Cloud computing in a distributed e-infrastructure using theweb processing service standard

摘要

New Science paradigms have recently evolved to promote open publication of scientific findingsas well as multi-disciplinary collaborative approaches to scientific experimentation. Theseapproaches can facemodern scientific challenges but must deal with large quantities of data producedbyindustrial andscientificexperiments.These data, so-calledBig Data, require to introducenewcomputer science systems to help scientists cooperate, extract information, and possibly producenew knowledge out of the data. E-infrastructures are distributed computer systems thatfoster collaboration between users and can embed distributed and parallel processing systemsto manage big data. However, in order to meet modern Science requirements, e-Infrastructuresimpose several requirements to computational systems in turn, eg, being economically sustainable,managing community-providedprocesses, using standard representations forprocessesanddata, managing big data size and heterogeneous representations, supporting reproducible Science,collaborative experimentation, and cooperative online environments, managing securityand privacy for data and services. In this paper, we present a cloud computing system (gCubeDataMiner) that meets these requirements and operates in an e-Infrastructure, while sharingcharacteristics with state-of-the-art cloud computing systems. To this aim, DataMiner uses theweb processing service standard of the open geospatial consortium and introduces features likecollaborative experimental spaces, automatic installation of processes and services on top ofa flexible and sustainable cloud computing architecture. We compare DataMiner with anothermature cloud computing system and highlight the benefits our system brings, the new paradigmsrequirements it satisfies, and the applications that can be developed based on this system.