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Adaptive management framework for scientific workflow applications

  • Youngjoo Han*
  • , Chan Hyun Youn
  • , Dong Ki Kang
  • *Corresponding author for this work
  • Korea Advanced Institute of Science and Technology

Research output: Contribution to conferenceConference paperpeer-review

Abstract

Nowadays, there are many scientific applications that consist of complex processes and services distributed across the different location. In order to meet user QoS, effective workflow scheduling is a key concern to be overcome for the execution of workflow applications in Grid. Thus, in this paper, we propose the adaptive resource management system that includes management functions for integrating workflow management with resource management system. In order to show the effectiveness of the proposed adaptive management framework, we implement OSICC (e-Organ Simulator Integrated Collaborative Computing) system that performs accurate and reliable simulation of the toxicity prediction for drug discovery. Furthermore, the experimental results showed that users could reduce simulation time in their drug discovery through the OSICC system.

Original languageEnglish
Title of host publicationProceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12
DOIs
StatePublished - 2012
Event6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12 - Kuala Lumpur, Malaysia
Duration: 2012.02.202012.02.22

Publication series

NameProceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12

Conference

Conference6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12
Country/TerritoryMalaysia
CityKuala Lumpur
Period12.02.2012.02.22

Keywords

  • Distributed computing
  • Resource scheduling
  • Scientific simulation
  • Workflow management

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