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检索条件"任意字段=International Symposium on Databases in Parallel and Distributed Systems"

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The Task Distribution and Scheduling of The parallel Delivery System for Massive databases

The Task Distribution and Scheduling of The Parallel Deliver...

引用

IFIP international Conference on Network and parallel Computing Workshops (NPC Workshops)

作者： Gong Yue Wang Yuzhuo Xu Zhanbo Ge Shan Zhao Xin Fu Huixia The College of Computer Science and Technology Changchun University of Science and Technology Changchun China

A dynamic task distribution and scheduling technology of a message middleware for parallel data delivery on massive database systems is presented. The techniques of computer cluster and parallel processing are used to implement the task definition and distribution, processor scheduling, parallel data delivery for massive different structure databases. It implements the massive data parallel exchange between isomerism databases on a large-scale network and multi layer networks, with the method of database synchronization mechanism , configuration technique.

关键词： Processor scheduling Middleware parallel processing Dynamic scheduling Educational institutions Computer science Database systems Concurrent computing distributed computing Large-scale systems

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A Framework for Modeling Operating System Mechanisms in the Simulation of Network Protocols for Real-Time distributed systems

A Framework for Modeling Operating System Mechanisms in the ...

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： Paolo Pagano Prashant Batra Giuseppe Lipari Scuola Superiore Sant'' Anna Pisa Italy

In this paper we present a software tool for the simulation of distributed real-time embedded systems. Our tool is based on the popular NS-2 package for simulating the networking aspects, and on the RTSim package for the realtime operating system aspects. By reusing much of the existing code, our simulator covers a very wide range of network protocols and real-time mechanisms. After describing the architecture of our tool, we tested it in a simple wireless sensor networks scenario, and we measured the latency in transmitting and receiving messages due to the concurrent activities in the nodes. These effects have been tested against two node scheduling policies, and under different load conditions in the CPU of the nodes.

关键词： Operating systems Protocols Real time systems Wireless sensor networks Software tools Delay Packaging Quality of service Embedded system Testing

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STAMP: A Universal Algorithmic Model for Next-Generation Multithreaded Machines and systems

STAMP: A Universal Algorithmic Model for Next-Generation Mul...

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： Michel Dubois Hyunyoung Lee Lan Lin Department of Electrical Engineering University of Southern California Los Angeles CA USA Department of Computer Science University of Denver Denver CO USA

We propose a generic algorithmic model called STAMP(synchronous, transactional, and asynchronous multi-processing) as a universal performance and power complexity model for multithreaded algorithms and systems. We provide examples to illustrate how to design and analyze algorithms using STAMP and how to apply the complexity estimates to better utilize CMP(chip multiprocessor)-based machines within given constraints such as power.

关键词： Power system modeling Clocks Yarn Algorithm design and analysis CMOS technology parallel processing parallel algorithms Frequency USA Councils CMOS process

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Improved Output Jitter Calculation for Compositional Performance Analysis of distributed systems

Improved Output Jitter Calculation for Compositional Perform...

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： Rafik Henia Razvan Racu Rolf Ernst Institute of Computer and Communication Network Engineering Technical University of Braunschweig Brunswick Germany

Compositional performance analysis iteratively alternates local scheduling analysis techniques and output event model propagation between system components to enable performance analysis of heterogeneous distributed systems. In spite of its high scalability and adaptability, the compositional approach may suffer from overestimated results compared with other system performance verification techniques. The main reason is an incomplete consideration of event sequence correlations. In this paper we present a new technique that improves the output jitter calculation by correlating jitter and response times and offers significantly tighter analysis bounds.

关键词： Jitter Performance analysis Processor scheduling Job shop scheduling Algorithm design and analysis Scheduling algorithm Real time systems Delay Time division multiple access Round robin

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Programming distributed Memory Sytems Using OpenMP

Programming Distributed Memory Sytems Using OpenMP

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international symposium on parallel and distributed Processing (IPDPS)

作者： Ayon Basumallik Seung-Jai Min Rudolf Eigenmann School of Electrical and Computer Engineering Purdue University West Lafayette IN USA

OpenMP has emerged as an important model and language extension for shared-memory parallel programming. On shared-memory platforms, OpenMP offers an intuitive, incremental approach to parallel programming. In this paper, we present techniques that extend the ease of shared-memory parallel programming in OpenMP to distributed-memory platforms as well. First, we describe a combined compile-time/runtime system that uses an underlying software distributed shared memory system and exploits repetitive data access behavior in both regular and irregular program sections. We present a compiler algorithm to detect such repetitive data references and an API to an underlying software distributed shared memory system to orchestrate the learning and proactive reuse of communication patterns. Second, we introduce a direct translation of standard OpenMP into MPI message-passing programs for execution on distributed memory systems. We present key concepts and describe techniques to analyze and efficiently handle both regular and irregular accesses to shared data. Finally, we evaluate the performance achieved by our approaches on representative OpenMP applications.

关键词： Application software parallel programming Software systems Runtime Concurrent computing distributed computing Software algorithms Communication system software Message passing Software performance

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Multi-Core Model Checking with SPIN

Multi-Core Model Checking with SPIN

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international symposium on parallel and distributed Processing (IPDPS)

作者： Gerard J. Holzmann Dragan Bosnacki Jet Propulsion Laboratory Laboratory for Reliable Software Pasadena CA USA Eindhovan University of Technology Eindhoven Netherlands

We present the first experimental results on the implementation of a multi-core model checking algorithm for the SPIN model checker. These algorithms specifically target shared-memory systems, and are initially restricted to dual-core systems. The extensions we have made require only small changes in the SPIN source code, and preserve virtually all existing verification modes and optimization techniques supported by SPIN, including the verification of both safety and liveness properties and the verification of SPIN models with embedded C code fragments.

