Replication combined with explicit management of data integrity constraints can be used to enhance availability of object-oriented, data-centric distributedsystems when node and link failures occur. Our approach enha...
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A key enabler of the recently popularized, assembly-centric development approach for distributed real-time software systems is QoS-enabled middleware, which provides reusable building blocks in the form of design patt...
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Grid computing can be used for high performance computations. However, a serious difficulty in concurrent programming of such heterogeneous systems is how to deal with scheduling and load balancing of such systems whi...
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The proceedings contain 448 papers. The topics discussed include: building the tree of life on terascale systems;efficient block device sharing over myrinet with memory bypass;conserving memory bandwidth in chip multi...
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ISBN:
(纸本)1424409101
The proceedings contain 448 papers. The topics discussed include: building the tree of life on terascale systems;efficient block device sharing over myrinet with memory bypass;conserving memory bandwidth in chip multiprocessors with runahead execution;towards a better understanding of workload dynamics on data-intensive clusters and grids;energy-aware self-stabilization in mobile ad hoc networks: a multicasting case study;optimizing multiple distributed stream queries using hierarchical network partitions;fast failure detection in a process group;route table partitioning and load balancing for parallel searching with TCAMs;load balancing in the bulk-synchronous-parallel setting using process migrations;capacity sharing and stealing in dynamic server-based real-time systems;and power-aware routing for well-nested communications on the circuit switched tree.
The 2007 international Conference on Computing in High Energy and Nuclear Physics (CHEP) was held on 2–7 September 2007 in Victoria, British Columbia, Canada. CHEP is a major series of international conferences for p...
The 2007 international Conference on Computing in High Energy and Nuclear Physics (CHEP) was held on 2–7 September 2007 in Victoria, British Columbia, Canada. CHEP is a major series of international conferences for physicists and computing professionals from the High Energy and Nuclear Physics community, Computer Science and Information Technology. The CHEP conference provides an international forum to exchange information on computing experience and needs for the community, and to review recent, ongoing, and future activities. The CHEP'07 conference had close to 500 attendees with a program that included plenary sessions of invited oral presentations, a number of parallel sessions comprising oral and poster presentations, and an industrial exhibition. Conference tracks covered topics in Online Computing, Event Processing, Software Components, Tools and databases, Software Tools and Information systems, Computing Facilities, Production Grids and Networking, Grid Middleware and Tools, distributed Data Analysis and Information Management and Collaborative Tools. The conference included a successful whale-watching excursion involving over 200 participants and a banquet at the Royal British Columbia Museum. The next CHEP conference will be held in Prague in March 2009. We would like thank the sponsors of the conference and the staff at the TRIUMF Laboratory and the University of Victoria who made the CHEP'07 a success. Randall Sobie and Reda Tafirout CHEP'07 Conference Chairs
The proceedings contain 52 papers. The topics discussed include: knowledge-based platform for environmental risk management;distributed symbolic computations;building an HPC ecosystem in Europe;job management in WebCo...
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ISBN:
(纸本)0769529364
The proceedings contain 52 papers. The topics discussed include: knowledge-based platform for environmental risk management;distributed symbolic computations;building an HPC ecosystem in Europe;job management in WebCom;whole genome comparison on a network of workstations;dual communication network in program control based on global application state monitoring;checkpoint and recovery for parallel applications with dynamic number of processes;a prototype of social and economic based resource allocation system in grid computing;credentials management for authentication in a grid-based e-learning platform;integrating distributed component and mobile agents programming models in grid computing;interactive fusion simulation and visualization on the grid;fully distributed active and passive task management for grid computing;a new iterative method to improve network coordinates-based internet distance estimation;and dynamic workflow control with global states monitoring.
Grid computing focuses on making use of a very large amount of resources from a large-scale computing environment. It intends to deliver high-performance computing over distributed platforms for computation and data-i...
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In large-scale distributedsystems, asynchronous communication and future objects are becoming wide spread mechanisms to tolerate high latencies and to improve global performances. Automatic continuation, that is the ...
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Gang scheduling has been shown to be an effective task scheduling policy for parallel and distributedsystems. In this paper we study gang scheduling performance in the presence of critical sporadic jobs. A simulation...
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ISBN:
(纸本)9781622763559
Gang scheduling has been shown to be an effective task scheduling policy for parallel and distributedsystems. In this paper we study gang scheduling performance in the presence of critical sporadic jobs. A simulation model is used to address performance issues associated with gang scheduling on distributed processors for various workloads. Simulated results indicate that the relative performance of the gang scheduling policies depends on the arrival rates of gangs and critical sporadic jobs.
In this paper we present and evaluate Inhambu, a distributed object-oriented system that supports the execution of data mining applications on clusters of PCs and workstations. This system provides a resource manageme...
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In this paper we present and evaluate Inhambu, a distributed object-oriented system that supports the execution of data mining applications on clusters of PCs and workstations. This system provides a resource management layer, built on the top of Java/RMI, that supports the execution of the data mining tool called Weka. We evaluate the performance of Inhambu by means of several experiments in homogeneous, heterogeneous and non-dedicated clusters. The obtained results are compared with those achieved by a similar system named Weka-parallel. Inhambu outperforms its counterpart for coarse grain applications, mainly for heterogeneous and non-dedicated clusters. Also, our system provides additional advantages such as application checkpointing, support for dynamic aggregation of hosts to the cluster, automatic restarting of failed tasks, and a more effective usage of the cluster. Therefore, Inhambu is a promising tool for efficiently executing real-world data mining applications. The software is delivered at the project's web site available at http://***/projects/inhambu/. (c) 2006 Elsevier Inc. All rights reserved.
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