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21st international parallel and distributed Processing Symposium, IPDPS 2007

作者： Miller, Sam Megerian, Mark Allen, Paul Budnik, Tom IBM Systems and Technology Group Rochester MN

Blue Gene&reg/P is a massively parallel supercomputer intended as the successor to Blue Gene/L. It leverages much of the existing architecture of its predecessor to provide scalability up to a petaflop of peak com... 详细信息

ISBN: (纸本)1424409101

Blue Gene®/P is a massively parallel supercomputer intended as the successor to Blue Gene/L. It leverages much of the existing architecture of its predecessor to provide scalability up to a petaflop of peak computing power. The resource management software for such a large parallel system faces several challenges, including system fragmentation due to partitioning, presenting resource usage information using a polling or event driven model, and acting as a barrier between external resource management systems and the Blue Gene/P core. This paper describes how the Blue Gene/P resource management architecture is extremely flexible by providing multiple methodologies for obtaining resource usage information to make scheduling decisions. Three distinctly separate resource management services will be described. First, the Bridge API, a full-featured API suitable for fine tuning scheduling and allocation decisions. Second, a light-weight Allocator API for allocating resources without substantial development costs. And lastly, configuring the system into static partitions. Job scheduling strategies utilizing each of the methods will be discussed. © 2007 IEEE.

关键词： Supercomputers

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Negotiation Strategies Considering Opportunity Functions for Grid scheduling

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13th international Euro-Par Conference on parallel Processing

作者： Li, Jiadao Sim, Kwang Mong Yahyapour, Ramin Univ Dortmund Inst Robot Res Informat Technol Core Grid Inst Resource Management & Scheduling D-44221 Dortmund Germany Hong Kong Baptist Univ Dept Comp Sci Kowloon Tong Peoples R China

ISBN: (纸本)9783540744658

In Grid systems, nontrivial qualities of service have to be provided to users by the resource providers. However, resource management in a decentralized infrastructure is a complex task as it has to cope with different policies and objectives of the different parties: providers and consumers/users. Agreement-based resource management is considered to solve many of these problems as the conflicts between the users and resource providers can be reconciled in a negotiation process. Such negotiation processes must be automated with no or minimal human interaction, considering the potential scale of Grid systems and the amount of necessary transactions. Therefore, strategic negotiation models and strategic negotiation strategies play important roles. In this paper, negotiation strategies considering time and opportunity functions for Grid scheduling are proposed and examined. The simulation results demonstrate that the negotiation strategies are suitable and effective for Grid environments.

关键词： distributed computer systems

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Activity pre-scheduling in grid workflows

Activity pre-scheduling in grid workflows

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15th Euromicro international Conference on parallel, distributed and Network-Based Processing

作者： Tretola, G. Zimeo, E. Univ Sannio Dept Engn I-82100 Benevento Italy Univ Sannio Res Ctr Software Technol I-82100 Benevento Italy

ISBN: (纸本)9780769527840

Grid Computing is becoming a prominent field of interest for distributed systems. The capability to support resource sharing between different organizations and the high level of performance are noteworthy features. However, to define, deploy and execute Grid Applications require significant design effort and complex resource coordination, which can be alleviated by using Workflow management systems. This technology is more and more adopted in distributed systems and Grids since it ensures easiness and flexibility at design-time and performance and dynamicity at run-time. This paper gives a contribution to performance improvements of workflow by presenting a technique to exploit fine-grained concurrency at run-time. The technique is implemented in a workflow enactment service that dynamically optimizes process execution limiting the design effort of application developers.

关键词： Grid computing

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Agile parallel applications

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international JOURNAL OF COMPUTER MATHEMATICS 2007年第2期84卷 153-166页

作者： Anthony, R. J. Univ Greenwich Old Royal Naval Coll Dept Comp Sci London SE10 9LS England

Non-dedicated loosely coupled systems are popular platforms for cluster- and grid-based parallel processing, fundamentally because they have good cost-performance ratios and are scalable. However, these platforms represent highly dynamic environments in which performance and efficiency can be seriously impacted by changes in environmental conditions. This is especially significant where the runtime configuration has been determined statically, either at compilation time or at the start of execution. This paper introduces the concept of agile parallel processing in which the application manages several aspects of its own run-time behaviour, including deployment granularity. This approach reduces the emphasis on the preconfiguration of components, and relies instead on inbuilt learning and discovery capabilities. To facilitate investigation into the extent to which a self-managing approach can be beneficial to parallel processing, an experimental framework has been developed. The framework provides a range of services such as dynamic worker discovery and performance calibration, and policy-controlled facilities such as resource management and adaptation to suit environmental conditions. The framework integrates these services with the parallel application code. The operation and performance of policy-based dynamic deployment scheduling in dynamic environments is analysed in detail.

关键词： scheduling parallel processing dynamic deployment self-management policy-based computing

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Load balancing:: Toward the infinite network and beyond

Load balancing:: Toward the infinite network and beyond

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12th international workshop on Job scheduling Strategies for parallel Processing

作者： Bustos-Jimenez, Javier Caromel, Denis Piquer, Jose M. Univ Chile Dept Ciencias Comp Blanco Encalada 2120 Santiago Chile INRIA Sophia Antipolis CNRS I3S UNSA F-06902 Sophia Antipolis France Univ Diego Portales Escuela Ingn Informat Santiago Chile

ISBN: (纸本)9783540710349

We present a contribution on dynamic load balancing for distributed and parallel object-oriented applications. We specially target peer-to-peer systems and their capability to distribute parallel computation. Using an algorithm for active-object load balancing, we simulate the balance of a parallel application over a peer-to-peer infrastructure. We tune the algorithm parameters in order to obtain the best performance, concluding that our IFL algorithm behaves very well and scales to large peer-to-peer networks (around 8,000 nodes).

