Social-data storage-systems

  • Authors:
  • Nicolas Ruflin;Helmar Burkhart;Sven Rizzotti

  • Affiliations:
  • University of Basel, Schanzenstrasse, Basel, Switzerland;University of Basel, Schanzenstrasse, Basel, Switzerland;University of Basel, Schanzenstrasse, Basel, Switzerland

  • Venue:
  • Databases and Social Networks
  • Year:
  • 2011

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Abstract

The amount of social data produced by a wide variety of social platforms grows every day. Storing and querying this huge amount of data in almost real time presents a challenge to storage systems in order to scale up to hundreds or thousands of nodes. Also the graph structure and the diverse and changing structure of every single node in social data has to be handled by these systems. In this paper, we describe five storage system types on the basis of eight current open source storage system solutions in order to analyze their application potential.