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Introduction

  • Salvatore Orlando
  • Gabriel Antoniu
  • Amol Ghoting
  • Maria S. Perez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6852)

Abstract

The manipulation and handling of an ever increasing volume of data by current data-intensive applications require novel techniques for efficient data management. Despite recent advances in every aspect of data management (storage, access, querying, analysis, mining), future applications are expected to scale to even higher degrees, not only in terms of volumes of data handled but also in terms of users and resources, often making use of multiple, pre-existing autonomous, distributed or heterogeneous resources.

Keywords

Recommender System Query Processing Lossy Compression Heterogeneous Resource Concurrent Execution 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Salvatore Orlando
  • Gabriel Antoniu
  • Amol Ghoting
  • Maria S. Perez

There are no affiliations available

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