• DocumentCode
    2496941
  • Title

    Towards elastic key-value stores on IaaS

  • Author

    Han Li ; Venugopal, S.

  • Author_Institution
    Sch. of Comput. Sci. & Eng., Univ. of New South Wales, Sydney, NSW, Australia
  • fYear
    2013
  • fDate
    8-12 April 2013
  • Firstpage
    302
  • Lastpage
    305
  • Abstract
    Key-value stores such as Cassandra and HBase have gained popularity as for their scalability and high availability in the face of heavy workloads and hardware failure. Many enterprises are deploying applications backed by key-value stores on to resources leased from Infrastructure as a Service (IaaS) providers. However, current key-value stores are unable to take full advantage of the resource elasticity provided by IaaS providers due to several challenges: i) high performance of data access in virtualised environments; ii) load-rebalancing as the system scales up and down; and iii) the lack of autoscaling controllers. In this paper I present my research efforts on addressing these issues to provide an elastic key-value store deployed in IaaS environments.
  • Keywords
    cloud computing; resource allocation; virtual machines; virtualisation; IaaS environments; cloud computing; data access high performance; elastic key-value stores; infrastructure-as-a-service; lack-of-autoscaling controllers; load-rebalancing; resource elasticity; virtualised environments; Cloud computing; Data models; Databases; Elasticity; Peer-to-peer computing; Random access memory; Scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2013 IEEE 29th International Conference on
  • Conference_Location
    Brisbane, QLD
  • Print_ISBN
    978-1-4673-5303-8
  • Electronic_ISBN
    978-1-4673-5302-1
  • Type

    conf

  • DOI
    10.1109/ICDEW.2013.6547469
  • Filename
    6547469