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Volumn , Issue , 2009, Pages 40-50

Myconet: A fungi-inspired model for superpeer-based peer-to-peer overlay topologies

Author keywords

[No Author keywords available]

Indexed keywords

CAPACITY UTILIZATION; CATASTROPHIC FAILURES; FUNGAL HYPHAE; HIGH VARIABILITY; OVERLAY CONSTRUCTION; PEER-TO-PEER OVERLAYS; PEER-TO-PEER PROTOCOLS; PEER-TO-PEER SYSTEM; SUPER-PEER; SUPERPEERS; UNSTRUCTURED PEER-TO-PEER NETWORK;

EID: 73649135052     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SASO.2009.43     Document Type: Conference Paper
Times cited : (41)

References (27)
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    • CC-licensed photo from Flickr
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    • A robust protocol for building superpeer overlay topologies
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    • Montresor, A.1
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  • 9
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    • Simulating colonial growth of fungi with the Neighbour-Sensing model of hyphal growth
    • A. Měskauskas, M. Fricker, and D. Moore, "Simulating colonial growth of fungi with the Neighbour-Sensing model of hyphal growth," Mycological Research, vol. 108, no. 11, pp. 1241-1256, 2004.
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  • 10
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    • Stability analysis of a hybrid cellular automaton model of cell colony growth
    • P. Gerlee and A. Anderson, "Stability analysis of a hybrid cellular automaton model of cell colony growth," Physical Review E, vol. 75, no. 5, p. 51911, 2007.
    • (2007) Physical Review E , vol.75 , Issue.5 , pp. 51911
    • Gerlee, P.1    Anderson, A.2
  • 13
    • 39049156961 scopus 로고    scopus 로고
    • Performance of full text search in structured and unstructured peer-to-peer systems
    • IEEE Press
    • Y. Yang, R. Dunlap, M. Rexroad, and B. Cooper, "Performance of full text search in structured and unstructured peer-to-peer systems," in IEEE INFOCOM. IEEE Press, 2006, pp. 2658-2669.
    • (2006) IEEE INFOCOM , pp. 2658-2669
    • Yang, Y.1    Dunlap, R.2    Rexroad, M.3    Cooper, B.4
  • 18
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    • Tech. Rep. KOM-TR-08-2002, Multimedia Communications Lab, Darmstadt University of Technology, Dec, Tech. Rep
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  • 23
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    • Modeling heterogeneous user churn and local resilience of unstructured p2p networks
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.