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Volumn , Issue , 2011, Pages 236-237

An approach for providing dependable self-adaptation in distributed embedded systems

Author keywords

distributed systems; embedded systems; self adaptation

Indexed keywords

DISTRIBUTED EMBEDDED SYSTEM; DISTRIBUTED SYSTEMS; HIGH DEMAND; NON-FUNCTIONAL REQUIREMENTS; RUNTIMES; SELF ADAPTATION; SELF-ADAPTATION MECHANISMS; SYSTEM BEHAVIORS;

EID: 79959308001     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1982185.1982239     Document Type: Conference Paper
Times cited : (10)

References (5)
  • 1
    • 33847356880 scopus 로고    scopus 로고
    • Achieving self-management via utility functions
    • DOI 10.1109/MIC.2007.2
    • J. Kephart and R. Das. Achieving self-management via utility functions. IEEE Internet Computing, 11:40-48, 2007. (Pubitemid 46332142)
    • (2007) IEEE Internet Computing , vol.11 , Issue.1 , pp. 40-48
    • Kephart, J.O.1    Das, R.2
  • 2
    • 11244341288 scopus 로고    scopus 로고
    • An artificial intelligence perspective on autonomic computing policies
    • J. Kephart and W. Walsh. An artificial intelligence perspective on autonomic computing policies. In Proc. of the POLICY'04, pages 3-12, 2004.
    • (2004) Proc. of the POLICY'04 , pp. 3-12
    • Kephart, J.1    Walsh, W.2
  • 4
    • 1842457739 scopus 로고    scopus 로고
    • Mode change protocols for real-time systems: A survey and a new proposal
    • J. Real and A. Crespo. Mode change protocols for real-time systems: A survey and a new proposal. Real-Time Systems, 26(2):161-197, 2004.
    • (2004) Real-Time Systems , vol.26 , Issue.2 , pp. 161-197
    • Real, J.1    Crespo, A.2
  • 5
    • 70350662023 scopus 로고    scopus 로고
    • Towards self-organization in automotive embedded systems
    • G. Weiss, M. Zeller, D. Eilers, and R. Knorr. Towards self-organization in automotive embedded systems. In Proc. of the ATC'09, pages 32-46, 2009.
    • (2009) Proc. of the ATC'09 , pp. 32-46
    • Weiss, G.1    Zeller, M.2    Eilers, D.3    Knorr, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.