%0 Journal Article
%T Jswa an Improved Algorithm for Grid Workflow Scheduling Using Ant Colony Optimization
%A Niazmand, Emetis
%A Bayrampoor, Javad
%A Delavar, Arash Ghorbannia
%A Boroujeni, Ali Reza Khalili
%J Journal of Mathematics and Computer Science
%D 2013
%V 6
%N 4
%@ ISSN 2008-949X
%F Niazmand2013
%X In this paper we propose an improved algorithm for scheduling grid workflow by using ant colony optimization method. Ant colony optimization (ACO) is a meta-heuristic for combinatorial optimization problems. JSWA algorithm is measured by using parameters such as reliability, cost, request and acknowledgement time and bandwidth. Regarding the proposed algorithm and its comparison with scheduling algorithm, we have established a new competency through which the tasks are carried out by considering preference criterion parameters. To do so, there should be less time complexities in accessing tasks for the present algorithms compared with the proposed one. By implementing a technical method we could consider a system in which the efficiency and optimization are increased and finally the time needed for program performance is decreased by using the target function. Also we could estimate the real time of tasks' commute by calculating the commute time compared with the previous algorithms. The result is that JSWA is more efficient than the algorithms such as ACS and MOACO.
%9 journal article
%R 10.22436/jmcs.06.04.08
%U http://dx.doi.org/10.22436/jmcs.06.04.08
%P 315 - 331
%0 Book
%T An Ant Colony Optimization Approach to a Grid Workflow Scheduling Problem With Various QoS Requirements
%A Wei-Neng Chen
%A Jun Zhang
%D 2009
%I IEEE TRANSACTIONS ON SYSTEMS, MAN, AND CYBERNETICS—PART C: APPLICATIONS AND REVIEWS, VOL. 39, NO. 1
%C JANUARY
%F Chen2009
%0 Book
%T BPISG: A Batching Heuristic Scheduling Algorithm With Taking Index Parameters for Mapping Independent Tasks on Heterogeneous Computing Environment
%A Arash Ghorbannia Delavar
%A Ali Reza Kalili Boroujeni
%A Javad Bayrampoor
%D 2011
%I IJCSI International Journal of Computer Science Issues
%C Vol. 8, Issue 6, No 1, November
%F Delavar2011
%0 Book
%T An Analysis of Algorithmic Components for Multi objective Ant Colony Optimization
%A Manuel lopez-ibanez
%A Thomas stuetzle
%D 2009
%I A Case Study on the Biobjective TSP
%C June
%F lopez-ibanez2009
%0 Book
%T A New Scheduling Algorithm for Dynamic Task and Fault Tolerant in Heterogeneous Grid Systems Using Genetic Algorithm
%A A. GhorbanniaDelavar
%A M. Nejadkheirallah
%A M. Motalleb
%D 2010
%I
%C IEEE
%F GhorbanniaDelavar2010
%0 Book
%T A New Heuristic Approach: Mean Algorithm for Scheduling Meta-Tasks on Heterogeneous Computing Systems
%A G. K. Kamalam
%A V. Muralibhaskaran
%D 2010
%I Journal of Computer Science and Network Security
%C January
%F Kamalam2010
%0 Book
%T An Improved Min-Mean Heuristic Scheduling Algorithm for Mapping Independent Tasks onHeterogeneous Computing Environment
%A G. K. Kamalam
%A V. MuraliBhaskaran
%D 2010
%I Journal of Computational cognition
%C December
%F Kamalam2010
%0 Journal Article
%T Task Scheduling of parallel programming systems using Ant Colony Optimization
%A Jun Mao
%J Proceedings of the Third International Symposium on Computer Science and Computational Technology(ISCSCT ’10) Jiaozuo, P. R. China
%D 2010
%V 14-15
%F Mao2010
%0 Journal Article
%T Distributed Double-Level Workflow Scheduling Algorithms for Grid Computing
%A Fangpeng Dong
%A Selim G. Akl
%J Journal of Information Technology and Applications
%D 2007
%V 1(4)
%F Dong2007
%0 Journal Article
%T Computational models and heuristic methods for Grid scheduling problems
%A Fatos Xhafa
%A Ajith Abraham
%J Future Generation Computer Systems
%D 2010
%V 26
%F Xhafa2010
%0 Book
%T Economical Task Scheduling Algorithm for Grid Computing Systems
%A Amit Agarwal
%A Padam Kumar
%D 2010
%I Global Journal of Computer Science and Technology
%C Vol. 10 Issue 11 (Ver. 1.0)
%F Agarwal2010
%0 Book
%T Reliability Driven Task Scheduling for Heterogeneous Systems
%A Yi He
%A Zili Shao
%A Bin Xiao
%A Qingfeng-Zhuge
%A Edwin Sha
%D 2001
%I This work is partially supported by TI University Program
%C NSF EIA-0103709 and Texas ARP 009741-0028
%F He2001
%0 Journal Article
%T Improved differential evolution algorithm for resource-constrained project scheduling problem
%A Lianghong Wu
%A Yaonan Wang
%A Shaowu Zhou
%J Journal of Systems Engineering and Electronics, Available online at
%D 2010
%V 21
%F Wu2010
%0 Journal Article
%T An ACO approach for the Parallel Machines Scheduling Problem
%A Claudia Ruth Gatica
%A Susana Cecilia Esquivel
%A Guillermo Mario Leguizamon
%J Inteligencia Artificial 46, doi: 10.4114/ia.v14i46.1550
%D 2010
%V
%F Gatica2010
%0 Journal Article
%T An ant colony optimization solution to the integrated generation and transmission maintenance scheduling problem
%A P. S. GEORGILAKIS
%A P. G. VERNADOS
%A C. KARYTSAS
%J JOURNAL OF OPTOELECTRONICS AND ADVANCED MATERIALS
%D 2008
%V 10
%F GEORGILAKIS2008
%0 Book
%T
%A A. E. Rizzoli
%A R. Montemanni
%A E. Lucibello
%A L. M. Gambardella
%D 2007
%I 13 September Ant colony optimization for real-world vehicle routing problems From theory to applications
%C
%F Rizzoli2007
%0 Journal Article
%T BCO-Based Optimized Heuristic Strategies for QoS Routing
%A A. Ghorbannia Delavar
%A S. Hoseyny
%A R. Maghsoudi
%J The Journal of Mathematics and Computer Science
%D 2012
%V 5(2)
%F Delavar2012