메뉴 건너뛰기




Volumn , Issue , 2012, Pages 17-24

A Dispatching-rule-based task scheduling policy for mapreduce with multi-type jobs in heterogeneous environments

Author keywords

Cloud computing; Distributed and parallel computing; Job shop scheduling problem; Mapreduce

Indexed keywords

COMPLETION TIME; COMPUTING NODES; DISTRIBUTED AND PARALLEL COMPUTING; EASE-OF-USE; ENTERPRISE DATA; ENTERPRISE IT; HETEROGENEOUS COMPUTING; HETEROGENEOUS ENVIRONMENTS; JOB SHOP SCHEDULING PROBLEMS; JOB-SHOP SCHEDULING; MAP-REDUCE; NUMERICAL RESULTS; ONLINE SCHEDULING; OPERATIONAL DATA; OPTIMIZATION PROBLEMS; PERFORMANCE GAIN; PROCESSING TIME; PROGRAMMING MODELS; SCHEDULING PROBLEM; TASK-SCHEDULING; TASK-SCHEDULING ALGORITHMS;

EID: 84870831749     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ChinaGrid.2012.27     Document Type: Conference Paper
Times cited : (9)

References (16)
  • 1
    • 84870785039 scopus 로고    scopus 로고
    • Gartner identifies the top 10 strategic technologies for 2011
    • Oct.
    • C. Pettey, Gartner Identifies the Top 10 Strategic Technologies for 2011, Gartner Symposium/ITxpo in Orlando, Oct. 2010.
    • (2010) Gartner Symposium/ITxpo in Orlando
    • Pettey, C.1
  • 3
    • 84870805683 scopus 로고    scopus 로고
    • The utility business model and the future of computing services
    • Nov.
    • M. A. Rappa, The utility business model and the future of computing services, IBM Systems Journal, 53:1275-1280, Nov. 2004.
    • (2004) IBM Systems Journal , vol.53 , pp. 1275-1280
    • Rappa, M.A.1
  • 6
    • 37549003336 scopus 로고    scopus 로고
    • Ghemawat, mapreduce: Simplified data processing on large clusters
    • Jan.
    • J. Dean, S. Ghemawat, MapReduce: simplified data processing on large clusters, Communications of the ACM, 51(1):107-113, Jan. 2008.
    • (2008) Communications of the ACM , vol.51 , Issue.1 , pp. 107-113
    • Dean, S.J.1
  • 7
    • 84870452716 scopus 로고    scopus 로고
    • Apache Hadoop, http://hadoop.apache.org/.
    • Apache Hadoop
  • 14
    • 13444278719 scopus 로고    scopus 로고
    • Makespan minimization for scheduling unrelated parallel machines: A recovering beam search approach
    • M. Ghirardi and C. N. Potts, Makespan minimization for scheduling unrelated parallel machines: A recovering beam search approach, European Journal of Operational Research, 165(2):457-467, 2005.
    • (2005) European Journal of Operational Research , vol.165 , Issue.2 , pp. 457-467
    • Ghirardi, M.1    Potts, C.N.2
  • 15
    • 77953870243 scopus 로고    scopus 로고
    • Iterated greedy local search methods for unrelated parallel machine scheduling
    • L. F. Peyro and R. Ruiz, Iterated greedy local search methods for unrelated parallel machine scheduling, European Journal of Operational Research, vol. 207(1): 55-69, 2010.
    • (2010) European Journal of Operational Research , vol.207 , Issue.1 , pp. 55-69
    • Peyro, L.F.1    Ruiz, R.2
  • 16
    • 77953870443 scopus 로고    scopus 로고
    • Scheduling unrelated parallel machines
    • PhD thesis, Fakultat fur Elektrotechnik, Informatik und Mathematik der Universitat Paderborn, Deutschland
    • A. Woclaw, Scheduling unrelated parallel machines. Algorithms, Complexity, and Performance. PhD thesis, Fakultat fur Elektrotechnik, Informatik und Mathematik der Universitat Paderborn, Deutschland, 2006.
    • (2006) Algorithms, Complexity, and Performance
    • Woclaw, A.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.