Cloud Solutions

Cloud Computing: Closer to the Edge Data Center

Grazed from DataCenterJournal. Author: Dr. Thomas Wellinger.

Away from urban areas, high-bandwidth applications (mobile computing, HD video, cloud...) can suffer. Data centers on the ‘edge’ of the internet, away from traditional hubs, can help. Large volumes of popular content and applications (like Netflix series) are cached on servers closer to less densely networked ‘tier-two’ markets. There are a few things to consider, when specifying and building an edge data center.

First, there are space constraints. Cabling from servers often directly connects to a fibre platform in a central network cabinet. The fibres have to accommodate twisting and cable moves, adds and changes. Data has to move through cables at awkward angles without quality loss. Network cabinets need lots of space for switches...

Microsoft Cloud Initiatives Lining Up for Global Enterprise Segment Domination

Grazed from 1RedDrop. Author: Editorial Staff.

You may have come across several articles in the past about how Amazon is trying to achieve global domination. The way the company has gone about its business, disrupting the retail industry in United States, swiftly moving into all the top ten economies of the world and a few more, and continually growing its revenues at double digit rates despite making more than $100 billion dollars a year. Does it look at all like they are on an unstoppable roll?

But this article is not about Amazon. It’s about Microsoft. Surprise! It’s about how much the company has changed in the past few years, and how, little by little, their plan to dominate the enterprise market around the world is taking shape. Microsoft in its previous avatar did Windows, and then some...

Huawei and Altair to Pursue High-Performance Computing and Build Industrial Simulation Cloud Solutions

Grazed from PRNewsWire. Author: Editorial Staff.

Huawei and Altair have signed a Memorandum of Understanding (MoU) at CeBIT 2017, marking the beginning of a cooperation for High-performance Computing (HPC) and Cloud Solutions. The two companies will cooperate with each other to develop industrial simulation cloud solutions for their customers.

In accordance with the terms of the cooperation, they will build a joint test center in Huawei's Munich OpenLab to carry out software and hardware optimization tests based on Altair's PBS Works and Huawei's HPC and cloud platforms. Taking full advantage of the high performance and reliability of Huawei's HPC and cloud platforms, the joint tests will help customers reduce software integration and performance verification workloads considerably and simplify the deployment and management of industrial simulation cloud platforms...

State Of Cloud Analytics In The Enterprise

Grazed from Forbes. Author: Editorial Staff.

  • Cloud is an essential part of the analytics strategy of 70.1% of respondents, and 21.6% state that it is necessary as part of their analytics adoption.
  • Highest levels of cloud adoption involve moving and storing data, through data integration (61.1%) and data warehousing (55.8%).
  • 83.1% currently have mobile analytics implementations.
  • Enterprises are on a cloud analytics adoption journey from collaboration to enhancing business processes and strategies.

These and many other fascinating insights are from The State of Cloud Analytics, 2016. You can download the report here (41 pp., PDF, no opt-in). Informatica and Deloitte sponsored the study with industry analyst and consulting firm Enterprise Management Associates (EMA). Based on interviews with 402 respondents, 25.6% of which are senior managers, followed by C-level executives (23.6%), and senior directors/directions (20.9%) in late 2016 the study provides insights into current and future adoption plans of cloud analytics...

Cloud-to-client, direct: serverless computing reduces the middle

Grazed from ZDNet. Author: Joe McKendrick.

One of the buzzwords to emerge over the past year is that of "serverless" computing or architecture, which, as the term suggests, involves the provisioning of key information technology resources to users without the fuss and muss of acquiring and activating additional hardware, which not only means servers, but disk space as well. Let the cloud vendors worry about the messy details of protocols, security, resource provisioning, processor speeds, and memory allocation, and focus on the applications business users need to run their organizations.

Serverless is, for all intents and purposes, another name for Platform as a Service. There are vendor tools and environments suited for such a purpose, including Amazon Web Services Lambda, IBM BlueMix OpenWhisk, and Microsoft Azure Functions, Buzzwording aside, full-throttle adoption of serverless platforms may even stir rethinking of optimal hybrid cloud architectures, and what it means for IT teams to serve as brokers of needed business services...

