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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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parallelization of multimedia applications on the multi-level computing architecture

Parallelization of multimedia applications on the multi-leve...

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

作者： Aydonat, Utku Abdelrahman, Tarek S. Univ Toronto Dept Elect & Comp Engn 100 Coll St Toronto ON Canada

ISBN: (纸本)9780889866386

the Multi-Level computing Architecture (MLCA) is a novel parallel System-on-a-Chip architecture targeted for multimedia applications. It features a top level controller that automatically extracts task level parallelism using techniques similar to how instruction level parallelism is extracted by superscalar processors. this allows the MLCA to support a simple programming model that is similar to sequential programming. In order to assist programmers to easily and efficiently port multimedia applications to the MLCA programming model, a compilation environment is designed. this compilation environment enhances parallelism in MLCA programs by applying three simple code transformations that are based on known compiler optimizations. In this paper, we describe the MLCA architecture, its programming model, its compilation environment and an evaluation of its performance. Our experimental evaluation with three real multimedia applications and an MLCA simulator shows that the MLCA is a viable architecture and scaling speedups can be obtained using the compilation environment with little programmer effort.

关键词： parallel-embedded systems compiler optimizations privatization parallelism enhancement

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FastPara: a high-level declarative data-parallel programming framework on clusters

FastPara: a high-level declarative data-parallel programming...

引用

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

作者： Mao, Yong Gu, Yunhong Chen, Jia Grossman, Robert L. Univ Illinois Lab Adv Comp 322 SEOM-C 249851S Morgan Chicago IL 60607 USA

ISBN: (纸本)9780889866386

this paper presents FastPara, a C++ programming framework and associated runtime support for writing and running data-parallel applications in computer cluster environments. With FastPara, the user writes a declaration of the data to be exchanged between processes for a certain data-parallel processing algorithm. FastPara will handle all the process communications without any users' efforts. Complex data structures and variable-length arrays are well supported so that users can easily apply this framework to their data-parallel applications. FastPara's runtime provides built-in support for process management and fault tolerance for the parallel processing. FastPara can greatly simplify the development cycle. Based on the performance tests we did, FastPara demonstrated good communication efficiency and little process coordination overhead. We believe that FastPara is a very useful framework in developing data-parallel applications.

关键词： parallel-programming framework data-parallel cluster

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A PC-based parallel Programming System 19

A PC-based Parallel Programming System

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

作者： Wang, Baoying Gong, Qi Hu, Jie Waynesburg College WaynesburgPA15370 United States St. Cloud State University St. CloudMN56301 United States

ISBN: (纸本)9781604236446

parallel computing is primarily used in supercomputer environment with many available application tools. Since the early 1990s, there has been an increasing trend to move away from expensive and specialized parallel supercomputers towards networks of workstations (NOW) because of their low cost and lost risk. However, there is still a lack of tools for developing and running parallel applications on a NOW environment. this paper presents an object-oriented, parallel programming system using a network of PCs on a LAN (local area network). Our goal is to provide a cost-effective, easy to use, and fault tolerant system with a "single image". the system tests show that our primary goals have been achieved. © 19th international conference on parallel and distributed computing systems 2006, PDCS 2006. All rights reserved.

关键词： Fault tolerance

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INTESER: An integrated solution to provide QoS, traffic engineering and fault tolerance in an MPLS network

INTESER: An integrated solution to provide QoS, traffic engi...

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

作者： Che, Hao Gupta, Manoj Velayutham, Sundar Lagoa, Constantino Wang, Zhijun Univ Texas Arlington Comp Sci & Engn Arlington TX 76019 USA Penn State Univ Elect Engn State Coll PA USA Hong Kong Polytech Univ Comp Sci Hong Kong Hong Kong Peoples R China

ISBN: (纸本)9780889866386

In this paper, we put forward an integrated solution to provide service quality features in an MPLS network, called Integrated, QoS-based Traffic Engineering with Service Restoration (INTESER). INTESER employs a distributed multipath forwarding paradigm in an MPLS domain to enable optimal, QoS-aware traffic engineering and service restoration through static call admission control, and dynamic load balancing and rate adaptation at the domain edge. the core nodes can be QoS agnostic and use a single FIFO queue at each output port. Preliminary simulation results demonstrate the promising prospective of the proposed solution as a simpler and more scalable alternative to the existing solutions.

