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检索条件"任意字段=Proceedings of the thirteenth workshop on Parallel and distributed simulation"

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A distributed and Energy efficient algorithm for data collection in sensor networks

A Distributed and Energy efficient algorithm for data collec...

引用

International workshop on Scheduling and Resource Management for parallel and distributed Systems

作者： Sharafkandi, Sarah Du, David H.C. Razavi, Alireza Department of Computer Science and Engineering University of Minnesota Twin cities MN United States

ISBN: (纸本)9780769541570

In wireless sensor networks, collection of raw sensor data at a base station provides the flexibility to perform offline detailed analysis on the data which may not be possible with innetwork data aggregation. However, lossless data collection consumes considerable amount of energy for communication while sensors usually have limited energy. In this paper, we propose a distributed and Energy efficient algorithm for Collection of Raw data in sensor networks called DECOR. DECOR exploits spatial correlation to reduce the communication energy in sensor networks with highly correlated data. In our approach, at each neighborhood, one sensor shares its raw data as a reference with the rest of sensors without any suppression or compression. Other sensors use this reference data to compress their observations by representing them in the forms of mutual differences. In a highly correlated network, transmission of reference data consumes significantly more energy than transmission of compressed data. Thus, we first attempt to minimize the number of reference transmissions. Then, we try to minimize the size of mutual differences. We derive analytical lower bounds for both these phases and based on our theoretical results, we propose a twostep distributed data collection algorithm which reduces the communication energy significantly compared to existing methods. In addition, we modify our algorithm for lossy communication channels and we evaluate its performance through simulation. © 2010 IEEE.

关键词： Wireless sensor networks

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Improving the effectiveness of context-based prefetching with multi-order analysis

Improving the effectiveness of context-based prefetching wit...

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International workshop on Scheduling and Resource Management for parallel and distributed Systems

作者： Chen, Yong Zhu, Huaiyu Jin, Hui Sun, Xian-He Computer Science and Mathematics Division Oak Ridge National Laboratory Oak Ridge TN United States Department of Computer Science Illinois Institute of Technology Chicago IL United States

ISBN: (纸本)9780769541570

Data prefetching is an effective way to accelerate data access in high-end computing systems and to bridge the increasing performance gap between processor and memory. In recent years, the contextbased data prefetching has received intensive attention because of its general applicability. In this study, we provide a preliminary analysis of the impact of orders on the effectiveness of the context-based prefetching. Motivated by the observations from the analytical results, we propose a new context-based prefetching method named Multi-Order Context-based (MOC) prefetching to adopt multi-order context analysis to increase the context-based prefetching effectiveness. We have carried out simulation testing with the SPECCPU2006 benchmarks via an enhanced CMP$im simulator. The simulation results show that the proposed MOC prefetching method outperforms the existing single-order prefetching and reduces the data-access latency effectively. © 2010 IEEE.

关键词： CMP$im simulator context-based prefetching context-based prefetching method data prefetching data prefetching data-access latency high-end computing high-end computing systems information retrieval memory access performance multiorder analysis multiorder context-based prefetching simulation testing single-order prefetching storage management

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Algorithmic Foundations of Robotics IX - Selected Contributions of the Ninth International workshop on the Algorithmic Foundations of Robotics

引用

9th International workshop on the Algorithmic Foundations of Robotics, WAFR 2010

ISBN: (纸本)9783642174513

The proceedings contain 24 papers. The topics discussed include: homotopic path planning on manifolds for cabled mobile robots;an equivalence relation for local path sets;using lie group symmetries for fast corrective motion planning;asynchronous distributed motion planning with safety guarantees under second-order dynamics;incremental sampling-based algorithms for a class of pursuit-evasion games;multiagent pursuit evasion, or playing kabaddi;reconfiguring chain-type modular robots based on the carpenter's rule theorem;robomotion: scalable, physically stable locomotion for self-reconfigurable robots;adaptive time stepping in real-time motion planning;the bayes tree: an algorithmic foundation for probabilistic robot mapping;GPU-based parallel collision detection for real-time motion planning;and modeling contact friction and joint friction in dynamic robotic simulation using the principle of maximum dissipation.

