To use services transparently in a distributed environment, the Utility Grids develop a cyber-infrastructure. The parameters of the Quality of Service such as the allocation-cost and makespan have to be dealt with in order to schedule workflow application tasks in the Utility Grids. Optimization of both target parameters above is a challenge in a distributed environment and may conflict one an...

Ordinal optimization has emerged as an efficient technique for simulation and optimization, converging exponentially in many cases. In this paper, we present a new computing budget allocation approach that further enhances the efficiency of ordinal optimization. Our approach intelligently determines the best allocation of simulation trials or samples necessary to maximize the probability of ide...

We study downlink rate allocation for a three cells CDMA system. Based on the discretized cell model, the rate optimization problem that maximizes the total downlink rate allocation is formulated. We propose an approximation procedure for obtaining a rate allocation in three cells case. Via numerical examples, we show that this procedure gives a good approximation of the optimal downlink rate a...

Title of Dissertation: An Optimization Theoretical Framework for Resource Allocation over Wireless Networks Zhu Han, Doctor of Philosophy, 2003 Dissertation directed by: Professor K. J. Ray Liu Department of Electrical and Computer Engineering With the advancement of wireless technologies, wireless networking has become ubiquitous owing to the great demand of pervasive mobile applications. Some...

A Distributed Computing System (DCS) is a combination of application and system programs that exchanges data across a number of independent terminals connected by a communication network. Cost optimization in DCS can be achieve by optimize the performance of DCS. In task allocation two types of approaches are available and these are dynamic and static. Dynamic approach of task allocation is muc...

om plem nt Figure 1.3: Structure of this thesis forcement or the delay for obtaining a system state snapshot, both of which may be large. This thesis shows that intuitively correct performance optimization approaches, such as dynamic programming based resource-packing, do not necessarily yield the best cost-optimizing behavior when accounting for resource allocation delays and the fact that res...