An Optimal Energy Consumption Based Resource Management in Mobile Cloud Computing
M. R. Sudha1, C. P. Sumathi2, A. Saravanakumar3
1M. R. Sudha, Department of Computer Applications, Faculty of Science and Humanities, SRM Institute of Science and Technology, Kattankulathur Chennai (Tamil Nadu), India.
2Dr. C. P. Sumathi, Department of Computer Science, S.D.N.B. Vaishnav College for Women Name, Chromepet, Chennai (Tamil Nadu), India.
3Dr. A. Saravanakumar, Department of Physics, Easwari Engineering College, Ramapuram, Chennai (Tamil Nadu), India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 12 August 2019 | Manuscript Published on 27 August 2019 | PP: 103-109 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B10180782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1018.0782S419
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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: This paper focused on optimal energy-efficient resource allocation management in the mobile cloud services. A resource management technique depicts the various resources reservation or blocking. Energy wastage is diminished, and revenue is amplified for mobile cloud providers. The recommended method holds two stages: a) beginning stage, the task impairment, delay time, resource utilization for every task has been individually calculated, and the enthalpy was measured, and b) the second stage, the enthalpy-based Optimal Energy Allocation Supervision (OEAS) algorithm was used to optimize the resources to the powerful resource management. In this paper, the problem of the limited and relatively small battery energy power in today’s mobile devices has been restricted functionality which can include into these platforms. Diverse mobile cloud suppliers helpfully share the resources in a pool for improving resource allocation based on the users demand and distribute revenue in mobile cloud providers. The recent upgraded research in MCC from an existing work has been examined on the issues of managing resources and vital challenges in energy consumption. The new hazing technology of mobile users and robust business interests in mobile cloud environment which escort the innovative progress in mobile cloud computing. It operates intense energy methods with a low cost. This paper exhibits the research extent and classified various issues in energy saving in mobile clouds. Later, it analyzes the presented research results and mechanisms which establish its strengths and weaknesses. Energy consumption is a major problem being faced by mobile cloud computing. This paper recognizes and explains the open issues and idea of future research. The main objective is to reduce energy consumption, increase energy efficiency in computing devices and resource allocations management as well as in their executions. Energy conservation can be the optimal solution which is minimized by using less of an energy service.
Keywords: Energy Resource Allocation, Mobile Cloud Computing, OEAS Algorithm.
Scope of the Article: Cloud Computing