2015•International journal of scientific and technology researchRequires access

Static Load Balancing Algorithms In Cloud Computing: Challenges & Solutions

Nadeem Shah, Mohammed Farik

Open publisher page 30 citations

Abstract

Cloud computing provides on-demand hosted computing resources and services over the Internet on a pay-per-use basis. It is currently becoming the favored method of communication and computation over scalable networks due to numerous attractive attributes such as high availability, scalability, fault tolerance, simplicity of management and low cost of ownership. Due to the huge demand of cloud computing, efficient load balancing becomes critical to ensure that computational tasks are evenly distributed across servers to prevent bottlenecks. The aim of this review paper is to understand the current challenges in cloud computing, primarily in cloud load balancing using static algorithms and finding gaps to bridge for more efficient static cloud load balancing in the future. We believe the ideas suggested as new solution will allow researchers to redesign better algorithms for better functionalities and improved user experiences in simple cloud systems. This could assist small businesses that cannot afford infrastructure that supports complex & dynamic load balancing algorithms.

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What this paper is about

Cloud computing provides on-demand hosted computing resources and services over the Internet on a pay-per-use basis. It is currently becoming the favored method of communication and computation over scalable networks due to numerous attractive attributes such as high availability, scalability, fault tolerance, simplicity of management and low cost of ownership. Due to the huge demand of cloud computing, efficient load balancing becomes critical to ensure that computational tasks are evenly distributed across servers to prevent bottlenecks. The aim of this review paper is to understand the current challenges in cloud computing, primarily in cloud load balancing using static algorithms and finding gaps to bridge for more efficient static cloud load balancing in the future. We believe the ideas suggested as new solution will allow researchers to redesign better algorithms for better functionalities and improved user experiences in simple cloud systems. This could assist small businesses that cannot afford infrastructure that supports complex & dynamic load balancing algorithms.

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Available abstract

Cloud computing provides on-demand hosted computing resources and services over the Internet on a pay-per-use basis. It is currently becoming the favored method of communication and computation over scalable networks due to numerous attractive attributes such as high availability, scalability, fault tolerance, simplicity of management and low cost of ownership. Due to the huge demand of cloud computing, efficient load balancing becomes critical to ensure that computational tasks are evenly distributed across servers to prevent bottlenecks. The aim of this review paper is to understand the current challenges in cloud computing, primarily in cloud load balancing using static algorithms and finding gaps to bridge for more efficient static cloud load balancing in the future. We believe the ideas suggested as new solution will allow researchers to redesign better algorithms for better functionalities and improved user experiences in simple cloud systems. This could assist small businesses that cannot afford infrastructure that supports complex & dynamic load balancing algorithms.

Key concepts: Cloud computing, Load balancing (electrical power), Computer science, Scalability, Distributed computing, Server, Fault tolerance, Cloud testing

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