Abstract
Task consolidation is a process to increase usage of cloud computing resources. Maximizing the utilization of resources provides numerous advantages like the customization of IT services, quality of service, and candid services. However, increasing the utilization of resources does not mean optimal energy usage. Most of the researches indicate that the consumption of energy and the utilization of resources in clouds are exceptionally conjugated. The idea of performing the consolidation of tasks is to decrease the usage of resources in order to save energy, while another effort is to maintain a balance between the usage of energy and utilization of resources. In this work, we propose an architecture for minimizing energy consumption in cloud. We used an algorithm for task consolidation in the proposed architecture to minimize energy consumption.
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Giri, S.K., Panigrahi, C.R., Pati, B., Sarkar, J.L. (2019). A Novel Approach to Minimize Energy Consumption in Cloud Using Task Consolidation Mechanism. In: Panigrahi, C., Pujari, A., Misra, S., Pati, B., Li, KC. (eds) Progress in Advanced Computing and Intelligent Engineering. Advances in Intelligent Systems and Computing, vol 714. Springer, Singapore. https://doi.org/10.1007/978-981-13-0224-4_12
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DOI: https://doi.org/10.1007/978-981-13-0224-4_12
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