Francine Berman
Rensselaer Polytechnic Institute
114 Papers
2.7K Citations
Francine Berman is an academic researcher from Rensselaer Polytechnic Institute. The author has contributed to research in topics: Grid & Grid computing. The author has an hindex of 43, co-authored 113 publications. Previous affiliations of Francine Berman include San Diego Supercomputer Center & Brigham Young University.
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Papers
•Book
Grid Computing: Making the Global Infrastructure a Reality
Francine Berman,Geoffrey C. Fox,Anthony J. G. Hey,Tony Hey +3 more
- 01 Jan 2003
TL;DR: The Grid Computing: Features contributions from the major players in the field Covers all aspects of grid technology from motivation to applications provided an extensive state-of-the-art guide in grid computing as mentioned in this paper.
1.5K
Application-Level Scheduling on Distributed Heterogeneous Networks
Francine Berman,Rich Wolski,Silvia Figueira,Jennifer M. Schopf,Gary Shao +4 more
- 17 Nov 1996
TL;DR: A set of principles underlying application-level scheduling is defined and a work-in-progress building AppLeS (application- level scheduling) agents are described and illustrated with a detailed description and results for a distributed 2D Jacobi application on two production heterogeneous platforms.
467
New grid scheduling and rescheduling methods in the GrADS project
Francine Berman,Henri Casanova,Andrew A. Chien,Keith D. Cooper,Holly Dail,Anshuman Dasgupta,W. Deng,Jack Dongarra,Lennart Johnsson,Ken Kennedy,Charles Koelbel,B. Liu,X. Liu,Anirban Mandal,Gabriel Marin,M. Mazina,John Mellor-Crummey,Celso L. Mendes,A. Olugbile,Jignesh M. Patel,Daniel A. Reed,Zhiao Shi,Otto Sievert,Huaxia Xia,Asim YarKhan +24 more
TL;DR: This paper presents recent extensions to the GrADS software framework: a new approach to scheduling workflow computations, applied to a 3-D image reconstruction application; a simple stop/migrate/restart approach to rescheduling Grid applications, application to a QR factorization benchmark; and a process-swapping approach to Rescheduling, applications to an N-body simulation.
235
Stochastic Scheduling
Jennifer M. Schopf,Francine Berman +1 more
- 01 Jan 1999
TL;DR: It is demonstrated that a stochastic scheduling policy based on time-balancing for data parallel applications whose execution behavior can be represented as a normal distribution can achieve good and predictable performance for the application as evaluated by several performance measures.
136