Title :
A survey on video distribution services in cloud computing
Author :
Sobiya, P. ; Nayagam, M. Gomathi ; Ramar, K.
Author_Institution :
Comput. Sci. & Eng., Einstein Coll. of Eng., Tirunelveli, India
Abstract :
Cloud computing is a new infrastructure environment that delivers on the promise of supporting on-demand services in a flexible manner by scheduling bandwidth, storage and compute resources on the fly. Content delivery networks (CDN) based systems are considered as the potential solutions to deliver User-generated content (UGC). But none of the existing CDN based solutions can support all the required features in UGC delivery. In this paper we analyses the various mechanism for deploying video in geographically distributed cloud server and optimal utilization of bandwidth, storage and other computing resources. Optimal Deployment can be done by using Nash Bargaining solutions, Greedy algorithm, Convex optimization and Lagrange Duality methods are used.
Keywords :
cloud computing; convex programming; game theory; greedy algorithms; scheduling; video on demand; video signal processing; CDN; Lagrange duality methods; Nash bargaining solutions; UGC; cloud computing; content delivery networks; convex optimization; greedy algorithm; on-demand services; scheduling bandwidth; user-generated content; video distribution services; Bandwidth; Cloud computing; Conferences; Embedded systems; Optimization; Servers; Streaming media; CDN; Convex Optimization; Nash bargaining; User Generated Content;
Conference_Titel :
Information Communication and Embedded Systems (ICICES), 2014 International Conference on
Conference_Location :
Chennai
Print_ISBN :
978-1-4799-3835-3
DOI :
10.1109/ICICES.2014.7033800
