[Colloquium] Tomorrow: Trebon/MS Presentation/June 18, 2008

[Margaret Jaffey]

This is reminder about Nick Trebon's MS Presentation tomorrow.

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Date:  Wednesday, June 18, 2008

Time:  12:30 p.m.

Place:  RI 405 (Research Institutes at 5640 S. Ellis Ave.)

M.S. Candidate:  Nick Trebon

M.S. Paper Title:  Deadline-based Grid Resource Selection for Urgent  
Computing

Abstract:
Scientific simulation and modeling often aid in making critical  
decisions in such diverse fields as city planning, severe weather  
prediction, and influenza modeling. In some of these situations, the  
decisions must be made before a strict deadline, after which the  
results are of little use. Therefore, it is imperative that these  
urgent computations begin execution as quickly as possible. The  
Special PRiority and Urgent Computing Environment (SPRUCE) aims to  
provide faster access to computational Grid resources for urgent  
computations. Participating Grid resources define local policies that  
dictate how urgent computing jobs are handled. For instance, some  
resources may kill currently running jobs to allow immediate access,  
whereas other resources may only grant next-to-run status. However,  
the user is still faced with the challenging problem of resource  
selection. In particular, the user must select the configuration  
(i.e., specification of the computational resource, data repositories,  
urgent computing policy and runtime parameters) that will provide the  
highest probability of meeting the desired deadline. The purpose of  
this thesis is to present and evaluate a set of methodologies and  
heuristics that generate empirically based, probabilistic upper bounds  
for the total turnaround time (i.e., file staging, batch queue, and  
execution delay) for urgent computations. These upper bounds may then  
be used to guide the user in selecting a configuration that offers the  
greatest probability of meeting a given deadline. Also provided to  
guide the user is supplemental data, such as the current queue state  
at each resource and the historical reliability of the computation at  
a given resource.

Advisor:  Prof. Ian Foster

A draft copy of Nick Trebon's MS paper is available in Ry 156.


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Margaret P. Jaffey                             margaret at cs.uchicago.edu
Department of Computer Science
Student Support Rep (Ry 156)        (773) 702-6011
The University of Chicago                  http://www.cs.uchicago.edu
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