Skip to main content
SpringerLink
Log in

Efficient Distributed Skyline Queries for Mobile Applications

  • Regular Paper
  • Published:
Journal of Computer Science and Technology Aims and scope Submit manuscript

Abstract

In this paper, we consider skyline queries in a mobile and distributed environment, where data objects are distributed in some sites (database servers) which are interconnected through a high-speed wired network, and queries are issued by mobile units (laptop, cell phone, etc.) which access the data objects of database servers by wireless channels. The inherent properties of mobile computing environment such as mobility, limited wireless bandwidth, frequent disconnection, make skyline queries more complicated. We show how to efficiently perform distributed skyline queries in a mobile environment and propose a skyline query processing approach, called efficient distributed skyline based on mobile computing (EDS-MC). In EDS-MC, a distributed skyline query is decomposed into five processing phases and each phase is elaborately designed in order to reduce the network communication, network delay and query response time. We conduct extensive experiments in a simulated mobile database system, and the experimental results demonstrate the superiority of EDS-MC over other skyline query processing techniques on mobile computing.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Formanand G, Zahorjan J. The challenges of mobile computing. IEEE Computer, 1994, 27(4): 38–47.

    Google Scholar 

  2. Imielinski T, Badrinath B. Wireless mobile computing: Challenges in data management. Communications of the ACM, 1994, 37(10): 18–28.

    Article  Google Scholar 

  3. Sashidhar G, Vijay K. Recovery in the mobile wireless environment using mobile agents. IEEE Transactions on Mobile Computing, 2004, 3(2): 180–191.

    Article  Google Scholar 

  4. Tao Y, Xiao X, Pei J. SUBSKY: Efficient computation of skylines in subspaces. In Proc. ICDE, Atlanta, USA, Apr. 3–8, 2006, pp.711–720.

  5. Chan C Y, Jagadish H V, Tan K L et al. Finding k-dominant skylines in high dimensional space. In Proc. SIGMOD, Chicago, Illinois, June 27–29, 2006, pp.503–514.

  6. Chan C Y, Jagadish H V, Tan K L et al. On high dimensional skylines. In Proc. EDBT, Munich, Germany, Mar. 26–31, 2006, pp.478–495.

  7. Kossmann D, Ramsak F, Rost S. Shooting stars in the sky: An online algorithm for skyline queries. In Proc. VLDB, Hong Kong, China, Aug. 20–23, 2002, pp.275–286.

  8. Morese M, Patel J M, Jagadish H V. Efficient skyline computation over low-cardinality domains. In Proc. VLDB, Vienna, Austria, Sept. 23–27, 2007, pp.267–278.

  9. Stephan B, Donald K, Konrad S. The skyline operator. In Proc. ICDE, Heidelberg, Germany, Apr. 2-6, 2001, pp.421–430.

  10. Chomicki J, Godfrey P et al. Skyline with presorting. In Proc. ICDE, Bangalore, India, Mar. 5–8, 2003, pp.717–719.

  11. Tan K L, Eng P K, Ooi B C et al. Efficient progressive skyline computation. In Proc. ICDE, Heidelberg, Germany, Apr. 2–6, 2001, pp.301–310.

  12. Lee K, Zheng B, Li H et al. Approaching the skyline in z order. In Proc. VLDB, Vienna, Austria, Sept. 23–27, 2007, pp.279–290.

  13. Papadias D, Tao Y, Greg F et al. An optimal and progressive algorithm for skyline queries. In Proc. SIGMOD, San Diego, USA, June 9–12, 2003, pp.467–478.

  14. Papadias D, Tao Y, Greg F et al. Progressive skyline computation in database systems. ACM Transactions on Database Systems, 2005, 30(1): 41–82.

    Article  Google Scholar 

  15. Chaudhuri S, Dalvi N, Kaushik R. Robust cardinality and cost estimation for skyline operator. In Proc. ICDE, Atlanta, GA, Apr. 3–8, 2006, pp.64–73.

