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Virtual Machine Load balancing in Cloud Environment: A Review

Jyotismita Talukdar, Shibani Singh, Junumoni Khakhlari, Bidyashor Chingtham, M M Yamuna Devi

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Abstract

With the onset of tremendous use of Cloud Computing technologies across the globe, there has been an extensive increase in the number of users of these technologies in a very short span of time. Due to this fact, the load of balancing the cloud services and products have been on a steep increase along with its research opportunities. Cloud id generally dependent on dominant datacenters that provide services to a large number of users. So to achieve reliability and to boost the enactment of the cloud, proper load balancing should be in place and this is done by featuring a load balancer with the datacenter. To provide cloud service effectively, many algorithms were proposed for sending user’s request to cloud resources. A set of several load balancing algorithms has been reviewed in this paper along with the implementation details using Infrastructure as a framework and a summary of these techniques has been discussed extensively. The paper also describes the implementation of a virtual environment for cloud computing for a WAM Load Balancing Algorithm using several tools like CloudSim. This algorithm is used with the datacenter to balance the load request effectively assigning a weight between the available virtual machines. This improves the performance by balancing the data processing time against the response time.

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What this paper is about

With the onset of tremendous use of Cloud Computing technologies across the globe, there has been an extensive increase in the number of users of these technologies in a very short span of time. Due to this fact, the load of balancing the cloud services and products have been on a steep increase along with its research opportunities. Cloud id generally dependent on dominant datacenters that provide services to a large number of users. So to achieve reliability and to boost the enactment of the cloud, proper load balancing should be in place and this is done by featuring a load balancer with the datacenter. To provide cloud service effectively, many algorithms were proposed for sending user’s request to cloud resources. A set of several load balancing algorithms has been reviewed in this paper along with the implementation details using Infrastructure as a framework and a summary of these techniques has been discussed extensively. The paper also describes the implementation of a virtual environment for cloud computing for a WAM Load Balancing Algorithm using several tools like CloudSim. This algorithm is used with the datacenter to balance the load request effectively assigning a weight between the available virtual machines. This improves the performance by balancing the data processing time against the response time.

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Available abstract

With the onset of tremendous use of Cloud Computing technologies across the globe, there has been an extensive increase in the number of users of these technologies in a very short span of time. Due to this fact, the load of balancing the cloud services and products have been on a steep increase along with its research opportunities. Cloud id generally dependent on dominant datacenters that provide services to a large number of users. So to achieve reliability and to boost the enactment of the cloud, proper load balancing should be in place and this is done by featuring a load balancer with the datacenter. To provide cloud service effectively, many algorithms were proposed for sending user’s request to cloud resources. A set of several load balancing algorithms has been reviewed in this paper along with the implementation details using Infrastructure as a framework and a summary of these techniques has been discussed extensively. The paper also describes the implementation of a virtual environment for cloud computing for a WAM Load Balancing Algorithm using several tools like CloudSim. This algorithm is used with the datacenter to balance the load request effectively assigning a weight between the available virtual machines. This improves the performance by balancing the data processing time against the response time.

Key concepts: Cloud computing, Load balancing (electrical power), CloudSim, Computer science, Virtual machine, Distributed computing, Cloud testing, Round-robin DNS

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