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

Anand Padmanabhan; Shaowen Wang

doi:10.1145/1869692.1869697

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010
Pages	27-30
Number of pages	4
DOIs	https://doi.org/10.1145/1869692.1869697
State	Published - 2010
Event	18th ACM SIGSPATIAL International Conference on Advances in Geographic Information System, ACM SIGSPATIAL HPDGIS 2010 - San Jose, CA, United States Duration: Nov 2 2010 → Nov 2 2010

Publication series

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

Other

Other	18th ACM SIGSPATIAL International Conference on Advances in Geographic Information System, ACM SIGSPATIAL HPDGIS 2010
Country/Territory	United States
City	San Jose, CA
Period	11/2/10 → 11/2/10

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

Online availability

10.1145/1869692.1869697

Library availability

Discover UIUC Full Text

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

A distributed resource broker for spatial middleware using adaptive space-filling curve. / Padmanabhan, Anand ; Wang, Shaowen.
Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010. 2010. p. 27-30 (Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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. Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010, pp. 27-30, 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information System, ACM SIGSPATIAL HPDGIS 2010, San Jose, CA, United States, 11/2/10. https://doi.org/10.1145/1869692.1869697

Padmanabhan A , Wang S. 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. 2010. p. 27-30. (Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010). doi: 10.1145/1869692.1869697

Padmanabhan, Anand ; Wang, Shaowen. / A distributed resource broker for spatial middleware using adaptive space-filling curve. Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010. 2010. pp. 27-30 (Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010).

@inproceedings{bf3dedf1520a4e91807d147913cc7ee9,

title = "A distributed resource broker for spatial middleware using adaptive space-filling curve",

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.",

keywords = "Cyberinfrastructure, Geographic information systems, Hilbert space filling curve, Resource brokering, Self-organization, Spatial middleware",

author = "Anand Padmanabhan and Shaowen Wang",

year = "2010",

doi = "10.1145/1869692.1869697",

language = "English (US)",

isbn = "9781450304320",

series = "Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010",

pages = "27--30",

booktitle = "Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010",

note = "18th ACM SIGSPATIAL International Conference on Advances in Geographic Information System, ACM SIGSPATIAL HPDGIS 2010 ; Conference date: 02-11-2010 Through 02-11-2010",

}

TY - GEN

T1 - A distributed resource broker for spatial middleware using adaptive space-filling curve

AU - Padmanabhan, Anand

AU - Wang, Shaowen

PY - 2010

Y1 - 2010

N2 - 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.

AB - 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.

KW - Cyberinfrastructure

KW - Geographic information systems

KW - Hilbert space filling curve

KW - Resource brokering

KW - Self-organization

KW - Spatial middleware

UR - http://www.scopus.com/inward/record.url?scp=78650868856&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78650868856&partnerID=8YFLogxK

U2 - 10.1145/1869692.1869697

DO - 10.1145/1869692.1869697

M3 - Conference contribution

AN - SCOPUS:78650868856

SN - 9781450304320

T3 - Proceedings of the ACM SIGSPATIAL International Workshop on High Performance and Distributed Geographic Information Systems, ACM SIGSPATIAL HPDGIS 2010

SP - 27

EP - 30

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

T2 - 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information System, ACM SIGSPATIAL HPDGIS 2010

Y2 - 2 November 2010 through 2 November 2010

ER -

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

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Online availability

Library availability

Related links

Fingerprint

Cite this