Ns2 Project

THE diversity of Ns2 project data sources and Web services currently available on the Internet and the computational Grid, as well as the diversity of clients Ns2 project and application requirements, poses significant infrastructure Ns2 project challenges. In this paper, we address the task of targeted data delivery. Users may have specific requirements for data Ns2 project delivery, e.g., how frequently or under what Ns2 project conditions they wish to be alerted about update events or update values, or their tolerance to delays or stale Ns2 project information. The challenge is to Ns2 project deliver relevant data to a client at the desired time, while conserving system resources. We consider a number of scenarios including RSS news Ns2 project feeds, stock Ns2 project prices and auctions on the commercial Internet, and scientific data sets and Grid computational resources. We consider Ns2 project architecture of a proxy server that is managing a set of user Ns2 project profiles that are specified with respect to a set of remote autonomous servers. Specifically, we prove that the RSS-XOR physical layer resource allocation problem is NP-complete by transforming it into a weighted 3-set packing problem. We propose a polynomial-time algorithm to solve it with the best known constant approximation factor, based on an algorithm for the weighted independent set problem. We also formulate the optimization problem with only conventional Decode-and-Forward cooperative diversity, which is referred to as the NO-XOR problem. Using the same decoupling technique, we design an efficient algorithm that optimally solves the NO-XOR physical layer resource allocation problem as a weighted bipartite matching problem,The remainder of this paper is structured as follows. summarizes related work, and Section introducesour system models. In we formally present our NUM framework, the RSS-XOR optimization problemand its counterpart NO-XOR problem, and extend both models for power allocation.