Modern Load Balancing Techniques and Their Effects on Cloud Computing

Abstract

Cloud computing is a new and advanced viewpoint for large-scale parallel and distributed computing systems. Cloud computing is growing quickly, and users are demanding more services and better results, so cloud-computing load balancing has become a very thought-provoking and important research area. Load on the cloud is growing extremely with the expansion of new applications. Load balancing is a major area of the cloud computing environment, which guarantees that all connected devices or processors simultaneously perform the same amount of work. Hence, an efficient load-balancing scheme is needed to improve the performance of cloud computing. Different researchers in the past years have proposed several load-balancing algorithms. This paper examines the important necessities and concerns for designing and implementing a suitable load balancer for cloud environments. In addition, we constitute an entire survey of recently proposed cloud load balancing solutions; finally, we propose evaluating these solutions based on suitable metrics and discuss their advantages and disadvantages.

Limitations of Load Balancing and Performance Analysis Processes and Algorithms in Cloud Computing

“…Cloud computing is growing rapidly and users are demanding more and more services, that's why cloud computing load balancing has become such a thoughtful impetus and important research area. Load on the cloud is growing extremely with the expansion of new applications [22] to overcome the load because of huge requests and increase the quality of service many load balancing techniques are used. In this paper, we surveyed many cloud load balancing techniques and focusing to the limitations of each to help the researchers to propose new methods to overcome the limitations to solve the problem of load balancing in cloud computing environment.…”

Comprehensive review of load balancing in cloud computing system

“…Simulator CloudSim was used for the implementation, results obtained show that system dynamically distribute load across the itinerary. Kanbar and Faraj [24] introduced a better load balance model for the public cloud based on the cloud partitioning concept with a switch mechanism to choose different strategies for different situations. The algorithm applied game theory to the load balancing strategy to improve efficiency in the public cloud environment.…”