Load Balancing By Using Algorithm

S.K. Tagalpallewar


The rapid growth of the World Wide Web has brought huge increase in traffic to popular web sites. As a consequence, end users often experience poor response time or denial of service. A cluster of multiple servers that behaves like a single host can be used to improve the throughput and alleviate the server bottlenecks. To achieve such a cluster, we need robust routing algorithms that provide scalability, effective load balancing and high availability in a constantly changing environment. Concept of Balancing Load in cloud computing has an important effect on the performance. A cloud computing system which does not use load balancing has numerous drawbacks. Now-a-days the usage of internet and related resources has increased widely. Due to this there is tremendous increase in workload. So there is uneven distribution of this workload which results in server overloading and may crash. In such systems the resources are not optimally used. Due to this the performance degrades and efficiency reduces. Cloud computing is made more efficient by better load balancing methods. User satisfaction also improves. This paper introduces a better load balancing model for the public cloud based on the cloud partitioning concept. A switch mechanism is introduced here to choose different strategies for different situations. The public cloud is divided into cloud partitions and different strategies are applied to balance the load on clouds. This paper introduces a system which has main controller, balancers and servers. The main controller selects the appropriate balancer for a particular job. The balancer further selects the server having minimum load. Hence, this system will help dynamically allocate jobs (data) to the least loaded server which will result in an efficiently balanced cloud system.

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