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

摘要

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