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Volumn , Issue , 2010, Pages 9-16

PRESS: PRedictive Elastic reSource Scaling for cloud systems

Author keywords

[No Author keywords available]

Indexed keywords

CLOUD SYSTEMS; DYNAMIC APPLICATIONS; DYNAMIC PATTERNS; ESTIMATION ERRORS; LIGHT WEIGHT; ONLINE PREDICTION; OVER-ESTIMATION; RESOURCE DEMANDS; RESOURCE PREDICTION; RESOURCE PROVISIONING; RESOURCE REQUIREMENTS; RESOURCE WASTES; SERVICE LEVEL OBJECTIVE; STATISTICAL LEARNING;

EID: 79951632052     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CNSM.2010.5691343     Document Type: Conference Paper
Times cited : (500)

References (32)
  • 2
    • 84870736178 scopus 로고    scopus 로고
    • "Google Cluster Data," http://googleresearch.blogspot.com/2010/ 01/google-cluster-data.html.
    • Google Cluster Data
  • 3
    • 70450256454 scopus 로고    scopus 로고
    • Energy-aware server provisioning and load dispatching for connection-intensive internet services
    • G. Chen and et al., "Energy-aware server provisioning and load dispatching for connection-intensive internet services," in Proc. NSDI, 2008.
    • (2008) Proc. NSDI
    • Chen, G.1
  • 4
    • 85094645327 scopus 로고    scopus 로고
    • Model-based resource provisioning in a web service utility
    • R. Doyle, J. Chase, O. Asad, W. Jin, and A. Vahdat, "Model-based resource provisioning in a web service utility," in Proc. USITS, 2003.
    • (2003) Proc. USITS
    • Doyle, R.1    Chase, J.2    Asad, O.3    Jin, W.4    Vahdat, A.5
  • 7
    • 51849131928 scopus 로고    scopus 로고
    • Resource bundles: Using aggregation for statistical wide-area resource discovery and allocation
    • M. Cardosa and A. Chandra, "Resource bundles: Using aggregation for statistical wide-area resource discovery and allocation," in Proc. ICDCS, 2008.
    • (2008) Proc. ICDCS
    • Cardosa, M.1    Chandra, A.2
  • 8
    • 79951668970 scopus 로고    scopus 로고
    • Analysis of application heartbeats: Learning structural and temporal features in time series data for identification of performance problems
    • E. S. Buneci and D. Reed, "Analysis of application heartbeats: Learning structural and temporal features in time series data for identification of performance problems," in Proc. Supercomputing, 2008.
    • (2008) Proc. Supercomputing
    • Buneci, E.S.1    Reed, D.2
  • 9
    • 4544287810 scopus 로고    scopus 로고
    • Dynamic resource allocation for shared data centers using online measurements
    • A. Chandra, W. Gong, and P. Shenoy, "Dynamic resource allocation for shared data centers using online measurements," in Proc. IWQoS, 2004.
    • (2004) Proc. IWQoS
    • Chandra, A.1    Gong, W.2    Shenoy, P.3
  • 10
    • 79951593699 scopus 로고    scopus 로고
    • "Virtual Computing Lab," http://vcl.ncsu.edu/.
  • 11
    • 4444265683 scopus 로고    scopus 로고
    • Xen and the art of virtualization
    • P. Barham and et al., "Xen and the art of virtualization," in Proc. SOSP, 2003.
    • (2003) Proc. SOSP
    • Barham, P.1
  • 12
    • 84874282652 scopus 로고    scopus 로고
    • "Xen Credit Scheduler," http://wiki.xensource.com/xenwiki/ CreditScheduler.
    • Xen Credit Scheduler
  • 13
  • 16
    • 35348830699 scopus 로고    scopus 로고
    • Resource overbooking and application profiling in shared hosting platforms
    • B. Urgaonkar, P. Shenoy, and et al., "Resource overbooking and application profiling in shared hosting platforms," in Proc. OSDI, 2002.
    • (2002) Proc. OSDI
    • Urgaonkar, B.1    Shenoy, P.2
  • 17
    • 70449437821 scopus 로고    scopus 로고
    • Profiling and modeling resource usage of virtualized applications
    • T. Wood, L. Cherkasova, and et al., "Profiling and modeling resource usage of virtualized applications," in Proc. Middleware, 2008.
    • (2008) Proc. Middleware
    • Wood, T.1    Cherkasova, L.2
  • 19
    • 79951647966 scopus 로고    scopus 로고
    • Statistical profiling-based techniques for effective power provisioning in data centers
    • S. Govindan, J. Choi, and et al., "Statistical profiling-based techniques for effective power provisioning in data centers," in Proc. Eurosys, 2009.
