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Volumn 9, Issue 17, 2016, Pages 4002-4012

A speculative approach to spatial-temporal efficiency with multi-objective optimization in a heterogeneous cloud environment

Author keywords

cloud storage; load balancing; MapReduce; multi objective optimization; prediction model

Indexed keywords

BIG DATA; COPYRIGHTS; DATA HANDLING; DIGITAL STORAGE; EFFICIENCY; EMPLOYMENT; FORECASTING; LEARNING SYSTEMS; RESOURCE ALLOCATION;

EID: 84981328411     PISSN: 19390114     EISSN: 19390122     Source Type: Journal    
DOI: 10.1002/sec.1582     Document Type: Article
Times cited : (205)

References (30)
  • 2
    • 84922280033 scopus 로고    scopus 로고
    • Achieving efficient cloud search services: multi-keyword ranked search over encrypted cloud data supporting parallel computing
    • Fu Z, Sun X, Liu Q, Zhou L, Shu J. Achieving efficient cloud search services: multi-keyword ranked search over encrypted cloud data supporting parallel computing. IEICE Transactions on Communications. 2015; E98B(4): 190–200.
    • (2015) IEICE Transactions on Communications , vol.E98B , Issue.4 , pp. 190-200
    • Fu, Z.1    Sun, X.2    Liu, Q.3    Zhou, L.4    Shu, J.5
  • 3
    • 70449652584 scopus 로고    scopus 로고
    • MapReduce optimization using regulated dynamic prioritization
    • Sandholm T, Lai K. MapReduce optimization using regulated dynamic prioritization. ACM Sigmetrics Performance Evaluation Review. 2015; 37(1): 299–310.
    • (2015) ACM Sigmetrics Performance Evaluation Review , vol.37 , Issue.1 , pp. 299-310
    • Sandholm, T.1    Lai, K.2
  • 4
    • 84875741384 scopus 로고    scopus 로고
    • Algebraic optimization for processing graph pattern queries in the cloud
    • Anyanwu K, Kim HS, Ravindra P. Algebraic optimization for processing graph pattern queries in the cloud. IEEE Internet Computing. 2013; 17(2): 52–61.
    • (2013) IEEE Internet Computing , vol.17 , Issue.2 , pp. 52-61
    • Anyanwu, K.1    Kim, H.S.2    Ravindra, P.3
  • 5
    • 84878014005 scopus 로고    scopus 로고
    • Data-intensive cloud computing: requirements, expectations, challenges, and solutions
    • Shamsi J, Khojaye MA, Qasmi MA. Data-intensive cloud computing: requirements, expectations, challenges, and solutions. Journal of Grid Computing. 2013; 11(2): 281–310.
    • (2013) Journal of Grid Computing , vol.11 , Issue.2 , pp. 281-310
    • Shamsi, J.1    Khojaye, M.A.2    Qasmi, M.A.3
  • 10
    • 84966647545 scopus 로고    scopus 로고
    • Load balancing strategy on periodical mapreduce job
    • (In Chinese)
    • Fu J, Du Z. Load balancing strategy on periodical mapreduce job. Computer Science. 2013; 40(30): 38–40. (In Chinese).
    • (2013) Computer Science , vol.40 , Issue.30 , pp. 38-40
    • Fu, J.1    Du, Z.2
  • 11
    • 80052587953 scopus 로고    scopus 로고
    • In, International Conference on Cloud Computing and Services Science, Noordwijkerhout, The Netherlands
    • Gufler B, Augsten N, Reiser A, Kemper A. Handling data skew in mapreduce. In International Conference on Cloud Computing and Services Science: Noordwijkerhout, The Netherlands, 2011; 574–583.
    • (2011) Handling data skew in mapreduce , pp. 574-583
    • Gufler, B.1    Augsten, N.2    Reiser, A.3    Kemper, A.4
  • 12
    • 84907605973 scopus 로고    scopus 로고
    • Improving mapreduce performance by balancing skewed loads
    • Yuanquan F, Weiguo W, Yunlong X, Heng C. Improving mapreduce performance by balancing skewed loads. China Communications. 2014; 11(8): 85–108.
    • (2014) China Communications , vol.11 , Issue.8 , pp. 85-108
    • Yuanquan, F.1    Weiguo, W.2    Yunlong, X.3    Heng, C.4
