Capacity Planning Through Monitoring of Context Aware Tasks at IaaS Level of Cloud Computing

Cloud Computing is the exercise of using a network of remote servers held on the Internet to store, manage, and process data which have the characteristics as an elasticity, scalability or scalable resource sharing managed by the resource management. Even the growing demand of cloud computing has radically increased the energy consumption of the data centres, which is a critical scenario in the era of cloud computing, hence the resources has to be used efficiently, which ultimately will minimise the energy. Resource management itself will get the data from resource monitoring and resource prediction for the smooth conduction of the tasks and its allocated resources. In this paper the monitoring mechanism in the cloud has been discussed and its results are used to trigger the prediction rule engine which provides the cloud service provider (CSP) to start allocating the resources in the efficient manner, even the concept of failure handling has been mentioned based upon the certain parameter which will also inform the CSP to handle the failure task and try to mitigate this and again re schedule the failed task.