P5 presentation by Adrie Rovers – Exploring the use of a generic spatial access method for caching and efficient retrieval of vario-scale data in a client-server architecture.

Exploring the use of a generic spatial access method for caching and efficient retrieval of vario-scale data in a client-server architecture.

P5 Presentation Friday 11th of november 13:45 BK-CZ B

Abstract:
Vario-scale data structures make it possible to derive maps at arbitrary scale. When requesting a map, data has to be transferred from server to client. This takes time, which affects the responsiveness of the system, and sometimes costs can be involved for every byte that is send over the network. Redundant data transfers should thus be avoided. Having vario-scale data, the opportunity arises to reuse data already present on the client and retrieve only the missing data from the server when requesting a new map. This thesis explores to what extent a generic spatial access method can be used for this purpose, while keeping the service scalable and responsive.

1st mentor: Dr. Ir. Martijn Meijers
2nd mentor: Prof. Dr. Ir. Peter van Oosterom
Co-reader: Ravi Peters, MSc

 

 

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