期刊文献+

Client-Centric Adaptive Scheduling of Service-Oriented Applications 被引量:4

Client-Centric Adaptive Scheduling of Service-Oriented Applications
原文传递
导出
摘要 The paper proposes a client-centric computing model that allows for adaptive execution of service-oriented applications. The model can flexibly dispatch application tasks to the client side and the network side, dynamically adjust an execution scheme to adapt to environmental changes, and thus is expected to achieve better scalability, higher performance and more controllable privacy. Scheduling algorithms and the rescheduling strategies are proposed for the model. Experiments show that with the model the performance of service-oriented application execution can be improved. The paper proposes a client-centric computing model that allows for adaptive execution of service-oriented applications. The model can flexibly dispatch application tasks to the client side and the network side, dynamically adjust an execution scheme to adapt to environmental changes, and thus is expected to achieve better scalability, higher performance and more controllable privacy. Scheduling algorithms and the rescheduling strategies are proposed for the model. Experiments show that with the model the performance of service-oriented application execution can be improved.
出处 《Journal of Computer Science & Technology》 SCIE EI CSCD 2006年第4期537-546,共10页 计算机科学技术学报(英文版)
基金 Supported by the National Natural Science Foundation of China under Grant Nos. 90412005 and 90412010.
关键词 service-oriented applications client-centric computing adaptive scheduling personal service grid service-oriented applications, client-centric computing, adaptive scheduling, personal service grid
  • 相关文献

参考文献25

  • 1Singh M P. Being interactive: Physics of service composition. IEEE Internet Computing, 2001, 5(3): 6-7.
  • 2Casati F, Sayal M, Shan M. Developing e-services for composing e-services. In Proc. 13th Int. Conf. Advanced Information System Engineering (CAiSE2001), Interlaken, Switzerland, June 4-8, 2001, pp.171-186.
  • 3Berardi D, Calvanese D, Giacomo G D et al. Automatic composition of e-services that export their behavior. In Proc. 1st Int. Conf. Service Oriented Computing (ICSOC2003), Trento, Italy, December 15-18, 2003, pp.43-58.
  • 4Han Y, Geng H, Li H et al. VINCA-A visual and personalized business-level composition language for chaining webbased services. In Proc. 1st Int. Conf. Service-Oriented Computing (ICSOC2003), Trento, Italy, December 15-18, 2003, pp.165-177.
  • 5Deelman E, Blythe J, Gil Yet al. Mapping abstract complex workflows onto grid environments. J. Grid Comput., 2003, 1(1): 25-39.
  • 6Domingues P, Marques P, Silva L M. Resource usage of windows computer laboratories. In Proc. 94th Int. Conf. Parallel Processing Workshops, Oslo, Norway, June 14-17, 2005, pp.469-476.
  • 7SETI@home. http://setiathome.ssl.berkeley.edu/.
  • 8GENOME@HOME. http://www.stanford.edu/group/pandegroup/genome/.
  • 9Casati F, Ilnicki S, Jin L J et al. Adaptive and dynamic service composition in eFlow. In Proc. 12th Int. Conf.Advanced Information Systems Engineering ( CAiSE), Stockholm, Sweden, June, 2000, pp.13-31.
  • 10BPWS4J. http://www.alphaworks.ibm.com/tech/bpws4j.

同被引文献33

  • 1李厚福,韩燕波,虎嵩林,单保华,梁英.一种面向服务、事件驱动的企业应用动态联盟构造方法[J].计算机学报,2005,28(4):739-749. 被引量:24
  • 2韩燕波,王洪翠,王建武,闫淑英,张程.一种支持最终用户探索式组合服务的方法[J].计算机研究与发展,2006,43(11):1895-1903. 被引量:15
  • 3Youakim B. Service-oriented workflow [J]. Journal of Digital Information Management, 2008, 6(1): 119.
  • 4Li Guoli, Muthusamy V, Jacobsen H A. A distributed service-oriented architecture for business process execution [J]. ACM Trans on the Web, 2010, 4(1): 1-33.
  • 5Vaquero I. M, Rodero-Merino in the clouds: Towards a L, Caceres J, et al. A break cloud definition [J]. ACM SIGCOMM Computer Communication Review, 2008, 39 (1): 50-55.
  • 6Krafzig D, Banke K, Slama D. Enterprise SOA: Service- Oriented Architecture Best Practices [M]. Upper Saddle River, NJ, Prentice Hall, 2004:1-17.
  • 7Rings T, Caryer G, Gallop J, et al. Grid and cloud computing: Opportunities for integration with the next generation network [J]. Journal of Grid Computing, 2009, 7 (3) : 375-393.
  • 8Liu K, Jin H, Chen J, et al. A compromised-time-cost scheduling algorithm in SwinDeW-C for instance-intensive cost-constrained workflows on cloud computing platform [J]. International Journal of High Performance Computing Applications, 2010, 24(4): 445.
  • 9Navathe S, Ceri S, Wiederhold G, et al. Vertical partitioning algorithms for database design [J]. ACM Trans on Database Systems, 1984, 9(4): 680-710.
  • 10Ozsu M T, Valduriez P. Principles of distributed database systems [M]. Upper Saddle River, NJ, Prentice Hall PTR, 1991.

引证文献4

二级引证文献34

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部