Title :
Understanding XCP: equilibrium and fairness
Author :
Low, Steven H. ; Andrew, Lachlan L H ; Wydrowski, Bartek P.
Author_Institution :
CS & EE, California Inst. of Technol., Pasadena, CA, USA
Abstract :
We prove that the XCP equilibrium solves a constrained max-min fairness problem by identifying it with the unique solution of a hierarchy of optimization problems, namely those solved by max-min fair allocation, but solved by XCP under an additional constraint. We describe an algorithm to compute this equilibrium and derive a lower and upper bound on link utilization. While XCP reduces to max-min allocation at a single link, in a network the additional constraint can cause a flow to receive an arbitrarily small fraction of its max-min allocation. We present simulation results to confirm our analytical findings.
Keywords :
constraint theory; mathematical programming; resource allocation; telecommunication congestion control; telecommunication traffic; transport protocols; XCP equilibrium; additional constraint; explicit control protocol; flow control; mathematical programming; max-min fair allocation; optimization problem; Analytical models; Australia; Computational modeling; Constraint optimization; Explosives; Grid computing; Internet; Mathematical programming; Network topology; Upper bound;
Conference_Titel :
INFOCOM 2005. 24th Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings IEEE
Print_ISBN :
0-7803-8968-9
DOI :
10.1109/INFCOM.2005.1498331