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OCO: A multi-channel MAC protocol with opportunistic cooperation for wireless sensor networks

OCO: A multi-channel MAC protocol with opportunistic coopera...

引用

International workshop on Wireless Network Algorithm and Theory

作者： Li, Jinbao Zhang, Desheng Guo, Longjiang School of Computer Science and Technology Heilongjiang University Harbin Heilongjiang 150080 China Key Laboratory of Database and Parallel Computing of Heilongjiang Province Harbin Heilongjiang 150080 China

ISBN: (纸本)9780769543222

To handle the triple hidden terminal problems, this paper proposes OCO, an asynchronous multi-channel MAC protocol with opportunistic cooperation for wireless sensor networks. By adopting opportunistic cooperation, OCO effectively alleviates, if not eliminates, the triple hidden terminal problems. More importantly, OCO is fully distributed with no requirements of time synchronization or multi-radio scheme, so it is easy to be implemented on the real sensor nodes. Via the theoretical analysis, the opportunistic probability that a node cooperates with its neighbor is obtained. To validate the effectiveness of opportunistic cooperation, extensive simulations and real testbed experiments were conducted. The simulation and experimental results show that when the number of channels is large or the network loads are heavy, OCO improves energy efficiency and throughput significantly compared with other works in the literature. © 2010 IEEE.

关键词： Sensor nodes

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Efficient Master/Worker parallel Discrete Event simulation 09

Efficient Master/Worker Parallel Discrete Event Simulation

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23rd International workshop on Principles of Advanced and distributed simulation

作者： Park, Alfred Fujimoto, Richard M. Georgia Inst Technol Computat Sci & Engn Div Atlanta GA 30332 USA

ISBN: (纸本)9780769537139

The master/worker (MW) paradigm can be used to implement parallel discrete event simulations (PDES) on metacomputing systems. MW PDES applications incur overheads not found in conventional PDES executions executing on tightly coupled machines. We introduce four techniques for reducing these overheads on public resource and desktop grid infrastructures Work unit caching, pipelined state updates, expedited message delivery, and adaptive work unit scheduling mechanisms are described that provide significant reduction in overall overhead when used in tandem. We present performance results showing that an optimized MW PDES system can exhibit performance comparable to a traditional PDES system for a queueing network and a particle physics simulation.

关键词： parallel discrete event simulation conservative synchronization caching PDES metacomputing volunteer computing grid computing simulation desktop grids Master/worker

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parallelizing SystemC Kernel for Fast Hardware simulation on SMP Machines 09

Parallelizing SystemC Kernel for Fast Hardware Simulation on...

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23rd International workshop on Principles of Advanced and distributed simulation

作者： Ezudheen, P. Chandran, Priya Chandra, Joy Simon, Biju Puthur Ravi, Deepak Natl Inst Technol Calicut Calicut Kerala India Intel Corp Santa Clara CA USA

ISBN: (纸本)9780769537139

SystemC is a system-level modeling language and simulation framework which facilitates design and verification of processor designs at different levels. Recently, SystemC is becoming a popular choice for designers of both System-On-Chip (SoC) and embedded processors, clue to its adaptability at cycle as well as transaction levels, and ability to model concurrent processes. However, the single threaded simulation kernel inherent to SystemC, prevents it froth utilizing the potential computing power of symmetric multiprocessing (SMP) machines to speed up hardware simulation. We present a parallel SystemC simulation kernel, which is implemented using parallel programming techniques and leverages the parallel execution capabilities of multi-core machines to speed up hardware simulation. We discuss the mechanism we use for mapping parallel SystemC modules into different cores. Finally we report the performance of the parallelized SystemC kernel using a linear pipelined performance model and a pipelined performance model tailored to exhibit the behavior of real world simulation. Our results demonstrate that the performance improvement obtained by using parallelized SystemC for simulation of the above models is significant and improves with increasing design complexity of the simulated design and the number of cores in the machine running the simulators.

关键词： SoC TLM SystemC Core affinity OSCI SMP

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GPU-based Real-Time Execution of Vehicular Mobility Models in Large-Scale Road Network Scenarios 09

GPU-based Real-Time Execution of Vehicular Mobility Models i...

