Adaptive Gentic Optimization Algorithm For Dynamic Resource Allocation In Cloud Computing

Document Type : Primary Research paper

Authors

1 CSE Dept., Assistant Professor, Bannari Amman Institute of Technology, Erode, Tamil nadu, India

2 CSE Dept., Professor, CMR Engineering College Kandlakoya (V), Hyderabad, Telangana, India

3 ECE Dept., Assistant Professor, QIS College of Engineering and Technology, Ongole, Andhra Pradesh.

Abstract

Cloud Computing is regarded as one among eminent technology which is
greatly necessitated for various applications which demands proficient dynamic resource
allocation to meet customer satisfaction through consistent and assured services. The
essential services are offered on the needy basis of users and hence cloud systems are
termed as ‘on demand’ technology. Optimal resource allocation is the most thoughtprovoking
concern in the prevailing system. A novel meta heuristic algorithm is presents to
alleviate the above-mentioned issue. Adaptive Genetic Optimization Algorithm (AGOA) is
greatly exploited for extemporize proficient resource allotment process in cloud. The
dynamic resource allotment is attained through task scattering or requests in Virtual
Machines (VMs). The optimized searching space which is acquired through AGOA are
instructed for searching direction adjustment in automatic manner with the help of
optimization method of probability. There will be improved individual performance when
there exists better fitness. The fitness function value is an important criterion in AGOA.
for finding out the individuals either to survive or die. Also, it is validated that
recommended AGOA offers improved performance while comparing with the prevailing
approaches.

Keywords