메뉴 건너뛰기




Volumn , Issue , 2004, Pages 444-455

Online Balancing of Range-Partitioned Data with Applications to Peer-to-Peer Systems

Author keywords

[No Author keywords available]

Indexed keywords


EID: 33947171464     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1016/B978-012088469-8.50041-3     Document Type: Chapter
Times cited : (183)

References (29)
  • 1
    • 18844430525 scopus 로고    scopus 로고
    • Scalable data access in p2p systems using unbalanced search trees
    • K. Aberer (2002) Scalable data access in p2p systems using unbalanced search trees. Proc. WDAS
    • (2002) Proc. WDAS
    • Aberer, K.1
  • 2
    • 3142691469 scopus 로고    scopus 로고
    • The quest for balancing peer load in structured peer-to-peer systems
    • Switzerland: EPFL
    • K. Aberer, A. Datta and M. Hauswirth (2003) The quest for balancing peer load in structured peer-to-peer systems. Technical Report IC/2003/32 Switzerland: EPFL
    • (2003) Technical Report IC/2003/32
    • Aberer, K.1    Datta, A.2    Hauswirth, M.3
  • 3
    • 2442624244 scopus 로고    scopus 로고
    • Approximate range selection queries in peer-to-peer systems
    • A. Gupta, D. Agrawal and A. Abbadi (2003) Approximate range selection queries in peer-to-peer systems. Proc. CIDR
    • (2003) Proc. CIDR
    • Gupta, A.1    Agrawal, D.2    Abbadi, A.3
  • 4
    • 2442508617 scopus 로고    scopus 로고
    • Scalable, effcient range queries for grid information services
    • A. Andrzejak and Z. Xu (2002) Scalable, effcient range queries for grid information services. Proc. P2P
    • (2002) Proc. P2P
    • Andrzejak, A.1    Xu, Z.2
  • 7
    • 11244278317 scopus 로고    scopus 로고
    • Mercury: Supporting scalable multi-attribute range queries
    • A. Bharambe, M. Agrawal and S. Seshan (2004) Mercury: Supporting scalable multi-attribute range queries. Proc. SIGCOMM
    • (2004) Proc. SIGCOMM
    • Bharambe, A.1    Agrawal, M.2    Seshan, S.3
  • 11
    • 0026870271 scopus 로고
    • Parallel database systems: The future of high performance database processing
    • D. DeWitt and J. Gray (1992) Parallel database systems: The future of high performance database processing. Communications of the ACM 36(6)
    • (1992) Communications of the ACM , vol.36 , Issue.6
    • DeWitt, D.1    Gray, J.2
  • 12
    • 85136013287 scopus 로고    scopus 로고
    • A fast convergence technique for online heat-balancing of btree indexed database over shared-nothing parallel systems
    • H. Feeli, M. Kitsuregawa and B.C. Ooi (2000) A fast convergence technique for online heat-balancing of btree indexed database over shared-nothing parallel systems. Proc. DEXA
    • (2000) Proc. DEXA
    • Feeli, H.1    Kitsuregawa, M.2    Ooi, B.C.3
  • 13
    • 38149020330 scopus 로고    scopus 로고
    • Online balancing of range-partitioned data with applications to p2p systems
    • Stanford U.
    • P. Ganesan, M. Bawa and H. Garcia-Molina (2004) Online balancing of range-partitioned data with applications to p2p systems. Technical Report Stanford U. http://dbpubs.stanford.edu/pubs/2004-18
    • (2004) Technical Report
    • Ganesan, P.1    Bawa, M.2    Garcia-Molina, H.3
  • 14
    • 25644460288 scopus 로고    scopus 로고
    • One torus to rule them all: Multi-dimensional queries in p2p systems
    • P. Ganesan, B. Yang and H. Garcia-Molina (2004) One torus to rule them all: Multi-dimensional queries in p2p systems. WebDB
    • (2004) WebDB
    • Ganesan, P.1    Yang, B.2    Garcia-Molina, H.3
  • 15
    • 84976712175 scopus 로고
    • A performance analysis of alternative multi-attribute declustering strategies
    • S. Ghandeharizadeh and D.J. DeWitt (1992) A performance analysis of alternative multi-attribute declustering strategies. Proc. SIGMOD
    • (1992) Proc. SIGMOD
    • Ghandeharizadeh, S.1    DeWitt, D.J.2
  • 17
    • 34248641709 scopus 로고    scopus 로고
    • Simple effcient load-balancing algorithms for peer-to-peer systems
    • D.R. Karger and M. Ruhl (2004) Simple effcient load-balancing algorithms for peer-to-peer systems. Proc. IPTPS
    • (2004) Proc. IPTPS
    • Karger, D.R.1    Ruhl, M.2
  • 19
    • 12444261097 scopus 로고
    • *: A family of order preserving scalable distributed data structures
    • W. Litwin, M.-A. Neimat and D.A. Schneider (1994) RP*: A family of order preserving scalable distributed data structures. Proc. VLDB
    • (1994) Proc. VLDB
    • Litwin, W.1    Neimat, M.-A.2    Schneider, D.A.3
  • 21
    • 85134294404 scopus 로고    scopus 로고
    • Automating physical database design in a parallel database
    • J. Rao, C. Zhang, N. Megiddo and G. Lohman (2002) Automating physical database design in a parallel database. Proc. SIGMOD
    • (2002) Proc. SIGMOD
    • Rao, J.1    Zhang, C.2    Megiddo, N.3    Lohman, G.4
  • 23
    • 0003007594 scopus 로고    scopus 로고
    • Pastry: Scalable, distributed object location, and routing for large-scale peer-to-peer systems
    • A.I.T. Rowstron and P. Druschel (2001) Pastry: Scalable, distributed object location, and routing for large-scale peer-to-peer systems. Proc. Middleware
    • (2001) Proc. Middleware
    • Rowstron, A.I.T.1    Druschel, P.2
  • 26
    • 38349049774 scopus 로고    scopus 로고
    • Multi-dimensional database allocation for parallel data warehouses
    • T. Stohr, H. Martens and E. Rahm (2000) Multi-dimensional database allocation for parallel data warehouses. Proc. VLDB
    • (2000) Proc. VLDB
    • Stohr, T.1    Martens, H.2    Rahm, E.3
  • 28
    • 84976651468 scopus 로고
    • Nonstop sql, a distributed high-performance, high-reliability implementation of sql
    • Tandem Database Group (1987) Nonstop sql, a distributed high-performance, high-reliability implementation of sql. Proc. HPTS
    • (1987) Proc. HPTS
  • 29
    • 85135993899 scopus 로고
    • Physical Database Design Decision Algorithms and Concurrent Reorganization for Parallel Database Systems
    • University of Toronto
    • D.C. Zillio (1988) Physical Database Design Decision Algorithms and Concurrent Reorganization for Parallel Database Systems. PhD thesis University of Toronto
    • (1988) PhD thesis
    • Zillio, D.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.