Monthly Archives: October 2019

Mirror, mirror on the wall, which is the fairest industry of them all?

In a world where so many companies are struggling, cloud computing stands out as that rare thing: a fabulous growth business that shows no sign of slowing down soon. Measured by market value, three of the worlds four biggest companies are now cloud providers: Microsoft, Amazon and Google.

Put together, these three alone are worth more than $2.8 trillion (2.2 trillion) and much of their value flows from the highly profitable businesses they have built storing and managing data on behalf of others on the public cloud.

As more and more organisations opt to shut down their own in-house data centres and plonkeverything on...

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Heads in the cloud: how worried should we be that so much of our data is in the hands of the few? - Telegraph.co.uk

A team of researchers headed by Michael Zink, an engineer at the University of Massachusetts Amherst, will develop a testbed for research and development of new cloud computing platforms thanks to a grant from the National Science Foundation. The collaborative project with Boston University and Northeastern University could reach a total of $5 million if fully funded after a review by the NSF in three years. The funding for UMass Amherst is $888,412 for the first three years.

Cloud computing, the delivery of services over the internet, plays an important role in supporting most applications we currently use, Zink says. Testbeds such as the one being constructed by the research team are critical for enabling new cloud technologies and making the services they provide more efficient and accessible to a wide range of scientists focusing on research in the area of computer systems, he says.

Zink is an associate professor of electrical and computer engineering (ECE) at UMass Amherst, and will be working with Orran Krieger, ECE professor at Boston University and Peter Desnoyers, associate professor of computer sciences at the Northeastern University Khoury College of Computer Sciences.

Zink says, This testbed will accelerate innovation in cloud technologies, technologies affecting almost all of computing today. By providing capabilities that currently are only available to researchers within a few large commercial cloud providers, the new testbed will allow diverse communities to exploit these technologies, thus democratizing cloud-computing research and allowing increased collaboration between the research and open-source communities.

This project will construct and support a testbed for research and experimentation into new cloud platforms the underlying software which provides cloud services to applications. Testbeds such as this are critical for enabling research into new cloud technologies. This is research that requires experiments which potentially can change the operation of the cloud itself.

The testbed will integrate capabilities previously developed in the CloudLab testbed with the Mass Open Cloud(MOC), a production cloud hosted by Boston Universitys Hariri Institute for Computing and developed through a partnership of academia (BU, Harvard University, Northeastern, MIT and UMass), government (Mass Tech Collaborative, U.S. Air Force) and industry (Red Hat, Intel, Two Sigma, NetApp, Cisco). Over the past six years, the MOC has grown into a community of thousands of users and provides the ideal environment for this purpose.

The testbed and the MOC are possible because of the Massachusetts Green High-Performance Computing Center, a 90,000 square-foot, 15-megawatt facility located in Holyoke and established as a joint venture between BU, Harvard, MIT, Northeastern and UMass. An important part of the MOC has always been to enable cloud computing research by the academic community, says Krieger. This project dramatically expands our ability to support researchers both by providing much richer capabilities and by expanding from a regional to a national community of researchers.

The new testbed will combine proven software technologies with the MOC while adding new technologies, including programmable hardware called field programmable gate arrays (FPGA). FPGAs provide capabilities not present in other facilities available to researchers today, enabling investigation into hardware acceleration techniques. The combination of a testbed and production cloud allows for work on a larger scale compared to isolated testbeds, reproducible experimentation based on realistic user behavior and applications, as well as a model for transitioning successful research results to practice. All of these features are currently not offered by commercial cloud providers to computer systems researchers.

The community outreach portion of the project aims to identify, attract and retain interested researchers, and to educate them in the use of the facility. Tutorials, workshops and webinars will offer training in the use of the testbed. The project will support educating the next generation of researchers in this field, and existing relationships with industrial partners of the affiliated production cloud will accelerate technology transfer from academic research to practical use.

The testbed also offers a unique sustainability model by allowing additional computing resources to be dynamically moved from institutional uses into the testbed and back again, providing a path to growth beyond the initial testbed.

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UMass Amherst Engineer Michael Zink Leads Research Team Developing New Cloud Computing Platforms - UMass News and Media Relations

Pensando, an edge computing startup founded by former Cisco engineers, came out of stealth mode today with an announcement that it has raised a $145 million Series C. The companys software and hardware technology, created to give data centers more of the flexibility of cloud computing servers, is being positioned as a competitor to Amazon Web Services Nitro.

