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Distributed and Parallel Systems
(Englisch)
Cluster and Grid Computing
Kacsuk, Péter & Kranzlmüller, Dieter & Németh, Zsolt & Volkert, Jens

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Distributed and Parallel Systems

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Produktbeschreibung

Distributed and Parallel Systems: Cluster and Grid Computing is the proceedings of the fourth Austrian-Hungarian Workshop on Distributed and Parallel Systems organized jointly by Johannes Kepler University, Linz, Austria and the MTA SZTAKI Computer and Automation Research Institute.

The papers in this volume cover a broad range of research topics presented in four groups. The first one introduces cluster tools and techniques, especially the issues of load balancing and migration. Another six papers deal with grid and global computing including grid infrastructure, tools, applications and mobile computing. The next nine papers present general questions of distributed development and applications. The last four papers address a crucial issue in distributed computing: fault tolerance and dependable systems.

This volume will be useful to researchers and scholars interested in all areas related to parallel and distributed computing systems.


Preface; P. Kacsuk, et al. Program Committee. Cluster Computing: Tools and Techniques. Toward a Cluster Operating System that Offers a Single System Image; A.M. Goscinski. Load Balancing for P-GRADE Parallel Applications; M.L. Tóth, et al. Exploiting Runtime Information in Load Balancing Strategies; V. Felea. Server Based Migration of Parallel Applications; J. Kovács, P. Kacsuk. Predicting Performance of SMP Clusters; R. Cejka, et al. A Data Intensive Computation on a Cluster; Z. Horváth, et al. Global and Grid Computing. Information System Architecture for Brokering in Large Scale Grids; Z. Balaton, et al. Experiments in Load Balancing Across the Grid via a Code Transformation; E. Violard, et al. Towards a Robust and Fault-Tolerant Multicast Discovery Architecture for Global Computing Grids; Z. Juhász, et al. C3 Power Tools: The Next Generation...; B. Luethke, et al. Interactive Virtual Reality Volume Visualization on the Grid; P. Heinzlreiter, et al. Ubiquitous Context Sensing in Wireless Environments; A. Ferscha, et al. Parallel and Distributed Software Development and Applications. Application of P-GRADE Development Environment in Meteorology; R. Lovas, et al. MRT - An Approach to Minimize the Replay Time During Debugging Message Passing Programs; N. Thoai, J. Volkert. ANT - A Testing Environment for Nondeterministic Parallel Programs; D. Kranzlmüller, et al. Semantic Elements for Parallel Computing in ORB(M); A. Ulbert. A Mobile Agent-based Infrastructure for an Adaptive Multimedia Server; B. Goldschmidt, et al. An Adaptive MPEG-4 Proxy Cache; P. Schojer, et al. Distributed Training of Universal Multi-Nested Neurons; F. Ionescu, et al.Parallel Traffic Simulation in Spider Programming Environment; D. Igbe, et al. Conformace Testing of Parallel Languages; L. Garstecki, et al. Dependable and fault tolerant systems. A Dependable High Performance Serial Storage Architecture; G. Rotondi, et al. Modeling Uncertainty in System-Level Fault Diagnosis Using Process Graphs; B. Polgár, et al. Tolerating Stop Failures in Distributed Maple; K. Bósa, W. Schreiner. A Mechanism to Detect Wireless Network Failures for MPI Programs; E.M. Macías, A. Suárez. Author Index.

