• R .Amrutha
• M.G. Jayashri
• E.Kavitha
• Kavitha subramani

Many resource allocation algorithms have been investigated because resource management is critical for better performance in cloud systems. The data centres in the distributed green clouds are shared by their application types to achieve high performance and low cost in the existing system. The proposed system uses task scheduling and resource optimization method by having three types of virtual machines namely hot, warm, and cold. Job allocation takes the priority from hot to warm machines only when no more hot machines are available. Warm Machines are kept inactive state until the work is allocated. We need to assign job to the machines. Based on our concept, jobs are divided into small part so that the job will be completed fast. Initially the divided jobs are assigned to the hot machine. If hot machine is full, then it is assigned in warm machine. The same concept is implemented in cold machine too. Usually the cold machine will be idle most of the time. If any of the job assigned in hot machine done its job then the job from warm or cold machine will automatically be migrated to hot machine. This concept helps us to reduce the time consumption; decreases power usage and also avoid congestion too.

Resource migration, Green Network, Global queue.

"Dynamic Resource Assignment and Migration for Effective Cloud Utilization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 4, page no.62-67, April-2021, Available :http://www.jetir.org/papers/JETIRES06014.pdf

"Dynamic Resource Assignment and Migration for Effective Cloud Utilization", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 4, page no. pp62-67, April-2021, Available at : http://www.jetir.org/papers/JETIRES06014.pdf