Study analysis and design of hybrid approach to enhance

Abstract

quotDifferent users and clients are working in cloud computing which rise to load balancer. Load Balancing is having a key role in cloud computing. The major concept in load balancer is if heavy data is too be passed it should not be overloaded neither there should be under load. Still many researchers have this constrain of doing different survey on storage of data on virtual machine. Different researchers have done research on different algorithm. Even work is done on static load balancing algorithm. But the results generated were not as per requirement. Which rise to shifting to dynamic load balancing algorithm . But still the problem doesn t resolve and different researches are ongoing progress. The major constrain is how to distribute data among different virtual machine and proper care should be taken when transmitting data it should be neither overloaded nor under loaded at one particular time. newline newlineIn this research different algorithms were studied with their parameters in cloud computing area to overcome this problem. Different survey study analyses were done on static load balancing algorithm. Each algorithm was checked by different parameter but still results were not appropriate. Then analysis was further extended on dynamic load balancing algorithm. It was found to give little better result than previous one. But few parameters still face problem as the result generated needed improvement. So hybrid approach is taken into consideration and algorithm is been prepared. Algorithms were consideration taken were honeybee and modified min max. Data was been processed taking data center and virtual machine. newline newlineHere, different data is evaluated in Virtual Machine (VM) and comparison is taken into consideration, whether data is high or low. Here Data center are allocated and Vms are taken into consideration. If the data transfer on load is high then modified honey bee algorithm is applied. Similar way if the data transfer is found low than Modified Min Max algorithm is considered. After applying this modification tech