CFP last date
22 April 2024
Reseach Article

Green Computing and Strategies for Energy Efficient Cloud Management

by Rahul Nijhawan, Mukesh Rana
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Number 2
Year of Publication: 2016
Authors: Rahul Nijhawan, Mukesh Rana
10.5120/ijca2016911460

Rahul Nijhawan, Mukesh Rana . Green Computing and Strategies for Energy Efficient Cloud Management. International Journal of Computer Applications. 150, 2 ( Sep 2016), 9-14. DOI=10.5120/ijca2016911460

@article{ 10.5120/ijca2016911460,
author = { Rahul Nijhawan, Mukesh Rana },
title = { Green Computing and Strategies for Energy Efficient Cloud Management },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 150 },
number = { 2 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 9-14 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume150/number2/26064-2016911460/ },
doi = { 10.5120/ijca2016911460 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:54:49.334189+05:30
%A Rahul Nijhawan
%A Mukesh Rana
%T Green Computing and Strategies for Energy Efficient Cloud Management
%J International Journal of Computer Applications
%@ 0975-8887
%V 150
%N 2
%P 9-14
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The term Green Computing relates to processing this is certainly eco-friendly it's also termed as green IT. Green computing is renewable to environment as the significant objectives are to reduce the usage dangerous products, maximizing energy efficiency throughout the product‘s lifetime, and advertise the recyclability or biodegradability of factory waste. Green processing also focuses on reducing the resource usage and disposing this is certainly accountable of waste. The investigation on cloud processing is still at an early on stage although cloud computing has quickly appeared as a widely accepted computing paradigm. Cloud suffers that are computing different challenging problems pertaining to security, computer software frameworks, quality of solution, standardization, and power usage. Efficient energy management is just one of the most researches that is challenging. The core services in cloud computing system are the SAAS (computer software as an ongoing solution), PAAS (Platform as a site), and IAAS (Infrastructure as a Service). In this report, we study state-of-the art strategies and analysis pertaining to power conserving in the IAAS of a cloud computing system, which consumes an enormous element of total power in a cloud system that is computing. Some possible solutions for building green cloud processing are proposed at the conclusion. Our aim is to supply an improved knowledge of the look difficulties of energy management into the IAAS of a cloud system that is processing.

References
  1. Armbrust, Michael, Armando Fox, Rean Griffith, Anthony D. Joseph, Randy Katz, Andy Konwinski, Gunho Lee et al. "A view of cloud computing." Communications of the ACM 53, no. 4 (2010): 50-58.
  2. Zhang, Qi, Lu Cheng, and Raouf Boutaba. "Cloud Computing: state-of-the-art and research challenges." Journal of internet services and applications 1, no. 1 (2010): 7-18.
  3. Pandey, Suraj, Linlin Wu, Siddeswara Mayura Guru, and Rajkumar Buyya. "A particle swarm optimization-based heuristic for scheduling workflow applications in cloud computing environments." In Advanced information networking and applications (AINA), 2010 24th IEEE international conference on, pp. 400-407. IEEE, 2010.
  4. Bessai, Kahina, Samir Youcef, Ammar Oulamara, Claude Godart, and Selmin Nurcan. "Bi-criteria workflow tasks allocation and scheduling in Cloud Computing Environments. "In Cloud Computing (CLOUD), 2012 IEEE 5th International Conference on, pp. 638-645. IEEE, 2012.
  5. Shen, Zhiming, Sethuraman Subbiah, Xiaohui Gu, and John Wilkes. "Cloudscale: elastic resource scaling for multi-tenant cloud systems." In Proceedings of the 2nd ACM Symposium on Cloud Computing, p. 5. ACM, 2011.
  6. Baliga, Jayant, Robert WA Ayre, Kerry Hinton, and Rodney S. Tucker. "Green cloud computing: Balancing energy in processing, storage, and transport." Proceedings of the IEEE 99, no. 1 (2011): 149-167.
  7. Hulkury, Mohammad Naiim, and Mohammad Razvi Doomun. "Integrated green cloud computing architecture." In Advanced Computer Science Applications and Technologies (ACSAT), 2012 International Conference on, pp. 269-274. IEEE, 2012.
  8. Buyya, Rajkumar, Anton Beloglazov, and Jemal Abawajy. "Energy-efficient management of data center resources for cloud computing: a vision, architectural elements, and open challenges." arXiv preprint arXiv:1006.0308 (2010).
  9. Garg, Saurabh Kumar, Chee Shin Yeo, and Rajkumar Buyya. "Green cloud framework for improving carbon efficiency of clouds." In Euro-Par 2011 Parallel Processing, pp. 491-502. Springer Berlin Heidelberg, 2011.
  10. Garg, Saurabh Kumar, and Rajkumar Buyya. "Green cloud computing and environmental sustainability." Harnessing Green IT: Principles and Practices (2012): 315-340.
  11. Kliazovich, Dzmitry, Pascal Bouvry, and Samee Ullah Khan. "GreenCloud: a packet-level simulator of energy-aware.
Index Terms

Computer Science
Information Sciences

Keywords

Green Cloud Computing Energy Conservation Dynamic Voltage Frequency Scaling.