메뉴 건너뛰기




Volumn 21, Issue 3, 2014, Pages 319-344

Exploiting ensemble techniques for automatic virtual machine clustering in cloud systems

Author keywords

Bhattacharyya distance; Cloud computing; Clustering; Clustering ensemble

Indexed keywords

CLOUD COMPUTING; PROBABILITY DISTRIBUTIONS; VIRTUAL REALITY;

EID: 84902282395     PISSN: 09288910     EISSN: 15737535     Source Type: Journal    
DOI: 10.1007/s10515-013-0134-y     Document Type: Article
Times cited : (18)

References (37)
  • 1
    • 67650932694 scopus 로고    scopus 로고
    • A comparison of extrinsic clustering evaluation metrics based on formal constraints
    • 10.1007/s10791-008-9066-8
    • Amigó, E.; Gonzalo, J.; Artiles, J.; Verdejo, F.: A comparison of extrinsic clustering evaluation metrics based on formal constraints. J. Inf. Retr. 12(4), 461-486 (2009)
    • (2009) J. Inf. Retr. , vol.12 , Issue.4 , pp. 461-486
    • Amigó, E.1    Gonzalo, J.2    Artiles, J.3    Verdejo, F.4
  • 3
    • 84863244149 scopus 로고    scopus 로고
    • Energy-aware autonomic resource allocation in multitier virtualized environments
    • 10.1109/TSC.2010.42
    • Ardagna, D.; Panicucci, B.; Trubian, M.; Zhang, L.: Energy-aware autonomic resource allocation in multitier virtualized environments. IEEE Trans. Serv. Comput. 5(1), 2-19 (2012)
    • (2012) IEEE Trans. Serv. Comput. , vol.5 , Issue.1 , pp. 2-19
    • Ardagna, D.1    Panicucci, B.2    Trubian, M.3    Zhang, L.4
  • 4
    • 84992329054 scopus 로고    scopus 로고
    • Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers
    • Bangalore, India
    • Beloglazov, A.; Buyya, R.: Adaptive threshold-based approach for energy-efficient consolidation of virtual machines in cloud data centers. In: Proc. of (MGC'10), Bangalore, India (2010)
    • (2010) Proc. of (MGC'10)
    • Beloglazov, A.1    Buyya, R.2
  • 5
    • 0002215069 scopus 로고
    • On a measure of divergence between two statistical populations defined by their probability distributions
    • 0063.00364 10358
    • Bhattacharyya, A.: On a measure of divergence between two statistical populations defined by their probability distributions. Bull. Calcutta Math. Soc. 35, 99-109 (1943)
    • (1943) Bull. Calcutta Math. Soc. , vol.35 , pp. 99-109
    • Bhattacharyya, A.1
  • 6
    • 84876389962 scopus 로고    scopus 로고
    • Automated clustering of virtual machines based on correlation of resource usage
    • Canali, C.; Lancellotti, R.: Automated clustering of virtual machines based on correlation of resource usage. Commun. Softw. Syst. 8(4), 102-109 (2012a)
    • (2012) Commun. Softw. Syst. , vol.8 , Issue.4 , pp. 102-109
    • Canali, C.1    Lancellotti, R.2
  • 9
    • 70350244177 scopus 로고    scopus 로고
    • Practical byzantine fault tolerance
    • Castro, M.; Liskov, B.: Practical byzantine fault tolerance. In: OSDI, pp. 173-186 (1999)
    • (1999) OSDI , pp. 173-186
    • Castro, M.1    Liskov, B.2
  • 10
    • 0038667918 scopus 로고    scopus 로고
    • Feature extraction based on the Bhattacharyya distance
    • 10.1016/S0031-3203(03)00035-9
    • Choi, E.; Lee, C.: Feature extraction based on the Bhattacharyya distance. Pattern Recognit. 36(8), 1703-1709 (2003)
    • (2003) Pattern Recognit. , vol.36 , Issue.8 , pp. 1703-1709
    • Choi, E.1    Lee, C.2
  • 11
    • 51049112278 scopus 로고    scopus 로고
    • A new mechanism for resource monitoring in grid computing
    • 10.1016/j.future.2008.04.008
    • Chung, W.C.; Chang, R.S.: A new mechanism for resource monitoring in grid computing. Future Gener. Comput. Syst. 25(1), 1-7 (2009)
    • (2009) Future Gener. Comput. Syst. , vol.25 , Issue.1 , pp. 1-7
    • Chung, W.C.1    Chang, R.S.2
  • 13
    • 84908405350 scopus 로고    scopus 로고
    • Why cloud computing will never be free
    • Durkee, D.: Why cloud computing will never be free. ACM Queue 8(4), 20:20-20:29 (2010)
    • (2010) ACM Queue , vol.8 , Issue.4 , pp. 2020-2029
    • Durkee, D.1
  • 14
    • 34548025132 scopus 로고    scopus 로고
