Optimization of an Experimental Cloud Infrastructure for Earth Observation Services

Processing and distribution of big space data still implies the treatment of massive and large-sized data obtained from Earth Observation satellite recordings. Remote sensing industries implement on-site conventional infrastructures to acquire, store, process and distribute the geo-information generated. However, these solutions present several drawbacks: (i) the cost of acquiring recent Earth images is limiting, (ii) clients have no direct and fast access to needed data as information is processed and distributed spontaneously, and (iii) the service is not flexible, in other words, it does not cover significant changes in the demand of services and the access to the information presents large latencies. Deimos’ research focuses on the development of future internet technologies in order to improve Earth Observation (EO) services and reduce the associated costs. In particular, a cloud infrastructure based on OpenNebula is used, and the Deimos-2 PDGS is optimised by using the ENTICE open source middleware. Experimental results of the implemented system are presented.