DocumentCode
1884127
Title
Low-cost application image distribution on worldwide cloud front server
Author
Liu, Yang ; Bai, Shi ; Zhang, Weiyi ; Zhang, Jun
Author_Institution
Dept. of Comput. Sci., North Dakota State Univ., Fargo, ND, USA
fYear
2011
fDate
10-15 April 2011
Firstpage
660
Lastpage
665
Abstract
Cloud computing opens a new area of supplement, consumption, and delivery framework for IT services. Customers could be able to order Virtual Applications through the cloud. To reduce the latency time, the cloud service providers implement some strategies (e.g., cloudfront service) to speed up the applications delivery. However, these strategies do not consider the profit of application providers. In this paper we address the problem which is to maximize the profit of application providers based on the Original-Front server network model. We studied two different scenarios and proposed two efficient heuristic algorithms. Our simulation results show that our heuristic algorithms can increase the profit of application providers significantly.
Keywords
Web services; cloud computing; IT services; cloud computing; cloud service providers; delivery framework; heuristic algorithm; low cost application image distribution; original front server network model; virtual applications; worldwide cloud front server; Artificial neural networks; Cloud computing; Heuristic algorithms; Processor scheduling; Protocols; Servers; Application Distribution; Cloud Computing; Front Server; Maximize profit;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Communications Workshops (INFOCOM WKSHPS), 2011 IEEE Conference on
Conference_Location
Shanghai
Print_ISBN
978-1-4577-0249-5
Electronic_ISBN
978-1-4577-0248-8
Type
conf
DOI
10.1109/INFCOMW.2011.5928895
Filename
5928895
Link To Document