• DocumentCode
    691379
  • Title

    Self-organizing strategies for resource management in Cloud Computing: State-of-the-art and challenges

  • Author

    Takako Endo, Patricia ; Batista, Marcelo Santos ; Goncalves, Glauco Estacio ; Rodrigues, M. ; Sadok, Djamel ; Kelner, Judith ; Sefidcon, Azimeh ; Wuhib, Fetahi

  • Author_Institution
    Networking & Telecommun. Res. Group (GPRT), Fed. Univ. of Pernambuco (UFPE), Recife, Brazil
  • fYear
    2013
  • fDate
    9-10 Dec. 2013
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    Due to the growth of Cloud Computing, the supporting infrastructure has become more complex, and the centralized solutions suffer resource management difficulties due to the large scale and the dynamicity of the scenario. Consequently, distributed solutions have been proposed in the literature and the self-organizing ones have attracted particular interest due to their robustness and adaptability characteristics. Techniques, such as bio-inspired computing, multi-agent systems, and evolutionary techniques are used to manage resources. The main goal of this paper is to present a start study about how self-organizing solutions are applied in resource management of Cloud providers, as well as to highlight the main research challenges in this area.
  • Keywords
    cloud computing; resource allocation; self-organising feature maps; bio-inspired computing; cloud computing; cloud providers; distributed solutions; evolutionary techniques; multiagent systems; resource management; self-organizing solutions; self-organizing strategies; Biochemistry; Biomedical monitoring; Monitoring; Protocols; Resource management; Servers; Virtual machining; cloud computing; open research issues; resource management; self-organizing strategies;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Cloud Computing and Communications (LatinCloud), 2nd IEEE Latin American Conference on
  • Conference_Location
    Maceio
  • Type

    conf

  • DOI
    10.1109/LatinCloud.2013.6842215
  • Filename
    6842215