The round was led by Hewlett Packard Enterprise and Lightspeed Venture Partners and brings Pensandos total raised so far to $278 million. HPE chief technology officer Mark Potter and Lightspeed Venture partner Barry Eggers will join Pensandos board of directors. The companys chairman is former Cisco CEO John Chambers, who is also one of Pensandos investors through JC2 Ventures.

Pensando was founded in 2017 by Mario Mazzola, Prem Jain, Luca Cafiero and Soni Jiandani, a team of engineers who spearheaded the development of several of Ciscos key technologies, and founded four startups that were acquired by Cisco, including Insieme Networks. (In an interview with Reuters, Pensando chief financial officer Randy Pond, a former Cisco executive vice president, said it isnt clear if Cisco is interested in acquiring the startup, adding our aspirations at this point would be to IPO. But, you know, theres always other possibilities for monetization events.)

The startup claims its edge computing platform performs five to nine times better than AWS Nitro, in terms of productivity and scale. Pensando prepares data center infrastructure for edge computing, better equipping them to handle data from 5G, artificial intelligence and Internet of Things applications. While in stealth mode, Pensando acquired customers including HPE, Goldman Sachs, NetApp and Equinix.

In a press statement, Potter said Todays rapidly transforming, hyper-connected world requires enterprises to operate with even greater flexibility and choices than ever before. HPEs expanding relationship with Pensando Systems stems from our shared understanding of enterprises and the cloud. We are proud to announce our investment and solution partnership with Pensando and will continue to drive solutions that anticipate our customers needs together.

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Edge computing startup Pensando comes out of stealth mode with a total of $278 million in funding - TechCrunch

Dive Brief:

Bank of America has focused on improving its customer experience and creating responsive digital tools users expect in the mobile era of computing.

In a "high-touch, high-tech" strategy, BofA has worked to redesign how customers interact with its financial centers and prioritizing digital banking.

Since 2010, BofA has spent $25 billion on new technology initiatives, which includes rearchitecting "major systems," building an internal cloud, and building software with rapid speed to market, Moynihan said in BofA's 2018 annual report.

The bank was formed in 1998 and, much like every legacy enterprise, has technology debt to contend with. Financial services institutions are particularly vulnerable because of regulatory and compliance pressures.

The reliability of mainframes, which handle bulk transaction processing like a dream and power many ATMs, can make it difficult to modernize. Long-running infrastructure becomes nested with modern applications, not primed for the digital era.

In recent years, big banks have heavily invested in technology to update older systems and make way for a digital era. J.P. Morgan Chase & Co. allocated $11.4 billion for technology; in 2018, BofA spent $10 billion.

While smaller banks are spending most of their tech budgets on maintenance, larger institutions are looking toward innovation and security. As technology architectures become more digital, infrastructure maintenance shifts to third-party providers, leaving the banks to focus on innovation and customer needs.

BofA is not alone in looking toward the cloud, but its private approach falls in line with compliance and regulatory apprehension. Institutions wary of public cloud risks regardless of the computing power provided look to Capital One as an example of what could go wrong.

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Bank of America prioritized internal cloud. Now it's evaluating third-party providers - CIO Dive

New York City, NY: October 16, 2019 Published via (Wired Release) Global Cloud Computing Marketelaborates on the complete details covering growth factors, opportunities, key companies, applications, and regions. The report covers useful details that are categorized based on regions, major players, and applications which will provide a simplified view of the Cloud Computing industry. This report provides the competitive scenario of the major market players based on the customer demands, sales revenue, company profile, the business tactics used in the market which will help the emerging market segments in making vital business decisions.The Cloud Computing market study is based on major geographical regions, and the regions covered in this report are Asia Pacific, Middle East & Africa, North America, Europe, and Latin America.

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Leading Players Of Cloud Computing Market Are:

CA Technologies, Cisco Systems, Google, HP, Amazon.Com, IBM, Microsoft, SAP AG, Yahoo! Inc., Oracle, Flexiant, Citrix Systems, Inc., ENKI Consulting, Akamai Technologies, Inc., Citrix Systems, Inc.