    • (2009) Proc. Eurosys
    • Govindan, S.1    Choi, J.2
  • 20
    • 79951619625 scopus 로고    scopus 로고
    • Learning application models for utility resource planning
    • P. Shivam, S. Babu, and J. Chase, "Learning application models for utility resource planning," in Proc. USITS, 2003.
    • (2003) Proc. USITS
    • Shivam, P.1    Babu, S.2    Chase, J.3
  • 22
    • 67649639298 scopus 로고    scopus 로고
    • Predicting multiple metrics for queries: Better decisions enabled by machine learning
    • A. Ganapathi, H. Kuno, and et al., "Predicting multiple metrics for queries: Better decisions enabled by machine learning," in Proc. ICDE, 2009.
    • (2009) Proc. ICDE
    • Ganapathi, A.1    Kuno, H.2
  • 23
    • 70849134809 scopus 로고    scopus 로고
    • Active and accelerated learning of cost models for optimizing scientific applications
    • P. Shivam, S. Babu, and J. Chase, "Active and accelerated learning of cost models for optimizing scientific applications," in Proc. VLDB, 2006.
    • (2006) Proc. VLDB
    • Shivam, P.1    Babu, S.2    Chase, J.3
  • 24
    • 51649101860 scopus 로고    scopus 로고
    • 1000 islands: Integrated capacity and workload management for the next generation data center
    • Jun.
    • X. Zhu and et al., "1000 Islands: Integrated capacity and workload management for the next generation data center," in Proc. ICAC, Jun. 2008.
    • (2008) Proc. ICAC
    • Zhu, X.1
  • 25
    • 70049104063 scopus 로고    scopus 로고
    • Self-adaptive and self-configured CPU resource provisioning for virtualized servers using Kalman filters
    • E. Kalyvianaki, T. Charalambous, and S. Hand, "Self-adaptive and self-configured CPU resource provisioning for virtualized servers using Kalman filters," in Proc. ICAC, 2009.
    • (2009) Proc. ICAC
    • Kalyvianaki, E.1    Charalambous, T.2    Hand, S.3
  • 26
    • 51649117860 scopus 로고    scopus 로고
    • Adaptive control of virtualized resources in utility computing environments
    • P. Padala and et al., "Adaptive control of virtualized resources in utility computing environments," in Proc. Eurosys, 2007.
    • (2007) Proc. Eurosys
    • Padala, P.1
  • 27
    • 70049107396 scopus 로고    scopus 로고
    • VCONF: A reinforcement learning approach to virtual machines auto-configuration
    • J. Rao, X. Bu, C.-Z. Xu, L. Wang, and G. Yin, "VCONF: A reinforcement learning approach to virtual machines auto-configuration," in Proc. ICAC, 2009.
    • (2009) Proc. ICAC
    • Rao, J.1    Bu, X.2    Xu, C.-Z.3    Wang, L.4    Yin, G.5
  • 29
    • 46849089719 scopus 로고    scopus 로고
    • Capacity management and demand prediction for next generation data centers
    • D. Gmach, J. Rolia, L. Cherkasova, and A. Kemper, "Capacity management and demand prediction for next generation data centers," in Proc. ICWS, 2007.
    • (2007) Proc. ICWS
    • Gmach, D.1    Rolia, J.2    Cherkasova, L.3    Kemper, A.4
  • 30
    • 53349163432 scopus 로고    scopus 로고
    • An integrated approach to resource pool management: Policies, efficiency and quality metrics
    • D. Gmach, J. Rolia, L. Cherkasova, G. Belrose, T. Turicchi, and A. Kemper, "An integrated approach to resource pool management: Policies, efficiency and quality metrics," in Proc. DSN, 2008.
    • (2008) Proc. DSN
    • Gmach, D.1    Rolia, J.2    Cherkasova, L.3    Belrose, G.4    Turicchi, T.5    Kemper, A.6
  • 31
    • 73649125893 scopus 로고    scopus 로고
    • Satisfying service level objectives in a self-managing resource pool
    • D. Gmach, J. Rolia, and L. Cherkasova, "Satisfying service level objectives in a self-managing resource pool," in Proc. SASO, 2009.
    • (2009) Proc. SASO
    • Gmach, D.1    Rolia, J.2    Cherkasova, L.3
  • 32
    • 79951608881 scopus 로고    scopus 로고
    • Gossip-based resource management for cloud environments
    • F. Wuhib, R. Stadler, and M. Spreitzer, "Gossip-based resource management for cloud environments," in Proc. CNSM, 2010.
    • (2010) Proc. CNSM
    • Wuhib, F.1    Stadler, R.2    Spreitzer, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.