• DocumentCode
    1960056
  • Title

    Compound graphs based multi-attribute resource management in Complex networks

  • Author

    Peng, Xian ; Fu, Huang ; Luo, Xueshan

  • Author_Institution
    ISE Nat. Key Lab., Nat. Univ. of Defense Technol., Changsha, China
  • Volume
    2
  • fYear
    2012
  • fDate
    20-21 Oct. 2012
  • Firstpage
    285
  • Lastpage
    288
  • Abstract
    Due to the dynamic, various and complicate characteristics for resource in Complex networks, it makes the multi-attribute management redundancy and time-exhausting. DHT based approaches have been widely adopted in resource management domains, which map the resource attributes and values to a single or multi DHTs and carry on management in such DHT nodes. But such DHT based topological structures bring forward unnecessary overhead in resource reporting, searching and maintenance procedures. The compound graphs are observed to be suitable solution which could enhance fault-tolerance and reduce unnecessary overhead. The compound graph is to combine simple basic graphs with systematic procedures, that several copies of a basic graph are connected by means of the links of another basic graph. The compound graphs with good modularity, expandability, regularity are suitable for resource management in complex networks. The paper analyzes aforementioned compound graphs for multi-attribute management from the aspects of network topology, multi-attribute support architecture and resource query routing, etc. As a result, the compound graph topologies can provide multi-attribute support and look-up efficiency for resource management in complex networks.
  • Keywords
    cloud computing; complex networks; fault tolerance; graph theory; grid computing; query processing; resource allocation; DHT based approach; DHT based topological structures; cloud computing; complex networks; compound graphs; fault-tolerance; grid computing; maintenance procedures; multiattribute resource management; multiattribute support architecture; network topology; resource attributes; resource query routing; resource reporting; searching procedures; systematic procedures; Algorithm design and analysis; Compounds; Computer architecture; Multimedia communication; Compound graphs; Multi-attribute resource management; complex networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Management, Innovation Management and Industrial Engineering (ICIII), 2012 International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4673-1932-4
  • Type

    conf

  • DOI
    10.1109/ICIII.2012.6339834
  • Filename
    6339834