Analysis of Energy Aware Data Center using Green Cloud Simulator in Cloud Computing
 | International Journal of Computer Trends and Technology (IJCTT) |  |
| © - November Issue 2013 by IJCTT Journal | ||
| Volume-5 Issue-3 | ||
| Year of Publication : 2013 | ||
| Authors :Beant Singh Gill , Satinderjit kaur Gill , Prince Jain |
Beant Singh Gill , Satinderjit kaur Gill , Prince Jain"Analysis of Energy Aware Data Center using Green Cloud Simulator in Cloud Computing"International Journal of Computer Trends and Technology (IJCTT),V5(3):154-159 November Issue 2013 .ISSN 2231-2803.www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract:- Cloud computing data centers are becoming popular for the provisioning of computingresources. The cost and operating expenses of data centers have increased with the increase in computing capacity. Several researches and surveys indicate that the energy utilized by computing and communication units within a data center contributes to a considerable portion of the data center operational costs.In this paper, we present a simulation environment for energyaware cloud computing data centers. Along with the workload distribution, the simulator is designed to capture details of the energy consumed by data center components as well as packet-level communication patterns between them. The simulation results obtained for two-tier, three-tier, and three-tier high-speed data center architectures which demonstrate the effectiveness of the simulator in utilizing different power management schema, such as voltage scaling, frequency scaling, and dynamicshutdown.
References -
[1] Raj Kumar Buyya, Rajiv Ranjan, Rodrigo N. Calheiros, “Modeling and simulation of scalable cloud computing environments and the CloudSim toolkit: challenges and opportunities”, proceedings of the 7th high performance computing and simulation conference, Leipzig, Germany, June 21-24, 2009.
[2] Yiyu Chen, Amitayu Das, Wubi Qin, AnandSivasubramaniam,Qian Wang, NatarajanGautam, “Managing Server Energy and Operational costs in Hosting centers”, Proceedings of the ACM Sigmetrics international conference on measurement and modeling of computer systems, ACM, New York, pp: 303–314, 2005.
[3] Gong Chen, Wenbo He, Jie Liu, SumanNath, Leonidas Rigas, Lin Xiao, Feng Zhao, “Energy-aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services”, in 5th USENIX symposium on networked systems design and implementation”, PP: 337-350, Berkeley, USA 2008.
[4] Xiaobo Fan, Wolf-Dietrich Weber, Luiz André Barroso, “Power provisioning for a warehouse-sized computer”, Proceedings of the ACM international symposium on computer architecture, San Diego, CA, June 2007.
[5] Fan Xiaobo, Weber Wolf-Dietrich, BarrosoLuiz Andre, “Power provisioning for warehouse sized computer”, Proceedings of the 34th annual international symposium on computer architecture (ISCA), ACM, pp: 13–23, New York, June 2007.
[6] Farrington N, Rubow E, Vahdat A, “Data center switch architecture in the age of merchant silicon”, Proceedings of the 17th IEEE symposium on high performance interconnects (HOTI’ 09), IEEE Computer Society, Washington, pp: 93–102, 2009.
[7]Albert G. Greenberg, ParantapLahiri, David A. Maltz, Parveen Patel, SudiptaSengupta, “Towards next generation data center architecture: scalability and commoditization”, Proceedings of the ACM Sigcomm, Workshop on Programmable Routers for Extensible Services of Tomorrow PRESTO 2008, Seattle, WA, USA, August 22, 2008
A Scalable and Fault Tolerant Network Structure for Data Centers,” In SIGCOMM 2008 on Data communication, PP: 75-86, Seattle, USA, August 2008.
[9] ChuanxiongGuo, Guohan Lu, Dan Li, Haitao Wu, Xuan Zhang, Yunfeng Shi, Chen Tian, Yongguang Zhang, and Songwu Lu, “BCube: A High Performance, Server-centric Network Architecture for Modular Data Centers,” In SIGCOMM 2009 on Data communication, PP: 63-74, Barcelona, Spain, August 2009.
[10] Tibor Horvath, TarekAbdelzaher, Kevin Skadron and X. Liu, "Dynamic Voltage Scaling in Multi-Tier Web Servers with End-to-End Delay Control", IEEETransaction on Computers, vol. 56, no. 4, pp. 444-458, April 2007.
[11] IEEE 802.3ad-2000, “Amendment to Carrier Sense Multiple Access With Collision Detection (CSMA/CD) Access Method and Physical Layer Specifications-Aggregation of Multiple Link Segments”, IEEE Press, New York, March 2000.
[12] DzmitryKliazovich, Pascal Bouvry, SameeUllah Khan, “GreenCloud: a packet-level simulator of energy-aware cloud computing data centers”, Springer Science+Business Media, LLC, Nov 2010.
[13] IEEE std 802.3ba-2010, “Media Access Control parameters, Physical layers and Management parameters for 40 Gb/s and 100 Gb/s operation”, IEEE press, NY, June, 2010
[14] Liang Zhong, Bo Li, Jianxin Li, JinpengHuai, TianyuWo, Qin Li and Zhong L, “ EnaCloud: An Energy-saving Application Live Placement Approach for Cloud Computing Environments”, IEEE International Conference on Cloud Computing, PP: 17-24, Bangalore, India, 2009.
[15] Seung-Hwan Lim, Bikash Sharma, Gunwoo Nam, EunKyoung Kim, and Chita R. Das, “MDCSim: AMulti-Tier Data center simulation, platform”, IEEE international conference on cluster computing and workshops (CLUSTER), PP: 1-9, Aug-Sept, 2009.
[16] Jie Liu, Feng Zhao, Xue Liu, Wenbo He, “Challenges Towards Elastic Power Management in Internet Data Centers”, Proceedings of the 2nd international workshop on cyber-physical systems (WCPS) in conjunction with ICDCS 2009, Montreal, Canada, June 2009.
[17] PriyaMahadevan, Puneet Sharma, Sujata Banerjee and ParthasarathyRanganathan, “Energy Aware Network Operations,” IEEE INFOCOM, HP labs, pp: 1 – 6, 2009.
[18] PriyaMahadevan, Puneet Sharma, Sujata Banerjee and ParthasarathyRanganathan, “A power benchmarking framework for network devices”, Proceedings of the 8th international IFIP-TC 6 networking conference, Aachen, Germany, May, 2009.
[19] Moore J, Chase J, Puneet Sharma and ParthasarathyRanganathan, “Making scheduling cool: Temperature aware workload placement in data centers”, Proceedings of the Annual conference on USENIX Annual
Keywords :— Data center, Green Cloud, Energy Efficiency, Simulation