Database scalability, elasticity, and autonomy in the cloud (Extended abstract)

Divyakant Agrawal, Amr El Abbadi, Sudipto Das, Aaron J. Elmore

Research output: Chapter in Book/Report/Conference proceedingConference contribution

46 Citations (Scopus)

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.

Original languageEnglish
Title of host publicationDatabase Systems for Advanced Applications - 16th International Conference, DASFAA 2011, Proceedings
Pages2-15
Number of pages14
EditionPART 1
DOIs
Publication statusPublished - 28 Apr 2011
Event16th International Conference on Database Systems for Advanced Applications, DASFAA 2011 - Hong Kong, China
Duration: 22 Apr 201125 Apr 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6587 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other16th International Conference on Database Systems for Advanced Applications, DASFAA 2011
CountryChina
CityHong Kong
Period22/4/1125/4/11

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Keywords

  • Cloud computing
  • autonomic systems
  • elasticity
  • scalability

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Agrawal, D., El Abbadi, A., Das, S., & Elmore, A. J. (2011). Database scalability, elasticity, and autonomy in the cloud (Extended abstract). In Database Systems for Advanced Applications - 16th International Conference, DASFAA 2011, Proceedings (PART 1 ed., pp. 2-15). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 6587 LNCS, No. PART 1). https://doi.org/10.1007/978-3-642-20149-3_2