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- 저자 : Uma Singhal,Sanjeev Jain (검색결과 2 건)
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An Analysis of Swarm Intelligence based Load Balancing Algorithms in a Cloud Computing Environment
Uma Singhal,Sanjeev Jain 보안공학연구지원센터 2015 International Journal of Hybrid Information Techno Vol.8 No.1
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.
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A New Fuzzy Logic and GSO based Load balancing Mechanism for Public Cloud
Uma Singhal,Sanjeev Jain 보안공학연구지원센터 2014 International Journal of Grid and Distributed Comp Vol.7 No.5
The recent advances in cloud computing set up well established research in Distributed computing, virtualization, web services, utility computing, have offered many benefits in scalability, cost and efficiency for cloud service users. These advantages are further expected to fulfill the demands of cloud users for cloud services efficiently. This brings the problem of fault tolerance, scalability, efficiency, high availability. Central to these issues require the dynamic and efficient load balancing techniques. In this paper, an effective load balance model is presented for public cloud in which cloud is partitioned with a switch mechanism to choose different load balancing strategy for different load. Fuzzy Logic have been extensively used in various applications such as image processing, data mining, networking, etc. due to its efficient internal architecture and its compatibility to solve various optimization problems. Fuzzy base networks have been observed to produce optimal results in various combinatorial optimization problems. Another important area which provides significant results in solving optimization is the swarm intelligence approach. GSO is observed to have provided significant optimal solution in lesser iterations. In this paper The Fuzzy logic and GSO based load balancing algorithm applied to the load balancing strategy to enhance the utilization and efficiency in the public cloud environment.
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