instagram. Those cash cows have proven vulnerable thanks to the constraints of the operating systems they run on most importantly, when changes Apple made to tracking significantly dented Facebook's mobile revenue.

Google is rightly described as "the search giant," but its ambitions extend into the kinds of cloud computing offered by Amazon and Microsoft. And, while it doesn't charge directly for Android, it generates a significant amount of its ad revenue from mobile devices.

The online retail giant also has an omnivorous appetite for other kinds of businesses, including its massive web services arm as well as offline groceries (via Whole Foods), video and audio content, ebooks, prescription drugs and medical services. And any time Amazon enters a business, it brings the enormous power of its distribution network and access to hundreds of millions of Prime subscribers.

The dominant giant of the desktop era still casts a long shadow over the tech world, with massive revenue streams rooted both in its venerable Windows and Office products as well as a highly successful newer business line in cloud services.

Competition among these companies is increasingly a global affair, as the search for growth draws them onto terrain outside the U.S. where they face big challenges based on culture, language and economics.

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To trace Big Tech competition, follow the money - Axios

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Google Drive vs Dropbox: Which cloud solution is right for you? – TechRadar

Dropbox was one of the early players on the cloud scene, back when Google Drive was just a glint in the eyes of Sergey Brin and Larry Page. Founded in 2007, it had a sizable head-start on Google Drive, which wasnt founded until 2012, but Googles offering has caught up in terms of popularity. That doesnt necessarily mean, however, that there is a clear winner when users are weighing up the Google Drive vs Dropbox debate (not to mention the other contenders for the title of best cloud storage).

Theres a reason why Dropbox has enjoyed such longevity in the highly competitive cloud computing space and why it continues to be a standout choice, whether users are looking for the best cloud document storage, the best business cloud storage, or even the best free cloud storage. However, Google Drive has considerable strengths too and the delivers close integration with the heft of the mighty Google ecosystem.

The cloud market is a fragmented one, presenting a multitude of different platforms for individuals to consider. Deciding between Google Drive and Dropbox is not an easy decision - and may ultimately depend on how wedded you are to Googles suite of other tools. However, we aim to help you come to an informed choice.

The below guide outlines the pros and cons of both Google Drive and Dropbox, so you can determine which cloud storage solution is the right one for your needs. Our comparison assesses the features, performance, support, and pricing of both solutions, so you can make up your own mind when weighing up Google Drive vs Dropbox.

The good news is, for users of either Google Drive or Dropbox, both platforms offer all the basic features that individuals have come to expect from their cloud storage solution, including file transfers, backup, and file syncing across devices.

In addition, both platforms also offer more advanced features. Dropbox, for example, offers block-level syncing, which should speed up syncing and also a smart sync option, which lets users choose the files that are shared locally and those that are only accessible through the cloud. The lack of a block-sync feature in Google Drive is disappointing and while the solution has recently implemented something similar to Dropboxs smart sync, it reportedly isnt quite as user-friendly.

Businesses, or individuals storing sensitive documents, will be pleased to hear that both platforms allow users to recover files that have been wrongfully edited or deleted. Dropbox Business gives users 180 days to recover files, while Google Drive allows individuals to keep older versions of their files without a time limit. If indefinite file versioning is important to you, Google Drive has the edge.

In terms of performance, comparisons between Google Drive and Dropbox are complicated somewhat by the different tiers available for each. Having said that, most users have commented on Dropboxs superior performance - particularly when using the paid version. In terms of speed, Dropbox comes out on top in most comparisons - which, again, could be a dealbreaker for businesses that commonly upload large files.

The user interfaces offered by Dropbox and Google Drive are both intuitive and easy to use, with both platforms accessible from either a desktop application or the web browser of your choice. So, both platforms offer strong, fast performance that is easy for even non-technical individuals to get to grips with, but Dropbox does boast slightly better speeds.

As you might expect from two big names in cloud computing, all the usual support channels are provided - email, live chat, and telephone. As is often the case, live chat is usually the quickest route across both platforms. If you would prefer to receive support via email, Dropbox promises a response to each query in 24 hours (although users may well receive support faster than that).

