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논문검색

An Analysis of Swarm Intelligence based Load Balancing Algorithms in a Cloud Computing Environment

초록

영어

The current advances in cloud computing layout well established research in Distributed computing, virtualization, web services, utility computing, have provided many advantages in scalability, cost and efficiency for cloud service users. These advantages are further expected to satisfy the demands of cloud users for cloud services in efficient and effective manner. This brings the issue of fault tolerance, scalability, efficiency, high availability. Central to these problems require the dynamic and efficient load balancing techniques. In this paper, we survey a special group of Swarm intelligence based load balancing algorithm and discuss the advantages and issues of these algorithms for cloud computing environment.

목차

Abstract
 1. Introduction
 2. Issues Related to Swarm Intelligence based Load balancing Algorithms
 3. Review of Swarm Intelligence based Load Balancing Algorithms
  3.1. Artificial Bee Colony Inspired Load Balancing Algorithms
  3.2. Particle Swarm Optimization (PSO) based Load Balancing Algorithms
 6. Conclusion and Future Work
 References

저자정보

  • Uma Singhal Madhav Institute of Technology and Science Gwalior, India
  • Sanjeev Jain Madhav Institute of Technology and Science Gwalior, India

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