Classification and Composition of QoS Attributes in Distributed, Heterogeneous Systems

Classification and Composition of QoS Attributes in Distributed, Heterogeneous Systems

Abstract

In large-scale distributed systems the selection of services and data sources to respond to a given request is a crucial task. Non-functional or Quality of Service (QoS) attributes need to be considered when there are several candidate services with identical functionality. Before applying any service selection optimization strategy, the system has to be analyzed in terms of QoS metrics, comparable to the statistics needed by a database query optimizer. This paper presents a classification approach for QoS attributes of system components, from which aggregation functions for composite services are derived. The applicability and usefulness of the approach is shown in a distributed system from a High-Energy Physics experiment posing a complex service selection challenge.

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Authors
  • Vinek, Elisabeth
  • Beran, Peter Paul
  • Schikuta, Erich
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Shortfacts
Category
Paper in Conference Proceedings or in Workshop Proceedings (Paper)
Event Title
11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
Divisions
Workflow Systems and Technology
Event Location
Newport Beach, CA
Event Type
Conference
Event Dates
23-26 May 2011
Publisher
IEEE/ACM
Page Range
pp. 424-433
Date
2011
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