(Enter summary)
Abstract: One of the compelling reasons for developing the Information Power
Grid (IPG) is to provide a platform for more rapid development and execution
of simulations and other resource-intensive applications. However,
the IPG will ultimately not be successful unless users and application
developers can achieve execution performance for their codes. In this paper,
we describe a performance-efficient approach to scheduling applications
in dynamic multiple-user distributed environments such as the IPG.... (Update)
Context of citations to this paper: More
.... requirements and dynamic resource performance information to schedule distributed applications in multi user distributed environments [5, 20, 27]. AppLeS applicationlevel schedulers use a performance model (based on the application s communication and computational needs) which...
...System Scheduling A number of grid systems have implemented methods of scheduling grid jobs. The Application Level Scheduler (AppLeS) [Zag98] is a user level scheduler designed to run with an existing grid system. It uses dynamic system information, including network...
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2: the Legion team, `The Legion Vision of a Worldwide Virtual Computer (context) - Grimshaw, Wulf - 1997
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BibTeX entry: (Update)
D. Zagorodnov, F. Berman, and R. Wolski. Application Scheduling on the Information Power Grid. International Journal of High-Performance Computing, 1998. 8 http://citeseer.ist.psu.edu/zagorodnov98application.html More
@techreport{ zagorodnov00application,
author = "Dmitrii Zagorodnov and Francine Berman and Rich Wolski",
title = "Application Scheduling on the Information Power Grid",
number = "CS2000-0644",
month = "11,",
pages = "15",
year = "2000",
url = "citeseer.ist.psu.edu/zagorodnov98application.html" }
Citations (may not include all citations):
659
Globus: A metacomputing infrastructure toolkit
- Foster, Kesselman - 1997
214
The network weather service: A distributed resource performa..
- Wolski, Spring et al. - 1998
187
NetSolve: A network server for solving computational science..
- Casanova, Dongarra - 1996 ACM
182
Application level scheduling on distributed heterogeneous ne..
- Berman, Wolski et al. - 1996
169
Dynamically forecasting network performance using the networ..
- Wolski - 1998 DBLP
74
High performance schedulers
- Berman - 1998
64
Legion: The next logical step toward a nationwide virtual co..
- Grimshaw, Wulf et al. - 1994
32
Performance prediction in production environments
- Schopf, Berman - 1998 ACM DBLP
26
Application level scheduling: Gene sequence library comparis.. (context) - Spring, Wolski - 1998
14
Using apples to schedule a distributed visualization tool on.. (context) - Su, Berman et al. - 1998
13
Performance Prediction and Scheduling for Parallel Applicati..
- Schopf - 1998 ACM
13
The nimrod computational workbench: A case study in desktop ..
- Abramson, Foster et al. - 1997
12
A comparison of implicit schemes for the incompressible navi.. (context) - Rogers - 1995
6
Performance effects of scheduling strategies for master/slav..
- Shao, Wolski et al. - 1998
3
Simulation steering with SCIRun in a distributed memory envi..
- Miller, Hansen et al. - 1998
Documents on the same site (http://www.cs.ucsd.edu/groups/hpcl/apples/hetpubs.html): More
The AppLeS Project: A Status Report - Berman, Wolski (1997)
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Modeling the Cost of Redistribution in Scheduling - Shao, Wolski, Berman (1997)
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Modeling Contention Effects in Clustered Environments - Figueira, Berman (1996)
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