Cuckoo Search Algorithm for Job Scheduling in Cloud Systems

Supacheep AMTADE; Toshiyuki MIYAMOTO

doi:10.1587/transfun.E98.A.645

Cuckoo Search Algorithm for Job Scheduling in Cloud Systems

Supacheep AMTADE, Toshiyuki MIYAMOTO

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A cloud system is defined as a large scale computer system that contains running high performance computers and responds to a large number of incoming tasks over the Internet. In this paper, we consider the problem to schedule computational jobs efficiently regarding system resource constraint and introduce a cuckoo search (CS) algorithm. Experimental results show that CS outperforms the genetic algorithm in terms of fitness value.

Publication: IEICE TRANSACTIONS on Fundamentals Vol.E98-A No.2 pp.645-649

Publication Date: 2015/02/01

Publicized

Online ISSN: 1745-1337

DOI: 10.1587/transfun.E98.A.645

Type of Manuscript: Special Section LETTER (Special Section on Mathematical Systems Science and its Applications)

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Authors

Supacheep AMTADE
Osaka University,Kasetsart University
Toshiyuki MIYAMOTO
Osaka University

Keyword

Cloud systems, resource constraint, cuckoo search, job scheduling, optimization

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Supacheep AMTADE, Toshiyuki MIYAMOTO, "Cuckoo Search Algorithm for Job Scheduling in Cloud Systems" in IEICE TRANSACTIONS on Fundamentals, vol. E98-A, no. 2, pp. 645-649, February 2015, doi: 10.1587/transfun.E98.A.645.
Abstract: A cloud system is defined as a large scale computer system that contains running high performance computers and responds to a large number of incoming tasks over the Internet. In this paper, we consider the problem to schedule computational jobs efficiently regarding system resource constraint and introduce a cuckoo search (CS) algorithm. Experimental results show that CS outperforms the genetic algorithm in terms of fitness value.
URL: https://globals.ieice.org/en_transactions/fundamentals/10.1587/transfun.E98.A.645/_p

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@ARTICLE{e98-a_2_645,
author={Supacheep AMTADE, Toshiyuki MIYAMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Cuckoo Search Algorithm for Job Scheduling in Cloud Systems},
year={2015},
volume={E98-A},
number={2},
pages={645-649},
abstract={A cloud system is defined as a large scale computer system that contains running high performance computers and responds to a large number of incoming tasks over the Internet. In this paper, we consider the problem to schedule computational jobs efficiently regarding system resource constraint and introduce a cuckoo search (CS) algorithm. Experimental results show that CS outperforms the genetic algorithm in terms of fitness value.},
keywords={},
doi={10.1587/transfun.E98.A.645},
ISSN={1745-1337},
month={February},}

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TY - JOUR
TI - Cuckoo Search Algorithm for Job Scheduling in Cloud Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 645
EP - 649
AU - Supacheep AMTADE
AU - Toshiyuki MIYAMOTO
PY - 2015
DO - 10.1587/transfun.E98.A.645
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E98-A
IS - 2
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - February 2015
AB - A cloud system is defined as a large scale computer system that contains running high performance computers and responds to a large number of incoming tasks over the Internet. In this paper, we consider the problem to schedule computational jobs efficiently regarding system resource constraint and introduce a cuckoo search (CS) algorithm. Experimental results show that CS outperforms the genetic algorithm in terms of fitness value.
ER -