Gregor Von Laszewski

Publications of Gregor Von Laszewski

• Task scheduling with ANN-based temperature prediction in a data center: a simulation-based study.

  Authors: Lizhe Wang, Gregor von Laszewski, Fang Huang, Jai Dayal, Tom Frulani, Geoffrey Fox

  Eng. Comput. (Lond.). 01/2011; 27:381-391.

• FutureGrid Image Repository: A Generic Catalog and Storage System for Heterogeneous Virtual Machine Images.

  Authors: Javier Diaz, Gregor von Laszewski, Fugang Wang, Andrew J. Younge, Geoffrey Fox

  IEEE 3rd International Conference on Cloud Computing Technology and Science, CloudCom 2011, Athens, Greece, November 29 - December 1, 2011; 01/2011

• An abstraction model for a Grid execution framework.

  Authors: Kaizar Amin, Gregor von Laszewski, Mihael Hategan, Rashid J. Al-Ali, Omer F. Rana, David W. Walker

  Journal of Systems Architecture. 01/2006; 52:73-87.

• Workflow Concepts of the Java CoG Kit.

  Authors: Gregor von Laszewski, Mihael Hategan

  J. Grid Comput. 01/2005; 3:239-258.

• The Java CoG Kit User Manual

  Authors: Gregor Von Laszewski, Beulah Alunkal, Kaizar Amin, Jarek Gawor, Mihael Hategan, Eep Nijsure

  03/2004;

  This article provides an overview of important influences, developments, and technologies that are shaping state-of-the-art Grid computing. In particular, we address the following questions: WhatThis article provides an overview of important influences, developments, and technologies that are shaping state-of-the-art Grid computing. In particular, we address the following questions: What motivates the Grid approach? What is a Grid? What is the architecture of a Grid? Which Grid research activities are performed? How do researchers use a Grid? What will the future bring? Other CoG Kit related papers can be found at References von Laszewski : http://www.mcs.anl.gov/gregor/bib/ 2.1 Intended Audience This manual is intended for the intermediate Grid programmer that would like to access the Globus Toolkit functionality through Java. We assume that the reader of this manual is familiar with Java. If not, general information about Java is available through the Web site at SUN Microsystems or at IBM: SUN : http://java.sun.com/ IBM : http://www.ibm.com/java/ In general, this manual serves as a basic introduction to a subset of functionality provided by the Java CoG Kit. This manual does not explain every package, class, and method. This manual is intended to show you that the Java CoG Kit provides an effective way of accessing the Grid through Java

• Analysis and Provision of QoS for Distributed Grid Applications.

  Authors: Rashid J. Al-Ali, Kaizar Amin, Gregor von Laszewski, Omer F. Rana, David W. Walker, Mihael Hategan, Nestor J. Zaluzec

  J. Grid Comput. 01/2004; 2:163-182.

• Abstracting the Grid.

  Authors: Kaizar Amin, Mihael Hategan, Gregor von Laszewski, Nestor J. Zaluzec

  12th Euromicro Workshop on Parallel, Distributed and Network-Based Processing (PDP 2004), 11-13 February 2004, A Coruna, Spain; 01/2004

• GridAnt: A Client-Controllable Grid Work.ow System.

  Authors: Kaizar Amin, Gregor von Laszewski, Mihael Hategan, Nestor J. Zaluzec, Shawn Hampton, Albert Rossi

  01/2004

• QoS support for high-performance scientific Grid applications.

  Authors: Rashid J. Al-Ali, Gregor von Laszewski, Kaizar Amin, Mihael Hategan, Omer F. Rana, David W. Walker, Nestor J. Zaluzec

  4th IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGrid 2004), April 19-22, 2004, Chicago, Illinois, USA; 01/2004

• High-Level Grid Execution Patterns.

  Authors: Kaizar Amin, Gregor von Laszewski

  Distributed Computing - IWDC 2004, 6th International Workshop, Kolkata, India, December 27-30, 2004, Proceedings; 01/2004

• An Overview of Grid File Transfer Patterns and Their Implementation in the Java CoG Kit.

  Authors: Gregor von Laszewski, Jarek Gawor, Pawel Plaszczak, Mihael Hategan, Kaizar Amin, Ravi K. Madduri, Scott Gose, S. Shankar

  Neural Parallel & Scientific Comp. 01/2004; 12:329-352.

