• DocumentCode
    160476
  • Title

    Measuring the QoS of Personal Cloud Storage

  • Author

    Pengyan Shen ; Kai Guo ; Mingzhong Xiao

  • Author_Institution
    Coll. of Inf. of Sci., Beijing Normal Univ., Beijing, China
  • fYear
    2014
  • fDate
    11-13 July 2014
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Nowadays, the Personal Cloud Storage (PCS) service has been widely utilized by millions of users, not only because of its reliable ubiquitous storage but also numbers of exciting third-part applications that work as overlay networks based on user´s data. However, we usually know few information about the PCS´s performance which is quite important for both normal users and programmers. In this paper, we present a measurement study of four popular PCS services: Baidu, Kingsoft, Box and DropBox. By using the REST APIs offered by the storage providers, we collected the information from more than 41,000 storage operations with transferring over 200GB files, characterized the file transfer speed distributions, and analyzed important aspects that impact the file transfer speed. Indeed, we found some important characteristics in China that are different from the situations in the USA and Europe, which is significant. We believe our work can contribute to helping the researchers and developers to understand the behavior of these popular storage services.
  • Keywords
    application program interfaces; cloud computing; quality of service; storage management; ubiquitous computing; Baidu; DropBox; Kingsoft; PCS service; QoS measurement; REST APIs; file transfer speed distributions; overlay networks; personal cloud storage service; ubiquitous storage; Cloud computing; Educational institutions; Europe; Fitting; Quality of service; Uniform resource locators; Measurement; Personal Cloud Storage (PCS); Quality of Service (QoS); REST API;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computing, Communication and Networking Technologies (ICCCNT), 2014 International Conference on
  • Conference_Location
    Hefei
  • Print_ISBN
    978-1-4799-2695-4
  • Type

    conf

  • DOI
    10.1109/ICCCNT.2014.6963099
  • Filename
    6963099