• DocumentCode
    1756851
  • Title

    A Modeling Approach for Cloud Infrastructure Planning Considering Dependability and Cost Requirements

  • Author

    Sousa, Erica ; Lins, Fernando ; Tavares, Eduardo ; Cunha, Paulo ; Maciel, Paulo

  • Author_Institution
    Center of Inf., Fed. Rural Univ. of Pernambuco, Recife, Brazil
  • Volume
    45
  • Issue
    4
  • fYear
    2015
  • fDate
    42095
  • Firstpage
    549
  • Lastpage
    558
  • Abstract
    Cloud computing is a model in which resources such as storage, applications, and networking infrastructures can be offered as services over the internet. Cloud applications are becoming even bigger and more complex with a high availability requirement. This paper presents a modeling strategy based on a hierarchical and heterogeneous modeling for cloud infrastructure planning. This modeling strategy allows the selection of cloud infrastructures according to dependability and cost requirements. Additionally, a stochastic model generator for cloud infrastructure planning provides automatic generation of dependability and cost models for representing cloud infrastructures. A case study based on Moodle hosted on a Eucalyptus platform is adopted to demonstrate the feasibility of the proposed solution (modeling strategy and tooling).
  • Keywords
    cloud computing; public domain software; software cost estimation; software reliability; stochastic processes; Eucalyptus platform; Moodle; cloud computing; cloud infrastructure planning; cost requirement; dependability requirement; modelling strategy; stochastic model generator; Availability; Cloud computing; Computational modeling; Mathematical model; Planning; Redundancy; Cloud computing; cost evaluation; dependability evaluation; hierarchical and heterogeneous modeling; reliability block diagram (RBD); stochastic Petri net (SPN);
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics: Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    2168-2216
  • Type

    jour

  • DOI
    10.1109/TSMC.2014.2358642
  • Filename
    6913553