Abstract
A cloud computing environment is composed of numerous heterogeneous resources and for efficient utilization of resources endorses virtualization. In virtualization, a cloud provider creates multiple instances of virtual machine which can be configured on a single host, hence increases the resource utilization. Though this can be further enhanced through the consolidation process, it requires selecting appropriate VM allocation and selection policy that work together to complete the process. To achieve the consolidation process with the physical data center is quite challenging therefore a virtual data center can be created with the help of simulators where by tasks can be simulated with varied configurations in different simulation environments. The simulation gives output corresponding to the simulation environment and is based on the performance metrics. In this work, a study is carried out on one such simulator named as CloudSim and analysis of its VM allocation along with selection policies. These policies will be implemented using PlanetLab workload to conclude about their performance based on few metrics.
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Sindhu, R., Siwach, V., Sehrawat, H. (2023). Performance Analysis of Selection and Migration for Virtual Machines in Cloud Computing. In: Mishra, A., Gupta, D., Chetty, G. (eds) Advances in IoT and Security with Computational Intelligence. ICAISA 2023. Lecture Notes in Networks and Systems, vol 755. Springer, Singapore. https://doi.org/10.1007/978-981-99-5085-0_13
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DOI: https://doi.org/10.1007/978-981-99-5085-0_13
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