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检索条件"任意字段=19th IASTED International Conference on Parallel and Distributed Computing and Systems"

共 564 条记录，以下是381-390 订阅

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Machine Learning Approach to Tuning distributed Operating System Load Balancing Algorithms 19

Machine Learning Approach to Tuning Distributed Operating Sy...

引用

19th international conference on parallel and distributed computing systems, PDCS 2006

作者： Meehan, J. Michael Ritter, Alan Computer Science Department Western Washington University BellinghamWA98225 United States

ISBN: (纸本)9781604236446

this work concerns the use of machine learning techniques (genetic algorithms) to optimize load balancing policies in the openMosix distributed operating system. Parameters/alternative algorithms in the openMosix kernel were dynamically altered/selected based on the results of a genetic algorithm fitness function. In this fashion optimal parameter settings and algorithms choices were sought for the loading scenarios used as the test cases. © 19th international conference on parallel and distributed computing systems 2006, PDCS 2006. All rights reserved.

关键词： Genetic algorithms

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A Constraint-Based Framework for Concurrent and distributed Programming 19

A Constraint-Based Framework for Concurrent and Distributed ...

引用

19th international conference on parallel and distributed computing systems, PDCS 2006

作者： Ramirez, Rafael Santosa, Andrew E. Technology Department Pompeu Fabra University Barcelona Spain School of Computing National University of Singapore Singapore

ISBN: (纸本)9781604236446

Constraint-based synchronization pioneered by (concurrent) logic and concurrent constraint programming is a powerful mechanism for synchronizing concurrent computations. this paper describes (1) a general constraint-based framework which combines declarative and imperative programming for writing concurrent applications (2) a particular implementation of the framework (for both uniprocessors and distributed systems) as an extension to the Java programming language, and (3) how model-based verification methods can be directly applied to programs in the resulting language. © 19th international conference on parallel and distributed computing systems 2006, PDCS 2006. All rights reserved.

关键词： Computation theory

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MSOMS: A meta simulation Framework for Optimizing Multidomain Simulation

MSOMS: A meta simulation Framework for Optimizing Multidomai...

引用

18th iasted international conference on parallel and distributed computing and systems

作者： Khan, Moinul H. Georgia Inst Technol Austin TX 78739 USA

ISBN: (纸本)9780889866386

Complex system design and analysis requires simulations with different views or domains. Multi-domain simulation models typically are a collection of simulation model integrated through various means. these concurrent models may be implemented to be closely integrated or distributed as parallel-distributed simulation or mix of the two. Performance of a coupled simulation between multiple domain models depends on various factors. Some of them are, integration backplane architecture, messaging schemes, sharing scheme, level of coupling, fidelity of domain models etc. Framework for Optimizing Multidomain Simulation (MSOMS) is a framework which can be used to estimate performance and effectiveness of integration methods under various scenarios. the framework is referred as meta-simulation, since it is a "simulation of a simulation". this paper captures formulation and demonstration of MSOMS. We compared two possible implementations of a multi-domain model using MSOMS as a case study.

关键词： multidomain modeling HLA distributed simulation

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A distributed peer-to-peer grid scheduler

A distributed peer-to-peer grid scheduler

引用

18th iasted international conference on parallel and distributed computing and systems

作者： Liu, Cong Baskiyar, Sanjeev Wang, Chengjun Auburn Univ Auburn AL 36849 USA

ISBN: (纸本)9780889866386

In a grid computing environment, dynamicity, and geographically distributed sites, make task scheduling problems challenging to solve. It is hard for a local site to obtain precise real-time information about other sites given that specific information on a site such as load and computing resources may change rapidly. Moreover, in data grid environment, large scale data intensive applications make scheduling problems even more challenging since both computational and data storage resources must be taken into consideration. In this paper we propose an innovative peer-to-peer scheduler to solve these problems. this scheduler is distributed and scalable. We used simulation to evaluate the performance of the scheduler under different circumstances, such as different number of hops to search suitable sites and different number of incoming tasks. Results show that our scheduler can successfully schedule around 75% of incoming tasks within their deadlines in average. For computation-intensive tasks, it can successfully schedule more than 90% of incoming tasks.

关键词： data grid peer-to-peer scheduler distributed scheduling

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Efficient support of fine-grained futures in Java

Efficient support of fine-grained futures in Java

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18th iasted international conference on parallel and distributed computing and systems

作者： Zhang, Lingli Krintz, Chandra Soman, Sunil Univ Calif Santa Barbara Dept Comp Sci Santa Barbara CA 93106 USA

ISBN: (纸本)9780889866386

A future is a parallel programming language construct that enables programmers to specify potentially asynchronous computations. We present and empirically evaluate a novel implementation of futures for Java. Our futures implementation is a JVM extension that couples estimates of future computational granularity with underlying resource availability to enable automatic and adaptive decisions of when to spawn futures in parallel or to execute them sequentially. Our system builds from, combines. and extends (i) lazy task creation and (ii) a JVM sampling infrastructure previously used solely for dynamic and adaptive compilation. We empirically evaluate our system using different benchmarks, triggers for automatic spawning of futures, processor availability, and JVM configurations. We show that our future implementation for Java is efficient and scalable for fine-grained Java futures without requiring programmer intervention.

