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Volumn 3141, Issue , 2004, Pages 306-316

An adaptive mechanism for epidemic communication

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS;

EID: 35048874799     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27835-1_23     Document Type: Article
Times cited : (5)

References (15)
  • 4
    • 2342629139 scopus 로고    scopus 로고
    • The power of epidemics: Robust communication for large-scale distributed systems
    • Vogels, W., van Renesse, R., Birman, K.: The power of epidemics: robust communication for large-scale distributed systems. ACM SIGCOMM Computer Communication Review 33 (2003) 131-135
    • (2003) ACM SIGCOMM Computer Communication Review , vol.33 , pp. 131-135
    • Vogels, W.1    Van Renesse, R.2    Birman, K.3
  • 9
    • 0012727627 scopus 로고    scopus 로고
    • Gossip-style failure detection and distributed consensus for scalable heterogeneous clusters
    • Ranganathan, S., George, A.D., Todd, R.W., Chidester, M.C.: Gossip-style failure detection and distributed consensus for scalable heterogeneous clusters. Cluster Computing 4 (2001) 197-209
    • (2001) Cluster Computing , vol.4 , pp. 197-209
    • Ranganathan, S.1    George, A.D.2    Todd, R.W.3    Chidester, M.C.4
  • 14
    • 84958774651 scopus 로고    scopus 로고
    • Gossip versus deterministic flooding: Low message overhead and high reliability for broadcasting on small networks
    • Toledo, Spain Volume 1914 of Lecture Notes in Computer Science
    • Lin, M.J., Marzullo, K., Masini, S.: Gossip versus deterministic flooding: Low message overhead and high reliability for broadcasting on small networks. In: Proceedings of 14th International Conference on Distributed Computing, (DISC 2000). Volume 1914 of Lecture Notes in Computer Science., Toledo, Spain (2000) 253-267
    • (2000) Proceedings of 14th International Conference on Distributed Computing, (DISC 2000) , vol.1914 , pp. 253-267
    • Lin, M.J.1    Marzullo, K.2    Masini, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.