{"title":"基于均衡的企业服务选择","authors":"Xiao Xue, Shufang Wang","doi":"10.1109/ComComAp.2014.7017167","DOIUrl":null,"url":null,"abstract":"The non-equalization phenomenon is common in the enterprise service matching, which not only results in the waste of service resources, but also reduces the satisfaction of customer needs. As a result, how to achieve the service equalization in enterprise service selection becomes a serious challenge in the field. To solve this problem, this paper first designs the equalization-based classification of Quality of Service (QoS) attributes to reflect the current state of enterprise services. Then, a complete equalization-based service selection method is proposed, which can eliminate the non-equation phenomenon in service selection. Finally, simulation results validate the effectiveness of the method, which can improve the service utilization rate effectively without reducing the QoS a lot.","PeriodicalId":159334,"journal":{"name":"Computers, Communications and IT Applications Conference","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Equalization-based enterprise service selection\",\"authors\":\"Xiao Xue, Shufang Wang\",\"doi\":\"10.1109/ComComAp.2014.7017167\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The non-equalization phenomenon is common in the enterprise service matching, which not only results in the waste of service resources, but also reduces the satisfaction of customer needs. As a result, how to achieve the service equalization in enterprise service selection becomes a serious challenge in the field. To solve this problem, this paper first designs the equalization-based classification of Quality of Service (QoS) attributes to reflect the current state of enterprise services. Then, a complete equalization-based service selection method is proposed, which can eliminate the non-equation phenomenon in service selection. Finally, simulation results validate the effectiveness of the method, which can improve the service utilization rate effectively without reducing the QoS a lot.\",\"PeriodicalId\":159334,\"journal\":{\"name\":\"Computers, Communications and IT Applications Conference\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computers, Communications and IT Applications Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ComComAp.2014.7017167\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computers, Communications and IT Applications Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ComComAp.2014.7017167","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The non-equalization phenomenon is common in the enterprise service matching, which not only results in the waste of service resources, but also reduces the satisfaction of customer needs. As a result, how to achieve the service equalization in enterprise service selection becomes a serious challenge in the field. To solve this problem, this paper first designs the equalization-based classification of Quality of Service (QoS) attributes to reflect the current state of enterprise services. Then, a complete equalization-based service selection method is proposed, which can eliminate the non-equation phenomenon in service selection. Finally, simulation results validate the effectiveness of the method, which can improve the service utilization rate effectively without reducing the QoS a lot.