A Real-Time Cloud Computing using Energy Aware Model
GIRIRAJ PATIL
, SHILPA BIRADAR , V.S.PADMINI
Green Computing, Power models, Scheduling algorithms, GreenCloud Simulator, Energy efficiency, Virtualization, Virtual Machine Migration, Load Balancing, and Server Consolidation
With the abrupt advancement in technology, every business organization aspires to migrate to cloud. The technology of cloud computing makes use of the huge data centers that present multiple issues such as extensive amounts of energy consumption, dissipation of lots of heat and methane, carbon dioxide, etc. like deadly green-house compounds and gases. In order to solve all the above stated issues of cloud computing, green computing came out as an improvement over the conventional cloud technology with energy-efficiency, security and environmental-friendliness. The two of the linear power model and the Low Power blade model are the existing ones, which employ four Virtual Machine scheduling algorithms for the calculation of power consumption and are not very eco-friendly and energy efficient. These limitations of the two power models call for the requirement of a better and more efficient power model. Therefore, the research work is motivated to devise such a power model that ensures energy-efficient results and proves it environment-friendly, when applied on the data centers in a secure way compared with the two existing power models on the Green Cloud Simulator
"A Real-Time Cloud Computing using Energy Aware Model", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.236 - 246, May-2017, Available :https://ijsdr.org/papers/IJSDR1705041.pdf
Volume 2
Issue 5,
May-2017
Pages : 236 - 246
Paper Reg. ID: IJSDR_170391
Published Paper Id: IJSDR1705041
Downloads: 000347023
Research Area: Engineering
Country: Bidar, KARNATAKA, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
