Audsley, N. C.Chan, Y.Gray, I.Wellings, A. J.Cucinotta, TommasoPautet, LaurentGarcía Valls, Marisol2014-11-132014-11-132014-11García Valls, M. et al. (eds.) (2014). 3rd IEEE International Workshop on Real-time and distributed computing in emerging applications. (Co-located with 35th IEEE RTSS). Rome, Italy. December 2nd, 2014. Universidad Carlos III de Madrid, 9-14.978-84-697-1736-3https://hdl.handle.net/10016/19686REACTION 2014. 3rd International Workshop on Real-time and Distributed Computing in Emerging Applications. Rome, Italy. December 2nd, 2014.Cloud computing offers the possibility for Cyber-Physical Systems (CPS) to offload computation and utilise large stored data sets in order to increase the overall system utility. However, for cloud platforms and applications to be effective for CPS, they need to exhibit real-time behaviour so that some level of performance can be guaranteed to the CPS. This paper considers the infrastructure developed by the EU JUNIPER project for enabling real-time big data systems to be built so that appropriate guarantees can be given to the CPS components. The technologies developed include a real-time Java programming approach, hardware acceleration to provide performance, and operating system resource manage-ment (time and disk) based upon resource reservation in order to enhance timeliness.6application/pdfeng© Copyright by the AuthorsAtribución-NoComercial-SinDerivadas 3.0 EspañaSistemas en tiempo realSistemas distribuidoscloud computingdistributed systemsReal-time computingReal-Time Big Data: the JUNIPER Approachconference proceedingsTelecomunicacionesopen access914International Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION 2014)