• DocumentCode
    604083
  • Title

    Scalable Resource Aggregation Service of an ErlangOTP PaaS Platform

  • Author

    Hanglong Zhan ; Lianghuan Kang ; Lantao Liu ; Donggang Cao

  • Author_Institution
    Key Lab. of High Confidence Software Technol., Peking Univ., Beijing, China
  • fYear
    2013
  • fDate
    25-28 March 2013
  • Firstpage
    353
  • Lastpage
    358
  • Abstract
    The availability of powerful processors and cheap storage devices as commodity components has improved large-scale distributed computing in PaaS cloud platforms. In a multi-user PaaS platform, resources, including computing units and data storage, should be shared between numbers of users. There is a great challenge in allocating and aggregating these resources for different users. In this paper, we present a design of scalable resource aggregation service in a multi-user PaaS platform. The design contains three parts: 1) a set of distributed, autonomous virtual computing nodes provided for every user, which are isolated from each other, 2) a task man-ager acting as user proxy in the system, responsible for controlling tasks and monitor runtime information, 3) a consistent resource view, which can be operated by the above distributed nodes with the same owner. We are implementing such a service in our prototype of networked concurrent computing environment named UniAS. In order to operate the system easily, we also implement a client shell for remote user. The future work is discussed at the end.
  • Keywords
    cloud computing; resource allocation; ErlangOTP PaaS platform; PaaS cloud platform; UniAS; autonomous virtual computing node; commodity component; consistent resource view; data storage; distributed computing node; large-scale distributed computing; multiuser PaaS platform; networked concurrent computing environment; processors; runtime information monitoring; scalable resource aggregation service; storage device; task control; task manager; user proxy; Containers; Monitoring; Operating systems; Program processors; Runtime; Scalability; Virtual machining; distributed computing; multi-user; resources aggregation; scalability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Service Oriented System Engineering (SOSE), 2013 IEEE 7th International Symposium on
  • Conference_Location
    Redwood City
  • Print_ISBN
    978-1-4673-5659-6
  • Type

    conf

  • DOI
    10.1109/SOSE.2013.76
  • Filename
    6525545