An Efficient Multi-layer Grid Method for Skyline Queries in Distributed Environments

  • He Li
  • Sumin Jang
  • Jaesoo Yoo
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6637)


The skyline query has been received much attention as an important operator in database systems for multi-preference analysis and decision making. Most of the previous works have focused on processing skyline queries on centralized data sets. However, the related data of real applications are practically scattered at several different servers. The skyline query computation in distributed environment is needed to gather a large number of data from the connected servers. The existing methods for a skyline query in distributed environment have two problems: (i) They have slow processing time for a skyline query. (ii) Most of the transferred data among servers in the network are unnecessary. In this paper, we propose a multi-layer grid method for efficiently processing skyline queries in distributed environments (MGDS). The proposed method minimizes the unnecessary transferred data using the grid mechanism. Experiments based on various data sets show that our proposed method outperforms the existing methods.


Skyline query distributed skyline query grid method distributed data 


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  1. 1.
    Borzonyi, S., Kossmann, D., Stocker, K.: The skyline operator. In: 17th International Conference on Data Engineering, pp. 421–430. ICDE Press, Heidelberg (2001)CrossRefGoogle Scholar
  2. 2.
    Kossmann, D., Ramsak, F., Rost, S.: Shooting stars in the sky: An online algorithm for skyline queries. In: 28th International Conference on Very Large Data Bases, pp. 181–184 (2002)Google Scholar
  3. 3.
    Papadias, D., Tao, Y., Fu, G., Seeger, B.: An optimal and progressive algorithm for skyline queries. In: ACM-SIGMOD International Conference on Management of Data, pp. 467–478. ACM Press, San Diego (2003)Google Scholar
  4. 4.
    Rocha-Junior, J.B., Vlachou, A., Doulkeridis, C., Norvag, K.: AGiDS: A Grid-based Strategy for Distributed Skyline Query Processing. In: Data Management in Grid and Peer to Peer Systems, Second International Conference, Globe 2009, Linz, pp. 12–23 (2009)Google Scholar
  5. 5.
    Balke, W.T., Güntzer, U., Zheng, J.X.: Efficient distributed skylining for web information systems. In: Hwang, J., Christodoulakis, S., Plexousakis, D., Christophides, V., Koubarakis, M., Böhm, K. (eds.) EDBT 2004. LNCS, vol. 2992, pp. 256–273. Springer, Heidelberg (2004)CrossRefGoogle Scholar
  6. 6.
    Wang, S., Vu, Q.H., Ooi, B.C., Tung, A.K.H., Xu, L.: Skyframe: A framework for skyline query processing in peer-to-peer systems. VLDB Journal 18, 345–362 (2009)CrossRefGoogle Scholar
  7. 7.
    Cui, B., Lu, H., Xu, Q., Chen, L., Dai, Y., Zhou, Y.: Parallel distributed processing of constrained skyline queries by filtering. In: 24th International Conference on Data Engineering, ICDE 2008, Cancun, pp. 546–555 (2008)Google Scholar
  8. 8.
    Zhu, L., Tao, Y., Zhou, S.: Distributed skyline retrieval with low bandwidth consumption. In: TKDE, pp. 384–400 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • He Li
    • 1
  • Sumin Jang
    • 1
  • Jaesoo Yoo
    • 1
  1. 1.Department of Information and Communication EngineeringChungbuk National UniversityCheongjuKorea

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