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Author Danielis, Peter ♦ Skodzik, Jan ♦ Altmann, Vlado ♦ Kappel, Benjamin ♦ Timmermann, Dirk
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2015
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science ♦ Social sciences ♦ Commerce, communications & transportation ♦ Communications; telecommunication
Subject Keyword Peer-to-peer computing ♦ Protocols ♦ Distributed databases ♦ Scalability ♦ Computational modeling ♦ Complexity theory ♦ Scalability ♦ P2P ♦ Kad ♦ Distributed Computing ♦ Distributed Storing ♦ Simulation
Abstract The distributed computing of data is a challenging task in terms of the self-organizing task distribution and computing, especially if distributed computing systems are becoming very large and complex. Therefore, the distributed hash table (DHT)-based P2P system called DuDE has been developed to compute statistics of access nodes of Internet service providers in an efficient way. DuDE exploits the high failure resilience and scalability features of the DHT network Kad to achieve a high-performance distributed system, which avoids the bottlenecks of a centralized computing solution. To ensure highly available data, Reed-Solomon codes for reliable distributed data storage are utilized. For implementing DuDE, usual working steps of distributed computing have been extended to realize a highly scalable computing system. We have developed a simulation model for a large-scale DuDE network consisting of up to 9,000 access nodes for computing statistics. In this paper, simulation results are presented, which demonstrate that DuDE is able to almost linearly accelerate the distributed computing compared to a centralized solution while introducing low traffic overhead.
Description Author affiliation: University of Rostock, Institute of Applied Microelectronics and Computer Engineering, 18051 Rostock, Germany (Danielis, Peter; Skodzik, Jan; Altmann, Vlado; Kappel, Benjamin; Timmermann, Dirk)
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2015-07-06
Publisher Place Cyprus
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781467371940
Size (in Bytes) 433.16 kB
Page Count 6
Starting Page 128
Ending Page 133

Source: IEEE Xplore Digital Library