NDLI: An Efficient Approach for QoS-Aware Service Selection Based on a Tree-Based Algorithm

Content Provider	IEEE Xplore Digital Library
Author	Minhyuk Oh Jongmoon Baik Sungwon Kang Ho-jin Choi
Copyright Year	2008
Description	Author affiliation: Sch. of Eng., Inf. & Commun. Univ., Daejeon (Minhyuk Oh; Jongmoon Baik; Sungwon Kang; Ho-jin Choi)
Abstract	Service oriented architecture (SOA) has become a new software development paradigm because it provides a flexible framework that can help reduce development cost and time. SOA also promises loosely coupled, interoperable, and composable services. In order to maximize these benefits, many researchers have focused on service composition techniques, especially in terms of providing quality of services (QoS) to consumers in a dynamic environment. In current literature, many approaches, such as the genetic algorithm, integer programming, and the Pinsinger algorithm approaches, have been proposed for service compositions to provide quality of services to consumers. However, these approaches are inefficient when any problem occurs during service executions since the problem causes the current execution stop, and service rebinding is required for the unexecuted path. In addition, even if a better service is discovered, it cannot be easily replaced in these approaches because replacing a single service causes a problem on global QoS constraints. In this paper, we focus on these problems by proposing a tree-based algorithm in order to provide optimal services to consumers consistently and efficiently even when the status of selected services have changed. As a result, consumers can always use the optimal services of high qualities.
Starting Page	605
Ending Page	610
File Size	449044
Page Count	6
File Format	PDF
ISBN	9780769531311
DOI	10.1109/ICIS.2008.8
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-05-14
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Quality of service Service oriented architecture Binary search trees Information science Software algorithms Costs Genetic algorithms Linear programming Software agents Investments Quality of Service (QoS) Service Oriented Architecture (SOA) Service Selection Service Composition Binary Search Tree (BST)
Content Type	Text
Resource Type	Article

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