Although there have been reports that Google Drives support system is not that easy to use, there is an extensive help center that contains a wide range of support, and an active community forum to provide extra assistance.

Both Dropbox and Google Drive have strong free offerings if individuals or businesses want to get to grips with the platforms before committing themselves financially. The free Dropbox plan does only offer a disappointing 2GB of storage, however, which is massively dwarfed by the 15GB provided by the free Google Drive plan.

Examining the paid business plans for each solution, Google Drive (via Google Workspace) charges on a per-user, per-month basis, with customers receiving 30GB for $6, 2TB for $12, and 5TB for $18. Theres not too much in it, but Dropbox's business plans are slightly cheaper, offering 5TB of storage for $15 per user, per month, and unlimited storage for $25 per user.

Deciding between Google Drive and Dropbox is likely to come down to two crucial factors: how committed you are to Googles other tools and how important speed is to you. If performance is everything, then its difficult to see past the extra speed offered by Dropbox.

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Impact of covid-19 on Cloud Computing in Education Sector market Report to 2028 – Industry Demand Analysis and Current Trend – NewsOrigins

The recent research report on Cloud Computing in Education Sector market provides a competitive advantage to shareholders by illustrating the growth trajectory of this business vertical during through a deep-dive analysis of recent and historical performance. Additionally, the estimations offered in the document are verified by experts through proven research methodologies. Apart from providing vital information sourced from both primary and secondary sources, the study also includes multiple recommendations to help firms in determining efficient growth tactics.

The business intelligence report on Cloud Computing in Education Sector market focuses on key factors such as drivers, restraints and newest openings that may influence the scope of revenue generation for the business sphere during 2022-2028. The research literature also provides an overview of past and current growth rates, as well as projections for the coming years.

Notably, all the information pertaining to these parameters has been compiled using proven primary and secondary research methodologies, thereby proving its reliability among major industry players.

Request Sample Copy of this Report @ https://www.newsorigins.com/request-sample/54378

The document portrays a clear distinction of competitive fierceness while also profiling latest innovations, product offerings and strategic efforts initiated by industry moguls over the study period.

Market segmentation and coverage

Product range:

Application spectrum:

Competitive landscape summary

Industry value chain analysis overview

The industry value chain assessment, which theorizes customer retention, distribution channels and sales is included to assist organizations in limiting their operational expenses at various stages of product manufacturing thereby allowing them to magnify their revenue margins in the forthcoming years.

FAQs: -

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Jio Cloud PC: Will it be a game changer for small and medium businesses? – Business Standard

In its 45th Annual General Meeting (AGM) on August 29, Reliance Industries announced a slew of investments in its telecom and fiber foray. One such announcement was the Jio Cloud PC, which hosts a virtual PC in the cloud.

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Can VMware stand a recession-driven hit to IT spend? – Invezz

IT spend usually takes a hit when a recession is nigh, but VMware Inc (NYSE: VMW), as per CEO Rangarajan Raghuram, has not seen such a slowdown so far.

The cloud computing and virtualisation technology company recently reported market-beating results for its fiscal second quarter. This morning on CNBCs TechCheck, the chief executive said:

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Were tied to how the customers think about their digital transformation journey and the adoption of multi-cloud. Because its once in a generation transformation, we expect it to continue well into the second half.

The California-based company ended Q2 with $12.10 billion of remaining performance obligations, up 8.0% on a year-over-year basis.

Wall Street currently recommends that you buy VMware stock as it has upside to $139 on average that translates to a 20% increase from here.

Also on Tuesday, VMware unveiled Aria for multi-cloud management at Explore its flagship conference that was previously known as VMworld. CEO Raghuram added:

Customers find themselves very quickly putting a lot of applications everywhere as they build out their digital infrastructure. As a result, spending, security, management sometimes goes out of control. Aria solves these problems.

Earlier this year, Broadcom said it will buy VMware for $61 billion in cash and stock (one of the largest takeovers ever in the tech space).

The transaction is expected to complete in its fiscal 2023 so long that it secures regulatory and shareholders approval.

