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
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;
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
DOI :
10.1109/INFCOMW.2011.5928895