An evaluation of biosurveillance grid--dynamic algorithm distribution across multiple computer nodes.

Ming-Chi Tsai, Fu-Chiang Tsui, Michael M Wagner

Abstract read

In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Ming-Chi TsaiRODS Laboratory, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Fu-Chiang Tsui

Michael M Wagner

Funding

Improving Detection of Outbreaks Due to Aerosol AttacksR01PH000026 · PH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOGAN, WILLIAM R · 2005 to 2007

$1.2M

Detectability of Epidemics from Over-the-Counter SalesR21LM008278 · NLM · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI WALLSTROM, GARRICK L · 2004 to 2006

$497k

NLM NIH HHS 5R21LM008278-03NLM NIH HHS R21 LM008278PHPPO CDC HHS 5R01PH00026-02PHPPO CDC HHS R01 PH000026

6 · The paper itself

Abstract

Performing fast data analysis to detect disease outbreaks plays a critical role in real-time biosurveillance. In this paper, we described and evaluated an Algorithm Distribution Manager Service (ADMS) based on grid technologies, which dynamically partition and distribute detection algorithms across multiple computers. We compared the execution time to perform the analysis on a single computer and on a grid network (3 computing nodes) with and without using dynamic algorithm distribution. We found that algorithms with long runtime completed approximately three times earlier in distributed environment than in a single computer while short runtime algorithms performed worse in distributed environment. A dynamic algorithm distribution approach also performed better than static algorithm distribution approach. This pilot study shows a great potential to reduce lengthy analysis time through dynamic algorithm partitioning and parallel processing, and provides the opportunity of distributing algorithms from a client to remote computers in a grid network.

Indexed as

AlgorithmsComputer SystemsDisease OutbreaksComputer Communication NetworksHumansPopulation Surveillance

Identifiers

PMID18693936

PMCPMC2655926

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.