The high sophistication of IT services, more and more often operated over distributed hybrid Cloud environments, makes it extremely difficult to evaluate the impact of changes at the business level over service architecture before deploying them. The performance assessment of possible alternative deployments calls for decision support tools to enable what-if scenario analysis, which requires also to adopt realistic Cloud network models, currently not available. To fill that gap, this paper illustrates the potential of our Business-Driven Management as a Service Plus (BDMaaS+) support that eases management operations in the above context, and presents a thorough experimental evaluation of our solution. Collected results demonstrate how a service provider can leverage BDMaaS+ to explore the potential of high-level business Service Level Agreement (SLA) changes and data center additions to optimize the performance of an enterprise class IT service deployed, in a realistic hybrid Cloud environment, before (re-)enacting them.

What-if Scenario Analysis for IT Services in Hybrid Cloud Environments with BDMaaS+

Mauro Tortonesi
2019

Abstract

The high sophistication of IT services, more and more often operated over distributed hybrid Cloud environments, makes it extremely difficult to evaluate the impact of changes at the business level over service architecture before deploying them. The performance assessment of possible alternative deployments calls for decision support tools to enable what-if scenario analysis, which requires also to adopt realistic Cloud network models, currently not available. To fill that gap, this paper illustrates the potential of our Business-Driven Management as a Service Plus (BDMaaS+) support that eases management operations in the above context, and presents a thorough experimental evaluation of our solution. Collected results demonstrate how a service provider can leverage BDMaaS+ to explore the potential of high-level business Service Level Agreement (SLA) changes and data center additions to optimize the performance of an enterprise class IT service deployed, in a realistic hybrid Cloud environment, before (re-)enacting them.
2019
978-1-7281-0618-2
Cloud Computing, Optimization, Simulation.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11392/2400627
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