Optimized Resource Allocation Using Machine Learning Techniques

Abstract

Resource allocation in any computing environment provides scope for optimization. To allocate hardware
in a particular organization (or) institution in an efficient way, refined grasshopper optimization
algorithm is used. In grasshopper optimization algorithm, randomness is not achieved properly. To
achieve the randomness, Levy search algorithm is used. Levy search algorithm is the random search
algorithm where the probability distribution of a random search walk and it is used to provide random
factor efficiently. This result is compared with the results obtained from cuckoo search algorithm over the
requests. The experimental result shows that Improved Grasshopper optimization algorithm gives the best
result.