10/10

68% of retail CFD accounts lose money

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Seismic Noise Analysis and its Role in Mining Hazard Prevention – AZoMining

Seismic noise can be generated through continuous vibrations at different frequencies inside the earth. Typically, there are three commonseismic noise sources encountered in the field: natural seismic noise, man-made electromagnetic interference (EMI), and man-made seismic noise. This noise can monitor a mines seismicity and structural integrity to detect potential ground hazards.

Image Credit:calcassa/Shutterstock.com

The mining process is non-spontaneous and can induce stresses in the mining region. On average, the mining-induced deformation rate is greater than the average slip rate of tectonic plates by a magnitude of at least two orders.

Deformation and stress-relaxation caused by underground openings are followed by rock extractions, which initiate bulk seismic activity in the mines.

During stress-relaxation, the accumulated potential energy in the rock mass may be released suddenly or gradually.

A sudden inelastic deformation will lead to a seismic event.

The subsequent seismic waves vary in amplitude and frequency depending on the rocks strength and stress state, the seismic sources size, and the magnitude of the deformation rate during fracture.

The seismic response of rocks in mines can be monitored to quantify, prevent, control, and even predict potential rock mass destabilization resulting in rock bursts. Furthermore, blasting vibrations, energy release due to rock crack propagation, and mechanical vibrations induce microseismic events in underground mines.

Increased mining-induced stress can also cause the filling up of cracks, fractures, pores, and voids, which increases the elastic wave velocity.

Microseismic events of varying magnitudes due to rock fracturing can excite elastic waves in the surrounding rocks.

Although these events are of smaller magnitudes, their locations are superficial and closer to the surface. Therefore, they can inflict major damage and loss of life and have a high occurrence rate.

Although past data can be beneficial for comparing seismic rock masses to various mining scenarios, it is not the optimum indicator of future hazards due to the irregular nature of mass loading. Seismic monitoring is widely used to detect, locate, and estimate the size or strength of ground movements.

Seismicity recordings in the mines of the United States ranged from using small-scale arrays, collecting analog signals by geophones, and personal computer seismic unified data structures (PC-SUDS).

In Germany, seismicity monitoring at underground coal mines is conducted by 60 seismic stations, which use three-component 4.5-Hz geophones operating at 500 samples/second. About 20 mines in Poland use the seismic network developed by the central mining institute (CMI) comprising conventional and broadband 1-Hz short-period triaxial sensors.

In Australia, fracturing processes due to longwall caving have been delineated using microseismic monitoring systems developed from numerous temporary research networks. Most of these networks utilized a triaxial geophone sensor. These sensors are grouted into the drilled surface boreholes that provide real-time analysis of the microseismic data.

Methods such as ambient noise tomography record dispersive surface waves and create a three-dimensional (3D) model of the s-wave velocity structure. These passive methods provide a low-cost solution to image the subsurface, delineate structural integrity, and help avoid potential hazards.

Techniques such as velocity tomography use seismic waves produced from mining-induced microseismic activities such as explosions to structure the stress state or the rock mass conditions. However, the quality of results from velocity tomography can be affected by factors such as accurate arrival time picking, high-resolution source location, ray tracing, and efficient inversion algorithms.

Velocity tomography is primarily used to monitor rock mass stability, detect geological structure and discontinuities, and prevent rock burst hazards.

A recent study by Wu and team evaluated noise cross-correlations functions (CCFs) by analyzing one month of surface 17 geophone array data at a longwall coal mine. Their work established that the CCFs related to the ambient noise could be isolated and used to trace mining-induced signals, enabling further research on structural integrity.

Other recent studies have reported using passive seismic data to model the subsurface as an attractive approach for implementing mine safety and preventing hazards.

Seismic noise tomography is another environmentally friendly, inexpensive technique used in exploration and subsurface structure detection. This, coupled with the latest advancements in compact autonomous seismic recording stations and low-cost data collection spanning over a month, makes it an attractive prospect in future mining applications.

Methods such as velocity tomography are advantageous due to their broad monitoring range, allowing them to be utilized at a mine scale or a regional scale and carry out long-term continuous observations. However, it is limited due to deviations of the calculated source locations from their actual positions and can be less reliable in mined-out areas with lesser ray coverage.

