RESEARCH PAPER
An Enhanced Job Scheduling Policy for the Cloud Environment to Achieve Optimal Solution for Low Task Low Resource Classification
 
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Online publication date: 2018-04-25
Publication date: 2018-03-26
 
Eurasian J Anal Chem 2018;13(2):emEJAC201813
 
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ABSTRACT
Cloud computing assumes an imperative job in all fields of the present business. The key test for the referenced server ranches is to give an ideal scheduling approach to process the computational employments in the cloud. Many scheduling arrangements were presented and sent by the current approaches so as to assemble an ideal cloud condition. The current methodologies of the heuristic calculations, for example, meta-heuristic and hyper-heuristic methodologies were most every now and again utilized planning calculations for as far back as years. These methodologies function admirably just in the restricted sorts of tasks and resources in the cloud environment. In the proposed framework, an optimal task strategies have been proposed by improving the hyper-heuristic methodology for low task and low resources in the cloud environment. The consequences of the proposed methodology are contrasted and the current methodologies and the exhibition assessment of the proposed methodology is additionally done. Subsequently, the proposed improved hyper-heuristic methodology performs well in the cloud environment.
eISSN:1306-3057