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18th IASTED international Conference on parallel and distributed Computing and systems

作者： Dong, Fangpeng Akl, Selim G. Queens Univ Sch Comp Kingston ON K7M 1B6 Canada

ISBN: (纸本)9780889866386

resources in the computational Grid nowadays are usually owned by multiple administrative domains which are connected by WANs. Grid resources have their own local management policies and a Grid scheduler cannot control resources beyond the domain of itself. scheduling algorithms designed for traditional systems do not consider these new characteristics in Grids. In this paper, a two-phase scheduling approach for DAG-based applications in the Grid is proposed. In the first phase, the task graph is partitioned according to the status of selected available resource clusters by an algorithm called GPRC. In the second phase, an algorithm called HEFT is used to map task nodes to processing nodes inside a resource cluster. GPRC does not require detailed status information or control privilege on every Grid resource so that the dependence on Grid information services is reduced and, at the same time, the higher priority of local resource management policies is respected. Analysis and experiment show the effectiveness and adaptation of this new approach in the Grid scenario.

关键词： task scheduling grid computing DAG

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A resource management system for data-intensive applications in desktop grid environments

A resource management system for data-intensive applications...

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18th IASTED international Conference on parallel and distributed Computing and systems

作者： Toyama, Toshiaki Yamada, Yoshito Konishi, Katsumi Kogakuin Univ Grad Sch Informat Dept Comp Sci & Commun Engn Tokyo Japan Tokyo Inst Technol Grad Sch Engn Dept Commun & Integrated Syst Tokyo Japan Kogakuin Univ Fac Informat Dept Comp Sci Tokyo Japan

ISBN: (纸本)9780889866386

Grid computing using idle desktop PCs is popular as a low-cost platform for high-throughput applications. However, they require high-cost data transfer systems from file servers to calculating nodes when very large amounts of data are handled. This high cost derives from inexpensive I/O of worker PCs and small inexpensive file systems of desktop grid computing. This work describes a desktop grid computing system and proposes a resource management system for volume visualization. The resource management system proposed in this work overcomes problems with high-cost data transfer and helps us to use desktop grid computing for data-intensive applications. The resource management system provides efficient scheduling while considering the data file location and consists of three technical parts: resource management, multiple data replication, and worker selection. The proposed system uses these techniques to make an intelligent reuse of data which has been previously copied. This paper evaluates the proposed system compared with a traditional system that does not consider data file location. The proposed resource management System provides efficient scheduling and appears to achieve good performance for data-intensive applications.

关键词： desktop grid computing PC grid resource management data-intensive applications volume visualization parallel visualization

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Performance prediction and its use in parallel and distributed computing systems

Performance prediction and its use in parallel and distribut...

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international workshop on Performance Modeling, Evaluation, and Optimization of parallel and distributed systems

作者： Jarvis, Stephen A. Spooner, Daniel P. Keung, Helene N. Lim Choi Cao, Junwei Saini, Subhash Nudd, Graham R. Univ Warwick Dept Comp Sci Warwick CV4 7AL England MIT Ctr Space Res Cambridge MA 02139 USA NASA Ames Res Ctr Moffett Field CA 94035 USA

ISBN: (纸本)0769519261

Performance prediction is set to play a significant role in supportive middleware that is designed to manage workload on parallel and distributed computing systems. This middleware underpins the discovery of available resources, the identification of a task's requirements and the match-making, scheduling and staging that follow. This paper documents two prediction-based middleware services that address the implications of executing a particular workload on a given set of resources. These services are based on an established performance prediction system that is employed at both the local (intra-domain) and global (multi-domain) levels to provide dynamic workload steering. These additional facilities bring about significant performance improvements, the details of which are presented with regard to system- and user-level qualities of service. The middleware has been designed for the management of resources and distributed workload across multiple administrative boundaries, a requirement that is of central importance to grid computing. (C) 2006 Elsevier B.V. All rights reserved.

关键词： performance prediction resource management grid computing

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Problems for resource brokering in large and dynamic Grid environments 1

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12th international Euro-Par Conference on parallel Processing

作者： Dumitrescu, Catalin L. Delft Univ Technol CoreGRID Inst Resource Management & Scheduling NL-2628 CD Delft Netherlands

ISBN: (数字)9783540377849

ISBN: (纸本)3540377832

Running workloads in a Grid environment may become a challenging problem when no appropriate means are available for resource brokering. Many times resources are provided under various administrative policies and agreements that must be known in order to perform adequate scheduling decisions. Thus, providing suitable solutions for resource management is important if we want to cope with the increased scale and complexity of such distributed system. In this paper we explore the key requirements a brokering infrastructure must meet in large and dynamic Grid environments and illustrate how these requirements are addressed by a specialized infrastructure, DI-GRUBER - a distributed usage service level agreement (uSLA) brokering service. The accuracy function of the brokering infrastructure connectivity and the performance gains when a client scheduling policy is employed are analyzed in high detail. In addition, a performance comparison with a P2P-based distributed lookup service is performed to illustrate the performance differences between two different technologies that address similar problems (Grids that focus on federated resource sharing scenarios and P2Ps that focus on self-organizing distributed resource sharing systems, in which most of the communication is symmetric).

关键词： distributed computer systems

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Flexible, low-overhead event logging to support resource scheduling

Flexible, low-overhead event logging to support resource sch...

