Abstract
In cloud computing, a large number of resources are used like data centers, servers, computing resources (VMs), and IoT devices. One of the key challenges in cloud computing is to provide energy-efficient resource management. In this resource management, energy is one of the key parameters which is to be resolved. Resources in the cloud are using a large amount of energy and sometimes energy is wasted, so these resources are needed to make energy efficient. Energy-efficient resource management techniques help in cost reduction and improving the life of data centers. This paper discusses energy management techniques used in cloud and proposes particle swarm optimization (PSO)-based VM allocation model to reduce energy consumption on hosts.
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References
Zakarya, M., Gillam, L.: Energy efficient computing, clusters, grids and clouds: a taxonomy and survey. Sustain. Comput. Inf. Syst. 14, 13–33 (2017)
Sharma, Y., Javadi, B., Si, W., Sun, D.: Reliability and energy efficiency in cloud computing systems: survey and taxonomy. J. Netw. Comput. Appl. 74, 66–85 (2016)
Giacobbe, M., Celesti, A., Fazio, M., Villari, M., Puliafito, A.: Towards energy management in cloud federation: a survey in the perspective of future sustainable and cost-saving strategies. Comput. Netw. 91, 438–452 (2015)
Mustafa, S., Nazir, B., Hayat, A., Madani, S.A.: Resource management in cloud computing: Taxonomy, prospects, and challenges. Comput. Electr. Eng. 47, 186–203 (2015)
Kaur, T., Chana, I.: Energy efficiency techniques in cloud computing: a survey and taxonomy. ACM Comput. Surv. (CSUR) 48(2), 22 (2015)
Piraghaj, S.F., Dastjerdi, A.V., Calheiros, R.N., Buyya, R.: A survey and taxonomy of energy efficient resource management techniques in platform as a service cloud. In: Handbook of Research on End-to-End Cloud Computing Architecture Design, p. 410 (2016)
Beloglazov, A., Buyya, R., Lee, Y.C., Zomaya, A.: A taxonomy and survey of energy-efficient data centers and cloud computing systems. In: Advances in Computers, vol. 82, pp. 47–111. Elsevier (2011)
Makaratzis, A.T., Giannoutakis, K.M., Tzovaras, D.: Energy modeling in cloud simulation frameworks. Future Gener. Comput. Syst. 79, 715–725 (2018)
Guérout, T., Monteil, T., Da Costa, G., Calheiros, R.N., Buyya, R., Alexandru, M.: Energy-aware simulation with DVFS. Simul. Model. Pract. Theory 39, 76–91 (2013)
Al-Hazemi, F.: A polymorphic green service approach for data center energy consumption management. In 2013 IEEE International Conference on Green Computing and Communications (GreenCom) and IEEE Internet of Things (iThings/CPSCom) and IEEE Cyber, Physical and Social Computing, pp. 110–117. IEEE, August 2013
Okada, T.K., Vigliotti, A.D.L.F., Batista, D.M., vel Lejbman, A.G.: Consolidation of VMs to improve energy efficiency in cloud computing environments. In: 2015 XXXIII Brazilian Symposium on Computer Networks and Distributed Systems (SBRC), pp. 150–158. IEEE, May 2015
Deng, D., He, K., Chen, Y.: Dynamic virtual machine consolidation for improving energy efficiency in cloud data centers. In: 2016 4th International Conference on Cloud Computing and Intelligence Systems (CCIS), pp. 366–370. IEEE, August 2016
Farahnakian, F., Ashraf, A., Pahikkala, T., Liljeberg, P., Plosila, J., Porres, I., Tenhunen, H.: Using ant colony system to consolidate VMS for green cloud computing. IEEE Trans. Serv. Comput. 8(2), 187–198 (2015)
Aruna, P., Vasantha, S.: A particle swarm optimization algorithm for power-aware virtual machine allocation. In: 2015 6th International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1–6. IEEE, July 2015
Chou, L.D., Chen, H.F., Tseng, F.H., Chao, H.C., Chang, Y.J.: DPRA: dynamic power-saving resource allocation for cloud data center using particle swarm optimization. IEEE Syst. J. (2016)
Monil, M.A.H., Qasim, R., Rahman, R.M.: Energy-aware VM consolidation approach using combination of heuristics and migration control. In: 2014 Ninth International Conference on Digital Information Management (ICDIM), pp. 74–79. IEEE, September 2014
Alboaneen, D.A., Pranggono, B., Tianfield, H.: Energy-aware virtual machine consolidation for cloud data centers. In: 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing (UCC), pp. 1010–1015. IEEE, December 2014
Monil, M.A.H., Malony, A.D.: QoS-aware virtual machine consolidation in cloud data center. In: 2017 IEEE International Conference on Cloud Engineering (IC2E), pp. 81–87. IEEE, April 2017
Schutte, J.F.: The particle swarm optimization algorithm. In: Structural Optimization (2005)
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Chaudhrani, V., Acharya, P., Chudasama, V. (2019). Energy Aware Computing Resource Allocation Using PSO in Cloud. In: Satapathy, S., Joshi, A. (eds) Information and Communication Technology for Intelligent Systems . Smart Innovation, Systems and Technologies, vol 107. Springer, Singapore. https://doi.org/10.1007/978-981-13-1747-7_49
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DOI: https://doi.org/10.1007/978-981-13-1747-7_49
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