MapCloud: A Distributed, Combinatory SOA-Method for 3D Map Data Delivery
Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
MapCloud is a solution combing four different Software Oriented Architecture (SOA) methods to obtain a reliable and efficient delivery method for digital map data, more precisely 3D map data.Mapping software use large amount of data including mapping data, aerial imagery and 3D models. Pre-processing data is a cumbersome task due the sheer amount of data that needs to be handled. The challenge is also on the other end, when the data is accessed in real-time. This process needs to be fast and reliable. This theses is done at Agency9. Agency9 is a Swedish company offering mapping and Geographic Information System (GIS) software and services worldwide.Agency9’s current system and workflow is limited to a set of single high performing servers for processing and preparation. In the workflow there are also manual steps that constitute a bottleneck for administration due to the need of copying huge amounts of data. From a design standpoint MapCloud overcomes these shortcomings. The workflow of MapCloud utilizes parallel data processing for preparation and distributed, resilient, access method with high-throughput for web-centric map applications.
Place, publisher, year, edition, pages
2015. , 24 p.
Technology, map, GIS, aerial photo, storage, database, preprocessing
Teknik, Kartor, GIS, lagring, preprocessning, flybilder, databas
IdentifiersURN: urn:nbn:se:ltu:diva-48038Local ID: 58365c00-9e34-4de1-8df6-cecdc7885bbcOAI: oai:DiVA.org:ltu-48038DiVA: diva2:1021376
Subject / course
Student thesis, at least 15 credits
Computer Science and Engineering, bachelor's level
Validerat; 20150625 (global_studentproject_submitter)2016-10-042016-10-04Bibliographically approved