A distributed resource broker for spatial middleware using adaptive space-filling curve

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

Abstract

Spatial middleware serves as a glue for high-performance and distributed GIS services to harness the computational capabilities of cyberinfrastructure. This paper focuses on the development of an important component of spatial middleware - a distributed resource broker that matches computation tasks of GIS and spatial analysis to appropriate cyberinfrastructure resources to solve computationally intensive GIS and spatial analysis problems. This distributed resource broker is built on computational intensity estimations and a self-organized grouping (SOG) framework. Specifically, we use computational intensity information to enable cyberinfrastructure resource brokering for spatial middleware by exploiting spatial characteristics; and adapt the SOG framework to enhance resource brokering performance through the use of a space filling curve. A new overlay network is designed to inherit the good performance and distributed self-organizing nature of SOG while the use of computational intensity information enhances computational performance of resource brokering for GIS and spatial analysis applications.

Original languageEnglish (US)
Title of host publicationProceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010
Pages27-30
Number of pages4
DOIs
StatePublished - Dec 1 2010
Event18th ACM SIGSPATIAL International Conference on Advances in Geographic Information System, ACM SIGSPATIAL HPDGIS 2010 - San Jose, CA, United States
Duration: Nov 2 2010Nov 2 2010

Publication series

NameProceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010

Other

Other18th ACM SIGSPATIAL International Conference on Advances in Geographic Information System, ACM SIGSPATIAL HPDGIS 2010
CountryUnited States
CitySan Jose, CA
Period11/2/1011/2/10

Keywords

  • Cyberinfrastructure
  • Geographic information systems
  • Hilbert space filling curve
  • Resource brokering
  • Self-organization
  • Spatial middleware

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems

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  • Cite this

    Padmanabhan, A., & Wang, S. (2010). A distributed resource broker for spatial middleware using adaptive space-filling curve. In Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010 (pp. 27-30). (Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010). https://doi.org/10.1145/1869692.1869697