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  1. Proceedings of the 1st International Workshop on Crowd-based Software Development Methods and Technologies (CrowdSoft 2014)
  2. Estimating the dynamic performance of composed services: a probability theory based approach
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Estimating the dynamic performance of composed services: a probability theory based approach

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Estimating the dynamic performance of composed services: a probability theory based approach

Content Provider ACM Digital Library
Author Hu, Xiaohui Yang, Mingkun Peng, Qimin
Abstract QoS-aware service composition has been widely addressed. When the optimal execution plan is determined, previous work generally assumes that the QoS attributes of component services are static for simplicity. Due to the ignorance of the dynamic nature of web services, the performance of a composed service is only partially evaluated. On account of the deviation of QoS attributes, execution plans have to be adapted at runtime in an unmanageable manner. Since it is unclear how the QoS attributes will vary, the effort of runtime adaption can hardly be assessed in advance. To solve the aforementioned problems, we provide a probability theory based approach to estimated the dynamic performance of composed services. The main idea is to cover the dynamic nature of web services with random variables. Following predefined aggregating rules, some crucial dynamic aspects of a composed service can be efficiently revealed from those of its component services even before the composed service actually executes, which makes it possible to determine the optimal execution plan in terms of some dynamic performance metrics. We also demonstrate some potential applications based on this better understanding of performance issues provided by our method. .
Starting Page 61
Ending Page 66
Page Count 6
File Format PDF
ISBN 9781450332248
DOI 10.1145/2666539.2666576
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2014-11-17
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Probability theory Quality of service Service composition
Content Type Text
Resource Type Article
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