Quality-of-service (QOS) requirements for applications in high-speed networks are typically specied on an end-to-end basis. Mapping this end-to-end requirement to nodal requirements facilitates providing QOS guarantees and simpli esconnection admission. In this paper, we evaluate strategies for such local allocation of the end-to-end QOS. A QOS allocation policy is said to perform better than another when the maximumnetwork load that it can support is greater. A major contribution of this work is the development of a nodal metric that predicts the relative performance of QOS allocation policies in a network setting. Computation of the nodal metric and direct evaluation of allocation policy performance for two simple network models yield valuable insight into the choice of allocation policies. Intuitively, one expects signi cant di erences in the performance of allocation policies when there are signi cant imbalances in nodal resource capacities or tra c loads. It is found, however, th...
Ramesh Nagarajan, James F. Kurose, Donald F. Towsl