  • 14
    • 80052804663 scopus 로고    scopus 로고
    • IEmpirical prediction models for adaptive resource provisioning in the cloud
    • Islam S, Keung J, Lee K, Liu A. IEmpirical prediction models for adaptive resource provisioning in the cloud. Future Generation Computer Systems. 2012; 28(1): 155–162.
    • (2012) Future Generation Computer Systems , vol.28 , Issue.1 , pp. 155-162
    • Islam, S.1    Keung, J.2    Lee, K.3    Liu, A.4
  • 17
    • 84877736288 scopus 로고    scopus 로고
    • Dynamic resource allocation using virtual machines for cloud computing environment
    • Xiao Z, Song W, Chen Q. Dynamic resource allocation using virtual machines for cloud computing environment. IEEE Transactions on Parallel and Distributed Systems. 2013; 24(6): 1107–1117.
    • (2013) IEEE Transactions on Parallel and Distributed Systems , vol.24 , Issue.6 , pp. 1107-1117
    • Xiao, Z.1    Song, W.2    Chen, Q.3
  • 18
    • 84897130212 scopus 로고    scopus 로고
    • Improving MapReduce performance using smart speculative execution strategy
    • Chen Q, Liu C, Xiao Z. Improving MapReduce performance using smart speculative execution strategy. IEEE Transactions on Computers. 2014; 63(4): 954–967.
    • (2014) IEEE Transactions on Computers , vol.63 , Issue.4 , pp. 954-967
    • Chen, Q.1    Liu, C.2    Xiao, Z.3
  • 19
    • 84856511777 scopus 로고    scopus 로고
    • Robustness against the decision-maker's attitude to risk in problems with conflicting objectives
    • Bui LT, Abbass H, Barlow M, Bender A. Robustness against the decision-maker's attitude to risk in problems with conflicting objectives. IEEE Transactions on Evolutionary Computation. 2012; 16(1): 1–19.
    • (2012) IEEE Transactions on Evolutionary Computation , vol.16 , Issue.1 , pp. 1-19
    • Bui, L.T.1    Abbass, H.2    Barlow, M.3    Bender, A.4
  • 20
    • 84878770725 scopus 로고    scopus 로고
    • DRAW: a new data-grouping-aware data placement scheme for data intensive applications with interest locality
    • Wang J, Shang P, Yin J. DRAW: a new data-grouping-aware data placement scheme for data intensive applications with interest locality. IEEE Transactions on Magnetics. 2013; 49(6): 2514–2520.
    • (2013) IEEE Transactions on Magnetics , vol.49 , Issue.6 , pp. 2514-2520
    • Wang, J.1    Shang, P.2    Yin, J.3
  • 24
    • 84908682236 scopus 로고    scopus 로고
    • Trends in extreme learning machines: a review
    • Huang G, Huang GB, Son S, You K. Trends in extreme learning machines: a review. Neural Networks. 2015; 61: 32–48.
    • (2015) Neural Networks , vol.61 , pp. 32-48
    • Huang, G.1    Huang, G.B.2    Son, S.3    You, K.4
  • 27
    • 84901200630 scopus 로고    scopus 로고
    • A meta-cognitive learning algorithm for an extreme learning machine classifier
    • Savitha R, Suresh S, Kim HJ. A meta-cognitive learning algorithm for an extreme learning machine classifier. Cognitive Computation. 2014; 6(2): 253–263.
    • (2014) Cognitive Computation , vol.6 , Issue.2 , pp. 253-263
    • Savitha, R.1    Suresh, S.2    Kim, H.J.3
  • 29
    • 79957545779 scopus 로고    scopus 로고
    • In, IEEE Workshops of International Conference on Advanced Information Networking and Applications (WAINA), Biopolis, Singapore
    • Rui ME, Rui P, Rong C. K-means clustering in the cloud C: a mahout test. In IEEE Workshops of International Conference on Advanced Information Networking and Applications (WAINA): Biopolis, Singapore, 2011; 514–519.
    • (2011) K-means clustering in the cloud C: a mahout test , pp. 514-519
    • Rui, M.E.1    Rui, P.2    Rong, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.