Scalable data collection infrastructure for digital government applications

ABSTRACT

Highlights are presented of a project on the development of a scalable data collection infrastructure of digital government applications. The approach takes advantage of both the distributed nature of the data and the distributed ways of interacting with it. The approach is three-parted having theoretical, systems, and application components. On the theoretical and systems levels, work has continued on the development of the BISTRO system. On the applications level, work has continued on the investigation of the use of peer-to-peer networks in a number of domains in which the proper handling of spatial data is important.

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.2 COMPUTER-COMMUNICATION NETWORKS
      C.2.4 Distributed Systems
          Subjects: Distributed databases

Additional Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.8 Metrics
          Subjects: Complexity measures; Performance measures

  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Spatial databases and GIS

General Terms:
Algorithms, Measurement, Performance, Security