A local cloud service providing model in mobile cloud computing

被引:0
作者
Liu, Xing [1 ]
Yuan, Chaowei [1 ]
Yang, Zhen [2 ]
Hu, Zhongwei [1 ]
Li, Zhenjun [1 ]
Zhang, Zengping [3 ]
机构
[1] School of Information and Communication Engineering, Beijing University of Posts and Telecommunications
[2] School of Computer Science, Beijing University of Posts and Telecommunications
[3] College of Computer and Information Technology, Inner Mongolia Normal University
来源
Liu, X. (buptliuxing@gmail.com) | 1600年 / Binary Information Press, P.O. Box 162, Bethel, CT 06801-0162, United States卷 / 09期
关键词
Cloud computing; Delivery delay; Mobile cloud computing; Mobile terminal; Modularity;
D O I
10.12733/jcis8048
中图分类号
学科分类号
摘要
Mobile cloud computing (MCC) is widely accepted as a concept that can significantly improve the processing capacity, storage, and battery time of mobile terminals (MTs) by migrate the data processing and storage to the remote cloud. However, MCC faces long latency problem because the data users' need are always stored in the remote servers in the cloud. In order to reduce this latency, in this paper, we consider an MCC environment in which the local networks and servers can form a community to create local sub-cloud to support the mobile applications. We propose a local cloud service providing model (LCSPM) for the MCC to support mobile users with low service delivery latency. Based on the LCSPM, we further propose finding local sub-clouds algorithm which splits the local networks and local servers (LSs) into relatively independent local sub-cloud. The numerical results shows that the proposed service providing model can achieve a desirable performance and reduce the service delivery delay of an MCC significantly. © 2013 Binary Information Press.
引用
收藏
页码:9131 / 9138
页数:7
相关论文
共 13 条
  • [1] Niyato D., Et al., Game theoretic modeling of cooperation among service providers in mobile cloud computing environments, Wireless Communications and Networking Conference (WCNC), (2012)
  • [2] Han Q., Gani A., Research on mobile cloud computing: Review, trend and perspectives, Digital Information and Communication Technology and It's Applications (DICTAP), 2012 Second International Conference on, (2012)
  • [3] Sher Decusatis C.J., Carranza A., Decusatis C.M., Communication within clouds: Open standards and proprietary protocols for data center networking, Communications Magazine, IEEE, 50, 9, pp. 26-33, (2012)
  • [4] Contreras L.M., Et al., Toward cloud-ready transport networks, Communications Magazine, IEEE, 50, 9, pp. 48-55, (2012)
  • [5] Ahlgren B., Aranda P., Chemouil P., Oueslati S., Correia L., Karl H., Welin A., Content, connectivity, and cloud: Ingredients for the network of the future, IEEE Communications Magazine, 49, 7, pp. 62-70, (2011)
  • [6] Church K., Greenberg A., Hamilton J., On delivering embarrassingly distributed cloud services, Proceedings ACM HotNets, (2008)
  • [7] Nguyen N.P., Et al., Adaptive algorithms for detecting community structure in dynamic social networks, INFOCOM, 2011 Proceedings IEEE, (2011)
  • [8] Lee D., Liang S.H.L., Geopot: A cloud-based geolocation data service for mobile applications, International Journal of Geographical Information Science, 25, 8, pp. 1283-1301, (2011)
  • [9] Freeman L.C., A set of measures of centrality based on betweenness, Sociometry, 40, 1, pp. 34-41, (1977)
  • [10] Nguyen N.P., Et al., Adaptive algorithms for detecting community structure in dynamic social networks, INFOCOM, 2011 Proceedings IEEE, (2011)