• DocumentCode
    594015
  • Title

    Performance analysis framework to optimize storage infrastructure for Cloud Computing

  • Author

    Ali, Mohd Fadzli ; Barnawi, A.M. ; Bashar, A.

  • Author_Institution
    Fac. of Comput. & Inf. Technol., King Abdulaziz Univ., Jeddah, Saudi Arabia
  • fYear
    2012
  • fDate
    18-20 Sept. 2012
  • Firstpage
    285
  • Lastpage
    290
  • Abstract
    This paper presents a novel evaluation study of the Cloud Computing technology, with a focused emphasis on the Cloud Storage mechanisms and the way they are affecting the progress of the present Cloud Services. Considering the exponential growth of the user data and its impact on the Cloud Storage infrastructure, this work provides two major contributions through comprehensive performance evaluations. Firstly, it proposes a unique 10-point performance evaluation framework for existing Cloud Storage infrastructure and applies it for evaluating six major Cloud Storage Service Providers currently in the market. Secondly, it presents a detailed insightful assessment of eighteen most popular Cloud Storage Hardware vendors with respect to the storage technologies being implemented by them. In conclusion, it takes stock of the current trends on optimizing storage infrastructure for Cloud Computing and predicting future research possibilities in this rapidly growing technology.
  • Keywords
    cloud computing; software performance evaluation; storage management; cloud computing technology; cloud services; cloud storage infrastructure; cloud storage mechanisms; performance analysis framework; performance evaluations; storage infrastructure optimization; user data exponential growth; Cloud computing; Hardware; Market research; Production; Scalability; Servers; Cloud Computing; Storage Infrastructure; Storage Service Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing Technology (INTECH), 2012 Second International Conference on
  • Conference_Location
    Casablanca
  • Print_ISBN
    978-1-4673-2678-0
  • Type

    conf

  • DOI
    10.1109/INTECH.2012.6457766
  • Filename
    6457766