메뉴 건너뛰기




Volumn , Issue , 2012, Pages

Bridging the tenant-provider gap in cloud services

Author keywords

Cloud; Cloud pricing; Job centric; Provider interface; Resource malleability; Resource selection

Indexed keywords

CLOUD PROVIDERS; CLOUD SERVICES; DATA ANALYTICS; GOOD PUT; JOB-CENTRIC; LARGE SCALE SIMULATIONS; MULTIPLE RESOURCES; RESOURCE MALLEABILITY; RESOURCE REQUIREMENTS; RESOURCE SELECTION;

EID: 84870551984     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2391229.2391239     Document Type: Conference Paper
Times cited : (85)

References (47)
  • 6
    • 85030321143 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • J. Dean and S. Ghemawat. MapReduce: Simplified Data Processing on Large Clusters. In OSDI, 2004.
    • (2004) OSDI
    • Dean, J.1    Ghemawat, S.2
  • 7
    • 37549003336 scopus 로고    scopus 로고
    • MapReduce: Simplified data processing on large clusters
    • J. Dean and S. Ghemawat. MapReduce: Simplified Data Processing on Large Clusters. Comm.of ACM, 51(1),2008.
    • (2008) Comm. of ACM , vol.51 , Issue.1
    • Dean, J.1    Ghemawat, S.2
  • 8
    • 79959593176 scopus 로고    scopus 로고
    • Near optimal online algorithms and fast approximation algorithms for resource allocation problems
    • N. R. Devanur, K. Jain, B. Sivan, and C. A. Wilkens. Near optimal online algorithms and fast approximation algorithms for resource allocation problems. In EC, 2011.
    • (2011) EC
    • Devanur, N.R.1    Jain, K.2    Sivan, B.3    Wilkens, C.A.4
  • 12
    • 84860347560 scopus 로고    scopus 로고
    • PARDA: Proportional allocation of resources for distributed storage access
    • A. Gulati, I. Ahmad, and C. A. Waldspurger. PARDA: proportional allocation of resources for distributed storage access. In FAST, 2009.
    • (2009) FAST
    • Gulati, A.1    Ahmad, I.2    Waldspurger, C.A.3
  • 13
    • 79951618531 scopus 로고    scopus 로고
    • SecondNet: A data center network virtualization architecture with bandwidth guarantees
    • C. Guo, G. Lu, H. J. Wang, S. Yang, C. Kong, P. Sun, W. Wu, and Y. Zhang. SecondNet: A Data Center Network Virtualization Architecture with Bandwidth Guarantees. In CoNEXT, 2010.
    • (2010) CoNEXT
    • Guo, C.1    Lu, G.2    Wang, H.J.3    Yang, S.4    Kong, C.5    Sun, P.6    Wu, W.7    Zhang, Y.8
  • 14
    • 84863428384 scopus 로고    scopus 로고
    • No one (Cluster) size fits all: Automatic cluster sizing for data-intensive analytics
    • H. Herodotou, F. Dong, and S. Babu. No One (Cluster) Size Fits All: Automatic Cluster Sizing for Data-intensive Analytics. In ACM SOCC, 2011.
    • (2011) ACM SOCC
    • Herodotou, H.1    Dong, F.2    Babu, S.3
  • 16
    • 35448961922 scopus 로고    scopus 로고
    • Dryad: Distributed data-parallel programs from sequential building blocks
    • M. Isard, M. Budiu, Y. Yu, A. Birrell, and D. Fetterly. Dryad: Distributed Data-Parallel Programs from Sequential Building Blocks. In EuroSys, 2007.
    • (2007) EuroSys
    • Isard, M.1    Budiu, M.2    Yu, Y.3    Birrell, A.4    Fetterly, D.5
  • 19
    • 84994424358 scopus 로고    scopus 로고
    • Routing and admission control in general topology networks with poisson arrivals
    • A. Kamath, O. Palmon, and S. Plotkin. Routing and admission control in general topology networks with poisson arrivals. In ACM-SIAM SODA, 1996.
    • (1996) ACM-SIAM SODA
    • Kamath, A.1    Palmon, O.2    Plotkin, S.3
  • 20
    • 84981321777 scopus 로고    scopus 로고
    • Towards optimizing hadoop provisioning in the cloud
    • K. Kambatla, A. Pathak, and H. Pucha. Towards Optimizing Hadoop Provisioning in the Cloud. In HotCloud, 2009.
    • (2009) HotCloud
    • Kambatla, K.1    Pathak, A.2    Pucha, H.3
  • 21
    • 85014276863 scopus 로고    scopus 로고
    • Triage: Performance differentiation for storage systems using adaptive control
    • M. Karlsson, C. Karamanolis, and X. Zhu. Triage: Performance differentiation for storage systems using adaptive control. ACM Trans. Storage, 1, 2005.
    • (2005) ACM Trans. Storage , vol.1
    • Karlsson, M.1    Karamanolis, C.2    Zhu, X.3
  • 23
    • 85092658265 scopus 로고    scopus 로고
    • Disks are like snowflakes: No two are alike
    • E. Krevat, J. Tucek, and G. R. Ganger. Disks Are Like Snowflakes: No Two Are Alike. In HotOS, 2011.
    • (2011) HotOS
    • Krevat, E.1    Tucek, J.2    Ganger, G.R.3
