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- W4385871808 abstract "Cloud users request the resources from the data center in the form of a virtual machines(VM). These virtual machines have to be created inside the physical machines(PM) of a data center. The creation of virtual machines in physical machines is a process of Virtual Machine Placement(VMP)[11]. Most existing VMP algorithms does not consider the physical processor core (pCPU) capacity of a physical machine for placing the virtual machines which leads to physical machine overload and pCPU overload[1], [2]. Also, the CPU and memory resources are not utilized in a balanced manner. This research work has proposed a Multi-Core Aware Balanced Virtual Machine Placement algorithm(MCAB-VMP) considering the pCPU capacity of a physical machine, so that the physical machine overload is reduced. Also, our algorithm (MCAB-VMP) focuses on two dimensional balanced resource utilization using vector heuristics, along with the multi-core aware technology. We used CloudSim simulation tool to simulate our proposed algorithm using GoCJ(Google Cloud Jobs) instances configurations. Our MCAB-VMP algorithm improves resource utilization and reduces physical machine overload by 2% and pCPU overload by 1%." @default.
- W4385871808 created "2023-08-17" @default.
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- W4385871808 date "2023-07-19" @default.
- W4385871808 modified "2023-10-17" @default.
- W4385871808 title "Two Dimensional Balanced Resource Utilization Using Vector Heuristics for Multi-Core Aware Virtual Machine Placement Algorithms in a Cloud Environment" @default.
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- W4385871808 doi "https://doi.org/10.1109/icecaa58104.2023.10212221" @default.
- W4385871808 hasPublicationYear "2023" @default.
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