Document Type

Article

Publication Date

9-2012

Publication Title

International Journal of Applied Mathematics and Computer Science

Volume

22

Issue

3

First page number:

733

Last page number:

748

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 close to an optimum and can be used for larger problem instances than those solvable by CPLEX or other ILP solvers.

Keywords

Distributed computing; Distributed operating systems (Computers); Evolutionary algorithms; Heuristic; Heuristic algorithms; Heuristic programming; Peer-to-peer architecture (Computer networks); Optimization; P2P computing system

Disciplines

Computer and Systems Architecture | Computer Engineering | Electrical and Computer Engineering | Engineering

Language

English

Permissions

Copyright De Gruyter Open. Used with permission.

Download

UNLV article access

Search your library

Share

COinS