The Bundling of Multiple Requirements for Maximizing the Utilization of Service Resources
We present a service resource selection and scheduling approach capable of maximizing the resource utilization rate (RUT) and the requirement satisfaction degree (RSD) by bundling multiple customer requirements (CRs). In traditional approaches, each CR is optimally satisfied by independently selecting a set of candidate service resources. This possibly leads to a low RUT and low RSD. In our approach, multiple CRs raised within a certain time period are bundled and a virtual service resource (VSR) is constructed to satisfy these requirements simultaneously by making full use of the sharing nature of resources. Specifically, each CR is first decomposed into a set of atomic requirements, which are then re-aggregated according to their requested resources. For four types of service-resource sharing patterns, we present the corresponding greedy algorithms that construct the VSR and its scheduling. The goals of our methods are (1) maximizing the satisfaction degree of CRs and (2) maximizing the RUT of service resources. The effectiveness of our approach is demonstrated in an experiment for a typical scenario of ocean transportation service.
e-business requirement bundling virtual service resource resource utilization rate resource sharing
Zhongjie Wang Xiaofei Xu Dianhui Chu Xianzhi Wang
Research Center of Intelligent Computing for Enterprises and Services (ICES) School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China
国际会议
2010 IEEE International Conference on e-Business Engineering(2010年电子商务工程国际研讨会 ICEBE 2010)
上海
英文
206-213
2010-11-10（万方平台首次上网日期，不代表论文的发表时间）