• Community Software Development with the Astrophysics Simulation Collaboratory

  Authors: Gregor Von Laszewski, Jason Novotny, Edward Seidel

  02/2003;

  this paper we describe both the framework, services, and components needed to construct Grid-enabled collaboratories, and the particular application of these technologies within our ASC. The ASC [7,this paper we describe both the framework, services, and components needed to construct Grid-enabled collaboratories, and the particular application of these technologies within our ASC. The ASC [7, 21]fulfills the following general requirements posed by the astrophysics simulation community: . Promote the creation of a community for sharing and developing simulation codes and scientific results. The Grid infrastructure promotes the creation of virtual organizations [14] (VOs) within which resources are shared across institutional boundaries through Grid services

• Flow-Based Multistage Co-Allocation Service.

  Authors: Sudeepth Anand, Srikanth B. Yoginath, Gregor von Laszewski, Beulah Alunkal, Xian-He Sun

  Proceedings of the International Conference on Communications in Computing, CIC '03, June 23 - 26, 2003, Las Vegas, Nevada, USA; 01/2003

• A File Transfer Component for Grids.

  Authors: Gregor von Laszewski, Beulah Alunkal, Jarek Gawor, Ravi Madhuri, Pawel Plaszczak, Xian-He Sun

  Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, PDPTA '03, June 23 - 26, 2003, Las Vegas, Nevada, USA, Volume 1; 01/2003

• QoS Guided Min-Min Heuristic for Grid Task Scheduling.

  Authors: Xiaoshan He, Xian-He Sun, Gregor von Laszewski

  J. Comput. Sci. Technol. 01/2003; 18:442-451.

• Grid Computing for the Masses: An Overview.

  Authors: Kaizar Amin, Gregor von Laszewski, Armin R. Mikler

  Grid and Cooperative Computing, Second International Workshop, GCC 2003, Shanghai, China, December 7-10, 2003, Revised Papers, Part II; 01/2003

• An OGSA-Based Quality of Service Framework.

  Authors: Rashid J. Al-Ali, Kaizar Amin, Gregor von Laszewski, Omer F. Rana, David W. Walker

  Grid and Cooperative Computing, Second International Workshop, GCC 2003, Shanghai, China, December 7-10, 2003, Revised Papers, Part II; 01/2003

• Distance Visualization: Data Exploration on the Grid

  Authors: Ian Foster, Joseph Insley, Carl Kesselman, Gregor Von Laszewski, Marcus Thiebaux

  10/2002;

  Scientific visualization has emerged as an important tool for extracting meaning from the large volumes of data produced by scientific instruments and simulations. Increasingly, the visualizationScientific visualization has emerged as an important tool for extracting meaning from the large volumes of data produced by scientific instruments and simulations. Increasingly, the visualization process must deal with data sources, end users, analysis devices, and visualization devices that are geographically distributed. Such distance visualization scenarios introduce new challenges: for example, security, wide area networks, heterogeneity, and unreliable components. In this article, we explain how new approaches to visualization architecture can allow us to address these challenges in a principled fashion. In particular, we emphasize how infrastructure being developed for emerging national-scale computational "Grids" can be leveraged to both simplify and enhance the robustness, performance, and portability of distance visualization systems. We illustrate this discussion by reference to a substantial distance visualization application: a system for the collaborative, online reconstruction and analysis of tomographic data from remote X-ray sources and electron microscopes.

• InfoGram: A Grid Service that Supports Both Information Queries and Job Execution

  Authors: Gregor Von Laszewski, Ian Foster, Jarek Gawor, Andreas Schreiber, Carlos J. Pena

  08/2002;

  The research described in this paper is performed as part of the Globus Project. It introduces a new Grid service called InfoGram that combines the ability of serving as information service and as aThe research described in this paper is performed as part of the Globus Project. It introduces a new Grid service called InfoGram that combines the ability of serving as information service and as a job execution service. Previously, both services were architected and implemented within the Globus Toolkit as two different services with different wire protocols. Our service demonstrates a significant simplification of the architecture while treating job submissions and information queries alike. The advantage of our service is that it provides backwards compatibility to existing Grid services, while at the same time providing forwards compatibility to the emerging Web services world. Part of the work conducted within this effort is already reused by the current Open Grid Services Architecture prototype implementation.

• Software, Component, and Service Deployment in Computational Grids

  Authors: Gregor Von Laszewski, Eric Blau, Michael Bletzinger, Jarek Gawor, Peter Lane, Stuart Martin, Michael Russell

  08/2002;

  Grids comprise an infrastructure that enables scientists to use a diverse set of distributed remote services and resources as part of complex scientific problem-solving processes. We analyze some ofGrids comprise an infrastructure that enables scientists to use a diverse set of distributed remote services and resources as part of complex scientific problem-solving processes. We analyze some of the challenges involved in deploying software and components transparently in Grids. We report on three practical solutions used by the Globus Project. Lessons learned from this experience lead us to believe that it is necessary to support a variety of software and component deployment strategies. These strategies are based on the hosting environment.