• DocumentCode
    3772394
  • Title

    Containerized SQL Query Evaluation in a Cloud

  • Author

    Weining Zhang;David Holland

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Texas at San Antonio, San Antonio, TX, USA
  • fYear
    2015
  • Firstpage
    1010
  • Lastpage
    1017
  • Abstract
    Recent advance in cloud computing and light-weight software container technology opens up opportunities to execute data intensive applications where data is located. Noticeably, current database services offered on cloud platforms have not fully utilized container technologies. In this paper we present an architecture of a cloud-based, relational database as a service (DBaaS) that can package and deploy a query evaluation plan using light-weight container technology and the underlying cloud storage system. We then focus on an example of how a select-join-project-order query can be containerized and deployed in ZeroCloud. Our preliminary experimental results confirm that a containerized query can achieve a high degree of elasticity and scalability, but effective mechanisms are needed to deal with data skew.
  • Keywords
    "Cloud computing","Containers","Query processing","Partitioning algorithms","Servers"
  • Publisher
    ieee
  • Conference_Titel
    Smart City/SocialCom/SustainCom (SmartCity), 2015 IEEE International Conference on
  • Type

    conf

  • DOI
    10.1109/SmartCity.2015.202
  • Filename
    7463857