Abstract
Cloud computing is a service delivery model that provides computing resources (RAM, CPU, Memory, etc.), which are highly elastic and can grow or shrink dynamically according to the need of client. Virtual machine migration (VMM) plays very important role to provide the resource elasticity to cloud environment. VMM generates considerable amount of overheads which can degrade overall performance of cloud environment. So, it becomes important to decide when migration should take place. In this paper, we have introduced real-time resource monitoring (RTRM) system for detection of a hotspot host. We have developed three modules: (1) monitoring module, (2) analysis module, and (3) VMM module for detection of hotspot. We have compared the result of proposed RTRM with sandpiper and artificial intelligence technique such as neural network predictor. Experimental result shows that RTRM is able to detect the hotspot in first 20 s of time with the accuracy of 80% as compared to sandpiper with 64% accuracy and neural network predictor with 76% accuracy in the same time frame.
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