[ Events | Dissemination | Related Links ]
January 28-30, 2004 | 2nd European Across Grids Conference |
January 24-28, 2004 | CrossGrid Integration Workshop and Conference hosted by HPCL. |
January 20-23, 2004 | ANWIRE
Winter School on Middleware hosted by HPCL. |
January 2004 |
HPCL will organize the 2nd European Across Grids Conference (AxGrids 2004) and the CrossGrid Workshop and Integration Meeting. The Conference will be co-organized with GridStart and the CrossGrid consortium, and will host the GridStart working group meetings. |
Grid Day 26/3/2003 15:00-19:30 E110, UCY |
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CyGrid Seminar 21/3/2003 15:30-16:15 HPCL |
Overview of the Local Testbed: Structure, Functionality, Installation
(ppt)
Speaker: George Tsouloupas |
CyGrid Seminar 12/12/2002 14:00-16:00 E102 |
An Overview of the Local Testbed (pdf)
Speaker: George Tsouloupas |
CyGrid Seminar November 14, 2002 14:45-15:30 Aithousa Dioikisis |
Grid Benchmarking: Related Work and Progress Report Speaker:
George Tsouloupas |
CyGrid Seminar November 7, 2002 14:00-15:00 Aithousa Dioikisis |
Job Submission in DataGrid and Globus Middleware
(ppt)
Speaker: Wei Xing |
Lunch Seminar July 14, 13:00-14:00 Room TBA |
A Quantitative Analysis of the Gnutella Network Traffic Speaker: Demetris Zeinalipour Peer-to-Peer (P2P) file-sharing systems such as Gnutella, Kazaa and Freenet have recently attracted a lot of interest from the internet community because they realized a distributed infrastructure for sharing files. Such systems have shifted the Web's Client-Server model paradigm into a Client-Client model. The tremendous success of such systems has proven that purely distributed search systems are feasible and that they may change the way we interact on the Internet. P2P systems uncover many new exciting features such as robustness, scalability and high fault tolerance but with a price. Most research concentrates on optimizing the communication and data model of such systems but inadequate work has been done in area of analyzing such systems. Most approaches tend to use as their basis simulation models which can lead to wrong observations and solutions. In this project we investigate the behavior of the Gnutella system by analyzing large log traces that we have obtained with gnuDC, our Distributed Gnutella Crawler. We describe gnuDC design and implementation choices and we then describe its architecture. We make an analysis of 56 million messages that we obtained with 17 workstations in a 5 hour interval. We have also done an extensive analysis on IP addresses observed in the gnutella network. We believe that our study will facilitate the design of new more efficient communication algorithms between peers. |
Departmental Lecture July 11, 18:00-19:00 UCY, Room A019 |
ASKALON: A Tool Set for Cluster and Grid Computing Speaker: Prof. T. FahringerInstitute for Software Science University of Vienna Distributed and parallel computing have been investigated for many years but recently research on this topic has gained new impetus due to the explosive growth of the Internet, the occurrence of cluster and Grid computing infrastructures, and the availability of portable programming languages such as Java. Although rapid advances in microprocessor technology, high speed networks and heterogeneous distributed computing architectures are bringing teraflops performance within grasp, the software infrastructure for distributed and parallel systems has not kept pace. Substantial advances in the field of programming languages and methods enable the programmer to write effective programs at a machine-independent level. However, as parallelization and optimization of programs is far from being automated, there is a clear need for useful, efficient and accurate tools to support this process. In the framework of ASKALON we are developing several software tools to alleviate the program development, parameter studies and software testing for cluster and Grid infrastructures. In this presentation we mostly focus on ZENTURIO which supports scientists in conducting performance and parameter studies. Moreover, we present a novel tool that given a set of machine and problem size parameters, tries to automatically detect all performance bottlenecks in a parallel/distributed program. We will present several experiments to demonstrate the usefulness of these tools. |
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