Group-Based Scheduling Scheme for Result Checking in Global Computing Systems

2005 ◽  
pp. 89-98
Author(s):  
HongSoo Kim ◽  
SungJin Choi ◽  
MaengSoon Baik ◽  
KwonWoo Yang ◽  
HeonChang Yu ◽  
...  
Keyword(s):  
Computing Systems ◽  
Scheduling Scheme ◽  
Global Computing

scholarly journals A Graph-based Design Framework for Global Computing Systems

2009 ◽  
Vol 236 ◽  
pp. 117-130 ◽  
Author(s):  
Antonio Bucchiarone ◽  
Greg Dennis ◽  
Stefania Gnesi
Keyword(s):  
Design Framework ◽  
Computing Systems ◽  
Global Computing

scholarly journals Trusting Collaboration in Global Computing Systems

2003 ◽  
pp. 136-149 ◽  
Author(s):  
Colin English ◽  
Waleed Wagealla ◽  
Paddy Nixon ◽  
Sotirios Terzis ◽  
Helen Lowe ◽  
...  
Keyword(s):  
Computing Systems ◽  
Global Computing

An efficient scheduling scheme using estimated execution time for heterogeneous computing systems

2013 ◽  
Vol 65 (2) ◽  
pp. 886-902 ◽  
Author(s):  
Hong Jun Choi ◽  
Dong Oh Son ◽  
Seung Gu Kang ◽  
Jong Myon Kim ◽  
Hsien-Hsin Lee ◽  
...  
Keyword(s):  
Execution Time ◽  
Heterogeneous Computing ◽  
Computing Systems ◽  
Scheduling Scheme ◽  
Heterogeneous Computing Systems

scholarly journals Heuristic algorithms for optimization of task allocation and result distribution in peer-to-peer computing systems

2012 ◽  
Vol 22 (3) ◽  
pp. 733-748 ◽  
Author(s):  
Grzegorz Chmaj ◽  
Krzysztof Walkowiak ◽  
Michał Tarnawski ◽  
Michał Kucharzak
Keyword(s):  
Linear Problem ◽  
Heuristic Algorithms ◽  
Computing System ◽  
Peer To Peer ◽  
Network Computing ◽  
Computing Systems ◽  
P2p Computing ◽  
Global Computing ◽  
Public Resource ◽  
P2p File Sharing

Abstract Recently, distributed computing system have been gaining much attention due to a growing demand for various kinds of effective computations in both industry and academia. In this paper, we focus on Peer-to-Peer (P2P) computing systems, also called public-resource computing systems or global computing systems. P2P computing systems, contrary to grids, use personal computers and other relatively simple electronic equipment (e.g., the PlayStation console) to process sophisticated computational projects. A significant example of the P2P computing idea is the BOINC (Berkeley Open Infrastructure for Network Computing) project. To improve the performance of the computing system, we propose to use the P2P approach to distribute results of computational projects, i.e., results are transmitted in the system like in P2P file sharing systems (e.g., BitTorrent). In this work, we concentrate on offline optimization of the P2P computing system including two elements: scheduling of computations and data distribution. The objective is to minimize the system OPEX cost related to data processing and data transmission. We formulate an Integer Linear Problem (ILP) to model the system and apply this formulation to obtain optimal results using the CPLEX solver. Next, we propose two heuristic algorithms that provide results very

Sign in / Sign up

Export Citation Format

Share Document