• Mahidhar Rao
• Harish Kumar
• Pavan Kumar
• Ethirajulu

A dynamic technology fundamentally transforming the way that computing services are delivered, cloud computing offers information and communication technology users a new dimension of convenience of resources, as services via the Internet. Because cloud provides a finite pool of virtualized on-demand resources, optimally scheduling them has become an essential and rewarding topic, where a trend of using Evolutionary Computation (EC) algorithms is emerging rapidly. Through analyzing the cloud computing architecture, this survey first presents taxonomy at two levels of scheduling cloud resources. It then paints a landscape of the scheduling problem and solutions. According to the taxonomy, a comprehensive survey of state-of-the-art approaches is presented systematically. Looking forward, challenges and potential future research directions are investigated and invited, including real-time scheduling, adaptive dynamic scheduling, large-scale scheduling, multi objective scheduling, and distributed and parallel scheduling.

Dynamic, Cloud Computing, Resources, Parallel Scheduling, Evolutionary Computing, Taxonomy.

"Effective migration resource reallocation based on cloud computing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.1233-1241, April-2020, Available :http://www.jetir.org/papers/JETIR2004168.pdf

"Effective migration resource reallocation based on cloud computing ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp1233-1241, April-2020, Available at : http://www.jetir.org/papers/JETIR2004168.pdf