To support seamless internet service concurrently to this huge amount of user around the world, supercomputer sites and large data centers are established. Its part of a fundamental requirement of all the human being. Now a day’s living without internet is impossible.
#Definition of throttled simulator#
Cloud Analyst simulator is used for simulation and the result shows the proposed algorithm improves the response time and resource utilization of the cloud computing environment. When a request arrives the load balancer pop the front virtual machine from available queue, assign the request to it and then push it too busy queue. One of the queues is used to store available virtual machines and the other queue, priority based, is used to store busy virtual machines. The proposed algorithm improves performance of Throttled algorithm queues introducing two queues. We compare performance of the three well-known algorithms: Equally Spread Current Execution, Round Robin and Throttled load balancing and the result shows Throttled performs better that the two but it still need improvement. This needs to be done cautiously because of failure in any one of the virtual machines can lead to the unavailability. One of the techniques to overcome this challenge is using load balancing. Such a rapid increased workload overloads the server and leads to performance inefficiency. The elasticity of resources without paying a premium increased the traffic on the internet rapidly. Cloud Computing has many issues associated with it, out of which performance is a major challenge. The emergence of Cloud Computing has reduced the initial investment from the service providers’ point of view and this, in turn, results in low-cost service for service users. Users of Cloud Computing has increased exponentially due to specific characteristics like pay per usage and use anywhere, any time without human intervention. The service and resource delivery model through high-speed internet is called as Cloud Computing.
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