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12th international Conference on parallel and distributed systems, ICPADS 2006

作者： Stoess, Jan Uhlig, Volkmar University of Karlsruhe Germany IBM T.J. Watson Research Center New York

ISBN: (纸本)0769526128

Flexible resource management and scheduling policies require detailed system-state information. Traditional, monolithic operating systems with a centralized kernel derive the required information directly, by inspection of internal data structures or maintaining additional accounting data. In systems with distributed or multi-level resource managers that reside in different subsystems and protection domains, direct inspection is unfeasible. In this paper we present how system event logging - a mechanism usually used in the context of performance analysis and debugging -can also be used for resource scheduling. Event logs provide accumulated, pre-processed, and structured state information independent of the internal structure of individual system components or applications. We describe methods of low-overhead data collection and data analysis and present a prototypical application to multiprocessor scheduling of virtual machines. © 2006 IEEE.

关键词： resource allocation

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Dynamic mapping of cooperating tasks to nodes in a distributed system

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FUTURE GENERATION COMPUTER systems-THE international JOURNAL OF GRID COMPUTING THEORY METHODS AND APPLICATIONS 2006年第1-2期22卷 35-45页

作者： Rehn, C Tech Univ Munich Inst Informat D-85748 Garching Germany

Networks of workstations (NOWs) are a low-cost and widespread platform for parallel computing. This paper focuses oil the dynamic task-scheduling problem in NOW environments. The aim is to minimize the completion time of parallel programs by distributing cooperating concurrent tasks to homogeneous networked nodes. Cooperation dependencies as well as creation and termination dependencies between tasks are taken into account. An event lattice model is introduced to describe past, actual and future behavior of a parallel program in execution. Based on this model an algorithm is presented to dynamically assign tasks to the nodes of a dedicated distributed system. Crucial for the efficiency of this approach is a top-down construction of all operating system entities involved in distributed resource management, particularly the close cooperation of the compiler and runtime system, which allows the creation of event lattice clippings at runtime. (c) 2004 Elsevier B.V. All rights reserved.

关键词： distributed system cooperative system global scheduling task mapping task assignment

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Dynamic mapping of cooperating tasks to nodes in a distributed system

Dynamic mapping of cooperating tasks to nodes in a distribut...

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international Multi-Conference in Computer Science and Computer Engineering

作者： Rehn, C Tech Univ Munich Inst Informat D-85748 Garching Germany

关键词： distributed system cooperative system global scheduling task mapping task assignment

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DIET: A scalable toolbox to build network enabled servers on the grid

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international JOURNAL OF HIGH PERFORMANCE COMPUTING APPLICATIONS 2006年第3期20卷 335-352页

作者： Caron, E. Desprez, F. Univ Lyon 1 INRIA ENS Lyon LIP LabGRAAL ProjectUMR CNRS F-69622 Villeurbanne France

Among existing grid middleware approaches, one simple, powerful, and flexible approach consists of using servers available in different administrative domains through the classical client-server or Remote Procedure Call (RPC) paradigm. Network Enabled Servers implement this model also called GridRPC. Clients submit computation requests to a scheduler whose goal is to find a server available on the grid. The aim of this paper is to give an overview of a middleware developed by the GRAAL team called DIET (for distributed Interactive Engineering Took box). DIET is a hierarchical set of components used for the development of applications based on computational servers on the grid.

关键词： grid enabled server systems scalable scheduling resource management

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An economy-driven mapping heuristic for hierarchical master-slave applications in grid systems 20

An economy-driven mapping heuristic for hierarchical master-...

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20th IEEE international parallel and distributed Processing Symposium, IPDPS 2006

作者： Ranaldo, Nadia Zimeo, Eugenio University of Sannio Department of Engineering Benevento 82100 Italy University of Sannio Research Centre on Software Technology Benevento 82100 Italy

ISBN: (纸本)1424400546

In heterogeneous distributed systems, such as Grids, a resource broker is responsible of automatically selecting resources, and mapping application tasks to them. A crucial aspect of resource broker design, especially in a next commercial exploitation of grid systems, in which economy theories for resource management will be applied, is the support to task mapping based on the fulfilment of Quality of Service (QoS) constraints. The paper presents an economy-driven mapping heuristic, called time minimization, for mapping and scheduling the tasks assigned to the slaves of a master-slave application in a hierarchical and heterogeneous distributed system. The validity and accuracy of such heuristic are tested by implementing it in a resource broker of a hierarchical grid middleware used for running a real world application. © 2006 IEEE.

关键词： distributed computer systems

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Integrating computing resources on multiple grid-enabled job scheduling systems through a grid RPC system 06

Integrating computing resources on multiple grid-enabled job...

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6th IEEE international Symposium on Cluster Computing and the Grid (CCGRID 2006)

作者： Nakajima, Yoshihiro Sato, Mitsuhisa Aida, Yoshiaki Boku, Taisuke Cappello, Franck Univ Tsukuba Dept Syst & Informat Engn Tsukuba Ibaraki Japan INRIA Paris France

ISBN: (纸本)0769525857

We present a framework for a parallel programming model by remote procedure calls bridging between large-scale computing resource pools managed by multiple grid-enabled-job scheduling systems. With this system, the user can exploit not only each remote servers and clusters, but also computing resources provided with grid-enabled job scheduling systems located on different sites. This framework requires a Grid RPC system to decouple the computation in a remote node from the Grid RPC mechanism and uses document-based communication rather than connection-based communication. We implemented the proposed framework as an extension of the OmniRPC system, which is a Grid RPC system for parallel programming in a grid environment. We designed a general interface to adapt the OmniRPC system to various grid-enabled job scheduling systems easily and applied the proposed system to several grid-enabled job scheduling systems, including XtremWeb, CyberGRIP, Condor and Grid Engine. we show the preliminary performance of these implementations using a phylogenetic application. We found that the proposed system can achieve approximately the same performance as using OmniRPC and can handle interruptions in worker programs on remote nodes.

关键词： Grid computing Processor scheduling Job shop scheduling Computer networks parallel programming resource management distributed computing Pervasive computing systems engineering and theory Concurrent computing

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