• MS.POOJA RATHOD

Cloud computing is one of the area in the various fields related to computer science can be exercised for on demand dynamic resource allocation for providing reliable and guaranteed services to the consumer. Dynamic resource allocation should be done in such manner that it should not waste a resources and also less energy consumption. The scheduling dynamic resources for maximizing resource utilization, genetic algorithm concept with multiobjective is much faster than traditional other algorithms for resource predication and allocation. This paper provides detailed description of the dynamic resource allocation scheduling methods for cloud computing and comparative study provides the clear detail about the different techniques

MOO- multiobjective optimization, GA – genetic algorithm. VM- virtual machine, PM- physical machine

"SURVEY ON DYNAMIC RESOURCE ALLOCATION SCHEDULER IN CLOUD COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.5, Issue 4, page no.1005-1008, April-2018, Available :http://www.jetir.org/papers/JETIR1804201.pdf

"SURVEY ON DYNAMIC RESOURCE ALLOCATION SCHEDULER IN CLOUD COMPUTING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.5, Issue 4, page no. pp1005-1008, April-2018, Available at : http://www.jetir.org/papers/JETIR1804201.pdf