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Management as a Service for IT Service Management

  • Bo Yang
  • Hao Wang
  • Ying Chen
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5364)

Abstract

With the advent of the distributed computing model, IT service management has to face ranging from simple point products to entire enterprise frameworks to address the various multi-device systems management challenges. The existing technology offerings rarely solve the entire problem because they are expensive to purchase, difficult to implement, and do not incorporate the full range of features and functions to meet the systems management requirements today’s organizations face. Now, with low-cost information appliances creeping their way into the data center, the only way to truly address today’s heterogeneous IT challenge is to enable systems management capabilities at the service level. IT professionals should be able to simply take management service and accumulated knowledge to improve management performance. A new approach to IT service management is emerging that enables this level of integration. Management as a service (MaaS) enable IT service management to build network management appliances, services and knowledge repository that are extremely flexible and capable of evolving as customer needs evolve. MaaS implementations unify different systems management features and products into a common management environment that spans all system management types. MaaS-based management service offer greater flexibility and more cost-effective implementation than any enterprise framework can achieve. MaaS helps to make full use of the benefits offered by enterprise’s converged network by identifying and resolving problems more quickly, more accurately, less expensively, and with more visibility than silos might be able to achieve on enterprise own.

Keywords

Service Management Impact Analysis Service Component Subject Matter Expert Business Application 
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.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Bo Yang
    • 1
  • Hao Wang
    • 1
  • Ying Chen
    • 1
  1. 1.IBM China Research Lab.BeijingChina

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