An enabling framework for master-worker applications on the Computational Grid

By Jean-Pierre Goux, Sanjeev Kulkarni, Jeff T. Linderoth, Michael Yoder. Proceedings the Ninth International Symposium on High-Performance Distributed Computing, 2000

301 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture, Information Systems and Management

View Paper: https://www.semanticscholar.org/paper/8baf53f0beadb8c6ab1370f6c6eb3c3503312653

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Ian T Foster
2. Ioan Raicu
3. Yong Zhao
4. Rajkumar Buyya
5. Henri Casanova
6. M. Wilde
7. Miron Livny
8. R. Wolski

In Hardware and Architecture

1. Ian T Foster
2. Henri Casanova
3. Rajkumar Buyya
4. Yong Zhao
5. R. Wolski
6. Francine Berman
7. Graziano Obertelli
8. Ioan Raicu

In Information Systems and Management

1. Ian T Foster
2. Ioan Raicu
3. Yong Zhao
4. Henri Casanova
5. Miron Livny
6. M. Wilde
7. R. Wolski
8. Catalin Dumitrescu

Citations in the corpus

• Fast Statistical Alignment (2009, methodology): “The FSA algorithm was parallelized using a modification of the approach in MW [60].”
• The Anatomy of the Grid: Enabling Scalable Virtual Organizations (2001, unknown): “, 1998) and manager-worker frameworks (Casanova et al., 2000; Goux et al., 2000).”
• Falkon: a Fast and Light-weight tasK executiON framework (2007, background): “In such task graphs, as well as in the popular master-worker model [5], many tasks may be logically executable at once.”
• Condor and the Grid (2003, methodology): “Thus, MW was born [56].”
• Adaptive Computing on the Grid Using AppLeS (2003, methodology): “AMWAT is strongly related to the Condor Master-Worker project [66], [67] which also BERMAN ET AL.”