Please use this identifier to cite or link to this item:
http://repository.kln.ac.lk/handle/123456789/20169
Title: | Green Cloud Computing: A Review on Adoption of Green-Computing attributes and Vendor Specific Implementations |
Authors: | Jayalath, J.M.T.I. Chathumali, E.J.A.P.C. Kothalawala, K. R .M. Kuruwitaarachchi, N. |
Keywords: | Cloud Computing Green Cloud Computing SaaS PaaS IaaS Energy Efficiency Power Management Virtualization Data Centre Resource Management Virtual Machine(VM) |
Issue Date: | 2019 |
Publisher: | IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka |
Citation: | Jayalath, J.M.T.I., Chathumali, E.J.A.P.C., Kothalawala, K. R .M. and Kuruwitaarachchi, N. (2019). Green Cloud Computing: A Review on Adoption of Green-Computing attributes and Vendor Specific Implementations. IEEE International Research Conference on Smart computing & Systems Engineering (SCSE) 2019, Department of Industrial Management, Faculty of Science, University of Kelaniya, Sri Lanka.P.158 |
Abstract: | With cloud computing emerging as a trending topic, it has been a major point of discussion for the last few years. In regards to technological advancements, the associated shortcomings like environmental footprint caused by them also become an affair of high significance. Cloud computing itself is a much greener alternative to individual data centers with lesser number of servers being used and cloud data centers being far more efficient than those of traditional thereby reducing the carbon impact. Nonetheless, it cannot be neglected the fact that the data centers utilized by the cloud vendors are still a major source of carbon emissions due to the dirty energy usage. Therefore, the discussion of the paper is based on how green the foremost cloud providers are and the implementations of green IT attributes in the cloud infrastructure |
URI: | http://repository.kln.ac.lk/handle/123456789/20169 |
Appears in Collections: | Smart computing & Systems Engineering - (SCSE - 2019) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
SC-1 (23).pdf | 1.44 MB | Adobe PDF | View/Open |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.