eprintid: 4196
rev_number: 2
eprint_status: archive
userid: 1
dir: disk0/00/00/41/96
datestamp: 2023-11-09 16:15:51
lastmod: 2023-11-09 16:15:51
status_changed: 2023-11-09 15:57:53
type: conference_item
metadata_visibility: show
creators_name: Binti, N.N.
creators_name: Zakaria, M.N.B.
creators_name: Aziz, I.B.A.
creators_name: Binti, N.S.
title: Optimizing BOINC scheduling using genetic algorithm based on thermal profile
ispublished: pub
keywords: Grid computing; Heuristic methods; Job shop scheduling; Middleware; Open systems; Scheduling, Brute force; Computer lab; Cooling power; Heuristic approach; Network computing; Open source middlewares; Thermal constraints; Thermal profiles, Genetic algorithms
note: cited By 2; Conference of 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:112912
abstract: Berkeley Open Infrastructure for Network Computing (BOINC) is an open source middleware for volunteer and grid computing. Main function of BOINC is to use the idle time of computer to run some computation at background. Universiti Teknologi Petronas (UTP) campus grid used BOINC as middleware in computer labs. However, computer can only process jobs during weekday and office hour because they want to reduce energy used for cooling power. In order to fully utilize the computer in labs, we proposed new jobs scheduling algorithm can run based on thermal constraInternational The proposed algorithm is combination of thermal profile and heuristic approach. We use genetic algorithm to find the best combination of clients and jobs based on clients order and least execution time. Then we compare our algorithm with brute force method. Result from simulation it shows that proposed algorithm successfully distribute and execute job based on thermal constraints in an effective and efficient way compare to brute force method. © 2014 IEEE.
date: 2014
publisher: Institute of Electrical and Electronics Engineers Inc.
official_url: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938815118&doi=10.1109%2fICCOINS.2014.6868837&partnerID=40&md5=6b83c459943540d76885a603e4317fff
id_number: 10.1109/ICCOINS.2014.6868837
full_text_status: none
publication: 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 - A Conference of World Engineering, Science and Technology Congress, ESTCON 2014 - Proceedings
refereed: TRUE
isbn: 9781479943913
citation:   Binti, N.N. and Zakaria, M.N.B. and Aziz, I.B.A. and Binti, N.S.  (2014) Optimizing BOINC scheduling using genetic algorithm based on thermal profile.  In: UNSPECIFIED.