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Managing End-to-End Lifecycle of Global Service Policies

  • Daniela Rosu
  • Asit Dan
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3826)

Abstract

Enterprise business services are often deployed over complex environments, managed by multiple service-management products. For instance, a business service may be configured as a three-tier environment with multiple services that run on different resource domains and span one or more tiers, and comprising service-management products such as workload managers, business resiliency managers, and resource arbiters. The objective policies of the enterprise business service, henceforth called Global Service Policies, determine the runtime policies used by the various management products. The lifecycle management of global service policies, including the deployment and enforcement stages, inherits the complexity of the enterprise IT environment. This paper proposes a novel framework for efficiently managing the deployment and enforcement lifecycle stages. The framework enables the complete automation of dissemination and translation of global policy for all service managers, for a low-cost, correct policy deployment. Also, the framework enables the runtime customization of resource arbitration components for using the actual business value models of the enterprise objectives global, for a high quality of policy enforcement. The proposed framework is prototyped and integrated with several IBM service-management products.

Keywords

Business Service Global Policy Allocation State Service Objective Service Deployment 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

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    Rosu, D., Dan, A.: Managing End-to-End Lifecycle of Global Service Policies, IBM Research Report RC23661 (July 2005)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Daniela Rosu
    • 1
  • Asit Dan
    • 1
  1. 1.IBM T.J. Watson Research CenterHawthorneUSA

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