메뉴 건너뛰기




Volumn , Issue , 2014, Pages 13-22

Latency-aware elastic scaling for distributed data stream processing systems

Author keywords

distributed data stream processing; elasticity; load balancing

Indexed keywords

ELASTICITY; RESOURCE ALLOCATION; SOFTWARE ARCHITECTURE;

EID: 84903161696     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2611286.2611294     Document Type: Conference Paper
Times cited : (101)

References (23)
  • 2
    • 77955883876 scopus 로고    scopus 로고
    • Network-aware query processing for stream-based applications
    • Y. Ahmad and U. Çetintemel. Network-aware query processing for stream-based applications. In VLDB, pages 456-467, 2004.
    • (2004) VLDB , pp. 456-467
    • Ahmad, Y.1    Çetintemel, U.2
  • 5
    • 79957807756 scopus 로고    scopus 로고
    • Accurate latency estimation in a distributed event processing system
    • B. Chandramouli, J. Goldstein, R. Barga, M. Riedewald, and I. Santos. Accurate latency estimation in a distributed event processing system. In ICDE, pages 255-266, 2011.
    • (2011) ICDE , pp. 255-266
    • Chandramouli, B.1    Goldstein, J.2    Barga, R.3    Riedewald, M.4    Santos, I.5
  • 7
    • 85088775786 scopus 로고    scopus 로고
    • Elastras: An elastic transactional data store in the cloud
    • S. Das, D. Agrawal, and A. El Abbadi. Elastras: An elastic transactional data store in the cloud. In USENIX HotCloud, 2009.
    • (2009) USENIX HotCloud
    • Das, S.1    Agrawal, D.2    El Abbadi, A.3
  • 8
    • 79959957556 scopus 로고    scopus 로고
    • Zephyr: Live migration in shared nothing databases for elastic cloud platforms
    • A. J. Elmore, S. Das, D. Agrawal, and A. El Abbadi. Zephyr: live migration in shared nothing databases for elastic cloud platforms. In SIGMOD, pages 301-312, 2011.
    • (2011) SIGMOD , pp. 301-312
    • Elmore, A.J.1    Das, S.2    Agrawal, D.3    El Abbadi, A.4
  • 9
    • 84880553720 scopus 로고    scopus 로고
    • Integrating scale out and fault tolerance in stream processing using operator state management
    • R. C. Fernandez, M. Migliavacca, E. Kalyvianaki, and P. Pietzuch. Integrating scale out and fault tolerance in stream processing using operator state management. In SIGMOD, pages 725-736, 2013.
    • (2013) SIGMOD , pp. 725-736
    • Fernandez, R.C.1    Migliavacca, M.2    Kalyvianaki, E.3    Pietzuch, P.4
  • 12
    • 84901786411 scopus 로고    scopus 로고
    • Auto-scaling techniques for elastic data stream processing
    • T. Heinze, V. Pappalardo, Z. Jerzak, and C. Fetzer. Auto-scaling techniques for elastic data stream processing. In ICDEW, 2014.
    • (2014) ICDEW
    • Heinze, T.1    Pappalardo, V.2    Jerzak, Z.3    Fetzer, C.4
  • 17
    • 85136078700 scopus 로고    scopus 로고
    • CAPE: Continuous query engine with heterogeneous-grained adaptivity
    • E. A. Rundensteiner, L. Ding, T. Sutherland, Y. Zhu, B. Pielech, and N. Mehta. CAPE: Continuous query engine with heterogeneous-grained adaptivity. In VLDB, pages 1353-1356, 2004.
    • (2004) VLDB , pp. 1353-1356
    • Rundensteiner, E.A.1    Ding, L.2    Sutherland, T.3    Zhu, Y.4    Pielech, B.5    Mehta, N.6
  • 18
    • 0023977778 scopus 로고
    • Multiple-query optimization
    • T. K. Sellis. Multiple-query optimization. ACM TODS, pages 23-52, 1988.
    • (1988) ACM TODS , pp. 23-52
    • Sellis, T.K.1
  • 19
    • 0041414949 scopus 로고    scopus 로고
    • Flux: An adaptive partitioning operator for continuous query systems
    • M. A. Shah, J. M. Hellerstein, S. Chandrasekaran, and M. J. Franklin. Flux: An adaptive partitioning operator for continuous query systems. In ICDE, pages 25-36, 2003.
    • (2003) ICDE , pp. 25-36
    • Shah, M.A.1    Hellerstein, J.M.2    Chandrasekaran, S.3    Franklin, M.J.4
  • 20
    • 31444440239 scopus 로고    scopus 로고
    • The 8 requirements of real-time stream processing
    • DOI 10.1145/1107499.1107504
    • M. Stonebraker, U. Çetintemel, and S. Zdonik. The 8 requirements of real-time stream processing. ACM SIGMOD Record, pages 42-47, 2005. (Pubitemid 43152547)
    • (2005) SIGMOD Record , vol.34 , Issue.4 , pp. 42-47
    • Stonebraker, M.1    Cetintemel, U.2    Zdonik, S.3
  • 21
    • 34250735599 scopus 로고    scopus 로고
    • High-performance complex event processing over streams
    • E. Wu, Y. Diao, and S. Rizvi. High-performance complex event processing over streams. In SIGMOD, pages 407-418, 2006.
    • (2006) SIGMOD , pp. 407-418
    • Wu, E.1    Diao, Y.2    Rizvi, S.3
  • 22
    • 33847745457 scopus 로고    scopus 로고
    • Hybmig: A hybrid approach to dynamic plan migration for continuous queries
    • Y. Yang, J. Kramer, D. Papadias, and B. Seeger. Hybmig: A hybrid approach to dynamic plan migration for continuous queries. IEEE TKDE, pages 398-411, 2007.
    • (2007) IEEE TKDE , pp. 398-411
    • Yang, Y.1    Kramer, J.2    Papadias, D.3    Seeger, B.4
  • 23
    • 3142686881 scopus 로고    scopus 로고
    • Dynamic plan migration for continuous queries over data streams
    • Y. Zhu, E. A. Rundensteiner, and G. T. Heineman. Dynamic plan migration for continuous queries over data streams. In SIGMOD, pages 431-442, 2004.
    • (2004) SIGMOD , pp. 431-442
    • Zhu, Y.1    Rundensteiner, E.A.2    Heineman, G.T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.