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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Topic 5: Parallel and Distributed Data Management
verfasst von : Domenico Talia, Alex Delis, Haimonti Dutta, Arkady Zaslavsky
Erschienen in: Euro-Par 2012 Parallel Processing
Verlag: Springer Berlin Heidelberg
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The ever-increasing data volumes used to empower contemporary data-intensive applications as well as aggregations of computing systems call for novel approaches and efficient techniques in the management of geographically dispersed data. Despite recent advances, Internet-scale requirements for both applications and underlying systems require effective provisioning, staging,manipulation, continuous maintenance and monitoring of data hosted in multiple, pre-existing autonomous, distributed and often heterogeneous systems. Evidently, the notions of parallelism and concurrent execution at all levels remain key elements in attaining scalability and effective management for nearly-all modern data-intensive applications. Moreover, as underlying computing environments get transformed through the introduction of novel infrastructures, enhanced capacities and extended functionalities, new solutions are sought to cope with these changes.