Challenges and Decisions in WOBCompute Design, a P2P Computing System Architecture

2021 ◽  
pp. 130-153
Author(s):  
Levente Filep
Keyword(s):  
System Architecture ◽  
Computing System ◽  
P2p Computing

scholarly journals Designing Computing System Architecture and Models for the HL-LHC era

2015 ◽  
Vol 664 (3) ◽  
pp. 032010
Author(s):  
L Bauerdick ◽  
B Bockelman ◽  
P Elmer ◽  
S Gowdy ◽  
M Tadel ◽  
...  
Keyword(s):  
System Architecture ◽  
Computing System

scholarly journals PHENIX on-line distributed computing system architecture

1998 ◽  
Vol 110 (1-3) ◽  
pp. 107-112 ◽  
Author(s):  
Edmond Desmond ◽  
John Haggerty ◽  
Hyon Joo Kehayias ◽  
Thomas Kozlowski ◽  
Martin L. Purschke ◽  
...  
Keyword(s):  
Distributed Computing ◽  
System Architecture ◽  
Computing System ◽  
On Line

scholarly journals Discrete correlation processor as a building core of a digital optical computing system: architecture and optoelectronic embodiment

1999 ◽  
Vol 38 (35) ◽  
pp. 7276 ◽  
Author(s):  
Keiichiro Kagawa ◽  
Yusuke Ogura ◽  
Jun Tanida ◽  
Yoshiki Ichioka
Keyword(s):  
System Architecture ◽  
Optical Computing ◽  
Computing System ◽  
Digital Optical Computing

Parallel Computing for Mining Association Rules in Distributed P2P Networks

2011 ◽  
pp. 47-62
Author(s):  
Huiwei Guan
Keyword(s):  
Data Mining ◽  
Parallel Computing ◽  
Distributed Computing ◽  
Parallel Algorithm ◽  
Association Rules ◽  
Distributed Databases ◽  
Computing System ◽  
Computing Systems ◽  
P2p Computing ◽  
P2p Systems

Distributed computing and Peer-to-Peer (P2P) systems have emerged as an active research field that combines techniques which cover networks, distributed computing, distributed database, and the various distributed applications. Distributed Computing and P2P systems realize information systems that scale to voluminous information on very large numbers of participating nodes. Data mining on large distributed databases is a very important research area. Recently, most work for mining association rules focused on a single machine or client-server network model. However, this traditional approach does not satisfy the requirements from the large distributed databases and applications in a P2P computing system. Two important challenges are raised, one is how to implement data mining for large distributed databases in P2P computing systems, and the other is how to develop parallel data mining algorithms and tools for the distributed P2P computing systems to improve the efficiency. In this chapter, a parallel association rule mining approach in a P2P computing system is designed and implemented, which satisfies the distribution of the P2P computing system well and makes parallel computing become true. The performance and comparison of the parallel algorithm with the sequential algorithm is analyzed and evaluated, which presents the parallel algorithm features consistent implementation, higher performance, and fine scalable ability.

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