NDLI: Extensive analysis of the Kad-based distributed computing system DuDE

Content Provider	IEEE Xplore Digital Library
Author	Danielis, Peter Skodzik, Jan Altmann, Vlado Kappel, Benjamin Timmermann, Dirk
Copyright Year	2015
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)
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.
Starting Page	128
Ending Page	133
File Size	443559
Page Count	6
File Format	PDF
e-ISBN	9781467371940
DOI	10.1109/ISCC.2015.7405505
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-06
Publisher Place	Cyprus
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Peer-to-peer computing Protocols Distributed databases Scalability Computational modeling Complexity theory P2P Kad Distributed Computing Distributed Storing Simulation
Content Type	Text
Resource Type	Article

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