Title :
An Improved Job Scheduling Algorithm by Utilizing Released Resources for MapReduce
Author :
Garai, Chandan ; Dasgupta, Ranjan
Author_Institution :
Dept. of Inf. Technol., Bengal Coll. of Eng. & Technol., Durgapur, India
Abstract :
MapReduce has become one standard for big data processing in Cloud computing environment. However job scheduling in this model is always a challenge for the research fraternity and several job scheduling algorithms have already been proposed by researchers addressing various issues. All such algorithms mostly emphasize on meeting of job deadline without taking cognizance of additional released resources being available through intermediate release of resources during processing. In this paper, we propose a new job scheduling algorithm which satisfies job deadline for all scheduled jobs along with utilization of the unused resources so that more number of jobs can be scheduled and the overall system efficiency will be increased.
Keywords :
Big Data; cloud computing; resource allocation; scheduling; Big Data processing; MapReduce; cloud computing environment; job scheduling algorithm; released resource utilization; Cloud computing; Clustering algorithms; Computational modeling; Programming; Resource management; Scheduling; Scheduling algorithms; Big Data; Cloud Computing; Deadline; Job Scheduling; MapReduce;
Conference_Titel :
Emerging Applications of Information Technology (EAIT), 2014 Fourth International Conference of
DOI :
10.1109/EAIT.2014.55
