Systems for data processing, anaylsis and representation

Allam, Mosaad; Plunkett, Gordon

Bibliographic data

Monograph

Persistent identifier:: 1067490280

Title:: Systems for data processing, anaylsis and representation

Sub title:: ISPRS Commission II Symposium : June 6 - 10, Ottawa, Canada

Scope:: 1 Online-Ressource (XX, 530 Seiten)

Year of publication:: 1994

Place of publication:: Ottawa

Publisher of the original:: The Surveys, Mapping and Remote Sensing, Natural Resources Canada

Identifier (digital):: 1067490280

Illustration:: Illustrationen

Signature of the source:: ZS 312(30,2)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist aus dem Copyrightjahr ermittelt.

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Allam, Mosaad; Plunkett, Gordon

Corporations:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Adapter:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Founder of work:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Other corporate:: Symposium Systems for Data Processing, Analysis and Representation, 1994, Ottawa; International Society for Photogrammetry and Remote Sensing; International Society for Photogrammetry and Remote Sensing, Commission Instrumentation for Data Reduction and Analysis; Kanada, Surveys, Mapping and Remote Sensing Sector

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Monograph

Collection:: Earth sciences

Chapter

Title:: [Thursday, June 9, 1994]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: [Session I-I WG II/3 - Technologies for Large Volumes of Spatial Data - Part C]

Document type:: Monograph

Structure type:: Chapter

Chapter

Title:: The Client-Server Architecture of Delta-X Jan Medved [...] Juraj Petras [...]

Document type:: Monograph

Structure type:: Chapter

IG. = données tue um 1x-mémes ute une nsemble nplexité ler. des et les vue des Sentées bles par 1ées et devrait SIG qui le. Le jases de es dans grande nes de résente mise au 'eption, révision ère de .ogiques Lon des ant le The Client-Server Architecture of Delta-X Jan Medved Natural Resources Canada, 615 Booth Street, Ottawa, Ontario, KIA 0A9 Juraj Petras Interobjects Spatial Research, P. O. Box 5836, Ottawa, Ontario, K2E 6K2 Abstract Delta-X is a federated multidatabase system that provides inter-operability between different database man- agement systems (DBMS). It is based on the assumption that each underlying DBMS is based on the client- server architecture and each client workstation is connected to a network that is configured with access to at least one DBMS server. A client, besides being able to query and access a server database, is typically config- ured as a geographic Information System’s workstation. This paper describes the separate functionalities of a client and a server, and the mode of interconnection and inter-operability between them. We describe the architecture, configuration requirements, services offered by servers and client-server and server-server com- munication within the Delta-X system. Keywords Distributed databases, inter-operability, transaction processing systems, client-server architectures, GIS. 1.0 Introduction The deployment of large local and wide area net- works (LANs and WANS) that connect thousands of client and server nodes together with the availability of a great variety of software packages that store and manipulate data (in our case, geomatic data) will soon cause software interoperability and data com- patibility problems. Different people and depart- ments within large organizations, which often use different (and incompatible) GIS systems and store their geomatic data in different locations, need to share their data with each other. Also, organizations need to share data with other organizations. Apart from the software and data compatibility problems, sharing of geographically distributed data poses multiple organizational problems, such as how to advertise the availability of data to the user com- munity, or how to store data for best availability and/ or transfer performance. To address the above issues, we designed and imple- mented Delta-X, a system that connects over a LAN or WAN a heterogeneous network of databases serv- ers to various GIS clients. A GIS client can be a workstation running any commercially available GIS system, such as CARIS [6] or ARC/INFO [5]. Delta-X creates a platform for a seamless exchange of geomatic data between different systems on dif- ferent locations. Delta-X enables uniform integrated access to data from different geographic information systems. A GIS can export data to Delta-X or import data from Delta-X in many different formats, such as CCOGIF, SIF, ARC/INFO, or CARIS. Our cur- rent implementation of Delta-X stores different types of geomatic data - spatial data (vector or ras- ter), spatial data attributes, structured text, and oth- ers. This can be easily modified to store other types of spatial and non-spatial data. From a user's perspective, Delta-X is a distributed billboard through which users can exchange data. Data enters Delta-X in one format on one location, and the same data exits Delta-X in a different format on a different location. Note also, that although the Delta-X prototype works with GIS data, its architec- ture, design, and implementation can be applied to any type of data. In a sense, GIS data constitutes a very difficult case among applications that can use the Delta-X paradigm because of large volumes of data that need to be stored, converted, and trans- ferred within a network, and because of a large vari- ety of formats that the data can be presented in. The underlying paradigm of Delta-X is that of a dis- tributed database. Data in Delta-X is stored on mul- tiple servers distributed across a LAN or WAN. The 353

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