QoS-aware service selection based on swarm particle optimization
The growing number of web service over the internet urges us to conceive an efficient selection approach, especially for composite requests. In general, we can find a set of services that provide the same functionality (inputs/outputs), but differ in QOS criteria, in this situation we must select th...
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creator | Fethallah, H. Chikh, M. A. Mohammed, M. Zineb, K. |
description | The growing number of web service over the internet urges us to conceive an efficient selection approach, especially for composite requests. In general, we can find a set of services that provide the same functionality (inputs/outputs), but differ in QOS criteria, in this situation we must select the best ones, by applying some optimization algorithm. In this paper, we propose a reactive multi-agent solution, based on swarm particle optimization. The proposed system adopts a set of particle's groups, which explore the space search in order to maximize a single objective function. The obtained results show a high rate of optimality and merit to be continued. |
doi_str_mv | 10.1109/ICITeS.2012.6216594 |
format | Conference Proceeding |
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The obtained results show a high rate of optimality and merit to be continued.</description><subject>Abstracts</subject><subject>Algorithm design and analysis</subject><subject>combinatory optimization</subject><subject>Concrete</subject><subject>Heuristic algorithms</subject><subject>Optimization</subject><subject>Quality of service</subject><subject>qualiy of service</subject><subject>service oriented architecture</subject><subject>swarm particle optimization</subject><subject>Web services</subject><isbn>9781467311670</isbn><isbn>1467311677</isbn><isbn>9781467311656</isbn><isbn>9781467311663</isbn><isbn>1467311669</isbn><isbn>1467311650</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2012</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpVT8tKxDAUjciAMvYLZtMfaM3N46bZKcVHYUBkuh_S9BYytLY0RdGvt4Oz8WzOg8OBw9gOeA7A7X1VVjUdcsFB5CgAtVVXLLGmAIVGwhrg9T9v-A1LYjzxFYZLLe0te3gfD5n7cjOlkebP4M_ck1_C-JE2LlKbriKuhSGd3LwE31M6TksYwo87l-7YpnN9pOTCW1Y_P9Xla7Z_e6nKx30WLF8y3xRgqfANounQe0UaFHRKKw6qQIG25Y1TkhxarYCU4ULqpoOu1cail1u2-5sNRHSc5jC4-ft4uS1_AQBVS1w</recordid><startdate>201203</startdate><enddate>201203</enddate><creator>Fethallah, H.</creator><creator>Chikh, M. 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A.</creatorcontrib><creatorcontrib>Mohammed, M.</creatorcontrib><creatorcontrib>Zineb, K.</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Fethallah, H.</au><au>Chikh, M. A.</au><au>Mohammed, M.</au><au>Zineb, K.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>QoS-aware service selection based on swarm particle optimization</atitle><btitle>2012 International Conference on Information Technology and e-Services</btitle><stitle>ICITeS</stitle><date>2012-03</date><risdate>2012</risdate><spage>1</spage><epage>6</epage><pages>1-6</pages><isbn>9781467311670</isbn><isbn>1467311677</isbn><eisbn>9781467311656</eisbn><eisbn>9781467311663</eisbn><eisbn>1467311669</eisbn><eisbn>1467311650</eisbn><abstract>The growing number of web service over the internet urges us to conceive an efficient selection approach, especially for composite requests. In general, we can find a set of services that provide the same functionality (inputs/outputs), but differ in QOS criteria, in this situation we must select the best ones, by applying some optimization algorithm. 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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Abstracts Algorithm design and analysis combinatory optimization Concrete Heuristic algorithms Optimization Quality of service qualiy of service service oriented architecture swarm particle optimization Web services |
title | QoS-aware service selection based on swarm particle optimization |
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