Innovative Load Balancing Algorithm by applying DLT

Authors: Seema Kohare, Mohit Jain

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Abstract

Cloud Computing became very popular in the last few years. As part of its services, it provides a flexible and easy way to keep and retrieve data and files. Load Balancing is essential for efficient operations in distributed environments. It helps in allocation and de-allocation of instances of applications without failure. Scheduling in cloud computing is a technique which is used to improve the overall execution time of the job. A good scheduling algorithm can help in load balancing as well. In this paper we proposed a new method for load balancing. We focused on devising an algorithm to schedule jobs and allocate servers in cloud systems. The algorithm is efficient as it provides optimal allocation. It maximizes the number of job requests that can be processed in unit time while conserving energy and keeping the costs low. The said optimal allocation is achieved by reducing the idle time of nodes of active servers and reducing the total number of servers used.

Introduction

Cloud computing is an on demand service in which shared resources, information, software and other devices are provided according to the clients requirement at specific time. It’s a term which is generally used in case of Internet. The whole Internet can be viewed as a cloud. Capital and operational costs can be cut using cloud computing.

Conclusion

The recent algorithms is designed which manages the load at the server by considering the current status of the all available VMs for assigning the incoming requests intelligently. The VM-assign load balancer mainly focuses on the efficient utilization of the resources/VMs. The algorithm distributes the load in such a manner that under / over utilization (VMs) situations will not arise. When compared to previous Active-VM load balance algorithm, the load was not properly distributed on the VMs. The recent algorithms is designed which manages the load at the server by considering the current status of the all available VMs for assigning the incoming requests intelligently. We proposed a new algorithm in which we will apply DLT (Divisible Load Scheduling Theory) on the recent algorithm to enhance the utilization of resources/VMs. The proposed approach reduces the idle time of resources which will ultimately result in increased