TY  - JOUR
T1  - Using Simulation to Improve Max-Min Algorithm for Minimizing the
Workflow Execution Cost in the Cloud
AU - Al-Haboobi, Ali S.A. AU - Hammoodi, Mohammed R.A.M. AU - Kadhim, Ahmed Raheem 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 2
SP  - 562
EP  - 566
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.562.566
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.562.566
KW  - Cloud computing
KW  -workflow
KW  -scheduling
KW  -execution time
KW  -cost
KW  -applications
AB  - Cloud computing has demonstrated to be a modern model that offers IT assets depend on the payper-
use basis as a service over the internet. Scientific workflow applications are benefiting from running on the
cloud computing services. However, the challenge is to optimize workflow scheduling algorithms are still
required an additional work. This study proposes max-min+ which is an extension for the max-min algorithm that
is able to minimize the total execution time and cost of workflow execution. We tested the proposed algorithm
via WorkflowSim with using 5 realistic scientific workflow applications. The results of max-min+ outperforms
the original max-min algorithm by minimizing the overall workflow execution time.
ER  -