Published November 22, 2018 | Version v1
Journal article Open

Energy Aware Green Computing Model for Data Centers

  • 1. PG student, Department of Information & Technology Pimpri Chinchwad College of Engineering Pune, Maharashtra, India
  • 2. Assistant Professor, Department of Information & Technology Pimpri Chinchwad College of Engineering Pune, Maharashtra, India

Description

Cloud computing is widely used era providing ITservices for 24*7. In IT service business expansion the data centers are playing a vital role. As business demands are expanding the data centers usage are increased. The energy consumption by these centers is focus for many research studies. The impact of energy consumption is affecting environment with carbon emission. The increase in temperature is another issue caused by Data centers. The energy management should be conducted properly with some techniques to reduce energy consumption. Green computing technologies will definitely support to step in reduction of energy consumption. Green cloud computing is the solution for the negative impacts of energy consumption and carbon emission.

Files

(20-25)Energy Aware.pdf

Files (170.5 kB)

Name Size Download all
md5:10bf33841777f7f45c4789a3e3ea1b08
170.5 kB Preview Download

Additional details

References

  • Xiang Sun and Nirwan Ansari :"Green Cloudlet Network: ASustainable Platform for Mobile Cloud Computing", IEEETransactions on Cloud Computing, 2017
  • Shaden M. Ali.,Heba A: "Green Algorithm to Reduce theEnergy Consumption in Cloud Computing Data Centers" SAIComputing Conference 2016 July 13-15, 2016 London UK
  • Ehsan Arianyan Iran telecommunication Research Center, Iran"Multi Objective Consolidation of Virtual Machines forGreen Computing in Cloud Data Centres" 2016 8thInternational Symposium on Telecommunications (IST' 2016)
  • Meera Vasudevana, Yu-Chu Tian , Maolin Tanga, Erhan Kozanc "Profilebased application assignment for greener and more energy-efficient data centers" ELSEVEIR Science DirectFuture Generation Computer Systems 67(2017) 94–108
  • Ado Adamou Abba Ari, Ir´epran Damakoa, Chafiq Titouna, Nabila Labraoui and AbdelhakGueroui "Efficient and scalableACO-based task scheduling for green cloud computing environment" 2017 IEEE International Conference on SmartCloud
  • Rubyga. G1, Dr. Ponsy R.K SathiaBhama "A Survey of Computing Strategies for Green Cloud" 2016 SecondInternational Conference on Science Technology Engineering and Management (ICONSTEM)
  • Thomas Stützle a, Holger H. Hoos b "Max Min Ant System"ELSEVEIR Future Generation Computer Systems 16 (2000) 889–914
  • Miyuru Dayarathna, YonggangWen, Senior Member, IEEE, and Rui Fan "Data Center Energy Consumption Modeling: A Survey" IEEECOMMUNICATIONS SURVEYS & TUTORIALS, VOL.18, NO. 1, FIRST QUARTER 2016
  • K. Gai, M. Qiu, H. Zhao, L. Tao, and Z. Zong, "Dynamic energy-aware cloudlet-based mobile cloud computing model for green computing," Journal of Network and ComputerApplications, vol. 59, pp. 46–54, 2016

Subjects