Read more from the source @ http://www.zdnet.com/article/cloud-to-client-computing-serverless-computing-reduces-the-middle/

This Chicago Startup is Bringing Supercomputing to the Cloud

Grazed from ChicagoInno. Author: Ustav Gandhi.

Supercomputing has changed the way we process big data in a wide range of industries. Unsurprisingly, these capabilities to perform multiple complex tasks in the least possible amount of time have traditionally come at a price -- in fact, even the first one hundred supercomputers were sold at a price of $8 million each (hefty, especially by the standards of early 1960s standards when they first launched). While this price point has mostly restricted supercomputing to academia, federal research labs and large industry, Parallel Works, a startup incubated at the University of Chicago’s Polsky Exchange, is out to democratize this -- by bringing the underlying technology to the cloud.

Parallel Works’ platform takes supercomputing to the software-as-a-service, pay-per-use model, thus removing talent and resource maintenance costs typically associated with big machines. The software is domain agnostic--employed in applications as diverse as climate change research to neuroscience to mass media analysis--and the technology's custom interface can be packaged, stored, and deployed as per the needs of the client or industry...

Is dynamic resource execution the answer to auto-scaling cloud apps?

Grazed from NetworkWorld. Author: Chen Wu.

Dynamic resource management for cloud computing is at a critical crossroad. The ultimate objective when provisioning software-defined infrastructure, synchronizing inter-cloud resources, or allocating network bandwidth is allowing applications to successfully execute on demand without concern for capacity. While these approaches are effective in supplying applications with additional capacity on demand, the downside is that application performance may not be optimized in the process.

Cloud applications and services have become so complex that the runtime synchronization of resources required to support them drags down overall performance and leaves capacity unused. To tap this unused capacity, and deliver the performance expected, we need to enhance resource management with something like intelligent resource execution. Let me explain...

That was the year that was: 2016 in cloud - and what’s on the horizon for 2017

Grazed from CloudTech. Author: Editorial Staff.

2016 was an interesting year in cloud computing. For the European market, data protection regulation came into force, while many of the major cloud providers began to move their operations into and build data centres in Europe, from AWS, to Microsoft, to IBM. Regarding acquisitions, Oracle bought NetSuite, Microsoft bought LinkedIn and Samsung acquired Joyent, while in terms of trends, DevOps, containers and security continued to be the primary talking points. Here is our short review of the main stories from the more than 400 that went live on CloudTech last year:

2016 in review

AWS celebrates its 10th birthday. On March 14 2006, a press release went out on the wire from Amazon announcing “a simple storage service that offers software developers a highly scalable, reliable, and low-latency data storage infrastructure at very low costs.” Thus AWS was born, and a decade on the company enjoys significant market share leadership in the IaaS space...

Read more from the source @ http://www.cloudcomputing-news.net/news/2017/jan/05/was-year-was-2016-cloud-and-whats-horizon-2017/

Cloud Computing: HIPAA Data Security - Doesn’t Have to Mean High Cost For Small Medical Practices

Grazed from TechFeatured. Author: Editorial Staff.

The American healthcare system is moving forward. Thanks to the HITECH Act of 2009, physicians and hospitals are encouraged with $19 billion dollars in spending to convert their old paper charts to new Electronic Health Records (EHR). Medical records and physician charts are essential for the smooth operation and delivery of optimal and continuous healthcare. These records must be available to the doctor or nurse at all times and should be easy to access when needed.

The thought of spending time and money to overhaul a fully-immersed and often entirely adequate paper system can be overwhelming to small medical practices. Smaller practices do not usually have the technological resources to keep up with new standards of protected health information (PHI) storage and delivery...

Cloud Computing: Microsoft's new service turns FAQs into bots

Grazed from InfoWorld. Author: Blair Hanley Frank.

Finding customer service help online can be a pain. Filtering through a knowledge base to find the right answer to your question can be an exercise in fighting with nested frequently asked questions documents. Microsoft is aiming to help by making it easier for companies to create intelligent bots that can answer common questions.

The QnA Maker, launched in beta on Tuesday, will let users train an automated conversation partner on existing frequently-asked-questions content. After that information is fed in, the service will create a bot that will respond to customer questions with the content from the knowledge base...