Quality of Service Monitoring, Diagnosis, and Adaptation for Service Level Management

Author:

Wang Guijun1,Wang Changzhou1,Wang Haiqin1,Santiago Rodolfo A.1,Jin Jingwen1,Shaw David1

Affiliation:

1. Boeing Research & Technology, USA

Abstract

A key requirement in Service Level Management (SLM) is managing the Quality of Services (QoS) demanded by clients and offered by providers. This managing process is complicated by the globalization and Internet scale of enterprise services and their compositions. This chapter presents two contributions to the QoS management task for SLM. First, instead of considering monitoring as an isolated service, it incorporates a monitoring service as an integral part of a comprehensive QoS management framework for SLM. Second, it includes a diagnosis service as an integral part of the QoS management framework. Using the data fed from monitoring service, diagnosis service detects system condition changes and reasons about the causes of detected degradation in networked enterprise system. With condition detection and situation understanding, the QoS management framework can then proactively activate adaptation mechanisms to maximize the system’s ability to meet QoS contract requirements of concurrent clients. Using this framework, enterprise systems can provide real time automated QoS management to optimize system resources in meeting contract requirements. This approach is validated using QoS management services integrated in a publish/subscribe style of SOA. Benefits of QoS monitoring, diagnosis, and adaptation services for responsiveness SLM are demonstrated via experiments.

Publisher

IGI Global

Reference27 articles.

1. W3C. (2003). Web Services reliability (WS-reliability version 1.0). Retrieved from http://sunonedev.sun.com/platform/technologies/ws-reliability.v1.0.pdf

2. Aagedal, J., & Milosevic, Z. (1998). Enterprise modeling and QoS for command and control systems. The Second International Enterprise Distributed Object Computing Workshop, IEEE, November 3-5, 1998, (pp. 88-101).

3. Andrieux, A., Czajkowski, K., Dan, A., Keahey, K., Ludwig, H., Nakata, T., et al. (2007). Web Services agreement specification (WS-agreement). Open Grid Forum. March 14, 2007.

4. Combs, V. T., Hillman, R. G., Muccio, M. T., & McKeel, R. W. (2005). Joint Battlespace Infosphere: Information management within a C2 enterprise. Proceedings of the 10th International Command and Control Research and Technology Symposium.

5. Darwiche, A. (1995). Model-based diagnosis using causal networks. In Proceedings of International Joint Conference on Artificial Intelligence (IJCAI-95), (pp. 211-219).

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