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检索条件"主题词=distributed algorithms"

共 6233 条记录，以下是191-200 订阅

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distributed algorithms for dynamic channel allocation in microcellular systems

Distributed algorithms for dynamic channel allocation in mic...

引用

IEEE Conference on Vehicular Technology (VTC)

作者： L.J. Cimini G.J. Foschini Crawford Hill Laboratory AT&T Bell Labaratories Holmdel NJ USA Crawford Hill Laboratory AT and T Bell Laboratories Holmdel NJ USA

The capacity of a microcellular system using dynamic channel allocation was studied. It was found that these systems can self-organize, with little loss in capacity, by using channel-allocation algorithms that are simple, practical, and local. The performances of both deterministic and probabilistic algorithms were calculated. Two classes of isotropic algorithms look particularly promising: the timid class, which is the simplest, and the aggressive class, which could provide improvements in system capacity and blocking probability. In particular, at the expense of additional rearrangements per call, these local algorithms can approach the capacity achieved by a global channel-allocation strategy.< >

关键词： distributed algorithms Channel allocation Switches distributed control Frequency Microcell networks Intelligent networks Interference Laboratories Mobile communication

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distributed algorithms on edge connectivity problems

Distributed algorithms on edge connectivity problems

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International Symposium on Parallel and distributed Processing (IPDPS)

作者： S.-N. Yang M.-S. Cheng Department of Computer Science National Tsing Hua University Hsinchu Taiwan Computer & Communication Research Laboratory Industrial Technology and Research Institute Hsinchu Taiwan

Connectivity of a network dictates the routability and survivability of a network. The paper investigates the edge connectivity problems in distributed environments. For a given network or graph G, one can distributively find bridges in the network first then find the 2-edge connected components. Both algorithms proposed, bridge finding and 2-edge connected component identifying, require only O(m) message complexity, where m is the number of edge in G. The paper also shows an efficient distributed 2-edge cutset algorithm that has O(n/sup 2/) message complexity, where n is the number of nodes in G.< >

关键词： distributed algorithms Communication networks Bridge circuits Telecommunication network reliability Computer science Integrated circuit interconnections Multiprocessor interconnection networks Circuit synthesis Labeling Councils

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distributed algorithms for multicast path setup in data networks

Distributed algorithms for multicast path setup in data netw...

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IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

作者： F. Bauer A. Varma Computer Engineering Department University of California Santa Cruz CA USA

Establishing a multicast tree in a point-to-point network of switch nodes, such as a wide-area ATM network, can be modeled as the NP-complete Steiner problem in networks. In this paper, we introduce and evaluate two distributed algorithms for finding multicast trees in point-to-point data networks. These algorithms are based on two centralized Steiner heuristics, the shortest path heuristic (SPH) and the Kruskal-based shortest path heuristic (K-SPH), and have the advantage that only the multicast members and nodes in the neighborhood of the multicast tree need to participate in the execution of the algorithm. We compare our algorithms by simulation against a baseline algorithm, the pruned minimum spanning-tree heuristic, which is the basis of many previously published algorithms for finding multicast trees. Our results show that the competitiveness (the ratio of the sum of the heuristic tree's edge weights to that of the best solution found) of both of our algorithms was on the average 25 percent better in comparison to those produced by the pruned spanning-tree approach. In addition, our algorithm's competitiveness in almost all cases was within 10 percent of the best solution found by any of the Steiner heuristics considered, including both centralized and distributed algorithms.

关键词： distributed algorithms Intelligent networks Steiner trees Multicast algorithms Computer networks Electronic mail Radio access networks Upper bound Algorithm design and analysis Analytical models

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distributed algorithms for dynamic channel allocation in cellular mobile systems

Distributed algorithms for dynamic channel allocation in cel...