  • 26
    • 78650877494 scopus 로고    scopus 로고
    • CloudCmp: Comparing public cloud providers
    • A. Li, X. Yang, S. Kandula, and M. Zhang. CloudCmp: comparing public cloud providers. In IMC, 2010.
    • (2010) IMC
    • Li, A.1    Yang, X.2    Kandula, S.3    Zhang, M.4
  • 27
    • 80053159021 scopus 로고    scopus 로고
    • CloudProphet: Towards application performance prediction in cloud
    • A. Li, X. Zong, S. Kandula, X. Yand, and M. Zhang. CloudProphet: Towards Application Performance Prediction in Cloud. In SIGCOMM (Poster), 2011.
    • (2011) SIGCOMM (Poster)
    • Li, A.1    Zong, X.2    Kandula, S.3    Yand, X.4    Zhang, M.5
  • 28
    • 68249129760 scopus 로고    scopus 로고
    • Above the clouds: A Berkeley view of cloud computing
    • Michael Armburst et al. Above the Clouds: A Berkeley View of Cloud Computing. Technical report, UCB, 2009.
    • (2009) Technical Report, UCB
    • Armburst, M.1
  • 29
    • 77954732118 scopus 로고    scopus 로고
    • ParaTimer: A progress indicator for MapReduce DAGs
    • K. Morton, M. Balazinska, and D. Grossman. ParaTimer: a progress indicator for MapReduce DAGs. In SIGMOD, 2010.
    • (2010) SIGMOD
    • Morton, K.1    Balazinska, M.2    Grossman, D.3
  • 30
    • 80053503082 scopus 로고    scopus 로고
    • Runtime measurements in the cloud: Observing, analyzing, and reducing variance
    • J. Schad, J. Dittrich, and J.-A. Quiané-Ruiz. Runtime measurements in the cloud: observing, analyzing, and reducing variance. In VLDB, 2010.
    • (2010) VLDB
    • Schad, J.1    Dittrich, J.2    Quiané-Ruiz, J.-A.3
  • 32
    • 85076924934 scopus 로고    scopus 로고
    • Performance isolation and fairness for multi-tenant cloud storage
    • D. Shue, M. J. Freedman, and A. Shaikh. Performance Isolation and Fairness for Multi-Tenant Cloud Storage. In OSDI, 2012.
    • (2012) OSDI
    • Shue, D.1    Freedman, M.J.2    Shaikh, A.3
  • 33
    • 84870642501 scopus 로고    scopus 로고
    • Generic performance prediction for ERP and SOA applications
    • D. Tertilt and H. Krcmar. Generic Performance Prediction for ERP and SOA Applications. In ECIS, 2011.
    • (2011) ECIS
    • Tertilt, D.1    Krcmar, H.2
  • 34
    • 80053154819 scopus 로고    scopus 로고
    • Towards optimal resource provisioning for running MapReduce programs in public cloud
    • F. Tian and K. Chen. Towards Optimal Resource Provisioning for Running MapReduce programs in Public Cloud. In CLOUD, 2011.
    • (2011) CLOUD
    • Tian, F.1    Chen, K.2
  • 35
    • 79960196705 scopus 로고    scopus 로고
    • ARIA: Automatic resource inference and allocation for mapreduce environments
    • A. Verma, L. Cherkasova, and R. Campbell. ARIA: automatic resource inference and allocation for mapreduce environments. In ICAC, 2011.
    • (2011) ICAC
    • Verma, A.1    Cherkasova, L.2    Campbell, R.3
  • 36
    • 70349753672 scopus 로고    scopus 로고
    • Benchmarking amazon EC2 for high-performance scientific computing
    • E. Walker. Benchmarking Amazon EC2 for high-performance scientific computing. Login, 2008.
    • (2008) Login
    • Walker, E.1
  • 37
    • 76349087821 scopus 로고    scopus 로고
    • A simulation approach to evaluating design decisions in MapReduce setups
    • G. Wang, A. R. Butt, P. Pandey, and K. Gupta. A Simulation Approach to Evaluating Design Decisions in MapReduce Setups. In MASCOTS, 2009.
    • (2009) MASCOTS
    • Wang, G.1    Butt, A.R.2    Pandey, P.3    Gupta, K.4
  • 39
    • 85072781406 scopus 로고    scopus 로고
    • Orchestrating the deployment of computations in the cloud with conductor
    • A. Wieder, P. Bhatotia, A. Post, and R. Rodrigues. Orchestrating the Deployment of Computations in the Cloud with Conductor. In NSDI, 2012.
    • (2012) NSDI
    • Wieder, A.1    Bhatotia, P.2    Post, A.3    Rodrigues, R.4
  • 40
    • 77954636142 scopus 로고    scopus 로고
    • Delay scheduling: A simple technique for achieving locality and fairness in cluster scheduling
    • M. Zaharia, D. Borthakur, J. Sen Sarma, K. Elmeleegy, S. Shenker, and I. Stoica. Delay Scheduling: a Simple Technique for Achieving Locality and Fairness in Cluster Scheduling. In EuroSys, 2010.
    • (2010) EuroSys
    • Zaharia, M.1    Borthakur, D.2    Sen Sarma, J.3    Elmeleegy, K.4    Shenker, S.5    Stoica, I.6


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.