Velocity tomography has efficiently analyzed mining-induced stress distribution in hard rock and underground coal mines. Hence, this methods ability to assess rock instability and rock disturbances can be helpful in early predicting and evaluating mining-induced hazards and enhanced ground control. However, the results of this method are not always effective and successful and hence require improvements in timeliness and accuracy.

Swanson P, Boltz MS, and Chambers D. Spokane, Seismic monitoring strategies for deep longwall coal mines. WA: U.S. Department of Health and Human Services, Centers for Disease Control and Prevention, National Institute for Occupational Safety and Health, DHHS (NIOSH) Publication No. 2017-102, RI 9700. https://www.cdc.gov/niosh/mining/works/coversheet1944.html

Mendecki, Aleksander & Lotter, Ernest. (2011). Modelling Seismic Hazard for Mines. https://www.researchgate.net/publication/236183155_Modelling_Seismic_Hazard_for_Mines

Mendecki, Aleksander & Van Aswegen, Gerrie &Mountfort, Peter. (1999). A guide to routine seismic monitoring in mines. https://www.researchgate.net/publication/236204233_A_guide_to_routine_seismic_monitoring_in_mines

Durkin, John, Greenfield, Roy J., Evaluation of the Seismic System for Locating Trapped Miners, Buereau of Mines Report of Investigations/1981, United States Department of the Interior. https://www.cdc.gov/niosh/mining/UserFiles/works/pdfs/ri8567.pdf

Nicola Ramm, Tjaart de Wit & Gerrit Olivier (2019) Passive Seismic Imaging for Mineral Exploration, ASEG Extended Abstracts, 2019:1, 1-3, DOI: 10.1080/22020586.2019.12073177. https://doi.org/10.1080/22020586.2019.12073177

Li, Y.; Deng, H.; Wen, L.; Qin, Y.; Xu, X. Method for Identifying and Forecasting Mining-Induced Earthquakes Based on Spatiotemporal Characteristics of Microseismic Activities in Fankou Lead/Zinc Mine.Minerals2022,12, 318. https://doi.org/10.3390/min12030318

Zhu, Qiankun& Zhao, Xingdong& Westman, Erik. (2021). Review of the Evolution of Mining-Induced Stress and the Failure Characteristics of Surrounding Rock Based on Microseismic Tomography. Shock and Vibration. 2021. 1-19. 10.1155/2021/2154857. https://www.researchgate.net/publication/354647108_Review_of_the_Evolution_of_Mining-Induced_Stress_and_the_Failure_Characteristics_of_Surrounding_Rock_Based_on_Microseismic_Tomography.

Santiago Rabade, SinMei Wu, FanChi Lin, Derrick J. A. Chambers; Isolating and Tracking Noise Sources across an Active Longwall Mine Using Seismic Interferometry.Bulletin of the Seismological Society of America2022; doi:https://doi.org/10.1785/0120220031

Disclaimer: The views expressed here are those of the author expressed in their private capacity and do not necessarily represent the views of AZoM.com Limited T/A AZoNetwork the owner and operator of this website. This disclaimer forms part of the Terms and conditions of use of this website.

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Digital Identities Will Change The Nature Of Online Reputation – Forbes

Web 3 reputation

The internet is changing. The era of Web 2, dominated by big tech, social media, streaming, and subscription-based service models, is quickly fading away and giving rise to Web 3. Ownership and control of user data in Web 2 rests firmly in the hands of centralized tech companies.

By contrast, Web 3 allows individuals to seamlessly transfer their data and assets over multiple platforms privately, securely, and transparently. Most importantly, it doesnt expose an individuals information and metadata to commoditization unless the individual wishes to provide it, leaving them with complete control. While this self-sovereign approach to individual ownership and control will apply to most forms of personal information, such as financial and medical history, it will also be incredibly pertinent to our future digital reputations.

A New Type of Identification

Digital reputations can be curated but are often anchored directly to the social media platform, group, or community upon which they were created. Furthermore, an individuals social media persona and following are not directly portable from one platform to another and can easily be revoked at the discretion of the company running the platform. However, In Web 3, individuals will avoid such issues through direct ownership of a single digital identity that goes wherever they go, both online and in the real world.

