A Study on Various Techniques for Energy Conservation in Data Centers for Green Computing

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
  
© 2017 by IJETT Journal
Volume-46 Number-1
Year of Publication : 2017
Authors : I.G.Hemanandhini, C.Ranjani
DOI :  10.14445/22315381/IJETT-V46P201

Citation 

I.G.Hemanandhini, C.Ranjani "A Study on Various Techniques for Energy Conservation in Data Centers for Green Computing", International Journal of Engineering Trends and Technology (IJETT), V46(1),1-5 April 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
Cloud computing is a cost effective infrastructure that affords users to run various applications without the necessity to deploy necessary hardware to run those applications. The virtualization technology provides this opportunity. Even small organizations started to use cloud solutions for their customers. Cloud can host a variety of applications that run for seconds to several hours in pay we use manner. This led to the establishment of more data centers that resulted in high energy consumption to process those cloud services. High energy consumption causes environmental drawbacks like carbon emission which results in Global warming and also decreases the revenue. This work discusses problems of high power/energy consumption. There are several techniques to minimise the power consumed in the data centers and they are briefly discussed in this work.

 References

[1]Benini et al “Thermal and Energy Management of High-Performance Multicores: Distributed and Self-Calibrating Model-Predictive Controller” IEEE transactions on parallel and distributed systems.
[2] Daniel Guimaraes Do Lago, Edmundo R.M.Maderia ,Luiz Fernando Bittencourt, “Power Aware Virtual Machine Scheduimg on Clouds using Active cooling control and DVFS”, IC- Institute of Computing, University of Campinas
[3] Fahimeh Farahnakian, Adnan Ashraf, TapioPahikkala, PasiLiljeberg, JuhaPlosila, Ivan Porres, and HannuTenhunen, “Using Ant Colony System to Consolidate VMs for Green Cloud Computing” IEEE TRANSACTIONS ON SERVICES COMPUTING, VOL. 8, NO. 2, MARCH/APRIL 2015 pp- 187-198
[4] GaochaoXu, YushuangDong, Xiaodong Fu, “VM Placement Strategy Based On Distributed Parallel Ant Colony Optimization Algorithm”, Applied Mathematics & Information Sciences 2015, http://dx.doi.org/10.12785/amis/090236, pp- 873-881
[5] GeorgiosVarsamopoulos, Ayan Banerjee, and Sandeep K.S. Gupta, “Energy Efficiency of Thermal-Aware Job Scheduling Algorithms under Various Cooling Models” The Impact Laboratory, Arizona State University, Tempe, AZ 85287, USA, http://impact.asu.edu/
[6] F Ghribi, MakhloufHadji and DjamalZeghlache, “Energy Efficient VM Scheduling for Cloud Data Centers: Exact allocation and migration algorithms”
[7] KyongHoon Kim, RajkumarBuyya, Anton Beloglazov, “Power-aware provisioning of virtual machines for real-time Cloud services”, Concurrency and Computation: Practice and Experience Volume.23 Issue 13 Sep 2013 pp- 1491- 1505
[8] LizheWangy, Gregor von Laszewskiy, Jai Dayaly, Xi Hey, Andrew J. Younge and Thomas R. Furlaniz, “Towards Thermal Aware Workload Scheduling in a Data Center”, Service Oriented Cyber infrastructure Lab, Rochester Institute of Technology, Center for Computational Research, State University of New York at Buffalo. pp 1-7
[9] G. Motta, N.S fondrini, and D.Sacco, “Cloud computing: An architectural and technological overview,” in Proc. Int. Joint Conf.Serv. Sci., 2012, pp. 23–27
[10] Muhammad Tayyab Chaudhry, TeckChaw Ling, Jongwon Kim, “Thermal-Aware Scheduling in Green Data Centers”, at: http://www.researchgate.net/publication/272822782
[11] PoojaChauhan, Manjeet Gupta, “Energy Aware Cloud Computing Using Dynamic Voltage Frequency Scaling” IJCST Vol. 5, Issue 4, Oct - Dec 2014, pp 195-199
[12] Shaoming Chen, Samuel Irving, and Lu Peng, “Operational Cost Optimization for Cloud Computing Data Centers Using Renewable Energy”, IEEE SYSTEMS JOURNAL
[13] SinaEsfandiarpoor, Ali Pahlavan, MaziarGoudarzi, “Structure-aware online virtual machine consolidation for datacenter energy improvement in cloud computing”, Computers and Electrical Engineering, Elsevier, pp 74-89
[14] Victor Banuelos, Field Applications Engineer Chatsworth Products, Inc.2010, “Managing Data Centre Heat Issues”
[15] Vrunda J. Patel, Prof. Hitesh A. Bheda, “Reducing Energy Consumption with Dvfs for Real-Time Services in Cloud Computing” IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727 Volume 16, Issue 3, Ver. II (May-Jun. 2014), pp 53-57
[16] Youwei Ding, Xiaolin Qin, Liang Liu, Taochun Wang, “Energy efficient scheduling of virtual machines in cloud with deadline constraint” Future Generation Computer Systems, Elsevier, 2015, pp 62-74.

Keywords
cloud computing, energy efficient, virtualization, green cloud.