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Operations Mgmt and Operations Systems Capacity Planning and Performance Modeling Does a company need computer capacity evaluation when its computing power has been transferred to cloud-based systems? Lupe Vidaure Trident University Operations Mgmt and Operations Systems Abstract Cloud computing is based on the idea of a shared computing, storage, network, and application resources all provided by a third party. This paper will explain why a company does not need computer capacity evaluation when its computing power has been transferred to cloud-based systems. This paper will also explain how capacity planning is affected by the introduction of cloud computing. When it comes to capacity planning and the idea of transferring to cloud computing, many IT groups find themselves lost and trying to figure what to do. You can look at what you currently Operations Mgmt and Operations Systems have and try to guess where youll be in a couple of months or years. The fact is you just dont have all of the necessary data. You cant predict what the company will decide to do next, and how that will impact your resources. Wikipedia defines Capacity planning as the process of determining the production capacity needed by an organization to meet changing demands for its products. In the context of capacity planning, "design capacity" is the maximum amount of work that an organization is capable of completing in a given period, "effective capacity" is the maximum amount of work that an organization is capable of completing in a given period. Capacity planning is typically straight forward. With capacity planning we are mostly concerned with the CPU, memory, network, and disk resources, and application response times. We need to know how much of a resource we are using and how much more we will use in the future. Do we have the space needed to run higher loads of information? We will need to understand how space varies and how it relates to application response times and through put. So now not only are you planning for typical usage, you must also try to plan for sudden increases in demand across many customers. You hope to get a high portion of bandwidth and a fairly fixed portion of resources, a single server or slice of a server with a set amount of storage and ram. ... View Full Document

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