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High availability of big-geo-data as a platform as a service

: Förster, Tim; Thum, Simon; Kuijper, Arjan


Nah, F. F.-H.; Tan, C.-H.:
HCI in business, government, and organizations: information systems. Proceedings. Part 1 : Third international conference, HCIBGO 2016, held as part of HCI international 2016, Toronto, Canada, July 17-22, 2016
Heidelberg: Springer, 2016 (Lecture Notes in Computer Science (LNCS) 9751)
ISBN: 978-3-319-39395-7
ISBN: 978-3-319-39396-4
International Conference on HCI in Business, Government and Organizations (HCIBGO) <3, 2016, Toronto>
International Conference on Human-Computer Interaction (HCI International) <18, 2016, Toronto>
Fraunhofer IGD ()
3D geographic information systems (GIS); geodata; Big Data; Guiding Theme: Smart City; Research Area: Human computer interaction (HCI); Research Area: (Interactive) simulation (SIM)

There are ever-increasing challenges in the development of spatial data. The data increase rises continuously. The sharp rise in these information collections more and more data storage is required. Furthermore, should the systems have high availability and provide acceptable response time under load. The fulfillment of such requirement can be limited realized with a simple client / server system, since these do not scale well and act slowly in poor conditions. Therefore, more and more applications are deployed in the cloud as a service. This brings many benefits; inter alia, improving the availability and scalability of services. In this work the design decisions is demonstrated using an existing server system that are necessary for the realization of the product in the cloud. This product is then provided as a “Platform as a Service”. Here points are as discussed persistence in distributed systems and cloud API design. This is then tested in a distributed system and compared against a simple client / server system. Also, a model is presented, thus the availability of the system is calculated.