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Providing a Cloud Broker-based Approach to Improve the Energy Consumption and Achieve a Green Cloud Computing

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2016
Authors:
Tina Samizadeh Nikoui, Sam Jabbehdari, Alireza Bagheri
10.5120/ijca2016908715

Tina Samizadeh Nikoui, Sam Jabbehdari and Alireza Bagheri. Article: Providing a Cloud Broker-based Approach to Improve the Energy Consumption and Achieve a Green Cloud Computing. International Journal of Computer Applications 138(1):42-49, March 2016. Published by Foundation of Computer Science (FCS), NY, USA. BibTeX

@article{key:article,
	author = {Tina Samizadeh Nikoui and Sam Jabbehdari and Alireza Bagheri},
	title = {Article: Providing a Cloud Broker-based Approach to Improve the Energy Consumption and Achieve a Green Cloud Computing},
	journal = {International Journal of Computer Applications},
	year = {2016},
	volume = {138},
	number = {1},
	pages = {42-49},
	month = {March},
	note = {Published by Foundation of Computer Science (FCS), NY, USA}
}

Abstract

Today`s, cloud computing has been widely accepted in the industry. With the increasing popularity of cloud computing, many users and companies want to use and offer cloud computing services. The growth of cloud computing services may lead to consume a huge amount of energy and emit considerable amount of carbon dioxide. In recent years raising concerns about global warming and environment impact of greenhouse gases emission has led many researchers to engage in research in the field of green and energy aware computing. In this paper, “two phase carbon aware cloud broker” has been proposed that attempt to minimize energy and carbon by considering the energy and carbon efficiency of data centers.

