The Globus Alliance at SC2004
See Globus@Work at SC2004!
During the conference, the Globus Toolkit will be demonstrated in action by numerous application demonstrations around the exhibit hall. The Globus Project will also be represented by paper presentations, tutorials, posters, and other conference activities.
Paper submissions are not a major focus of the Globus Alliance at SC2004. Nevertheless, the following two papers--co-authored by Alliance members--were accepted for presentation this year.
The Inca Test Harness and Reporting Framework. S. Smallen, C. Olschanowsky, K. Ericson, P. Beckman, J. Schopf.
A Peer-to-Peer Replica Location Service Based On a Distributed Hash Table. M. Cai, A. Chervenak, M. Frank.
The Grid2004 conference is traditionally held in conjunction with SC conferences, offering a venue for papers focusing on Grid applications and technologies. Globus Alliance members are presenting the following papers at the Grid2004 conference.
From Sandbox to Playground: Dynamic Virtual Environments in the Grid. K. Keahey, K. Doering, I. Foster.
Implementation and Evaluation of a ReplicaSet Grid Service. M. Manohar, A. Chervenak, B. Clifford, C. Kesselman.
Tutorials provide attendees an opportunity for intensive learning on a particular topic of interest. This year, the Globus Alliance offers the following two half-day tutorials at SC2004.
M09: Virtual Data Management for Grid Computing
Monday, November 8, 8:30am - 12:00pm
Michael Wilde, Argonne National Laboratory
Gaurang Mehta and Karan Vahi, University of Southern California Information Sciences Institute
Virtual data is a paradigm for expressing and managing the relationships between datasets and the computational procedures that produce them. It provides abstractions to describe data that does not yet been computed, and is embodied in a toolkit which automates workflow generation and data provenance tracking for problems ranging from desktop analysis to massive-scale computations on a Grid.
In a virtual data system, data, procedures, and computations are all first class entities, and can be published, discovered, and manipulated. Virtual data enables us to trace the provenance of derived data; plan and track the computational workflows required to derive a particular data product; determine whether a requested computation has been performed previously and whether it is cheaper to rerun it or to retrieve previously generated data; and discover computational procedures with desired characteristics.
This tutorial describes the foundations of the virtual data concept, presents a practical, "how-to" focused introduction to the Grid-based virtual data tools created by GriPhyN, the Grid Physics Network project, explores related work in the fields of provenance tracking and workflow management, and presents case studies of virtual data on computing problems in high-energy physics, biology, medical research, astronomy and astrophysics.
M12: Beyond Globus: Lessons Learned from the Grid
Monday, November 8, 8:30am - 12:00pm
Lee Liming, Argonne National Laboratory
The Globus Alliance aims to provide solutions to the most persistent and vexing problems that come up in Grid projects and applications. Our solutions to date are collected in the Globus Toolkit and these solutions are used in many Grid applications and systems.
While the Globus Toolkit makes it easier to conduct Grid-based projects, the challenges are still far from easy and the Globus Toolkit does not provide a "turnkey" solution. Success in a Grid project depends on a clear vision of the problem(s) to be solved, awareness of relevant tools (both within and beyond the Globus Toolkit), and a strategy for applying the technology.
This half-day tutorial provides answers to critical questions for Grid project planners and product developers, including: What types of problems is the Grid intended to address? How far does the Globus Toolkit go toward solving these problems? What do you need besides the Globus Toolkit to have a useful solution to your problem?
The Globus Toolkit will be put into context, and examples and roadmaps for the most common uses of the Globus Toolkit will be provided.
This year, members of the Globus Alliance have prepared materials for SC2004 poster sessions on the following topics.
P05: Using Performance Prediction to Allocate Grid Resources
Seung-Hye Jang (Texas A&M University)
Xingfu Wu (Text A&M University)
Valerie Taylor (Text A&M University)
Gaurang Mehta (USC Information Sciences Institute)
Karan Vahi (USC Information Sciences Institute)
Ewa Deelman (USC Information Sciences Institute)
P06: Quality of Life in the Grids: Virtual Machines Meet Bioinformatics Applicaitons
Daniel Galron (Argonne National Laboratory)
Tim Freeman (Argonne National Laboratory)
Kate Keahey (Argonne National Laboratory)
Stephanie Gato (Argonne National Laboratory)
Natalia Maltsev (Argonne National Laboratory)
Alex Rodriguez (Argonne National Laboratory)
Mike Wilde (Argonne National Laboratory)
P09: Karajan: A Grid Orchestration Framework
Mihael Hategan (Argonne National Laboratory, University of Chicago)
Gregor von Laszewski (Argonne National Laboratory)
Kaizar Amin (Argonne National Laboratory, University of North Texas)
P11: The Next Generation of the Java CoG Kit (version 4)
Gregor von Laszewski (National Laboratory)
Kaizar Amin (North Texas University)
Matt Bone (Loyola University)
Mike Hategan (University of Chicago)
Pankaj Sahasrabudhe (University of Louisville)
Mike Sosonkin (Polytechnic University, New York)
Robert Winch (Loyola University)
Nithya Vijayakumar (Indiana University)
David Angulo (DePaul University)
P20: SCEC TeraShake - Supporting an Earthquake Storage Intensive Simulation
Kim B. Olsen (San Diego State University), Jean-Bernard Minster (University of
California, San Diego), Reagan Moore (San Diego Supercomputer Center), Steven
Day (San Diego State University), Philip Maechling (University of Southern
California), Thomas H. Jordan (University of Southern California), Marcio
Faerman (San Diego Supercomputer Center), Yifeng Cui (San Diego Supercomputer
Center), Geoffrey Ely (University of California, San Diego), Yuanfang Hu (San
Diego Supercomputer Center), Boris Shkoller (University of California, San
Diego), Carey Marcinkovich (ExxonMobil Exploration Company), Jacobo Bielak
(Carnegie Mellon University), David Okaya (University of Southern California),
Ralph Archuleta (University of California, Santa Barbara), Nancy Wilkins-Diehr
(San Diego Supercomputer Center), Steve Cutchin (San Diego Supercomputer
Center), Amit Chourasia (San Diego Supercomputer Center), George Kremenek (San
Diego Supercomputer Center), Arun Jagatheesan (San Diego Supercomputer Center),
Leesa Brieger (San Diego Supercomputer Center), Amit Majumdar (San Diego
Supercomputer Center), Giridhar Chukkapalli (San Diego Supercomputer Center),
Qiao Xin (San Diego Supercomputer Center), Richard Moore (San Diego
Supercomputer Center), Bryan Banister (San Diego Supercomputer Center), Donald
Thorp (San Diego Supercomputer Center), Patricia Kovatch (San Diego
Supercomputer Center), Larry Diegel (San Diego Supercomputer Center), Tom
Sherwin (San Diego Supercomputer Center), Christopher Jordan (San Diego
Supercomputer Center), Marcus Thiebaux (Information Sciences Institute), Julio
Lopez (Carnegie Mellon University)