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检索条件"任意字段=PDSE 2000: International Symposium on Software Engineering for Parallel and Distributed Systems"

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The case for dynamic real-time task timing in modern real-time systems

The case for dynamic real-time task timing in modern real-ti...

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international symposium on parallel and distributed Processing (IPDPS)

作者： S.A. Brandt Computer Science Department University of California Santa Cruz USA

Summary form only given. Traditional real-time systems require a priori knowledge of process period and worst-case execution times in order to guarantee application and system performance. Traditional static worst-case execution time analysis has been developed to support this requirement. However, real-time systems have grown beyond static applications developed for unchanging and well-documented hardware and software architectures. They now include (perhaps predominately) a large variety of highly dynamic applications, written by a large number of developers inexperienced with traditional real-time design, and executed on widely varying hardware and software platforms in competition with greedy best-effort applications with unknown processing characteristics. In such an environment, static timing analysis or specification is useless. This sea change in application and system characteristics requires a corresponding change in the tools and techniques used to characterize the application requirements and to meet those requirements. In many instances, dynamic analysis is the only possibly solution.

关键词： Real time systems Computer aided software engineering Timing Application software Hardware Bandwidth Digital audio players Games Computer science System performance

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A flexible IO scheme for grid workflows

A flexible IO scheme for grid workflows

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： David Abramson Jagan Kommineni School of Computer Science & Software Engineering Monash University Clayton Australia

ISBN: (纸本)0769521320

Summary form only given. Computational grids have been proposed as the next generation computing platform for solving large-scale problems in science, engineering, and commerce. There is an enormous amount of interest in applications, called grid workflows in which a number of otherwise independent programs are run in a "pipeline". In practice, there are a number of different mechanisms that can be used to couple the models, ranging from loosely coupled file based IO to tightly coupled message passing. We propose a flexible IO architecture that provides a wide range of mechanisms for building grid workflows without the need for any source code modification and without the need to fix them at design time. Further, the architecture works with legacy applications. We evaluate the performance of our prototype system using a workflow in computational mechanics.

关键词： Grid computing High performance computing Application software distributed computing Power engineering computing Instruments Large-scale systems Business Message passing Computer architecture

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software organization to facilitate dynamic processor scheduling

Software organization to facilitate dynamic processor schedu...

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international symposium on parallel and distributed Processing (IPDPS)

作者： R.K. Clark E.D. Jensen N.F. Rouquette MITRE Corporation Bedford MA USA Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA

Summary form only given. The NASA Jet Propulsion Laboratory (JPL) is developing the mission data system (MDS) for potential use in future space missions, where it is expected to reduce the complexity and effort required to produce mission and ground-support software, while also enabling greater autonomy for remotely deployed systems, including future planetary rovers. The MDS software architecture includes two levels of processor scheduling: a high-level planner and a low-level execution manager. JPL and MITRE are investigating the use of time-utility functions to manage tow-level scheduling, since they promise to enable adaptive, short-term processor scheduling based on mission utility. Recent development work on MDS has focused on organizing the software so that low-level processor scheduling will be most effective. We describe the major organizing principles that have shaped this work.

关键词： Processor scheduling Propulsion Laboratories Data systems Space missions Organizing System testing Computer architecture Dynamic scheduling systems engineering and theory

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Reconfiguration of RAID-like data layouts in distributed storage systems

Reconfiguration of RAID-like data layouts in distributed sto...

引用

international symposium on parallel and distributed Processing (IPDPS)

作者： P. Sobe Institute of Computer Engineering University of Lübeck Germany

Summary form only given. Clustering of several storage servers is a common way to build fast and fault tolerant storage systems. One application can be found in the context of parallel programs that already run on clustered systems and need to write and read a huge amount of data from and to disks. Another application field are Web and video streaming server that cause intense data transfer from and to disks. A distributed storage system is reviewed under the aspect of fault tolerance and reconfiguration of the data layout after faults. Data objects are stored in a data layout according to RAID level 3 among disk subsystems of different computers. Concurrent up-and down-streaming of data is provided by a technique that ensures data consistency. This consistency has been found to be beneficial for concurrent access and reconfiguration. Beyond, the system does not need a meta-data server, which often represents a bottleneck for distributed storage systems.

关键词： Fault tolerant systems Computer networks File systems Storage area networks Application software Streaming media Computer network reliability Network servers Scalability Communication system control

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Utility-function based resource allocation for adaptable applications in dynamic, distributed real-time systems

Utility-function based resource allocation for adaptable app...

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international symposium on parallel and distributed Processing (IPDPS)

作者： F. Drews L. Welch D. Juedes D. Fleeman A. Bruening K. Ecker M. Hoefer Center for Intelligent Distributed and Dependable Systems School of Electrical Engineering and Computer Science Ohio University Athens OH USA Department of Computer Science Technical University of Clausthal-Zellerfeld Clausthal-Zellerfeld Germany

Summary form only given. We propose architecture and a general optimization framework for dynamic, distributed real-time systems. Interesting features of this model include the consideration of adaptive applications and utility functions. We extend by formalizing the corresponding multicriterial optimization problem. As the most difficult part of this problem, we identified the evaluation and comparison of the quality of single allocations and sets of allocations, respectively. To this end, we propose and examine metrics for measuring the goodness of solutions within our general resource management framework. These metrics lay the basis for further work on developing both online and offline algorithms to tackle the general optimization problem and provide an efficient adaptive resource manager for dynamic, distributed real-time systems.

关键词： Resource management Real time systems Application software Computer science Space technology Geoscience Satellites Sensor arrays Middleware Degradation

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A new approach to distribute program workload on software DSM clusters

A new approach to distribute program workload on software DS...