    • A survey of kernel and spectral methods for clustering
    • 10.1016/j.patcog.2007.05.018 1122.68530
    • Filippone, M.; Camastra, F.; Masulli, F.; Rovetta, S.: A survey of kernel and spectral methods for clustering. Pattern Recognit. 41(1), 176-190 (2008)
    • (2008) Pattern Recognit. , vol.41 , Issue.1 , pp. 176-190
    • Filippone, M.1    Camastra, F.2    Masulli, F.3    Rovetta, S.4
  • 15
    • 0001115422 scopus 로고
    • On the histogram as a density estimator:L2 theory
    • 0449.62033 631370
    • Freedman, D.; Diaconis, P.: On the histogram as a density estimator:L2 theory. Probab. Theory Relat. Fields 57(4), 453-476 (1981)
    • (1981) Probab. Theory Relat. Fields , vol.57 , Issue.4 , pp. 453-476
    • Freedman, D.1    Diaconis, P.2
  • 16
    • 70449526213 scopus 로고    scopus 로고
    • Resource pool management: Reactive versus proactive or let's be friends
    • 10.1016/j.comnet.2009.08.011
    • Gmach, D.; Rolia, J.; Cherkasova, L.; Kemper, A.: Resource pool management: reactive versus proactive or let's be friends. Comput. Netw. 53(17), 2905-2922 (2009)
    • (2009) Comput. Netw. , vol.53 , Issue.17 , pp. 2905-2922
    • Gmach, D.1    Rolia, J.2    Cherkasova, L.3    Kemper, A.4
  • 19
    • 77950369345 scopus 로고    scopus 로고
    • Data clustering: 50 years beyond k-means
    • 10.1016/j.patrec.2009.09.011
    • Jain, A.K.: Data clustering: 50 years beyond k-means. Pattern Recognit. Lett. 31(8), 651-666 (2010)
    • (2010) Pattern Recognit. Lett. , vol.31 , Issue.8 , pp. 651-666
    • Jain, A.K.1
  • 21
    • 60549096461 scopus 로고    scopus 로고
    • Power and performance management of virtualized computing environment via lookahead
    • Kusic, D.; Kephart, J.O.; Hanson, J.E.; Kandasamy, N.; Jiang, G.: Power and performance management of virtualized computing environment via lookahead. Clust. Comput. 12(1), 1-15 (2009)
    • (2009) Clust. Comput. , vol.12 , Issue.1 , pp. 1-15
    • Kusic, D.1    Kephart, J.O.2    Hanson, J.E.3    Kandasamy, N.4    Jiang, G.5
  • 22
    • 34548583274 scopus 로고    scopus 로고
    • A tutorial on spectral clustering
    • 10.1007/s11222-007-9033-z 10.1007/s11222-007-9033-z 2409803
    • Luxburg, U.: A tutorial on spectral clustering. Stat. Comput. 17(4), 395-416 (2007). doi: 10.1007/s11222-007-9033-z
    • (2007) Stat. Comput. , vol.17 , Issue.4 , pp. 395-416
    • Luxburg, U.1
  • 25
    • 84870604821 scopus 로고    scopus 로고
    • Controlling scale sensor networks data quality in the ganglia grid monitoring tool
    • Naeem, A.N.; Ramadass, S.; Yong, C.: Controlling scale sensor networks data quality in the ganglia grid monitoring tool. Commun. Comput. 7(11), 18-26 (2010)
    • (2010) Commun. Comput. , vol.7 , Issue.11 , pp. 18-26
    • Naeem, A.N.1    Ramadass, S.2    Yong, C.3
  • 27
    • 33749060871 scopus 로고    scopus 로고
    • Automatic determination of the number of clusters using spectral algorithms
    • 10.1109/MLSP.2005.1532874 10.1109/MLSP.2005.1532874
    • Sanguinetti, G.; Laidler, J.; Lawrence, N.: Automatic determination of the number of clusters using spectral algorithms. In: IEEE Workshop on Machine Learning for Signal Processing, pp. 55-60 (2005). doi: 10.1109/MLSP.2005.1532874
    • (2005) IEEE Workshop on Machine Learning for Signal Processing , pp. 55-60
    • Sanguinetti, G.1    Laidler, J.2    Lawrence, N.3
  • 28
    • 0018734781 scopus 로고
    • On optimal and data-based histograms
    • 10.1093/biomet/66.3.605 0417.62031 556742
    • Scott, D.W.: On optimal and data-based histograms. Biometrika 66(3), 605-610 (1979)
    • (1979) Biometrika , vol.66 , Issue.3 , pp. 605-610
    • Scott, D.W.1
  • 32
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining multiple partitions
    • 1084.68759 1991087
    • Strehl, A.; Ghosh, J.: Cluster ensembles - a knowledge reuse framework for combining multiple partitions. J. Mach. Learn. Res. 3, 583-617 (2003)
    • (2003) J. Mach. Learn. Res. , vol.3 , pp. 583-617
    • Strehl, A.1    Ghosh, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.