Abstract
Due to the growing demand for computational power, cloud computing is becoming one of the most attractive emerging technologies. It provides on-demand access to massive computing resources and services for the user through the data center. However, cloud data centers consume enormous electric energy to provide various services. Therefore, energy-efficient resource management in distributed cloud data centers is inevitable from economic and environmental perspectives. The challenge of delivering services with efficient resource utilization and low power consumption opens up a new direction. Virtual machine consolidation (VMC) is a powerful tool that ensures the provision of services without compromising QoS with a lesser active physical server. This paper presents a chronology of recent improvements through a systematic and comprehensive survey of existing VMC approaches and their implementation techniques, competitive algorithms, and performance metrices. Further, the performance of benchmark heuristics is evaluated on CloudSim.
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Jain, P., Sharma, S.K. (2023). Virtual Machine Consolidation Techniques to Reduce Energy Consumption in Cloud Data Centers: A Survey. In: Ranganathan, G., Papakostas, G.A., Rocha, Á. (eds) Inventive Communication and Computational Technologies. ICICCT 2023. Lecture Notes in Networks and Systems, vol 757. Springer, Singapore. https://doi.org/10.1007/978-981-99-5166-6_58
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DOI: https://doi.org/10.1007/978-981-99-5166-6_58
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