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Many important network design problems can be formulated as a combinatorial optimization problem. A large number of such problems, however, cannot readily be tackled by distributed algorithms. The Markov approximation framework studied in this paper is a general technique for synthesizing distributed algorithms. We show that when using the log-sum-exp function to approximate the optimal value of any...
Existing work on cross-layer optimization for wireless networks adopts simple physical-layer models, i.e., treating interference as noise. In this paper, we adopt a deterministic channel model proposed in, a simple abstraction of the physical layer that effectively captures the effect of channel strength, broadcast and superposition in wireless channels. Within the Network Utility Maximization (NUM)...
Orthogonal frequency division multiplexing (OFDM) is the key component of many emerging broadband wireless access standards. The resource allocation in OFDM uplink, however, is challenging due to heterogeneity of users' quality of service requirements, channel conditions, and individual resource constraints. We formulate the resource allocation problem as a non-strictly convex optimization problem,...
Peer-to-peer (P2P) systems provide a scalable way to stream content to multiple receivers over the Internet and has become a major type of application traffic. The maximum rate achievable by all receivers is the capacity of a P2P streaming session. We provide a taxonomy of the problem formulations. In each formulation, computing P2P streaming capacity requires the computation of an optimal set of...
Service composition becomes the most interesting challenges in the Web services area. In this paper, the quality of service (QoS)-aware composition of Web services is discussed. In the existing work, heuristic or intelligent optimal algorithms are adopted directly upon the complex process model of a composite service, which means different flow constructs (e.g. sequence, selective, simultaneous, combination,...
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