Förster, Tim ; Thum, Simon ; Kuijper, Arjan (2016)
High Availability of Big-Geo-Data as a Platform as a Service.
Third International Conference, HCIBGO 2016. Toronto, Canada (17.07.2016-22.07.2016)
doi: 10.1007/978-3-319-39396-4_28
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Förster, Tim ; Thum, Simon ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | High Availability of Big-Geo-Data as a Platform as a Service |
| Sprache: | Englisch |
| Publikationsjahr: | Juli 2016 |
| Verlag: | Springer International Publishing, Switzerland |
| Buchtitel: | HCI in Business, Government, and Organizations: eCommerce and Innovation, Proceedings, Part I |
| Reihe: | Lecture Notes in Computer Science (LNCS); 9751 |
| Veranstaltungstitel: | Third International Conference, HCIBGO 2016 |
| Veranstaltungsort: | Toronto, Canada |
| Veranstaltungsdatum: | 17.07.2016-22.07.2016 |
| DOI: | 10.1007/978-3-319-39396-4_28 |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Guiding Theme: Smart City, Research Area: Human computer interaction (HCI), Research Area: (Interactive) simulation (SIM), 3D Geographic information systems (GIS), Geodata, Big data |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 07 Mai 2019 09:29 |
| Letzte Änderung: | 07 Mai 2019 09:29 |
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