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Volumn , Issue , 2010, Pages 377-382

A novel parallel hybrid PSO-GA using MapReduce to schedule jobs in Hadoop data grids

Author keywords

Cluster performance; Hadoop; HPSO GA; MapReduce; Scheduler

Indexed keywords

CLUSTER PERFORMANCE; HADOOP; HPSO-GA; MAP-REDUCE; SCHEDULER;

EID: 79952755995     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/NABIC.2010.5716346     Document Type: Conference Paper
Times cited : (25)

References (10)
  • 1
    • 48349145329 scopus 로고    scopus 로고
    • A hybrid particle swarm optimization approach for scheduling flow-shops with multiprocessor tasks
    • IEEE Computer Society
    • M. Fikret Ercan, "A hybrid particle swarm optimization approach for scheduling flow-shops with multiprocessor tasks", International Conference on Information Science and Security, IEEE Computer Society, 2008, pp. 13-16.
    • (2008) International Conference on Information Science and Security , pp. 13-16
    • Ercan, M.F.1
  • 5
    • 78649991860 scopus 로고    scopus 로고
    • Hybrid PSO and GA for global maximization
    • December
    • K. Premalatha and AM. Natarajan, "Hybrid PSO and GA for Global Maximization", Int. J. Open Problems Compt. Math., Vol. 2, No. 4, ,December 2009, pp. 597-608.
    • (2009) Int. J. Open Problems Compt. Math. , vol.2 , Issue.4 , pp. 597-608
    • Premalatha, K.1    Natarajan, A.M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.