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Cloud Computing Market Segmentation, By Deployment: Private Cloud, Community Cloud, Hybrid Cloud, Public Cloud. Cloud Computing Market, By Service:Platform as a Service (PaaS),Infrastructure as Service (IaaS),Software as a Service (SaaS)

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Global Cloud Computing Market Consumption Growth Rate And Product Segment Forecast To 2019-2028 - The State News - BBState

At the CEATAC event in Japan, Microsoft announced new additions to its Windows and SQL Server family of products to support IoT and Edge Computing use cases. The new portfolio helps Microsoft in realizing its vision of Intelligent Cloud and Intelligent Edge.

Windows 10 IoT Core

During his keynote at CEATEC, Microsoft's Partner Director of Program Management for Intelligent Edge Operating Systems, Ian LeGrow announced the new flavor of operating systems under the Windows for IoT family. He also announced the partnership with NXP, a Netherlands-based semiconductor company that manufactures microcontrollers and processors. There is a new version of SQL Server exclusively designed for the edge. Microsoft is building a set of container images for accelerating machine learning inferencing at the edge.

Windows 10 IoT Core was the first device-specific OS from Microsoft which is optimized for smaller devices with or without a display that runs on both ARM and x86/x64 devices. It can be installed on popular single-board computers such as Raspberry Pi, DragonBoard 410c, MinnowBoard and NXP devices. Developers can use C, .NET Core and Python environments to develop IoT applications.

In addition to Windows 10 IoT Core, Microsoft has invested in additional flavors of Windows - Windows 10 IoT Enterprise and Windows Server IoT 2019.

Windows 10 IoT Enterprise is targeted at independent device vendors and software vendors building industrial IoT products. Microsoft calls it a binary equivalent to Windows 10 Enterprise, which includes familiar development and management tools as client PCs and laptops. The OS is meant to build fixed-purpose devices that run a single application or a fixed-set of applications. Windows 10 IoT Enterprise runs on a wide range of AMD and Intel CPUs.

Edge Computing is not just confined to single-board computers and smaller devices. High-end servers can also be configured as Edge Computing machines. To support the heavy-edge scenario, Microsoft has a flavor of Windows Server branded as Windows Server IoT 2019. It is a binary equivalent to Windows Server 2019 that enables the usage of the same familiar development and management tools as general-purpose servers running Windows Server. Customers can run data processing, machine learning, and analytics workloads at the Edge based on Windows Server IoT 2019.

Microsoft has tightly integrated Windows for IoT family with Azure. All the devices based Windows IoT OS are registered with Azure IoT Hub for management and maintenance.

To bring AI and ML inferencing to the edge, Microsoft has built a container image called the Windows ML container. Currently available in preview, it is specifically designed for delivering AI-inferencing workloads built using the Windows ML API. The container image can take advantage of GPU acceleration provided by the underlying hardware. Applications can use sensors or cameras connected using USB, I2C, SPI or GPIO through the container. Microsoft has optimized the container image to run on devices with resource constraints. The company claims that the on-disk size of the container is approximately 350 MB, significantly smaller than any other GPU-enabled inferencing container in the market.

Apart from the OS, Microsoft has also built a flavor of SQL Server exclusively for IoT and Edge called SQL Server IoT 2019. According to Microsoft, SQL Server IoT 2019 is the binary equivalent to SQL Server 2019, which will be licensed through the OEM channel. The product is specifically designed for dedicated-use, server-class Edge appliances running application software. SQL Server IoT 2019 can be deployed on Windows Server IoT 2019 to bring mission-critical data processing and analytics capabilities to the Edge.

Microsoft has also announced the general availability of Windows 10 IoT Core Board Support Packages for the NXP i.MX family of processors in partnership with NXP. Customers can use the combination of Windows and NXP devices that are connected to the Azure cloud to deploy industrial automation and IIoT workloads.

Having invested in the cloud platform for IoT services, Microsoft is now expanding the OS and server portfolio to support industrial IoT and Edge Computing use cases.

The software stack on the devices based on Windows IoT, SQL Server IoT, Azure IoT Edge, Stream Analytics, Windows ML Containers combined with Azure IoT platform in the cloud covers the whole spectrum of devices and cloud for building intelligent connected solutions.

With Windows for IoT and the Azure IoT platform, Microsoft has a unique advantage in delivering an integrated edge-to-cloud platform to customers.

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Microsoft Expands IoT And Edge Computing Portfolio With Windows And SQL Server - Forbes