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
Link To Document :
بازگشت