High Performance Energy-Aware Cloud Computing: A Scope of Future Computing
Shailesh Saxena1, Mohammad Zubair Khan2, Ravendra Singh3
1Shailesh Saxena, Research Scholar, MJP Rohilkhand University, Bareilly, India
2Mohammad Zubair Khan, Department of CS, College of Computer Science and Engg., Taibah University, Medina, KSA.
3Ravendra Singh, Department of CS and IT, MJP Rohilkhand University, Bareilly, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on April 10, 2020. | PP: 667-683 | Volume-9 Issue-6, April 2020. | Retrieval Number: E3029039520/2020©BEIESP | DOI: 10.35940/ijitee.E3029.049620
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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 publication discusses high-performance energy aware cloud (HPEAC) computing state-of-the-art strategies to acknowledgement and categorization of systems and devices, optimization methodologies, and energy / power control techniques in particular. System types involve single machines, clusters, networks, and clouds, while CPUs, GPUs, multiprocessors, and hybrid systems are known to be device types. Objective of Optimization incorporates multiple calculation blends, such as “execution time”, “consumption of energy”& “temperature” with the consideration of limiting power/energy consumption. Control measures usually involve scheduling policies, frequency based policies (DVFS, DFS, DCT), programmatic API’s for limiting the power consumptions (such as” Intel- RAPL”,” NVIDIA- NVML”), standardization of applications, and hybrid techniques. We address energy / power management software and APIs as well as methods and conditions in modern HPEACC systems for forecasting and/or simulating power/energy consumption. Eventually, programming examples are discussed, i.e. programs & tests used in specific works. Based on our study, we point out some areas and there significant issues related to tools & technologies, important for handling energy aware computations in HPEAC computing environment.
Keywords: Energy, Temperature, Control, Policies, Cloud
Scope of the Article: Robotics and control