References

  1. A.Beloglazov, J.Abawajy, R.Buyyaa, "Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing," Future Generation Computer Systems, no. 28, pp. 755–768, 2012.
  2. S.Patil, P.Pattenshetti, "Overview of Green Cloud Architecture," International Journal of Computer Applications, pp. 9-12, 2014.
  3. A.Khosravi, S.K.Garg, R.Buyya, "Energy and Carbon Effcient Placement of Virtual Machines in Distributed Cloud Data Centers," 2013.
  4. M.Uddin, A.Rahman, "Energy efficiency and low carbon enabler green IT framework for data centers considering green metrics," Renewable and Sustainable Energy Reviews, vol. 16, no. 6, pp. 4078–4094, August 2012.
  5. S.Jing, Sh.Ali, K.She, Y.Zhong, "State-of-the-art research study for green cloud computing," The Journal of Supercomputing, December 2011.
  6. J.Yuventi, R.Mehdizadeh, "A critical analysis of Power Usage Effectiveness and its use incommunicating data center energy consumption," Energy and Buildings, vol. 64, pp. 90–94, 2013.
  7. S.Murugesan, G.Gangadharan, "Green Cloud Computing and Environmental Sustainability" UK: Wiley Press, 2012, pp. 315-340.
  8. F.A.Moghaddam, P.Lago, P.Grosso, "Energy-Efficient Networking Solutions in Cloud-Based Environments: A Systematic Literature Review," ACM Computing Surveys, vol. 47, May 2015.
  9. S.K.Garg, C.S.Yeo, R.Buyya, "Green Cloud Framework for Improving Carbon Efficiency of Clouds," in Euro-Par 2011 Parallel Processing. Bordeaux, France: Springer Berlin Heidelberg, 2011, pp. 491–502.
  10. F.F.Moghaddam, M.Cheriet, K.K.Nguyen, "Low Carbon Virtual Private Clouds," in IEEE 4th International Conference on Cloud Computing, 2011, pp. 259-166.
  11. N.Quang-Hung, P.Dac Nien, N.Hoai Nam, N.Huynh Tuong, N.Thoai, "A Genetic Algorithm for Power-Aware Virtual Machine Allocation in Private Cloud," Information and communication technology lecture notes in computer science, vol. 7804, pp. 183-191, 2013.
  12. A.Kaur, S.Kinger, "Increasing Cloud Usage: A Shift towards, Green Clouds" International Journal of Computer Applications, vol. 67, pp. 28-32, April 2013.
  13. T.Mastelic, A.Oleksiak, H.Claussen, I.Brandic, J.Pierson, A.V.Vasilakos, "Cloud Computing: Survey on Energy Efficiency," ACM Computing Surveys, vol. 47, 2014.
  14. D.Kumar, B.Sahoo, B.Mondal, T.Mandal, "A Genetic Algorithmic approach for Energy Efficient," International Journal of Computer Applications, vol. 118, pp. 1-6, May 2015.
  15. F.Kong, X.Liu, "A Survey on Green-Energy-Aware Power Management for Datacenters", ACM Computing Surveys. Vol. 47, No. 2, Article 30, 2014
  16. D.M.Quan, A.Somov, C.Dupont, "Energy Usage and Carbon Emission Optimization Mechanism for Federated Data Centers," in Energy Efficient Data Centers. Madrid, Spain: Springer Berlin Heidelberg, 2012, pp. 129-140.
  17. L.Liu, H.Wang, X.Liu, X.Jin, W.He, Q.Wang, Y.Chen, "GreenCloud: A New Architecture for Green Data Center," in 6th International Conference IndustrySession on Autonomic Computing and Communications Industry Session (ICAC-INDST’09), New York, 2009, pp. 29–38.
  18. G.Sun, V.Anand, D.Liao, C.Lu, X.Zhang, N.Bao, "Power-Efficient Provisioning for Online Virtual Network Requests in Cloud-Based Data Centers," Systems Journal, vol. 9, no. 2, pp. 427 - 441, 2013.
  19. I.Goiri, K.Le, M.E.Haque, R.Beauchea, T.D.Nguyen, J.Guitart, J.Torres, R.Bianchini, "GreenSlot: Scheduling Energy Consumption in Green Datacenters," in International Conference for High Performance Computing, Networking, Storage and Analysis, Seattle, 2011, pp. 1–11.
  20. P.X.Gao, A.R.Curtis, B.Wong, and S. Keshav, "It’s Not Easy Being Green," ACM SIGCOMM Computer Communication Review - Special october issue SIGCOMM '12, vol. 42, no. 4, pp. 221-222, October 2012.
  21. F. Larumbe, B.Sanso, "A Tabu Search Algorithm for the Location of Data Centers and Software Components in Green Cloud Computing Networks," IEEE Transactions on Cloud Computing, vol. 1, no. 1, pp. 22-35, JANUARY-JUNE 2013.
  22. F.lue, J.Tong, J.Mao, R.Bohen, J.Messina, L.Badger, D.Leaf. (2011, september) Nist. [Online]. www.nist.gov/customercf/get_pdf.cfm?pub_id=909505
  23. S.Greenberg, E.Mills, B.Tschudi, P.Rumsey, B.Myatt, "Best practices for data centers: lessons learned from benchmarking 22 data centers," ACEEE summer study on energy efficiency in buildings. PacificGrove, 2006.
  24. "Report to Congress on Server and datacenter energy efficiency Public law," US Environmental Protection Agency, Energy Star Program August 2, 2007.
  25. J.Choa, T.Limb, B.S.Kimb, "Viability of datacenter cooling systems for energy efficiency in temperate or subtropical regions: Case study," Energy and Buildings, no. 55, pp. 189–197, 2012.
  26. M.T.Chaudhry, T.C.Ling, A.Manzoor, S.A.Hussain, J.Kim, "Thermal-Aware Scheduling in Green Data Centers," ACM Computing Surveys, vol. 47, February 2015.
  27. C.Belady, D.Azevedo, M.Patterson, J.Pouchet, R.Tipley. (2010) http://www.thegreengrid.org/. [Online]. http://www.thegreengrid.org/~/media/WhitePapers/Carbon%20Usage%20Effectiveness%20White%20Paper_v3.pdf?lang=en
  28. L.Minas, B.Ellison, "Energy Efficiency for Information Technology: How to Reduce Power Consumption in Servers and Data Centers," Intel Press, 2009.
  29. M.Lenzen, "Current State of Development of Electricity-Generating Technologies," A Literature Review Energies, no. 3, pp. 462-591, 2010.
  30. R.Buyya, R.Ranjan, R.N.Calheiros, "Modeling and simulation of scalable cloud computing environments and the cloudsim toolkit: Challenges and opportunities," in High Performance Computing & Simulation HPCS0'09. International Conference IEEE, 2011, pp. 1-11.
  31. J.Li, M.Qiu, Z.Ming, G.Quanc, X.Qin, Z.Gue, "Online optimization for scheduling preemptable tasks on IaaS cloud systems," Journal of Parallel Distributed Computing, pp. 666-677, 2012.

Keywords

Cloud computing, carbon emissions, energy aware.