TY - JOUR
T1 - Quality-based resource brokerage for autonomous networked multimedia applications
AU - Park, Hyunggon
AU - Van Der Schaar, Mihaela
N1 - Funding Information:
Manuscript received January 23, 2008; revised December 21, 2008 and April 15, 2009. First version published July 7, 2009; current version published December 1, 2009. This paper was supported by the National Science Foundation (NSF) and the Computing and Communication Foundations (CCF): NSF CCF 0830556 and NSF CCF 0541867. The material in this paper was presented in part at the Sixteenth International Packet Video Workshop, Lausanne, Switzerland, November 2007. This paper was recommended by Associate Editor T. Nguyen.
PY - 2009/12
Y1 - 2009/12
N2 - In this paper, we assume that the network resources are managed by several brokers, which are endowed with resources by a (remote) central resource manager according to several predetermined policies. Our focus is on autonomous multimedia users. We propose a novel resource management scheme, where resource brokers choose well-suited axiomatic bargaining solutions to divide their allocated resources among the users associated with them. These resource division solutions enable resource brokers to provide strict minimum video quality guarantees according to the (varying) number of multimedia users associated with them. Finally, we show that the proposed solution enables us to model the problem of selecting resource brokers by multimedia users as an unweighted congestion game, thereby ensuring convergence to a stationary distribution of users across resource brokers. We investigate the number of required users' switches to reach the stationary distribution, and quantify the fairness of the stationary distribution by introducing a novel quality fairness comparison metric for the users.
AB - In this paper, we assume that the network resources are managed by several brokers, which are endowed with resources by a (remote) central resource manager according to several predetermined policies. Our focus is on autonomous multimedia users. We propose a novel resource management scheme, where resource brokers choose well-suited axiomatic bargaining solutions to divide their allocated resources among the users associated with them. These resource division solutions enable resource brokers to provide strict minimum video quality guarantees according to the (varying) number of multimedia users associated with them. Finally, we show that the proposed solution enables us to model the problem of selecting resource brokers by multimedia users as an unweighted congestion game, thereby ensuring convergence to a stationary distribution of users across resource brokers. We investigate the number of required users' switches to reach the stationary distribution, and quantify the fairness of the stationary distribution by introducing a novel quality fairness comparison metric for the users.
KW - Axiomatic bargaining solution
KW - Congestion games
KW - Multimedia resource management
KW - Quality-driven admission control
KW - Resource broker
UR - http://www.scopus.com/inward/record.url?scp=71849106333&partnerID=8YFLogxK
U2 - 10.1109/TCSVT.2009.2026983
DO - 10.1109/TCSVT.2009.2026983
M3 - Article
AN - SCOPUS:71849106333
SN - 1051-8215
VL - 19
SP - 1781
EP - 1792
JO - IEEE Transactions on Circuits and Systems for Video Technology
JF - IEEE Transactions on Circuits and Systems for Video Technology
IS - 12
M1 - 5159454
ER -