Distributing workloads across multiple computing resources are one of the major challenges in a cloud computing environment. This paper is being discussed over the basic obstacles of load balancing in cloud environment. The paper looks beyond the problems faced by the cloud system to overcome those through probable improvised techniques. This is a paper over solving the problems exist in the present days by logically analyzing and presenting in an algorithmic format. This approach is mainly focused on an effective job queue making strategy which is suitably allocated the various jobs to CPUs based on their priority or without priority. It also deals with some of the major problems of load balancing in cloud environment like, timeout. Finally, it shows how this approach is fitted in famous AWS and GAE cloud architecture partially. This article will provide the readership an overview of various load balancing problems in cloud environment while also simulating further interest to pursue more advanced research in it.
No takes yet. Share an insight, caveat, or question.
Chakraborty et al. (2016) studied this question.
Synapse has enriched 5 related papers. Consider them for comparative context: