• DocumentCode
    141851
  • Title

    PolarDBMS: Towards a cost-effective and policy-based data management in the cloud

  • Author

    Fetai, Ilir ; Brinkmann, Filip M. ; Schuldt, Heiko

  • Author_Institution
    Dept. of Inf. & Math., Univ. of Basel, Basel, Switzerland
  • fYear
    2014
  • fDate
    March 31 2014-April 4 2014
  • Firstpage
    170
  • Lastpage
    177
  • Abstract
    The proliferation of Cloud computing has attracted a large variety of applications which are completely deployed on resources of Cloud providers. As data management is an essential part of these applications, Cloud providers have to deal with many different requirements for data management, depending on the characteristics and guarantees these applications are supposed to have. The objective of a Cloud provider is to support these diverse requirements with a basic set of customizable modules and protocols that can be (dynamically) combined. With the pay-as-you-go cost model of the Cloud, literally each user action and resource usage has a price tag attached to it. Thus, for the application providers, it is essential that the needs of their applications are provided in a cost-optimized manner. In this paper, we present the work in progress PolarDBMS, a flexible and dynamically adaptable system for managing data in the Cloud. PolarDBMS derives policies from application and service objectives. Based on these policies, it will automatically deploy the most efficient and cost-optimized set of modules and protocols and monitor their compliance. If necessary, the modules and/or their customization is changed dynamically at run-time. Several modules and protocols that have already been developed are presented. Additionally, we discuss the challenges that have to be met to fully implement PolarDBMS.
  • Keywords
    cloud computing; database management systems; PolarDBMS; cloud computing; cloud providers; data management; pay-as-you-go cost model; policy-based data management; resource usage; user action; Availability; Business; Concrete; Monitoring; Protocols; Scalability; Servers;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering Workshops (ICDEW), 2014 IEEE 30th International Conference on
  • Conference_Location
    Chicago, IL
  • Type

    conf

  • DOI
    10.1109/ICDEW.2014.6818323
  • Filename
    6818323