  16. Huang Z H, Guo J K, Sun S L et al. Efficient optimization of multiple subspace skyline queries. Journal of Computer Science and Technology, 2008, 23(1): 103–111.

    Article  MathSciNet  Google Scholar 

  17. Pei J, Jiang B, Lin X et al. Probabilistic skylines on uncertain data. In Proc. VLDB, Vienna, Austria, Sept. 23–27, 2007, pp.15–26.

  18. Sharifzadeh M, Shahabi C. The spatial skyline query. In Proc. VLDB, Seoul, Korea, Sept. 12–15, 2006, pp.751–762.

  19. Deng K, Zhou X, Shen H T. Multi-source skyline query processing in road networks. In Proc. ICDE, Istanbul, Turkey, Apr.15–20, 2007, pp.796–805.

  20. Zhu L, Tao Y, Zhou S G. Distributed skyline retrieval with low bandwidth consumption. IEEE Transactions on Knowledge and Data Engineering, 2009, 21(3): 384–400.

    Article  Google Scholar 

  21. Huang Z, Jensen C S, Lu H et al. Skyline queries against mobile lightweight devices in MANETs. In Proc. ICDE, Atlanta, USA, Apr. 3–8, 2006, pp.66–77.

  22. Wang S, Ooi B C, Tung A K H et al. Efficient skyline query processing on peer-to-peer networks. In Proc. ICDE, Istanbul, Turkey, Apr. 15–20, 2007, pp.1126–1135.

  23. Wu P, Zhang C, Feng Y et al. Parallelizing skyline queries for scalable distribution. In Proc. EDBT, Munich, Germany, Mar. 26–31, 2006, pp.112–130.

  24. Hose K, Lemke C, Sattler K U et al. Processing relaxed sky-lines in PDMS using distributed data summaries. In Proc. CIKM, Arlington, USA, Nov. 6–11, 2006, pp.425–434.

  25. Vlachou A, Doulkeridis C, Kotidis Y et al. Skypeer: Efficient subspace skyline computation over distributed data. In Proc. ICDE'07, Istanbul, Turkey, Apr. 15–20, 2007, pp.416–425.

  26. Balke W T, Guntzer U, Zheng J X. Efficient distributed sky-line forWeb information systems. In Proc. EDBT, Heraklion, Greece, Mar. 14–18, 2004, pp.256–273.

  27. Eric L, Kevin Y Y, Lin K et al. Progressive skylining over Web-accessible databases. Data & Knowledge Engineering, 2006, 57(2): 122–147.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, 300191, China

    Ying-Yuan Xiao (Senior Member, CCF)

  2. Key Laboratory of Computer Vision and System, Tianjin University of Technology, Tianjin, 300191, China

    Ying-Yuan Xiao (Senior Member, CCF)

  3. School of Computing, National University of Singapore, 117417, Singapore, Singapore

    Ying-Yuan Xiao (Senior Member, CCF)

  4. Key Laboratory of Data Engineering and Knowledge Engineering, Renmin University of China, Beijing, 100872, China

    Yue-Guo Chen

Authors
  1. Ying-Yuan Xiao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yue-Guo Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Ying-Yuan Xiao.

Additional information

This work is supported by the Natural Science Foundation of Tianjin under Grant No. 08JCYBJC12400, the Innovative Foundation of Small and Medium Enterprises under Grant No. 08ZXCXGX15000, the National High-Technology Research and Development 863 Program of China under Grant No. 2009AA01Z152 and the National Natural Science Foundation of China under Grant No. 60872064.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Xiao, YY., Chen, YG. Efficient Distributed Skyline Queries for Mobile Applications. J. Comput. Sci. Technol. 25, 523–536 (2010). https://doi.org/10.1007/s11390-010-9342-0

Download citation

  • Received:

  • Revised:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11390-010-9342-0

Keywords

Search

Navigation