TY  - CONF
PB  - Institute of Electrical and Electronics Engineers Inc.
AV  - none
SN  - 9781479943913
N2  - 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.
KW  - Grid computing; Heuristic methods; Job shop scheduling; Middleware; Open systems; Scheduling
KW  -  Brute force; Computer lab; Cooling power; Heuristic approach; Network computing; Open source middlewares; Thermal constraints; Thermal profiles
KW  -  Genetic algorithms
TI  - Optimizing BOINC scheduling using genetic algorithm based on thermal profile
Y1  - 2014///
ID  - scholars4196
A1  - Binti, N.N.
A1  - Zakaria, M.N.B.
A1  - Aziz, I.B.A.
A1  - Binti, N.S.
UR  - https://www.scopus.com/inward/record.uri?eid=2-s2.0-84938815118&doi=10.1109%2fICCOINS.2014.6868837&partnerID=40&md5=6b83c459943540d76885a603e4317fff
N1  - 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
ER  -