Proportional fair resource allocation plays a critical role to enhance the performance of slow adaptive orthogonal frequency division multiple access (OFDMA) system. In slow adaptive OFDMA system, the subcarrier allocation is updated at the beginning of every time window and the channel gain of users at the time of the subcarrier allocation could not be known precisely. This leads to the challe...

This paper investigates the resource allocation problem for a type of workflow in pervasive computing. These workflows are abstracted from the enterprise-level applications in the business or commerce area. The activities in these workflows require not only computing resources, but also human resources. Human involvement introduces additional security concerns. When we plan/allocate resource ca...

6.1 Introduction Wireless networks enable ubiquitous information and computational resource access , and become a popular networking solution. Recently, wireless mesh networks (WMN) [1, 2, 3, 4, 5, 6, 7] have attracted increasing attention and deployment as a high-performance and low-cost solution to last-mile broadband Internet access. In this chapter, we study the problem of resource allocati...

In this paper, we present a distributed resource and power allocation scheme for multiple-resource wireless cellular networks. The global optimization of multi-cell multi-link resource allocation problem is known NP-hard in the general case. We use Gibbs sampling based algorithms to perform a distributed optimization that would lead to the global optimum of the problem. The objective of this pa...

Software development project employs some Quality Control (QC) process to detect and remove defects. The final quality of the delivered software depends on the effort spent on all the QC stages. Given a quality goal, different combinations of efforts for the different QC stages may lead to the same goal. In this paper we address the problem of allocating resources to the different QC stages, su...

Optimization theory and nonlinear programming method have successfully been applied into wire-lined networks (e.g., the Internet) in developing efficient resource allocation and congestion control schemes. The resource (e.g., bandwidth) allocation in a communication network has been modeled into an optimization problem: the objective is to maximize the source aggregate utility subject to the ne...

The problem of optimal policy formulation for teams of resource-limited agents in stochastic environments is composed of two strongly-coupled subproblems: a resource allocation problem and a policy optimization problem. We show how to combine the two problems into a single constrained optimization problem that yields optimal resource allocations and policies that are optimal under these allocat...

Population games have become a powerful tool for solving resource-allocation problems in a distributed manner, and for the design of non-centralized optimization-based controllers. The aim of this paper is to illustrate the advantages of two recently introduced population-game approaches in comparison to other classical optimization methods. More specifically, the discussion is mainly devoted t...

Taking jointly into account end-user QoE and network resource allocation optimization provides new opportunities for network and service providers in improving user perceived service performance. In this chapter, we discuss state-of-the-art with regards to QoE-driven utility-based optimization of network resource allocation, in particular related to multimedia services. We present two general t...