Similarly, individuals will retain control over visibility and access to their personal information stored within their digital identity otherwise known as Self-Sovereign Identity (SSI). This personal data can also be provided via homomorphic encryption or to Secure Enclave processing environments, which reap the benefits of contributing the data without disclosing any private user information. If medical information does need to be shared with a healthcare provider, for example, it can be selectively disclosed or ideally provided as zero-knowledge proofs (ZKPs). Permission can even be time-based so that the data is removed once a predetermined expiry point is reached.

Conventional reputation could even involve an individual's credit history or credit score. Credit history can be proven by the individual in the form of verifiable credentials or receipts held by the individual proving their transaction history and eliminating the need to store it centrally with a third party.

Another more current area in which digital identity and portable reputation could prove the most useful is within Decentralized Autonomous Organizations or DAOs. DAOs allow for cooperation between members in a way that has no central authority. There are a variety of different ways in which DAOs can be structured, but they increasingly require trust.

Having a merit-based reputation is essential in this case. With blockchain-based verified digital identity, it is possible to remain anonymous, but have cryptographic proof of a specific humans verified, merit-based credentials, even without revealing any of their secure personal information. The digital identity can act as a reputation scorecard, which can be updated in real-time, proving what they have contributed or other relevant reputation data.

What Digital Identities Could Look Like, And Offer

So, what would a system such as this look like?

User metadata and consumer spending information, in the form of verifiable credentials and receipts, can be blind signed for the owner and encrypted within a digital identity and then provided across networks and platforms. Financial transaction data, account balances, digital assets, permissions and social network interactions would all be applicable. The data shared or requested could be customized to specific apps, and all data cryptographically secured so that no third party could access them without permission.

Perhaps most importantly, this digital identity could use an individuals biometric data, such as face, fingerprints, or similar. These biometric credentials can be supported with storage of the individual's biometric template in a self-sovereign manner, allowing only the user to access and control them. This would make it impossible for anyone besides the actual owner of the identity to utilize the credentials.

This could then act as a form of universal Verifiable Credentials (VCs) that would be acceptable for any platform to confirm who someone is but wouldnt give access to any information that an individual elected to restrict. As an individual demonstrates experience, earns certifications, or expands their credentials, this digital identity would instantly reflect that, evolving an online reputation.

In fact, the potential for this type of system goes way beyond just the internet. There is also a vast case for Digital IDs in more traditional offline settings. Most likely, through smartphone integration of a supporting ID wallet, individuals could access workplaces, entertainment venues, festivals, and events with verifiable credentials or NFT tokenized access. This will make security at such locations tighter, as only approved persons will be able to gain entry.

Giving Power Back to the Individual

The benefits of digital ID to user security are many and will have major implications for combating scams, fraud and money laundering. However, perhaps the biggest boon for the adoption of digital ID adoption is their function in the empowerment of individuals. Centralized Web 2 businesses have had full access and control over user data for too long; Web 3 will change this.

Some have shared concerns about placing such responsibility in the hands of users. At worst, they can lose access to the digital identity; however, even in this instance, the ID would still be secure and unusable by others, Moreover, users could simply create another digital identity as they are the only ones in control of the assets required to recreate it, such as photo IDs and biometrics, which others could not substantiate.

In addition to protection from data mining, digital IDs will also protect people from scammers, hackers and other malicious activity. Data leaks, identity theft, and malware attacks that all too often cause havoc for Web 2 users will be all but eradicated. Even age verification requests can be actioned without having to reveal a persons age, as the individuals verified credentials are seamlessly tied to their digital ID through zero-knowledge proofs.

SSIDs and their integration with Web 3 are sure to dramatically impact how we all interact both online and in our day-to-day lives. A persons reputation will become a form of currency because, unlike most of human history, it wont be able to be falsified or obscured. This marks the end of the age when big tech companies govern our information and the beginning of an era where individual control over personal data is the standard and making a verified self-sovereign digital identity as the gateway to the internet.

About the author:

Alastair Johnson is Founder and CEO of Nuggets, an award-winning decentralized, self-sovereign identity and payment platform. Its the only platform of its kind that truly brings together payments and digital identity, utilizing self-sovereign data principles.

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Digital Identities Will Change The Nature Of Online Reputation - Forbes

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