引用

International Conference on Universal Personal Communications

作者： Weng Wei B.H. Soong P.T. Tan E. Gunawan C.B. Soh School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)0780318234

Various existing dynamic channel assignment (DCA) strategies are introduced first and a new distributed DCA algorithm is proposed in the paper. Based on local observations of the reuse cluster, the algorithm attempts to minimize the reuse distance of the allocated channels and to keep channel reassignments under control. System performance of the proposed algorithm is analysed and compared with other DCA algorithms. Simulation results show that, under certain conditions, the algorithm may approximate blocking performance of the centrally optimized maximum packing (MP) algorithm.< >

关键词： distributed algorithms Channel allocation Interference Clustering algorithms Time varying systems Telecommunication traffic Paper technology System performance Performance analysis Algorithm design and analysis

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distributed algorithms for balanced zone partitioning in content-addressable networks

Distributed algorithms for balanced zone partitioning in con...

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International Conference on Parallel and distributed Systems (ICPADS)

作者： D. Takemoto S. Tagashira S. Fujita Department of Information Engineering Graduate School of Engineering Hiroshima University Higashihiroshima Japan

In this paper, we propose several distributed zone partitioning schemes for content-addressable networks (CAN), that is known as a pure peer-to-peer system based on the distributed hash table (DHT). The main objective of the proposed schemes is to balance the load of nodes in the CAN system, in such a way that every node receives almost the same number of inquiries from the other nodes in the system. The result of simulations implies that, by using the proposed schemes instead of a randomized scheme originally implemented in the CAN system, we could reduce the response time for each inquiry to less than 75%.

关键词： distributed algorithms Intelligent networks Peer to peer computing Scalability Multiprocessor interconnection networks Network servers Content based retrieval Delay Large-scale systems distributed computing

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distributed algorithms for Multipath Routing in Full-Duplex Wireless Networks

Distributed Algorithms for Multipath Routing in Full-Duplex ...

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IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems (MASS)

作者： Xi Fang Dejun Yang Guoliang Xue Arizona State University USA

Recently Choi et al. designed the first practical wireless full-duplex system, which challenges the basic assumption in wireless communications that a radio cannot transmit and receive on the same frequency at the same time. Along this line, in this paper we study the cross-layer optimization for routing in full-duplex wireless networks, comprehensively considering various resource competitions and constraints. We first propose a collision-free full-duplex broadcast MAC and prove its necessary and sufficient conditions. We then focus on 1) the problem of how to choose routes to maximize the total profit of multiple users subject to node constraints, and 2) the problem of how to choose routes to minimize the network power consumption subject to the minimum user rate demands and node constraints. We formulate these two problems as convex programming systems. By combining Lagrangian decomposition and subgradient methods, we present distributed iterative algorithms to solve these two problems, which compute the optimized user information flow (i.e. user behavior) on the network layer and the optimized node broadcast rate (i.e. node behavior) on the MAC layer. Our algorithms allow each user and each node to adjust its own behavior individually in each iteration. We prove the convergence, and provide bounds on the amount of constraint violation, and the gap between the optimal solution and our solution in each iteration. Our work comprehensively considers various resource competitions and constraints, and provides a theoretical foundation for the future study on full-duplex wireless networks. To the best of our knowledge, this is the first work to study cross-layer optimization for full-duplex wireless networks.

关键词： Routing Wireless networks Optimization Power demand distributed algorithms Transmitters

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distributed algorithms for Minimum Cost Multicast with Network Coding in Wireless Networks

Distributed Algorithms for Minimum Cost Multicast with Netwo...

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International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt)

作者： Yufang Xi E.M. Yeh Department of Electrical Engineering Yale University New Heaven CT USA

We adopt the network coding approach to achieve minimum-cost multicast in interference-limited wireless networks where link capacities are functions of the signal-to-interference-plus-noise ratio (SINR). Since wireless link capacities can be controlled by varying transmission powers, minimum-cost multicast must be achieved by jointly optimizing network coding subgraphs with power control and congestion control schemes. To address this, we design a set of node-based distributed gradient projection algorithms which iteratively adjust local control variables so as to converge to the optimal power control, coding subgraph, and congestion control configuration. We explicitly derive the scaling matrices required in the gradient projection algorithms for fast, guaranteed global convergence, and show how the scaling matrices can be computed in a distributed manner.

关键词： distributed algorithms Costs Network coding Wireless networks Power control Projection algorithms Optimal control Interference Signal to noise ratio Algorithm design and analysis

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distributed algorithms for convex network optimization under non-sparse equality constraints

Distributed algorithms for convex network optimization under...

