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Volumn , Issue , 2018, Pages 62-71

Uncertainty-aware elastic virtual machine scheduling for stream processing systems

Author keywords

Quality of service; Resource scheduling; Stream processing

Indexed keywords

BENCHMARKING; CLUSTER COMPUTING; GRID COMPUTING; ONLINE SYSTEMS; SCHEDULING; VIRTUAL MACHINE;

EID: 85050956627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CCGRID.2018.00021     Document Type: Conference Paper
Times cited : (20)

References (20)
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  • 3
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    • KSwSVR: A new load forecasting method for efficient resources provisioning in cloud
    • R. Hu, J. Jiang, G. Liu, and L. Wang, "KSwSVR: A new load forecasting method for efficient resources provisioning in cloud," in Proc. IEEE Conf. on Services Computing, 2013, pp. 120-127.
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    • Hu, R.1    Jiang, J.2    Liu, G.3    Wang, L.4
  • 10
    • 80053141976 scopus 로고    scopus 로고
    • Efficient autoscaling in the cloud using predictive models for workload forecasting
    • N. Roy, A. Dubey, and A. Gokhale, "Efficient autoscaling in the cloud using predictive models for workload forecasting," in Proc. IEEE Conf. on Cloud Computing, 2011, pp. 500-507.
    • (2011) Proc. IEEE Conf. on Cloud Computing , pp. 500-507
    • Roy, N.1    Dubey, A.2    Gokhale, A.3
  • 15
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    • Maximum sustainable throughput prediction for large-scale data streaming systems
    • Tech. Rep., November 2017, (Extended journal version of [8] in review
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    • Department of Computer Science, Rensselaer Polytechnic Institute
    • Imai, S.1    Patterson, S.2    Varela, C.A.3
  • 16
    • 85027470611 scopus 로고    scopus 로고
    • Intel Corporation
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  • 17
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    • Samoa: Scalable advanced massive online analysis
    • Jan
    • G. D. F. Morales and A. Bifet, "SAMOA: Scalable Advanced Massive Online Analysis," Journal of Machine Learning Research, vol. 16, pp. 149-153, Jan 2015.
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  • 18
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.