关键词： resource allocation

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Semantics-based grid resource management

Semantics-based grid resource management

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5th international workshop on Middleware for Grid Computing, MGC'07, held at the ACM/IFIP/USENIX 8th international Middleware Conference

作者： Vidal, Alexandre C. T. Da Silva E Silva, Francisco José Kofuji, Sergio Takeo Kon, Fabio Universidade Federal do Maranhão Brazil University of São Paulo Brazil

ISBN: (纸本)9781595939449

scheduling parallel and distributed applications efficiently onto grid environments is a difficult task and a great variety of scheduling heuristics have been developed aiming to address this issue. A successful grid resource allocation depends, among other things, on the quafhy of the available information about software artifacts and grid resources. In this paper, we propose a semantic approach to integrate selection of equivalent resources and selection of equivalent software artifacts in order to improve the schedule of resources suitable for a given set of application execution requirements. We also describe a prototype implementation of our approach based on the Integrade grid middleware and experimental results that indicate its benefits. Copyright 2007 ACM.

关键词： Semantics

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Agile parallel applications

Agile parallel applications

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Joint Meeting of the international Symposium on distributed Computing and Applications to Business, Engineering and Science/international Conference on parallel Algorithms and Computing Evironments

作者： Anthony, R. J. Univ Greenwich Old Royal Naval Coll Dept Comp Sci London SE10 9LS England

关键词： scheduling parallel processing dynamic deployment self-management policy-based computing

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A multi agent decision support system for real time scheduling

A multi agent decision support system for real time scheduli...

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4th international workshop on Computer Supported Activity Coordination - CSAC 2007;In Conjunction with ICEIS 2007

作者： Taghezout, N. Zarate, P. Computer Science Department University of Es-Senia Oran BP 1524 El-M' Naouer 31000 Oran Algeria IRIT INPT ENSIACET 118 route de Narbonne 31062 Toulouse Cedex 9 France

ISBN: (纸本)9789728865986

The environment of firms and market requirements necessitates a performance increased by the product flux management in the course of their manufacture. This management plays a certain number of functions among which the scheduling of workshop is taking more and more importance. This article presents an approach which takes into account robustness and flexibility of a real time scheduling, by defining and undertaking an interactive decision support system. We develop a structure of piloting and supervising of distributed and integrated, as well as reactive workshop. Independent modules of piloting in the latter allow organizing resource tasks and adapting generated plans according to disturbances. As support to modelling and decisional system implantation, we propose a multi-agent system. The agent actions of the same hierarchical level become concrete across the analysis and reaction procedures. The decision centres negotiate compromises to solve conflicts, under the control of a supervisor entity.

关键词： Decision support systems

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scheduling and load balancing in the parallel ROOT facility (PROOF) 11

Scheduling and load balancing in the parallel ROOT facility ...

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11th international workshop on Advanced Computing and Analysis Techniques in Physics Research, ACAT 2007

作者： Ganis, Gerardo Iwaszkiewicz, Jan Rademakers, Fons CERN Italy Institute of Informatics University of Warsaw Poland

The parallel ROOT Facility (PROOF) enables interactive analysis of distributed data sets in a transparent way. PROOF, which represents an alternative to batch-oriented distributed computing systems, is being successfully used by the PHOBOS experiment since a few years. In view of the start-up of the LHC, PROOF underwent several developments and improvements. The main challenge was to adapt it to the largemulti-user analysis environments. The ALICE collaboration has pioneered stress-testing of the system in the LHC environment, using a dedicated testbed, located in the CERN Computing Centre. Among the developments for the LHC, load-balancing and resource scheduling play a central role. To optimize the work distribution, a new load-balancing strategy has been developed, with an adaptive algorithm to predict and circumvent potential data access bottlenecks. Assignment of resources to users is addressed at two levels: centrally, by providing a scheduler with an abstract interface and locally, by implementing a mechanism to enforce resource quotas at worker level. Copyright © owned by the author(s) under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike Licence.

关键词： Adaptive algorithms

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Fair resource sharing in hierarchical virtual organizations for global Grids 07

Fair resource sharing in hierarchical virtual organizations ...

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8th IEEE/ACM international Conference on Grid Computing

作者： Kim, Kyong Hoon Buyya, Rajkumar Univ Melbourne Dept Comp Sci & Software Engn Grid Comp & Distributed Syst GRIDS Lab Carlton Vic Australia

ISBN: (纸本)9781424415595

In global Grid computing, users and resource providers organize various Virtual Organizations (VOs) to share resources and services. A VO organizes other sub-VOs for the purpose of achieving the VO goal, which forms hierarchical VO environments. resource providers and VOs agree upon VO resource sharing policies, such as resource sharing amount. Thus, users in lower-layer VOs can access resources in higher-layer VOs to accomplish their common goals. In this paper, we deal with fair resource allocation problem in hierarchical VOs, so that an appropriate proportion of a VO resource for each lower-layer VO is analyzed. In addition, we provide a resource allocation scheme based on these predefined proportions. Simulation results show that the proposed approach gives better fairness as well as performance compared with other schemes.

关键词： resource management Grid computing Processor scheduling Large-scale systems Authorization Aggregates Laboratories Computer science Software engineering Computational modeling

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