Title :
Analytical study of load scheduling algorithms in cloud computing
Author :
Chaudhary, D. ; Kumar, B.
Author_Institution :
Dept. of Comput. Eng., Netaji Subhas Inst. of Technol., New Delhi, India
Abstract :
Scheduling enables the cloud in balancing the large amount of load present in the system for faster computation. It plays a vital and significant part in the execution of the load in the various heterogeneous systems. The scheduling portrays a selection of resources for the tasks for better resource utilization. This paper differentiates the various load scheduling algorithms applied in the various heterogeneous systems in detail. It plays a key role in larger resource utilization and handling. This paper defines the basic cloud computing fundamentals and the concept of load balancing i.e., scheduling of load in cloud. The applied load scheduling algorithms are elaborated and surveyed extensively.
Keywords :
cloud computing; resource allocation; scheduling; cloud computing; heterogeneous systems; load balancing; load scheduling algorithms; resource selection; resource utilization; Biological cells; Cloud computing; Genetic algorithms; Load management; Resource management; Scheduling algorithms; A∗ Algorithm; Cloud; Genetic Algorithm; MCT; MET; Min-Min Algorithm; Scheduling;
Conference_Titel :
Parallel, Distributed and Grid Computing (PDGC), 2014 International Conference on
Conference_Location :
Solan
Print_ISBN :
978-1-4799-7682-9
DOI :
10.1109/PDGC.2014.7030706