DocumentCode
613617
Title
Exploiting excessive resources at data-centres of media content providers using cloud computing
Author
Alasaad, A. ; Ahmed, H.M. ; Shafiee, K. ; Gopalakrishnan, S. ; Leung, Victor C. M.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of British Columbia, Vancouver, BC, Canada
fYear
2013
fDate
15-18 April 2013
Firstpage
153
Lastpage
158
Abstract
It is widely accepted that cloud computing technologies will soon have substantial impact on a broad range of industrial sectors. For example, media content providers can use the advances in cloud computing technologies to exploit the excessive bandwidth and computing resources available at their data-centres. In cloud computing, resources can be seen as a utility or commodity. Thus, cloud computing creates the possibility for a media content provider to increase its monetary profit by offering (renting out) the idle resources at its data-center to users of other communities. Our contributions in this paper are twofold. Firstly, we introduce our innovative system design that enables the media content provider to exploit the excessive resources available at its data-centre using cloud computing. Secondly, we design admission control algorithm that selects the set of tasks to admit at the data-center such that the monetary profit is maximized; while ensuring that the demand for media streaming capacity by clients of the media content provider can be sustained at any instant of time with some level of confidence in probabilistic sense.
Keywords
cloud computing; computer centres; probability; resource allocation; admission control algorithm; cloud computing technology; computing resource; data centre; industrial sector; media content provider; media streaming capacity; monetary profit; probabilistic sense; resource exploitation; Admission control; Algorithm design and analysis; Cloud computing; Communities; Media; Streaming media; Virtual machining;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems Conference (SysCon), 2013 IEEE International
Conference_Location
Orlando, FL
Print_ISBN
978-1-4673-3107-4
Type
conf
DOI
10.1109/SysCon.2013.6549874
Filename
6549874
Link To Document