Abstract

Matching INSPIRE Quality of Service with Hybrid Clouds
Track: Education
Authors: Bastian Baranski

A lot of effort has been invested into Spatial Data Infrastructures (SDIs) during the last decade regarding interoperable standards for services and data. But still the scalability and performance of SDI services is reported to be crucial especially if they are accessed concurrently by a high number of users. This paper presents a Hybrid Cloud architecture for matching Quality of Service (QoS) requirements without investing in rarely used hardware in advance by occupying external third-party resources on a pay-as-you-go basis. The local infrastructure of the Hybrid Cloud is laid out to handle the main load of a service and in lasting peak times additional resources of external providers are allocated and integrated on-demand into the local infrastructure to automatically provide sufficient service quality. A proof-of-concept implementation of the proposed Hybrid Cloud approach is evaluated and benchmarked with respect to INSPIRE related QoS requirements.