A Large-Scale Device Collaboration Resource Selection Method with Multi-QoS Constraint Supported

Abstract:

With the rapid development of the “Internet of Things” and large-scale area management, device collaboration has developed to the stage of large-scale device collaboration. Aiming at the large-scale, dynamics and real-time of the large-scale device collaboration system, in order to ensure the performance of the large-scale device collaboration system, a Quality of Service(QoS) model of large-scale device collaboration is proposed, which contains device QoS model, composite QoS model and QoS relation model. Based on the model, an algorithm of the resource selection in large-scale device collaboration system is presented. Finally, the result of simulation experiments on the large-scale device collaboration prototype system shows that the method can satisfy the performance requirements of the large-scale device collaboration system.

• Periodical: Advanced Materials Research (Volumes 143-144)
• Pages: 894-898
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.143-144.894
• Online since: October 2010
• Authors: Xiao Hui Rong, Pan Deng, Feng Chen
• Keywords: Constraint Relations among QoS, Dynamic Resource Selection, Large-Scale Device Collaboration, Quality of Service (QoS)

References

[1] Cardoso J. Quality of service and semantic composition of workflows[J]. Department of Computer Science. Athens, GA, University of Georgia. 2002, 215.

[2] WANG Yong, Hu Chunming, Du Zongxia. QoS-Awared Grid Workflow Schedule[J]. Journal of Software. 2006, 17(11): 2341-2351.

DOI: 10.1360/jos172341

[3] Grefen P, Aberer K, Hoffner Y, et al. CrossFlow: Cross-organizational workflow management in dynamic virtual enterprises[J]. Computer Systems Science and Engineering. 2000, 15(5): 277-290.

[4] Klingemann J, W Sch J, Aberer K. Deriving service models in cross-organizational workflows[C]. (1999).

[5] Su Sen, Li Fei, Yang Fangchun. An Iterative Selection Algorithm for Service Composition in Distributed Environment[J]. Science in China Series F: Information Sciences. 2008, 38(010): 1717-1732.

[6] XU Ke, LI Wei. An Average Time Analysis of Backtracking on Random Constraint Satisfaction Problems[J]. Journal of Software. 2000, 11(11): 1467-1471.