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  1. Proceedings of the 2007 workshop on Automating service quality (WRASQ '07)
  2. Disruption-aware service composition and recovery in dynamic networking environments
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High confidence software for cyber-physical systems
Automating service quality with TOMCAD (Tradeoff Model with Capacity and Demand)
Mulini: an automated staging framework for QoS of distributed multi-tier applications
A parameterized model transformations approach for automating middleware QoS configurations in distributed real-time and embedded systems
Reducing runtime complexity of long-running application services via dynamic profiling and dynamic bytecode adaptation for improved quality of service
Disruption-aware service composition and recovery in dynamic networking environments
New perspectives in autonomic design patterns for stream-classification-systems
Automated management and service provisioning model for distributed devices
Towards TQM in IT services

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Conference Proceedings

Disruption-aware service composition and recovery in dynamic networking environments

Content Provider ACM Digital Library
Author Jiang, Shanshan Xue, Yuan Schmidt, Douglas
Abstract The dynamic and heterogeneous natures of large-scale systems pose fundamental challenges to the design of service composition methods with minimum service disruptions. Improving reliability has long been a topic of extensive research in large-scale systems. Little existing work, however, has considered service deliveries spanning multiple components and taken both failure duration and frequency into account. This paper proposes a new service composition and recovery framework designed to achieve minimum service disruptions. The framework consists of two-tiers: service routing, which selects the service components, and network routing, which finds the network path that connects these service components. Our framework is based on a novel concept: disruption index, which characterizes different aspects of service disruptions, including frequency and duration. We formulate the problem of minimum-disruption service composition and recovery (MDSCR) as a dynamic programming problem and give its optimal solution under the assumption of complete knowledge of future failure distribution. We then present our MDSCR heuristic, which approximates the optimal solution with one-step lookahead prediction, where service link lifetime is predicted through statistical regression. We present the preliminary performance results of our algorithm via simulation study.
Starting Page 28
Ending Page 33
Page Count 6
File Format PDF
ISBN 9781595938787
DOI 10.1145/1314483.1314489
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2007-11-06
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Service disruption Service composition
Content Type Text
Resource Type Article
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