NDLI: A Distributed Cache Based Reliable Service Execution and Recovery Approach in MANETs

Content Provider	IEEE Xplore Digital Library
Author	Xi Zhou Yifan Ge Xuxu Chen Yinan Jing Weiwei Sun
Copyright Year	2011
Abstract	In the environment of Mobile Ad-hoc Networks (MANETs), devices can collaborate under the service-oriented architecture (SOA). However, as MANETs are infrastructure-less, devices may move randomly and join and leave the network at any time which leads to a permanently changing topology of the network. What adds to the unpredictability of the network is the limited resource of the nodes, including battery power, processing capacity and memory limit which are common problems for mobile devices. All these features pose a potential risk of failure to the process of service execution. Therefore, service recovery is indispensable to guarantee the success rate when the service execution plan cannot be conducted as the user expects. In this paper, we proposed a novel strategy of service execution and service recovery. By employing additional control messages, the point of fault can be quickly acknowledge by the closest device which will then take the responsibility of service recovery. Using the distributed service cache which is maintained by each node in the network, a back-up service execution plan will be elected promptly. The simulation shows that our strategy can effectively reduce the response time and increase the success rate of service execution.
Starting Page	298
Ending Page	305
File Size	235974
Page Count	8
File Format	PDF
ISBN	9781467302067
DOI	10.1109/APSCC.2011.53
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-12-12
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	service execution Peer to peer computing service recovery Mobile communication Ad hoc networks Mobile handsets Reliability Mobile computing Monitoring ad-hoc network
Content Type	Text
Resource Type	Article

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