关键词： Logic Power system modeling Safety Laboratories Radio access networks Clocks Load management Algorithm design and analysis distributed algorithms Software systems

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parallel association rule mining based on FI-growth algorithm

Parallel association rule mining based on FI-growth algorith...

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international Conference on parallel and distributed systems (ICPADS)

作者： Bundit Manaskasemsak Nunnapus Benjamas Arnon Rungsawang Athasit Surarerks Putchong Uthayopas MIKE Laboratory Department of Computer Engineering Kasetsart University Bangkok Thailand HPCNC Laboratory Department of Computer Engineering Kasetsart University Bangkok Thailand Thai National Grid Center Software Industry Promotion Agency Ministry of Information and Communication Technology Thailand ELITE Laboratory Department of Computer Engineering Chulalongkom University Bangkok Thailand

Association rule mining is one of the most important techniques in data mining. It extracts significant patterns from transaction databases and generates rules used in many decision support applications. Many organizations such as industrial, commercial, or even scientific sites may produce large amount of transactions and attributes. Mining effective rules from such large volumes of data requires much time and computing resources. In this paper, we propose a parallel Fl-growth association rule mining algorithm for rapid extraction of frequent itemsets from large dense databases. We also show that this algorithm can efficiently be parallelized in a cluster computing environment. The preliminary experiments provide quite promising results, with nearly ideal scaling on small clusters and about half of ideal (15 fold speedup) on a thirty-two processor cluster.

关键词： Association rules Data mining Itemsets Transaction databases Concurrent computing Grid computing Data engineering Clustering algorithms Marketing and sales Partitioning algorithms

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Automatic Program Segment Similarity Detection in Targeted Program Performance Improvement

Automatic Program Segment Similarity Detection in Targeted P...

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international symposium on parallel and distributed Processing (IPDPS)

作者： Haiping Wu Eunjung Park Mihailo Kaplarevic Yingping Zhang Murat Bolat Xiaoming Li Guang R. Gao Department of Electrical and Computer Engineering University of Delaware Newark DE USA Digital Enterprise Group Intel Corporation Chandler AZ USA

Targeted optimization of program segments can provide an additional program speedup over the highest default optimization level, such as -O3 in GCC. The key challenge is how to automatically search for performance sensitive program segments in a given code, to which a customized set of optimization compiler options could be applied. In this paper we propose a method for automatic detection of performance sensitive program segments based on program segment similarity. First we create a proxy segment template database trained over a set of random input programs. The compiler identifies program segments by correlating them to the pre-build proxy segment templates using the syntax structure and architecture-dependent behavior similarity. We argue that the identified program segments can be custom optimized to improve the overall program performance. The method is evaluated on the Intel XScale PXA255 platform using randomly selected benchmarks. The experimental results show that our method can provide additional speedups over the highest optimization level in GCC 3.3 (-O3) for an arbitrary set of applications.

关键词： Optimizing compilers Program processors Optimization methods Data structures databases High performance computing Learning systems Kernel

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Multi-point queries in large spatial databases

Multi-point queries in large spatial databases

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3rd IASTED international Conference on Advances in Computer Science and Technology, ACST 2007

作者： Hoong, Kee Ng Hon, Wai Leong Department of Computer Science National University of Singapore 3 Science Drive 2 Singapore 117543 Singapore

ISBN: (纸本)9780889866560

This paper revisits multi-point range query (MPRQ) for 2-d spatial database. In a previous paper, we introduced an efficient algorithm, PRQ, to answer the query for the case where database resides in main memory. This paper extends the algorithm to the general case in which the database is large and has to reside on disk. The MPRQ is defined as: Given a set of query points, P = {p1, p2, ..., pn}, and a search distance d, report all points in the spatial database that are within a distance d of some point pi in P. The simple method of performing Repeated Range Query (RRQ), i.e. the standard range query for each query point pi (1 £ i £ n) and combining the results is inefficient as it involves multiple searches on the database. We show that PRQ-Disk still achieve better results and outperform RRQ-Disk, as in the case of main memory. Extensive experiments using various real-life datasets, different Rtree variants (including bulk-loaded ones), over different query paths P, search distances d, and LRU buffering show that PRQ-Disk outperforms RRQ-Disk in terms of both query time and I/Os.

关键词： Query processing

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Process Replication with Log-Based Amnesia Support

Process Replication with Log-Based Amnesia Support

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international symposium on parallel and distributed Computing

作者： Ruben de Juan-Marin Luis Irun-Briz Francesc D. Munoz-Escoi Instituto Tecnológico de Informática Universidad Politécnica de Valencia Valencia Spain

ISBN: (纸本)9780769529172;0769529178

Process replication is used for providing highly available and fault-tolerant systems. Traditionally, for simplicity reasons they have assumed the crash-stop failure model. This paper, instead, encourages the use of the crash-recovery with partial amnesia failure model when managing large state amounts, presenting the arising problems of this assumption and outlining how they can be managed. Finally, an overhead analysis is presented.

关键词： Computer crashes Fault tolerant systems Broadcasting Synchronization Fault detection Costs Checkpointing Clocks distributed computing

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