• Shanoo Aggarwal
• Anil rao

Cloud computing is quickly becoming a dominant model for end-users to access centrally managed computational resources. Through our work in extending OpenStack, we have demonstrated the feasibility of providing technical computing users with access to heterogeneous computing resources using a cloud computing model.the motive of this paper is to study and analyze the existing DSJF scheduling algorithm for cloud computing. To implement proposed Task grouping based DSJF comprises of grouping using K-means to reduce the overall processing of execution of jobs assigned to the resources. To apply load balancing to the task scheduling algorithm for cloud resources. To evaluate and compare the performance of existing DSJF with the proposed algorithm with respect to following parameters as span time, Processing Time, Processing Cost and Execution Time Keywords: cloud computing, hetrogeneous,

SCHEDULING OF HETEROGENOUS CLOUD COMPUTING SYSTEMS

"SCHEDULING OF HETEROGENOUS CLOUD COMPUTING SYSTEMS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 7, page no.2099-2103, July-2020, Available :http://www.jetir.org/papers/JETIR2007267.pdf

"SCHEDULING OF HETEROGENOUS CLOUD COMPUTING SYSTEMS ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 7, page no. pp2099-2103, July-2020, Available at : http://www.jetir.org/papers/JETIR2007267.pdf