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RESEARCH TECHNOLOGY AN EFFICIENT FUZZY LOAD BALANCING ALGORITHM FOR PUBLIC CLOUDS

Anindita Kundu

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Abstract

Cloud computing is efficient and scalable but maintaining the stability of processing so many jobs in the cloud computing environment is a very complex problem with load balancing receiving much attention for researchers.. Cloud computing means distributed computing. Cloud computing enables convenient, on-demand, dynamic and reliable use of distributed computing resources. Load balancing in the cloud computing environment has an important impact on the performance. It makes cloud computing more efficient and improves user satisfaction. This article introduces a better load balance model for the public cloud. To improve the efficiency in the public cloud environment, this algorithm is being introduced that applies fuzzy inference with load scheduling.

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What this paper is about

Cloud computing is efficient and scalable but maintaining the stability of processing so many jobs in the cloud computing environment is a very complex problem with load balancing receiving much attention for researchers.. Cloud computing means distributed computing. Cloud computing enables convenient, on-demand, dynamic and reliable use of distributed computing resources. Load balancing in the cloud computing environment has an important impact on the performance. It makes cloud computing more efficient and improves user satisfaction. This article introduces a better load balance model for the public cloud. To improve the efficiency in the public cloud environment, this algorithm is being introduced that applies fuzzy inference with load scheduling.

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Available abstract

Cloud computing is efficient and scalable but maintaining the stability of processing so many jobs in the cloud computing environment is a very complex problem with load balancing receiving much attention for researchers.. Cloud computing means distributed computing. Cloud computing enables convenient, on-demand, dynamic and reliable use of distributed computing resources. Load balancing in the cloud computing environment has an important impact on the performance. It makes cloud computing more efficient and improves user satisfaction. This article introduces a better load balance model for the public cloud. To improve the efficiency in the public cloud environment, this algorithm is being introduced that applies fuzzy inference with load scheduling.

Key concepts: Cloud computing, Computer science, Load balancing (electrical power), Cloud testing, Distributed computing, Scalability, Utility computing, Scheduling (production processes)

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