The main contributions of this research are (1) mathematical models of robustness suitable for dynamic environments based on single estimates of system parameters (2) a mathematical model of robustness applicable to environments where the uncertainty in system parameters can be modeled stochastically, (3) a demonstration of the use of this metric to design resource allocation heuristics in a static environment, (4) a mathematical model of robustness in a stochastic dynamic environment, (5) we demonstrate the utility of this dynamic robustness metric through the design of resource allocation heuristics, (6) the derivation of a robustness metric for evaluating resource allocation decisions in an overlay network along with a near optimal resource allocation technique suitable to this environment.In this example, we assume that a service requester receives some utility from the successful transfer of a request to a service provider. For example, the service provider may provide a printer repair service a the data being transferred by the anbsp;...
|Title||:||Robust Resource Allocation in Heterogeneous Parallel and Distributed Computing Systems|
|Author||:||James T. Smith (II.)|
|Publisher||:||ProQuest - 2008|