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From PC Break/Fix to CloudMASTER®
https://www.linkedin.com/in/stevendonovan It was late 2011 and Steven Donovan was comfortable working at SHI International Corporation, a growing information technology firm, as a personal computer break/fix technician. His company had been…
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Networking the Cloud for IoT – Pt 3 Cloud Network Systems Engineering
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Networking the Cloud for IoT – Pt. 1: IoT and the Government
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Parallel Processing and Unstructured Data Transforms Storage
(This post originally appeared on Direct2Dell, The Official Dell Corporate Blog) Enterprise storage is trending away from traditional, enterprise managed network-attached storage (NAS) and storage area networks (SAN) towards a…
This month’s issue of Military Information Technology magazine has the Army’s Chief Information Officer, Lieutenant General Jeffrey A. Sorenson, on the cover. The enclosed special report, titled LANDWARNET Transformation, has a major article on net-centric operations by Bill Gerety, Dataline CEO and Major General US Army Reserve (and co-authored by yours truly). “Net-centricity: Adjusting the Focus” (MS Word version) discusses requirements for a successfully force transition to net-centricity and how cloud computing concepts can be used to support the effort. In view of DISA’s foray into cloud computing, it makes interesting reading.
To quote from the article:
“In meeting these significant challenges, DISA has actively leveraged the fact that these requirements have parallels in the general information technology industry. This fact has led to the rapid adoption and implementation of many commercial solutions. Service oriented architecture (SOA), hardware virtualization, and grid computing are just a few of these. The latest of these adoptions seems to be Cloud Computing.
First coined by Sun Microsystems’s John Gage over twenty years ago Cloud Computing is now taken hold as the “next step in the Internet’s evolution. [1] This concept, however, is more than just the provisioning of computing resources (i.e. hardware, software, storage, services, etc.). The basic provisioning of infrastructure is the typical description of grid computing. Cloud computing is more in that it relates to the underlying architecture in which the application services are designed. The application not only runs in the cloud, but the cloud allows for the development, deployment, capacity growth, performance and reliability of the application as well.
When fully employed, cloud computing infrastructures, the middleware and the application platforms, should have the following characteristics:
- Self-healing: In case of failure, there will be a hot backup instance of the application ready to take over without disruption (known as failover). It also means that if a failure causes the backup to become primary, the system will automatically launch a new backup to maintain required reliability policies.
- SLA-driven: The system is dynamically managed by service-level agreements so that if the system is experiencing peaks in load, it will create additional instances of the application on more servers in order to comply with the committed service levels — even at the expense of a low-priority application.
- Multi-tenancy: The system is built to allow the sharing of infrastructure, without the customers being aware of it and without compromising the privacy and security of each customer’s data.
- Service-oriented: The system allows for the composing of applications out of discrete services that are loosely coupled and independent of each other (mash-ups). It also provides for reuse of services and prevents the changes or failure of one service to disrupt others.
- Virtualized: Applications are decoupled from the underlying hardware. Multiple applications can run on one computer (i.e. VMware) or multiple computers can be used to run one application (grid computing).
- Linearly Scalable: The system will be predictable and efficient in growing the application.
- Data Management: The distribution, partitioning, security and synchronization of the system’s underlying data is actively managed”
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Kevin:
I was involved in a project proving the concept of cloud computing solutions for Battle field logistics applications. This removed the Hardened trucks with databases on the battlefield and moved them back to the homeland where they could not be captured or destroyed…. It was 7 years ago… I am sure they have made much progress beyond that now.
It would be good to learn from those earlier cloud computing efforts. I’m not personally familiar with the battlefield logistics work, but since the community is now taking a second look at these concepts, I’m sure it would welcome any available information. I would be happy to follow-up on this with you. It could, in fact, help the NCOIC in it’s current cloud computing education efforts.