DocumentCode :
643944
Title :
Predicting Availability of Mobile Peers in Large Peer-to-Peer Networks
Author :
Sipos, Marton Akos ; Ekler, Peter
Author_Institution :
Dept. of Autom. & Appl. Inf., Budapest Univ. of Technol. & Econ., Budapest, Hungary
fYear :
2013
fDate :
29-30 Aug. 2013
Firstpage :
71
Lastpage :
77
Abstract :
Peer-to-peer (P2P) applications for mobile devices are becoming more and more popular because of increasing bandwidth, computational performance and storage capabilities. Such a mobile based distributed architecture offers significant advantages in several scenarios from the perspective of both users and network operators. In these situations, a certain redundancy must be built into the system because the availability of the nodes can vary greatly. The goal of this paper is to present a methodology to minimize the necessary redundancy by predicting the number of available nodes. The prediction is performed in two steps, first an estimation is done locally at the node level, then a centralized aggregation is executed. We propose a hypothesis which highlights the key advantages of our solution when compared to single step estimation. Finally we discuss about the correctness of the computed redundancy.
Keywords :
computer network reliability; mobile computing; mobile handsets; peer-to-peer computing; P2P network; centralized aggregation; distributed architecture; mobile device; mobile peer availability; peer-to-peer network; single step estimation; storage capability; Accuracy; Availability; Batteries; Computational modeling; Peer-to-peer computing; Predictive models; Redundancy; Availability prediction; Distributed storage; Mobile devices; Peer-to-peer networks; Redundancy optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering of Computer Based Systems (ECBS-EERC), 2013 3rd Eastern European Regional Conference on the
Conference_Location :
Budapest
Type :
conf
DOI :
10.1109/ECBS-EERC.2013.18
Filename :
6664512
Link To Document :
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