Database scalability, elasticity, and autonomy in the cloud

  • Authors:

  • Divyakant Agrawal;Amr El Abbadi;Sudipto Das;Aaron J. Elmore

  • Affiliations:

  • Department of Computer Science, University of California at Santa Barbara, Santa Barbara, CA;Department of Computer Science, University of California at Santa Barbara, Santa Barbara, CA;Department of Computer Science, University of California at Santa Barbara, Santa Barbara, CA;Department of Computer Science, University of California at Santa Barbara, Santa Barbara, CA

  • Venue:
  • DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Cloud computing has emerged as an extremely successful paradigm for deploying web applications. Scalability, elasticity, pay-per-use pricing, and economies of scale from large scale operations are the major reasons for the successful and widespread adoption of cloud infrastructures. Since a majority of cloud applications are data driven, database management systems (DBMSs) powering these applications form a critical component in the cloud software stack. In this article, we present an overview of our work on instilling these above mentioned "cloud features" in a database system designed to support a variety of applications deployed in the cloud: designing scalable database management architectures using the concepts of data fission and data fusion, enabling lightweight elasticity using low cost live database migration, and designing intelligent and autonomic controllers for system management without human intervention.