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High Availability of Big-Geo-Data as a Platform as a Service

Förster, Tim and Thum, Simon and Kuijper, Arjan (2016):
High Availability of Big-Geo-Data as a Platform as a Service.
In: HCI in Business, Government, and Organizations: eCommerce and Innovation, Proceedings, Part I, Springer International Publishing, Switzerland, In: Third International Conference, HCIBGO 2016, Toronto, Canada, July 17-22, 2016, In: Lecture Notes in Computer Science (LNCS); 9751, DOI: 10.1007/978-3-319-39396-4₂₈,
[Conference or Workshop Item]

Abstract

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.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Förster, Tim and Thum, Simon and Kuijper, Arjan
Title: High Availability of Big-Geo-Data as a Platform as a Service
Language: English
Abstract:

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.

Title of Book: HCI in Business, Government, and Organizations: eCommerce and Innovation, Proceedings, Part I
Series Name: Lecture Notes in Computer Science (LNCS); 9751
Publisher: Springer International Publishing, Switzerland
Uncontrolled Keywords: Guiding Theme: Smart City, Research Area: Human computer interaction (HCI), Research Area: (Interactive) simulation (SIM), 3D Geographic information systems (GIS), Geodata, Big data
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: Third International Conference, HCIBGO 2016
Event Location: Toronto, Canada
Event Dates: July 17-22, 2016
Date Deposited: 07 May 2019 09:29
DOI: 10.1007/978-3-319-39396-4₂₈
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