Optimized Load Balancing Using Adaptive Algorithm In Cloud Computing With Round Robin Technique

Abstract

Developments in the field of computer networks have been carried out by several groups. However, there are still a lot of wrong problems one is the server load. For this reason, a system will be implemented Load Balancing with the aim of overcoming the server load which is not in accordance with its capacity and to optimize server load before and after the implementation of the Round robin Algorithm Load Balancing system on the cloud servers. The method used is the comparative method, namely researches that compares and analyze two or more symptoms, compare least connection algorithm as the previous algorithm with Round robin algorithm. Load Balancing Testing with both algorithms using a software called Httperf. Httperf displays the value according to parameters. The parameters used are Throughput, Response Time, Error and CPU Utilization. The test results show that load balancing with the algorithm round robin is more effective to handle server load than algorithm. The previous one was Least Connection. It is proven that in each respondent’s assessment of the load balancing system. Test rating throughput obtained a percentage of 81.11% with good criteria, testing response time obtained a percentage of 81.78% with good criteria, testing error obtained a percentage of 84.67% with very good criteria, and cpu utilization testing obtained a percentage of 82% with good criteria.