{"title":"组件Web服务经济的双目标竞争定价模型","authors":"Yu Wang, Xiaolin Li, Hua-ping Chen","doi":"10.4018/IJWSR.2021040105","DOIUrl":null,"url":null,"abstract":"In the web service marketplace, component-based economy has been proposed for describing participants' behavioral patterns. Composite service networks combine multiple composite services required by various service consumers. With each composite service as a product, web services comprise heterogeneous products. In this study, the pricing behavior of networked individual service providers is investigated. With the objective of service survival or high profitability, service providers compete both on the single-service and service-network levels. Using examples, several mild assumptions are formulated and analyzed. Then, a bi-objective optimization model is proposed based on these assumptions, which attempts to maintain a reasonable effectiveness-fairness trade-off from the individual service providers' perspective. The NP-completeness of the single-objective version is demonstrated by transforming the problem into a subset sum problem, which highlights the challenge of obtaining a pareto set for the bi-objective model. Finally, to validate the proposed model, numerical experimentation and case study are conducted, and both the bi-objective and many-objective versions of the problem are discussed.","PeriodicalId":54936,"journal":{"name":"International Journal of Web Services Research","volume":"1 1","pages":"76-100"},"PeriodicalIF":0.8000,"publicationDate":"2021-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Bi-Objective Competition Pricing Model for Component Web Service Economy\",\"authors\":\"Yu Wang, Xiaolin Li, Hua-ping Chen\",\"doi\":\"10.4018/IJWSR.2021040105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the web service marketplace, component-based economy has been proposed for describing participants' behavioral patterns. Composite service networks combine multiple composite services required by various service consumers. With each composite service as a product, web services comprise heterogeneous products. In this study, the pricing behavior of networked individual service providers is investigated. With the objective of service survival or high profitability, service providers compete both on the single-service and service-network levels. Using examples, several mild assumptions are formulated and analyzed. Then, a bi-objective optimization model is proposed based on these assumptions, which attempts to maintain a reasonable effectiveness-fairness trade-off from the individual service providers' perspective. The NP-completeness of the single-objective version is demonstrated by transforming the problem into a subset sum problem, which highlights the challenge of obtaining a pareto set for the bi-objective model. Finally, to validate the proposed model, numerical experimentation and case study are conducted, and both the bi-objective and many-objective versions of the problem are discussed.\",\"PeriodicalId\":54936,\"journal\":{\"name\":\"International Journal of Web Services Research\",\"volume\":\"1 1\",\"pages\":\"76-100\"},\"PeriodicalIF\":0.8000,\"publicationDate\":\"2021-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Web Services Research\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://doi.org/10.4018/IJWSR.2021040105\",\"RegionNum\":4,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"COMPUTER SCIENCE, INFORMATION SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Web Services Research","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.4018/IJWSR.2021040105","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
Bi-Objective Competition Pricing Model for Component Web Service Economy
In the web service marketplace, component-based economy has been proposed for describing participants' behavioral patterns. Composite service networks combine multiple composite services required by various service consumers. With each composite service as a product, web services comprise heterogeneous products. In this study, the pricing behavior of networked individual service providers is investigated. With the objective of service survival or high profitability, service providers compete both on the single-service and service-network levels. Using examples, several mild assumptions are formulated and analyzed. Then, a bi-objective optimization model is proposed based on these assumptions, which attempts to maintain a reasonable effectiveness-fairness trade-off from the individual service providers' perspective. The NP-completeness of the single-objective version is demonstrated by transforming the problem into a subset sum problem, which highlights the challenge of obtaining a pareto set for the bi-objective model. Finally, to validate the proposed model, numerical experimentation and case study are conducted, and both the bi-objective and many-objective versions of the problem are discussed.
期刊介绍:
The International Journal of Web Services Research (IJWSR) is the first refereed, international publication featuring the latest research findings and industry solutions involving all aspects of Web services technology. This journal covers advancements, standards, and practices of Web services, as well as identifies emerging research topics and defines the future of Web services on grid computing, multimedia, and communication. IJWSR provides an open, formal publication for high quality articles developed by theoreticians, educators, developers, researchers, and practitioners for those desiring to stay abreast of challenges in Web services technology.