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international symposium on parallel Architectures, Algorithms and Networks (ISPAN)

作者： Tyng-Yeu Liang Yen-Tso Liu Ce-Kuen Shieh Chun-Yi Wu Department of Electrical Engineering National Kaohsiung University of Applied Sciences Kaohsiung Taiwan Department of Electrical Engineering National Cheng Kung University Tainan Taiwan

ISBN: (纸本)0769521355

The workload distribution approaches used by software distributed shared memory (DSM) clusters always distribute the working threads of applications according to the computational power of processors. However, in addition to computational cost, the cost of memory accesses is an important factor for determining program performance. Neglecting this cost will result in making wrong decisions in workload distribution and then degrading program performance. To address this problem, we propose a new approach with simultaneously considering the memory capability and the computational power of processors for workload distribution on software DSM clusters in this paper. We have implemented the proposed approach on a test bed. Our experimental results show that the proposed approach can provide more performance improvement for the applications compared to the others with considering only computational powers or memory capabilities.

关键词： Yarn Application software distributed computing Computational efficiency Power engineering computing Costs Degradation Testing Large-scale systems Computer networks

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Autonomic proactive runtime partitioning strategies for SAMR applications

Autonomic proactive runtime partitioning strategies for SAMR...

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international symposium on parallel and distributed Processing (IPDPS)

作者： S. Chandra M. Parashar Y. Zhang J. Yang S. Hariri HPDC Laboratory University of Arizona Tucson USA Applied Software Systems Laboratory ECE/CAIP Rutgers University USA

Summary form only given. Dynamic structured adaptive mesh refinement (SAMR) techniques along with the emergence of the computational grid offer the potential for realistic scientific and engineering simulations of complex physical phenomena. However, the inherent dynamic nature of SAMR applications coupled with the heterogeneity and dynamism of the underlying grid environment present significant research challenges. We present proactive runtime partitioning strategies based on performance prediction functions that are experimentally formulated in terms of system parameters such as CPU load and available memory. These proactive partitioning strategies form a part of the GridARM autonomic framework which enables self-managing, self-adapting, and self-optimizing SAMR applications on the grid. Experimental evaluation of the proactive schemes using the 3D Richtmyer-Meshkov compressible fluid dynamics kernel for different system configurations and workloads demonstrates the improvement in overall runtime performance.

关键词： Runtime Grid computing Computational modeling Application software Laboratories Adaptive mesh refinement Physics computing Fluid dynamics Kernel software systems

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CARUSO - an approach towards a network of low power autonomic systems on chips for embedded real-time applications

CARUSO - an approach towards a network of low power autonomi...

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international symposium on parallel and distributed Processing (IPDPS)

作者： U. Brinkschulte J. Becker T. Ungerer Department of Computer Science University of Karlsruhe Germany Department of Electrical Engineering University of Karlsruhe Germany Department of Applied Computer Science University of Augsburg

Summary form only given. We propose CARUSO - a new SoC approach that emphasizes connectivity, autonomic computing principles, real-time, and ultra-low power requirements. The requirements shall be fulfilled by a multithreaded processor core within a reconfigurable SoC. A helper thread running with low priority in an own thread slot concurrent to the application implements an autonomic manager that monitors the application. A middleware decides if self-optimization, self-configuration, self-protection, or self-healing techniques must be triggered based on the autonomic manager's information and further application knowledge.

关键词： Real time systems Middleware Hardware Energy consumption Yarn Application software distributed computing System-on-a-chip Computer science Embedded computing

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Fault-aware job scheduling for BlueGene/L systems

Fault-aware job scheduling for BlueGene/L systems

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international symposium on parallel and distributed Processing (IPDPS)

作者： A.J. Oliner R.K. Sahoo J.E. Moreira M. Gupta A. Sivasubramaniam Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology Cambridge MA USA IBM Thomas J. Watson Research Center Yorktown Heights NY USA Department of Computer Science and Engineering Pennsylvania State University University Park PA USA

Summary form only given. Large-scale systems like BlueGene/L are susceptible to a number of software and hardware failures that can affect system performance. We evaluate the effectiveness of a previously developed job scheduling algorithm for BlueGene/L in the presence of faults. We have developed two new job-scheduling algorithms considering failures while scheduling the jobs. We have also evaluated the impact of these algorithms on average bounded slowdown, average response time and system utilization, considering different levels of proactive failure prediction and prevention techniques reported in the literature. Our simulation studies show that the use of these new algorithms with even trivial fault prediction confidence or accuracy levels (as low as 10%) can significantly improve the performance of the BlueGene/L system.

关键词： Large-scale systems Processor scheduling Delay parallel machines Scheduling algorithm Concurrent computing Switches Time sharing computer systems Computer science Laboratories

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Improving performance of Java applications using a coprocessor

Improving performance of Java applications using a coprocess...

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international symposium on parallel and distributed Processing (IPDPS)

作者： F. Li M. Kandemir Department of Computer Science & Engineering Pennsylvania State University University Park PA USA

Summary form only given. Java technology is becoming a significant force stimulating the evolution of embedded systems. One of the problems in front of it is its poor performance. An important component of this performance problem is the overhead time spent during dynamic compilation. We demonstrate that a dual-processor heterogeneous architecture that employs both a conventional CPU and a Java coprocessor dedicated to compilation can be very effective in hiding the time spent in dynamic compilation. We propose two different profile-driven algorithms that make use of such a coprocessor based system, and evaluate them using a set of Java benchmarks. Our results clearly indicate that it is possible to improve overall performance by intelligently scheduling dynamic compilations on the coprocessor.

关键词： Java Coprocessors Dynamic compiler Application software Data security Hardware Operating systems Computer science Embedded system Dynamic scheduling

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