Cluster Computing: Tools and Techniques.- Toward a Cluster Operating System that Offers a Single System Image.- Load Balancing for P-GRADE Parallel Applications.- Exploiting Runtime Information in Load Balancing Strategies.- Server Based Migration of Parallel Applications.- Predicting Performance of SMP Clusters.- A Data Intensive Computation on a Cluster.- Global and Grid Computing.- Information System Architecture for Brokering in Large Scale Grids.- Experiments in Load Balancing Across the Grid via a Code Transformation.- Towards a Robust and Fault-Tolerant Multicast Discovery Architecture for Global Computing Grids.- C3 Power Tools: The Next Generation....- Interactive Virtual Reality Volume Visualization on the Grid.- Ubiquitous Context Sensing in Wireless Environments.- Parallel and Distributed Software Development and Applications.- Application of P-GRADE Development Environment in Meteorology.- MRT - An Approach to Minimize the Replay Time During Debugging Message Passing Programs.- ANT - A Testing Environment for Nondeterministic Parallel Programs.- Semantic Elements for Parallel Computing in ORB(M).- A Mobile Agent-based Infrastructure for an Adaptive Multimedia Server.- An Adaptive MPEG-4 Proxy Cache.- Distributed Training of Universal Multi-Nested Neurons.- Parallel Traffic Simulation in Spider Programming Environment.- Conformace Testing of Parallel Languages.- Dependable and fault tolerant systems.- A Dependable High Performance Serial Storage Architecture.- Modeling Uncertainty in System-Level Fault Diagnosis Using Process Graphs.- Tolerating Stop Failures in Distributed Maple.- A Mechanism to Detect Wireless Network Failures for MPI Programs.- Author Index.

Inhaltsverzeichnis



Preface; P. Kacsuk, et al. Program Committee. Cluster Computing: Tools and Techniques. Toward a Cluster Operating System that Offers a Single System Image; A.M. Goscinski. Load Balancing for P-GRADE Parallel Applications; M.L. Tóth, et al. Exploiting Runtime Information in Load Balancing Strategies; V. Felea. Server Based Migration of Parallel Applications; J. Kovács, P. Kacsuk. Predicting Performance of SMP Clusters; R. Cejka, et al. A Data Intensive Computation on a Cluster; Z. Horváth, et al. Global and Grid Computing. Information System Architecture for Brokering in Large Scale Grids; Z. Balaton, et al. Experiments in Load Balancing Across the Grid via a Code Transformation; E. Violard, et al. Towards a Robust and Fault-Tolerant Multicast Discovery Architecture for Global Computing Grids; Z. Juhász, et al. C3 Power Tools: The Next Generation...; B. Luethke, et al. Interactive Virtual Reality Volume Visualization on the Grid; P. Heinzlreiter, et al. Ubiquitous Context Sensing in Wireless Environments; A. Ferscha, et al. Parallel and Distributed Software Development and Applications. Application of P-GRADE Development Environment in Meteorology; R. Lovas, et al. MRT - An Approach to Minimize the Replay Time During Debugging Message Passing Programs; N. Thoai, J. Volkert. ANT - A Testing Environment for Nondeterministic Parallel Programs; D. Kranzlmüller, et al. Semantic Elements for Parallel Computing in ORB(M); A. Ulbert. A Mobile Agent-based Infrastructure for an Adaptive Multimedia Server; B. Goldschmidt, et al. An Adaptive MPEG-4 Proxy Cache; P. Schojer, et al. Distributed Training of Universal Multi-Nested Neurons; F. Ionescu, et al.Parallel Traffic Simulation in Spider Programming Environment; D. Igbe, et al. Conformace Testing of Parallel Languages; L. Garstecki, et al. Dependable and fault tolerant systems. A Dependable High Performance Serial Storage Architecture; G. Rotondi, et al. Modeling Uncertainty in System-Level Fault Diagnosis Using Process Graphs; B. Polgár, et al. Tolerating Stop Failures in Distributed Maple; K. Bósa, W. Schreiner. A Mechanism to Detect Wireless Network Failures for MPI Programs; E.M. Macías, A. Suárez. Author Index.


Klappentext

Distributed and Parallel Systems: Cluster and Grid Computing is the proceedings of the fourth Austrian-Hungarian Workshop on Distributed and Parallel Systems organized jointly by Johannes Kepler University, Linz, Austria and the MTA SZTAKI Computer and Automation Research Institute.

The papers in this volume cover a broad range of research topics presented in four groups. The first one introduces cluster tools and techniques, especially the issues of load balancing and migration. Another six papers deal with grid and global computing including grid infrastructure, tools, applications and mobile computing. The next nine papers present general questions of distributed development and applications. The last four papers address a crucial issue in distributed computing: fault tolerance and dependable systems.

This volume will be useful to researchers and scholars interested in all areas related to parallel and distributed computing systems.



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