An Enhanced Job Scheduling Policy for the Cloud Environment to Achieve Optimal Solution for Low Task Low Resource Classification

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