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Annual Allerton Conference on Communication, Control, and Computing

作者： Ashish Cherukuri Jorge Cortés Department of Mechanical and Aerospace Engineering University of California San Diego

ISBN: (纸本)9781509045518

This paper studies a class of network optimization problems where the objective function is the summation of individual agents' convex functions and their decision variables are coupled by linear equality constraints. These constraints are not sparse, meaning that they do not match the pattern of the network adjacency matrix. We propose two approaches to design efficient distributed algorithms to solve the network optimization problem. Our first approach consists of transforming the non-sparse equality constraints into sparse ones by increasing the number of the agents' decision variables, yielding an exact reformulation of the original optimization problem. We discuss two reformulations, based on the addition of consensus variables and of constraint-mismatch variables, and discuss the scalability of the strategies resulting from them. Our second approach consists instead of sparsifying the non-sparse constraints by zeroing some coefficients, yielding an approximate reformulation of the original problem. We formally characterize the gap on the distance between the optimizers of the original and approximated problems as a function of the number of entries made zero in the constraints. Various simulations illustrate our results.

关键词： Optimization distributed algorithms Linear programming Convex functions Algorithm design and analysis Graph theory Generators

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distributed algorithms for the Graph Biconnectivity and Least Common Ancestor Problems

Distributed Algorithms for the Graph Biconnectivity and Leas...

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IEEE International Symposium on Parallel and distributed Processing Workshops and Phd Forum (IPDPSW)

作者： Ian Bogle George M. Slota Computer Science Department Rensselaer Polytechnic Institute Troy NY

ISBN: (数字)9781665497473

ISBN: (纸本)9781665497480

Graph connectivity analysis is one of the primary ways to analyze the topological structure of social networks. Graph biconnectivity decompositions are of particular interest due to how they identify cut vertices and cut edges in a network. We present the first, to our knowledge, implementation of a distributed-memory parallel biconnectivity algorithm. As part of our algorithm, we also require the computation of least common ancestors (LCAs) of non-tree edge endpoints in a BFS tree. As such, we also propose a novel distributed algorithm for the LCA problem. Using our implementations, we observe up to a 14.8× speedup from 1 to 128 MPI ranks for computing a biconnectivity decomposition.

关键词： distributed processing Social networking (online) Conferences distributed algorithms

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A Real-Time Testbed for distributed algorithms: Evaluation of Average Consensus in Simulated Vehicular Ad Hoc Networks

A Real-Time Testbed for Distributed Algorithms: Evaluation o...

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作者： ALBIN CASPARSSON DAVID GARDTMAN Chalmers University of Technology

学位级别：硕士

Intelligent transportation systems consist of applications which use communication capabilities of vehicles to solve tasks that require cooperation with other vehicles. One of the possible applications is cooperative positioning, in which vehicles increase the accuracy of their positions by sharing positioning information with each other. Previous research has suggested using average consensus to share this information. Average consensus is a type of distributed algorithm that, in a system where each node performs a measurement of some value, can make all nodes reach agreement on the average of the set of measurements. This thesis evaluates the performance of average consensus algorithms in vehicular ad hoc networks. Full-scale experiments on vehicular systems are costly, but it is also not necessarily desired to fully simulate a vehicular system. This thesis presents a testbed where we opt to fully simulate the vehicular communication network. The vehicles that are part of the network can be simulated using either virtual nodes or a scaled down physical robot system. An 802.11p wireless network, which has been suggested for vehicular ad hoc networks, is simulated using the ns-3 network simulator. Addition- ally, some properties that cause the wireless network to be unreliable are simulated. Furthermore, in this thesis, three average consensus algorithms are implemented with some modifications to account for the properties of vehicular ad hoc networks. These algorithms are evaluated in the created testbed, in order to study their per- formance in such a network. We observe that consensus converges asymptotically in a simulation of randomly moving nodes, and that the consensus states of the nodes oscillate around the true average when new nodes are allowed to enter the system during consensus. The consensus converges to a state that does not necessarily co- incide exactly with the true average, which is to be expected since some packets are lost due the simulated wir

关键词： Average consensus Vehicular ad hoc networks Network simulation ns-3 Intelligent transportation systems distributed algorithms

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