关键词： Java futures fine-grained parallel programming task scheduling profile-guided

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RHT: Supporting range queries in DHT-based P2P systems

RHT: Supporting range queries in DHT-based P2P systems

引用

18th iasted international conference on parallel and distributed computing and systems

作者： Liu, Lintao Ryu, Kyung Dong Arizona State Univ Dept Comp Sci & Engn Tempe AZ 85287 USA IBM Corp TJ Watson Res Ctr Hawthorne NY 10532 USA

ISBN: (纸本)9780889866386

An efficient range query processing support is required for distributed Hash Table (DHT)-based P2P networks as consistent hashing destroys the inherent order of numeric keys. In this paper, we present a lightweight and efficient mechanism, called Range Hash Tree (RHT), to support range queries on DHTs. In RHT, key space is partitioned into small ranges such that data items within one range can be stored on one node. To quickly resolve a range query, we introduce a scalable encoding algorithm that can represent the key space partitioning status with a small RHT Signature. Compared to other approaches, RHT provides a bounded query delay, which is independent of the size of range query and the number of matching data items. Our experiments show that RHT works efficiently on both uniform and much skewed data distributions.

关键词： range queries distributed Hash Table signature Peer-to-Peer distributed computing

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Communication-aware parallel Domain Decomposition using Space Filling Curves 19

Communication-aware Parallel Domain Decomposition using Spac...

引用

19th international conference on parallel and distributed computing systems, PDCS 2006

作者： Seal, Sudip Aluru, Srinivas Department of Electrical and Computer Engineering Iowa State University AmesIA50011 United States

ISBN: (纸本)9781604236446

Space filling curves (SFCs) are proximity preserving linearizations of multidimensional data. they are frequently used for parallel domain decomposition in scientific computing applications where interactions occur between elements with physical proximity. the conventional way to affect SFC-based parallel domain decomposition is to take the SFC-linearization and map it to processors in a block distributed fashion. In this paper, we derive closed form formulas for the average nearest neighbor distance along a Z-space filling curve and use this result to show that such a mapping may not be communication efficient. We introduce topology-aware mapping of SFC data to parallel computers and show that SFC data can be partitioned on hypercubes such that communication is restricted to nearest neighbors. © 19th international conference on parallel and distributed computing systems 2006, PDCS 2006. All rights reserved.

关键词： Mapping

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AN IMPROVED PROCESSOR ALLOCATION SCHEME for MIXED parallel TASK GRAPHS 19

AN IMPROVED PROCESSOR ALLOCATION SCHEME for MIXED PARALLEL T...

引用

19th international conference on parallel and distributed computing systems, PDCS 2006

作者： Bansal, Savina Kumar, Padam Singh, Kuldip Deptt of ECE GZSCET Bathinda India Deptt of E &CE IIT Roorkee India

ISBN: (纸本)9781604236446

A two-step Modified Critical Path and Area-based (MCPA) scheduling heuristic is developed which targets at improving the processor allocation phase of an existing Critical Path and Area-based (CPA) scheduling algorithm. Strength of the suggested algorithm lies in bridging the gap between the processor allocation and task assignment phases of scheduling. Performance of the suggested algorithm, as evaluated for random and real application task graph suite, is better than the CPA algorithm and comparable to more complex CPR algorithm. © 19th international conference on parallel and distributed computing systems 2006, PDCS 2006. All rights reserved.

关键词： Scheduling algorithms

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Reliable Scheduling of Stochastic Tasks in Heterogeneous distributed computing systems 19

Reliable Scheduling of Stochastic Tasks in Heterogeneous Dis...

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19th international conference on parallel and distributed computing systems, PDCS 2006

作者： Maksoud, Ehab Abdel Ammar, Reda A. Faculty of Engineering Cairo University Egypt Computer Science and Engineering Department University of Connecticut United States

ISBN: (纸本)9781604236446

High performance and reliability are critical requirements for real time systems. Efficient scheduling that assigns tasks of an application to suitable processors in these systems is necessary for achieving high performance. In a previous work, we developed a heuristic algorithm for scheduling a set of independent stochastic tasks in a homogeneous multiprocessor system, to yield the maximum probability for each task to meet its deadline. In this paper, we extend this work to schedule tasks in heterogeneous computing environments. We also present an efficient reliable simple heuristic algorithm to distribute tasks among available processors to maximize simultaneously both of the reliability of the application and the performance measures, such as the success ratio and processor utilization. © 19th international conference on parallel and distributed computing systems 2006, PDCS 2006. All rights reserved.

关键词： Scheduling algorithms

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Effective Execution Time Estimation for Heterogeneous parallel computing 19

Effective Execution Time Estimation for Heterogeneous Parall...

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19th international conference on parallel and distributed computing systems, PDCS 2006

作者： Sun, Junqing Peterson, Gregory D. Electrical and Computer Engineering The University of Tennessee KnoxvilleTN United States

ISBN: (纸本)9781604236446

Finding the expectation of the maximum execution time among parallel processors is crucial in parallel performance evaluation. Unfortunately, current analytical methods for maximum mean calculation cannot be applied to non-identical initial distributions. Even for independent, identical initial distributions, current analytical methods can only apply to certain distributions or are not accurate. Numerical methods are usually too computationally expensive. this paper applies properties of Extreme Values to enable the Effective Maximum Mean Approximation (EMMA) method. When compared to previous methods, it is more general, accurate, convenient and computationally effective. © 19th international conference on parallel and distributed computing systems 2006, PDCS 2006. All rights reserved.

关键词： Numerical methods

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