A Study and Enhancement on Storage and Energy Efficient Using Cloud Computing
G.Charles Babu1, Y.Rokesh Kumar2, Balasani Venkata Ramudu3
1G.Charles Babu, Professor, Department of Computer Science Engineering, Malla Reddy Engineering College, Maisammaguda, Secunderabad, Telangana, India.
2Y.Rokesh Kumar, Assistant Professor, Department of Computer Science Engineering, Malla Reddy Engineering College, Maisammaguda, Secunderabad, Telangana, India.
3Balasani Venkata Ramudu, Assistant Professor, Department of Computer Science Engineering, Malla Reddy Engineering College, Maisammaguda, Secunderabad, Telangana, India.
Manuscript received on 05 March 2019 | Revised Manuscript received on 12 March 2019 | Manuscript Published on 20 March 2019 | PP: 287-290 | Volume-8 Issue- 4S2 March 2019 | Retrieval Number: D1S0063028419/2019©BEIESP
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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 the most recent “evolving paradigm” that has transformed the way by which the Information Technology based services and facilities can be offered explicitly. It has renovated the model or technique of storing and managing data for scalable, real time, internet based applications, programs soft wares and resources satisfying end users’ needs appropriately. Owing to the requirement of energy savings, several approaches to location sensing based energy-efficient solutions have been explored. The power consumption quantity of these infrastructures have gradually reached 1.5% from 1.1% of the total electricity consumed across the entire globe, and is expected to rise even more than this. Firstly, we state a systematic methodology for exploring the energy efficiency of most significant data center domains, including the utility server and network hardware equipment, as well as cloud management systems and the corresponding appliances consisting of a software package that can be predominantly utilized by end users. Secondly, we utilize the above mentioned approach for analyzing the already available scientific implementation and industrial literature investigations on state-of-the-art practices in the data centers and their equipment. Finally, we extract the existing practical challenges faced during implementation and highlight futuristic advancement directions.
Keywords: Cloud Computing, Energy Efficiency.
Scope of the Article: Computer Science and Its Applications