Scalable Cloud Data Management with Polyglot
                 Persistence

                                  Norbert Ritter

                           University of Hamburg,
                   Mittelweg 177, 20148 Hamburg, Germany
                     ritter@informatik.uni-hamburg.de
             https://vsis-www.informatik.uni-hamburg.de/vsis/



     Abstract. The combination of database systems and cloud comput-
     ing is extremely attractive: unlimited storage capacities, elastic scala-
     bility and as-a-service models seem to be within reach. This talk first
     gives a brief survey of existing solutions for cloud databases that evolved
     in the last years and provides classification and comparison. In prac-
     tice however, several severe problems remain unsolved. Latency, scalable
     transactions, SLAs, multi-tenancy, abstract data modelling, elastic scal-
     ability and polyglot persistence pose daunting tasks for many applica-
     tions. Therefore, we introduce Orestes, a database-as-a-service middle-
     ware which aims at tackling all these problems through an integrative
     approach. To this end, Orestes incorporates intelligent web caching, au-
     tonomous management of polyglot storage systems, and realtime pro-
     cessing of continuous queries in order to provide a comprehensive and
     effective infrastructure for cloud data management.




 Copyright c 2015 by the papers authors. Copying permitted only for private and
 academic purposes. In: R. Bergmann, S. Görg, G. Müller (Eds.): Proceedings of
 the LWA 2015 Workshops: KDML, FGWM, IR, and FGDB. Trier, Germany, 7.-9.
 October 2015, published at http://ceur-ws.org




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