An Optimized Model for Energy Efficiency on Cloud System using PSO & CUCKOO Search Algorithm
Shanky Goyal1, Shashi Bhushan2
1Shanky Goyal, Research Scholar, Department of Computer Science, Assistant Professor in Chandigarh Engineering College, Landran.
2Shashi Bhushan, Professor, IT Deprtment, CEC, Landran (Punjab), India.
Manuscript received on 09 August 2019 | Revised Manuscript received on 17 August 2019 | Manuscript Published on 26 August 2019 | PP: 138-144 | Volume-8 Issue-9S August 2019 | Retrieval Number: I10220789S19/19©BEIESP DOI: 10.35940/ijitee.I1022.0789S19
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing is one of the growing technologies, these days. Cloud computing is a paradigm that is surrounded by multiple resources, which helps in resource utilization. Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (Saas) are named as services of cloud computing. In the IaaS models, users can rent infrastructure of the data center as a service. Some of the examples of IAAS are Google Compute Engine (GCE) and Amazon Web Service (AWS). In the PaaS models, users can take services like operating system and database. Some of the examples of PAAS are Microsoft Azure and Google App Engine. In the SaaS models, users can access and install application software and databases via Internet. Examples of SAAS are Citrix GoToMeeting and Google Docs. In this paper algorithms named as PSO and CSA are discussed The objective of optimization for energy consumption on cloud has also been discussed in the paper. Along with the optimization techniques, the detailed literature reviews have been presented. To achieve the proposed work, CloudSim simulators and standard programming languages have been used. The performance of the proposed work will be analyzed by using the various performance parameters such as response time, energy efficiency and execution time.
Keywords: Cloud Computing, Load Balancing, Energy Efficiency, Data Center, CSA, PSO.
Scope of the Article: Evaluation of Glazing Systems for Energy Performance