GISolve: A grid-based problem solving environment for computationally intensive geographic information analysis

Shaowen Wang, Marc P. Armstrong, Jun Ni, Yan Liu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The purpose of this paper is to demonstrate the design and implementation of GISolve - a Grid-based problem solving environment for computationally intensive geographic information analysis based on geo-middleware. The geo-middleware resides between existing Grid middleware and geographic information analysis applications to manage heterogeneous and dynamic resources on behalf of analysis applications. At the same time, GISolve provides adaptive domain decomposition solutions to parallel geographic information analysis applications. Based on these domain decomposition solutions, GISolve also schedules distributed tasks and manages data transfers. In GISolve, these capabilities are designed as Grid services that are compliant with the open Grid service architecture (OGSA) and are implemented using Grid portal technologies. The GISolve implementation is illustrated based on a case study of a computationally intensive spatial statistic - [G i(d)] that is used to assess spatial dependence among geographically distributional observations.

Original languageEnglish (US)
Title of host publicationProceedings - Challenges of Large Applications in Distributed Environments, CLADE 2005
Pages3-12
Number of pages10
DOIs
StatePublished - Dec 1 2005
Externally publishedYes
Event3rd International Workshop on Challenges of Large Applications in Distributed Environments, CLADE 2005 - Res. Triangle Park, NC, United States
Duration: Jul 24 2005Jul 24 2005

Publication series

NameProceedings - Challenges of Large Applications in Distributed Environments, CLADE 2005
Volume2005

Other

Other3rd International Workshop on Challenges of Large Applications in Distributed Environments, CLADE 2005
CountryUnited States
CityRes. Triangle Park, NC
Period7/24/057/24/05

ASJC Scopus subject areas

  • Engineering(all)

Fingerprint Dive into the research topics of 'GISolve: A grid-based problem solving environment for computationally intensive geographic information analysis'. Together they form a unique fingerprint.

  • Cite this

    Wang, S., Armstrong, M. P., Ni, J., & Liu, Y. (2005). GISolve: A grid-based problem solving environment for computationally intensive geographic information analysis. In Proceedings - Challenges of Large Applications in Distributed Environments, CLADE 2005 (pp. 3-12). [1520892] (Proceedings - Challenges of Large Applications in Distributed Environments, CLADE 2005; Vol. 2005). https://doi.org/10.1109/CLADE.2005.1520892