关键词： MPLS quality of service traffic engineering service restoration distributed control resource provisioning

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parallel Algorithm for the Genetic KNN-Impute Algorithm 19

Parallel Algorithm for the Genetic KNN-Impute Algorithm

引用

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

作者： Rekapalli, Bhanu Peterson, Gregory Rose, John Hillhouse, Bob Department of Electrical & Computer Engineering The University of Tennessee KnoxvilleTN37996 United States Web Services Group The University of Tennessee KnoxvilleTN37996 United States

ISBN: (纸本)9781604236446

Microarray experiments generate a plethora of genomic data;therefore, we need techniques and architectures to analyze this data more quickly. the paper presents a solution for reducing the computation time of one of the highly computationally intensive data analysis parts of a Stanford Microarray Database (SMD) application. the paper describes the computationally intensive K-Nearest Neighbors (KNN) imputation algorithm used in SMD. Performance of the parallel implementation scales well for larger problem sizes. © 19th international conference on parallel and distributed computing systems 2006, PDCS 2006. All rights reserved.

关键词： Nearest neighbor search

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A Quorum-Based Algorithm for Group Mutual Exclusion 19

A Quorum-Based Algorithm for Group Mutual Exclusion

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

作者： thiare, Ousmane Naimi, Mohamed Department of Computer Science LICP EA2175 University of Cergy-Pontoise France

ISBN: (纸本)9781604236446

Group mutual exclusion is a naturel problem, formulated by Joung, that generalize the classical mutual exclusion problem. In group mutual exclusion a process requests a"session" before entering its critical section;processes are allowed to be in the critical section simultaneously provides they have requested the same session. We propose in this paper a quorum-based algorithm for group mutual exclusion. this algorithm assumes that only one session can be opened at any time, several process can access to the same session, and any requested session can be opened in a finite time. © 19th international conference on parallel and distributed computing systems 2006, PDCS 2006. All rights reserved.

关键词： distributed computer systems

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Memory utilization analysis of Java middleware for distributed real-time and embedded systems

Memory utilization analysis of Java middleware for distribut...

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

作者： Qu, Runtao Hirano, Satoshi Ohkawa, Takeshi AIST Natl Inst Adv Ind Sci & Technol Informat Technol Res Inst AIST Tsukuba Cent 2 Tsukuba Ibaraki 3058568 Japan

ISBN: (纸本)9780889866386

distributed object-oriented middleware technologies have been adopted for ubiquitous communicating real-time and embedded systems. Although Java plays an important role in building distributed object-oriented middleware because of its portability and productivity, it is not popularto real-time system developers because it is slow and hard to keep real-timeness due to garbage collection. this paper presents a novel memory classification and measurement approach for modem programming language such as Java to analyze the memory utilization of middleware technologies in order to improve them for embedded systems using limited computing resource. We classified Java memory into four categories such as static, quasi-static, quasi-dynamic and dynamic, and show how to measure the size of each memory. Intensive case studies using popular Java middleware technologies such as Web Services, CORBA, RMI and HORB revealed that reducing the use of dynamic memory has contributed far more to the efficiency and performance than reducing the use of quasi-static and quasi-dynamic memory.

关键词： memory analysis Java middleware distributed system

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Dynamic evolution in a survivable application infrastructure

Dynamic evolution in a survivable application infrastructure

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

作者： thorvaldsson, Haraldur D. Goldman, Kenneth J. Washington Univ Dept Comp Sci & Engn St Louis MO 63130 USA

ISBN: (纸本)9780889866386

We describe a highly scalable algorithm for secure system evolution in an infrastructure for widely distributed Byzantine fault-tolerant applications. To maintain high availability, the system and its applications evolve on-line, providing uninterrupted service during installation of upgrades. Installations are made to appear atomic with respect to other installations and application execution steps. Our algorithm guarantees safe installation despite Byzantine faulty replicas and replica groups. An initial phase prepares replica groups for an upgrade, while a second phase triggers the installation of the upgrade by gossip among groups. A simple but novel scheme using secret sharing and Byzantine quorums prevents faulty replicas and replica groups from disrupting or maliciously exploiting installations. Installation message complexity and computational complexity grow linearly with the number of replicas.

关键词： fault tolerant systems dynamic evolution configurable distributed systems Byzantine fault tolerance

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