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23rd International workshop on Principles of Advanced and distributed simulation

作者： Perumalla, Kalyan S. Aaby, Brandon G. Yoginath, Srikanth B. Seal, Sudip K. Oak Ridge Natl Lab Oak Ridge TN 37831 USA

ISBN: (纸本)9780769537139

A methodology and its associated algorithms are presented for mapping a novel, field-based vehicular mobility model onto graphical processing unit computational platform for simulating mobility in large-scale road networks. Of particular focus is the achievement of real-time execution, on desktop platforms, of vehicular mobility on road networks comprised of millions of nodes and links, and multi-million counts of simultaneously active vehicles. The methodology is realized in a system called GARFIELD, whose implementation details and performance study are described The runtime characteristics of a prototype implementation are presented that show real-time performance in simulations of networks at the scale of a few states of the US road networks.

关键词： GPUs parallel simulation Vehicular Mobility Models Transportation Networks

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distributed and parallel Admission Control for Core-stateless Networks

Distributed and Parallel Admission Control for Core-stateles...

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1st International workshop on Education Technology and Computer Science

作者： Shao, Huagang Chen, Xiao Shanghai Inst Technol Dept Comp Sci Shanghai 200235 Peoples R China Shanghai Jiao Tong Univ Shanghai 200030 Peoples R China

ISBN: (纸本)9780769535579

In this paper we propose a scalable admission control scheme for the QoS sensitivity traffic in core-stateless networks. In our scheme, the ingress routers perform admissibility test in a fully distributed and parallel fashion for requests by dint of our bandwidth dividing based virtual link mechanism. Then, we introduce a novel two phase token passing mechanism to adaptively optimize the proportion of bandwidth dividing among contending edge routers according to the dynamic of their traffic. In addition, we adopt a measurement based admission decision-making criterion to gain the benefit of high utilization of statistical multiplexing. Our simulation results are very promising indicating that even under very high request load it is possible to perform admission control and resource allocation in parallel without suffering in terms of response time, packet loss rate, or utilization.

关键词： Core-stateless Admission Control distributed parallel QoS

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2009 ACM/IEEE/SCS 23rd workshop on Principles of Advanced and distributed simulation, PADS '09

2009 ACM/IEEE/SCS 23rd Workshop on Principles of Advanced an...

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2009 ACM/IEEE/SCS 23rd workshop on Principles of Advanced and distributed simulation, PADS '09

ISBN: (纸本)9780769537139

The proceedings contain 18 papers. The topics discussed include: an approach for validation of semantic composability in simulation models;symbiotic simulation model validation for radiation detection applications;causal program slicing;a performance evaluation of the lightweight time warp protocol in optimistic parallel simulation of DEVS-based environmental model;scalable time warp on blue gene supercomputers;real-time security exercises on a realistic interdomain routing experiment platform;modeling and evaluation of rescue operations using mobile communication devices;parallelizing SystemC kernel for fast hardware simulation on SMP machines;GPU-based real-time execution of vehicular mobility models in large-scale road network scenarios;an efficient and adaptive mechanism for parallel simulation replication;and using REST web-services architecture for distributed simulation.

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proceedings of the 2009 workshop on Bio-inspired Algorithms for distributed Systems, BADS '09

Proceedings of the 2009 Workshop on Bio-inspired Algorithms ...

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2009 workshop on Bio-inspired Algorithms for distributed Systems, BADS '09

ISBN: (纸本)9781605585840

The proceedings contain 12 papers. The topics discussed include: characterizing fault tolerance in genetic programming;proactive information caching for efficient resource discovery in a self-structured grid;crystal-growth-inspired algorithms for computational grids;an innovative perspective on mapping in grids;a distributed ant-based algorithm for numerical optimization;evolutionary P2P network adaptively changing its topologies for reliable searching;an evaporative approach to handle dynamics in diffusive aggregation schemes;asynchronous simulation of a self-synchronized duty-cycling mechanism for mobile sensor networks;power-efficient epidemic information dissemination in sensor networks;swarm intelligence based energy saving and load balancing in wireless ad hoc networks;high performance genetic programming on GPU;and fastest parallel molecular algorithms for the elliptic curve discrete logarithm problem over GF(2n).

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