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  • 标题:Supporting QoS-Based Discovery for Visualization Web Services
  • 本地全文:下载
  • 作者:Gao Shua ; Xiuming Chub ; Dingfang Chen
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2009
  • 卷号:5
  • DOI:10.1080/15501320802508295
  • 出版社:Hindawi Publishing Corporation
  • 摘要:Collaborative and distributed visualization applications generally require access to high-performance and high-end resources that are both expensive to own and maintain. Often there are also a limited number of such resources available. The development of Grid infrastructure allows these resources to be shared by visualization service providers and users. However, effective use of such resources necessitate the development of mechanisms which take into account the particular constraints needed to satisfy particular application resource demands as some visualization applications may be dependent on requiring data to be stored and delivered in a timely manner. Therefore, these applications must adhere to stringent real-time constraints and Quality-of-Service (QoS) requirements. In this paper we proposed a novel approach to matching visualization service requests with service advertisements using QoS attributes. Five attributes—Response time, Availability, Execution price, Memory capacity, and Number of CPUs—are selected as the quality criteria for the visualization services, and for each one, we provide a definition, indicate its granularity, and provide rules to compute its value for a given service.
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