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Cloud Is All About Workload By @ABridgwater | @CloudExpo [#Cloud]

At the risk of introducing a new term, it may be useful to talk about the workload cloud

Forget Location, Location, Location: Cloud Is All About Workload, Workload, Workload

What do we know so far about cloud computing? Well, first the hype-cycle slowed down and we started realizing that hybrid cloud (as a combination of public and private resources) was a relatively sensible idea, i.e., from both an expenditure (public) and security (private) perspective. Now we know which data and processing tasks to put where - and when, right?

Not exactly, it's still not all quite crystal clear in cloud is it?

The nomenclature, taxonomy and classification of the cloud are all part of the problem. At the risk of introducing a new term, it may be useful to talk about the workload cloud.

Workload, workload, workload
Forget location, location, location: cloud is all about workload, workload, workload say René Aerdts, chief technologist, workload and cloud, HP Enterprise Services and Jeff Moyer, senior director of cloud services at HP Enterprise Services.

While firms spend hours, days and more struggling to pin down a cloud strategy thinking about public, private, hybrid - if they were to (from very first principles) consider workload factors as the defining consideration for any cloud purchases, then we might all be a rather more productive and efficient place in terms of our approach to cloud.

Aerdts and Moyer say that we need to analyze workloads, along with other issues to consider the right way to make the right cloud decisions.

"Cloud is not a dead-end but a transformation to the next-generation of computing. The next evolution of cloud will provide the ability to seamlessly shift workloads from one cloud to another as you grow your business," say the pair.

Workload placement and workload analysis
Aerdts also explains that if we know which workload should go on which cloud, then we will be efficient - so the term "workload placement" becomes a crucial part of our cloud computing strategy. Data sovereignty and security will be an important part of this decision, i.e., it's not ALL down to a cost decision. Workload analysis will therefore come before workload placement, or at least it should do if we are laying down best practices advice here.

To complete the picture here we need to know what a workload actually is and what the term actually means in the first place. Obviously at a simplistic level we can say that the term workload simply describes an amount of work a defined computing block has been given at any moment in time. A workload is a computing task that exists with a discrete, isolated and detached set of application logic.

From here we can start to talk about management technologies and use acronyms such as IWM - Intelligent Workload Management. At this point, computing infrastructures start to become more dynamic and software application development can be architected to benefit from the separation of dependencies that we have achieved.

The need for Line of Business workload-specific cloud intelligence is very real.

This post is sponsored by The Business Value Exchange and HP Enterprise Services

More Stories By Adrian Bridgwater

Adrian Bridgwater is a freelance journalist and corporate content creation specialist focusing on cross platform software application development as well as all related aspects software engineering, project management and technology as a whole.

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