DOI: 10.5176/978-981-08-5837-7_135

Authors: Mohammad Firoj Mithani,Michael A. Salsburg, Ph.D.,Shrisha Rao, Ph.D.

Abstract:

The current economic environment is compelling CxOs to look for better IT resource utilization in order to get more value from their IT investments and reuse existing infrastructure to support growing business demands. How to get more from less? How to reuse the resources? How to minimize the Total Cost of Ownership (TCO) of underlying IT infrastructure and data center operation cost? How to improve Return On Investment (ROI) to remain profitable and transform the IT cost center into a profit center? All of these questions are now being considered in light of is a model for enabling resource allocation to dynamic business workloads in a real time manner from a pool of free resources in a cost effective manner. Providing resource on demand at cost effective pricing is not the only criteria when determining if a business service workload can be moved to a public cloud. So what else must CxOs consider before they migrate to public cloud environments? There is a need to validate the business applications and workloads in terms of technical portability and business requirements/compliance so that they can be deployed into a public cloud without considerable customization. This validation is not a simple task.
In this paper, we will discuss an approach and the analytic tooling which will help CxOs and their teams to automate the process of identifying business workloads that should move to a public cloud environment, as well as understanding its cost benefits. Using this approach, an organization can identify the most suitable business service workloads which could be moved to a public cloud environment from a private data center without re-architecting the applications or changing their business logic. This approach helps automate the classification and categorization of workloads into various categories. For example, Business Critical (BC) and Nonbusiness Critical (NBC) workloads can be identified based on the role of business services within the overall business function. The approach helps in the assessment of public cloud providers on the basis of features and constraints. This approach provides consideration for industry compliance and the price model for hosting workloads on a pay-per-use basis. Finally, the inbuilt the business service workload

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