Remote job management in the Möbius modeling framework

Ken Keefe; Quincy Mitchell; Eric Rozier; William H. Sanders

doi:10.1109/QEST.2009.50

Remote job management in the Möbius modeling framework

Ken Keefe, Quincy Mitchell, Eric Rozier, William H. Sanders

Research output: Contribution to conference › Paper › peer-review

Abstract

Large and complex models can often benefit from parallel execution on multiple machines. In the Möbius modeling environment, this is especially true of models for which the user wants to examine several independent configurations or parameterizations. A Remote Job Server with the capability to securely forward jobs to remote workstations or securely submit jobs via a standard batch submission system, manage these remote jobs, and collect results from the remote processes has been implemented in the tool. With the Remote Job Server, Möbius users can painlessly parallelize the execution of their models across many platforms and network topologies. This paper describes the Remote Job Server and summarizes other recent extensions to the M öbius tool.

Original language	English (US)
Pages	209-210
Number of pages	2
DOIs	https://doi.org/10.1109/QEST.2009.50
State	Published - 2009
Externally published	Yes
Event	QEST - 6th International Conference on the Quantitative Evaluation of Systems - Budapest, Hungary Duration: Sep 13 2009 → Sep 16 2009

Other

Other	QEST - 6th International Conference on the Quantitative Evaluation of Systems
Country/Territory	Hungary
City	Budapest
Period	9/13/09 → 9/16/09

ASJC Scopus subject areas

Computer Networks and Communications
Control and Systems Engineering
Electrical and Electronic Engineering

Online availability

10.1109/QEST.2009.50

Library availability

Discover UIUC Full Text

Cite this

@conference{23b5046be8a84c77a39dc531ceb575c9,

title = "Remote job management in the M{\"o}bius modeling framework",

abstract = "Large and complex models can often benefit from parallel execution on multiple machines. In the M{\"o}bius modeling environment, this is especially true of models for which the user wants to examine several independent configurations or parameterizations. A Remote Job Server with the capability to securely forward jobs to remote workstations or securely submit jobs via a standard batch submission system, manage these remote jobs, and collect results from the remote processes has been implemented in the tool. With the Remote Job Server, M{\"o}bius users can painlessly parallelize the execution of their models across many platforms and network topologies. This paper describes the Remote Job Server and summarizes other recent extensions to the M {\"o}bius tool.",

author = "Ken Keefe and Quincy Mitchell and Eric Rozier and Sanders, {William H.}",

year = "2009",

doi = "10.1109/QEST.2009.50",

language = "English (US)",

pages = "209--210",

note = "QEST - 6th International Conference on the Quantitative Evaluation of Systems ; Conference date: 13-09-2009 Through 16-09-2009",

}

TY - CONF

T1 - Remote job management in the Möbius modeling framework

AU - Keefe, Ken

AU - Mitchell, Quincy

AU - Rozier, Eric

AU - Sanders, William H.

PY - 2009

Y1 - 2009

N2 - Large and complex models can often benefit from parallel execution on multiple machines. In the Möbius modeling environment, this is especially true of models for which the user wants to examine several independent configurations or parameterizations. A Remote Job Server with the capability to securely forward jobs to remote workstations or securely submit jobs via a standard batch submission system, manage these remote jobs, and collect results from the remote processes has been implemented in the tool. With the Remote Job Server, Möbius users can painlessly parallelize the execution of their models across many platforms and network topologies. This paper describes the Remote Job Server and summarizes other recent extensions to the M öbius tool.

AB - Large and complex models can often benefit from parallel execution on multiple machines. In the Möbius modeling environment, this is especially true of models for which the user wants to examine several independent configurations or parameterizations. A Remote Job Server with the capability to securely forward jobs to remote workstations or securely submit jobs via a standard batch submission system, manage these remote jobs, and collect results from the remote processes has been implemented in the tool. With the Remote Job Server, Möbius users can painlessly parallelize the execution of their models across many platforms and network topologies. This paper describes the Remote Job Server and summarizes other recent extensions to the M öbius tool.

UR - http://www.scopus.com/inward/record.url?scp=74049149989&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=74049149989&partnerID=8YFLogxK

U2 - 10.1109/QEST.2009.50

DO - 10.1109/QEST.2009.50

M3 - Paper

AN - SCOPUS:74049149989

SP - 209

EP - 210

T2 - QEST - 6th International Conference on the Quantitative Evaluation of Systems

Y2 - 13 September 2009 through 16 September 2009

ER -

Remote job management in the Möbius modeling framework

Abstract

Other

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this