Distributed and grid computing projects with research focus in human health

Marianna Diomidous, Dimitrios Zikos

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Distributed systems and grid computing systems are used to connect several computers to obtain a higher level of performance, in order to solve a problem. During the last decade, projects use the World Wide Web to aggregate individuals' CPU power for research purposes. This paper presents the existing active large scale distributed and grid computing projects with research focus in human health. There have been found and presented 11 active projects with more than 2000 Processing Units (PUs) each. The research focus for most of them is molecular biology and, specifically on understanding or predicting protein structure through simulation, comparing proteins, genomic analysis for disease provoking genes and drug design. Though not in all cases explicitly stated, common target diseases include research to find cure against HIV, dengue, Duchene dystrophy, Parkinson's disease, various types of cancer and influenza. Other diseases include malaria, anthrax, Alzheimer's disease. The need for national initiatives and European Collaboration for larger scale projects is stressed, to raise the awareness of citizens to participate in order to create a culture of internet volunteering altruism.

Original languageEnglish
Title of host publicationLarge Scale Projects in eHealth
Subtitle of host publicationPartnership in Modernization - Proceedings of the EFMI Special Topic Conference, EFMI STC 2012
Pages116-120
Number of pages5
Volume174
DOIs
Publication statusPublished - 2012
EventEuropean Federation for Medical Informatics Special Topic Conference, EFMI STC 2012 - Moscow, Russian Federation
Duration: 18 Apr 201220 Apr 2012

Other

OtherEuropean Federation for Medical Informatics Special Topic Conference, EFMI STC 2012
Country/TerritoryRussian Federation
CityMoscow
Period18/04/1220/04/12

Keywords

  • Distributed computing
  • Grid computing
  • Molecular biology
  • Research

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