Scalable Cloud Data Management with Polyglot Persistence
Norbert Ritter
University of Hamburg,
Mittelweg 177, 20148 Hamburg, Germany [email protected]
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. G¨org, G. M¨uller (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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