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作者机构:State Key Laboratory for Novel Software TechnologyNanjing University Institute of Computer ScienceUniversity of Goettingen Department of Computer ScienceCity University of Hong Kong
出 版 物:《Science China(Information Sciences)》 (中国科学:信息科学(英文版))
年 卷 期:2013年第56卷第8期
页 面:104-118页
核心收录:
学科分类:12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术(可授工学、理学学位)]
基 金:supported by National Basic Research Program of China (973 Program) (Grant No.2009CB320705) National Natural Science Foundation of China (Grant Nos. 61003213,61073028,61021062) funding from Alexander von Humboldt Foundation
主 题:pervasive computing software update propagation mobile ad hoc networks
摘 要:With the development of Internet technology,a large portion of computer softwares appear to run in a network-oriented,distributed-deployed,and self-evolving *** emerging wireless communication technologies broaden the usage of software in mobile platforms,enabling the pervasive computing paradigm,where people can access information/service anytime and anywhere with portable *** the pervasive networking environment where mobile devices operate on the ad hoc mode and communicate with each other opportunistically without wireless infrastructures,distributing the evolving software updates to a set of mobile terminals is a challenging *** this paper,we address the problem of distributing multiple software updates in pervasive networks with storage and bandwidth constraints,and propose age-based solutions to tackle this *** basic idea is to introduce different age-based priority mechanisms for propagation decision making in order to resolve the contention of wireless bandwidth and storage *** investigate a number of update propagation strategies including random spread,youngest age,and golden *** models are derived to analyse the performance of the proposed *** is shown that the golden age strategy has the burst effect,which could be used to enhance the efficiency of software update *** principles for choosing golden age values are proposed aiming to optimize different utility *** simulations under various network parameters show that the golden age strategy outperforms other strategies for multi-source software updates propagation.