Mendeley
TY  _  JOUR
ID  -  202006218180
TI  -  Scheduling tasks in cloud environments using mapping framework - reduction and genetic algorithm
JO  -  Journal of Information and Communication Technology
JA  -  ES
LA  -  fa
SN  -  2717-0411
AU  -  khezr nima
AU  -  jafari novimipour nima
AD  -  گروه مهندسی کامپیوتر، واحد تبریز، دانشگاه آزاد اسلامی، تبریز، ایران
AD  -  گروه مهندسی کامپیوتر، واحد تبریز، دانشگاه آزاد اسلامی، تبریز، ایران
Y1  -  2020
PY  -  2020
VL  -  37
IS  -  
SP  -  71
EP  -  84
KW  -  Cloud Computing
KW  -   Task Scheduling
KW  -   Execution Reduction
KW  -   Genetic Algorithm
KW  -   Mapping-Reduction
KW  -   Hadoop
DO  -  
N2  -  Task scheduling is a vital component of any distributed system such as grids, clouds, and peer-to-peer networks that refer tasks to appropriate resources for execution. Common scheduling methods have disadvantages such as high time complexity, inconsistent execution of input tasks, and increased program execution time. Exploration-based scheduling algorithms to prioritize tasks from
UR  - rimag.ir/en/Article/8180
L1  - rimag.ir/en/Article/Download/8180
ER  -  
