Reducing the Operative Resource Monitoring Mechanism Overhead in Cloud: An IaaS Perspective
Proceedings of 3rd International Conference on Internet of Things and Connected Technologies (ICIoTCT), 2018 held at Malaviya National Institute of Technology, Jaipur (India) on March 26-27, 2018
7 Pages Posted: 9 May 2018
Date Written: April 27, 2018
Today we are in the era of distributed system and cloud computing is the best example for the same. Resource management is an important issue in cloud computing, we need to keep track of the available resources in cloud, so that we can give services to user to fulfil their requirement. Which leads in helping to generate maximum revenue, lower power consumption, carbon emission and ultimately leads to green computing. So with the help of resource monitoring we can get the data about how, when, in what amount of resources for a particular cloud and the user. With effective resource monitoring, by minimizing some monitoring units we can reduce the cost of monitoring in terms of computation and power consumption. Our main objective is to reduce the monitoring technique, so that the amount of computation and power consumption can be saved which will lead to smart and green computing. In this research paper we are discussing about the algorithm that will reduce the activation period of the monitoring and also we had discussed the Hidden Markov Model (HMM) for the decision making in monitoring aspect.
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