Improved Service Broker Algorithm Based On Weighted Moving Average Forecast Model for Cloud Computing

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Provided by: International Journal of Computer Science and Mobile Computing (IJCSMC)
Topic: Cloud
Format: PDF
Proper load balancing is an important aspect while calculating efficiency of cloud computing environment. In Cloud Computing Scenario Load Balancing is composed of selecting proper Data Center for upcoming request (Service Broker) and Virtual machine management at individual Data Center. In this paper, the authors proposed and implemented Predictive Service Broker (DC selection) dynamic algorithm based on Improved Weighted Moving Average Forecast Model. This algorithm is developed by combining advantages of both proximity service broker algorithm and DC selection algorithm based on weighted moving average prediction model. This study concludes that proposed predictive DC selection algorithm mainly focus on reducing service response time observed at client side.
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