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A Generic and Efficient Framework for Spatial Indexing on Flash-Based Solid State Drives

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Advances in Databases and Information Systems (ADBIS 2017)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 10509))

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Abstract

Speeding up the spatial query processing on flash-based Solid State Drives (SSDs) has become a core problem in spatial database applications, and has been carried out aided by flash-aware spatial indices. Although there are some existing flash-aware spatial indices, they do not exploit all the benefits of SSDs, leading to loss of efficiency. In this paper, we propose a new generic and efficient Framework for spatial INDexing on SSDs, called eFIND. It takes into account all the intrinsic characteristics of SSDs by employing (i) a write buffer to avoid random writes; (ii) a read buffer to decrease the overhead of random reads; (iii) a temporal control to avoid interleaved reads and writes; (iv) a flushing policy based on the characteristics of the indexed spatial objects; and (v) a log-structured approach to provide data durability. Performance tests showed that eFIND is very efficient. Compared to existing indices, eFIND improved the construction of spatial indices from 22% up to 68% and the spatial query processing from 3% up to 50%.

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Notes

  1. 1.

    http://www.openstreetmap.org/.

  2. 2.

    http://gbd.dc.ufscar.br/festival/.

References

  1. Carniel, A.C., Ciferri, R.R., Ciferri, C.D.A.: Experimental evaluation of spatial indices with FESTIval. In: Brazilian Symposium on Databases - Demonstration Track, pp. 123–128 (2016)

    Google Scholar 

  2. Carniel, A.C., Ciferri, R.R., Ciferri, C.D.A.: The performance relation of spatial indexing on hard disk drives and solid state drives. In: Brazilian Symposium on GeoInformatics, pp. 263–274 (2016)

    Google Scholar 

  3. Chen, F., Koufaty, D.A., Zhang, X.: Understanding intrinsic characteristics and system implications of flash memory based solid state drives. In: International Conference on Measurement and Modeling of Computer Systems, pp. 181–192 (2009)

    Google Scholar 

  4. Gaede, V., Günther, O.: Multidimensional access methods. ACM Comput. Surv. 30(2), 170–231 (1998)

    Article  Google Scholar 

  5. Guttman, A.: R-trees: A dynamic index structure for spatial searching. In: ACM SIGMOD International Conference on Management of Data, pp. 47–57 (1984)

    Google Scholar 

  6. Jin, P., Xie, X., Wang, N., Yue, L.: Optimizing R-tree for flash memory. Expert Syst. Appl. 42(10), 4676–4686 (2015)

    Article  Google Scholar 

  7. Jung, M., Kandemir, M.: Revisiting widely held SSD expectations and rethinking system-level implications. In: International Conference on Measurement and Modeling of Computer Systems, pp. 203–216 (2013)

    Google Scholar 

  8. Lv, Y., Li, J., Cui, B., Chen, X.: Log-compact R-tree: an efficient spatial index for SSD. In: International Conference on Database Systems for Advanced Applications, pp. 202–213 (2011)

    Google Scholar 

  9. Mittal, S., Vetter, J.S.: A survey of software techniques for using non-volatile memories for storage and main memory systems. IEEE Trans. Parallel Distrib. Syst. 27(5), 1537–1550 (2016)

    Article  Google Scholar 

  10. Sarwat, M., Mokbel, M.F., Zhou, X., Nath, S.: Generic and efficient framework for search trees on flash memory storage systems. GeoInformatica 17(3), 417–448 (2013)

    Article  Google Scholar 

  11. Wu, C.H., Chang, L.P., Kuo, T.W.: An efficient R-tree implementation over flash-memory storage systems. In: ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, pp. 17–24 (2003)

    Google Scholar 

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Acknowledgments

This work has been supported by CAPES, CNPq, and FAPESP. A. C. Carniel has been supported by the grant #2015/26687-8, FAPESP. R. R. Ciferri has been supported by the grant #311868/2015-0, CNPq.

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Authors and Affiliations

  1. Department of Computer Science, University of São Paulo, São Carlos, SP, 13566-590, Brazil

    Anderson Chaves Carniel & Cristina Dutra de Aguiar Ciferri

  2. Department of Computer Science, Federal University of São Carlos, São Carlos, SP, 13565-905, Brazil

    Ricardo Rodrigues Ciferri

Authors
  1. Anderson Chaves Carniel
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  2. Ricardo Rodrigues Ciferri
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  3. Cristina Dutra de Aguiar Ciferri
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Corresponding author

Correspondence to Anderson Chaves Carniel .

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Editors and Affiliations

  1. Riga Technical University , Riga, Latvia

    Mārīte Kirikova

  2. Norwegian University of Science and Technology, Trondheim, Norway

    Kjetil Nørvåg

  3. University of Cyprus , Nicosia, Cyprus

    George A. Papadopoulos

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Carniel, A.C., Ciferri, R.R., de Aguiar Ciferri, C.D. (2017). A Generic and Efficient Framework for Spatial Indexing on Flash-Based Solid State Drives. In: Kirikova, M., Nørvåg, K., Papadopoulos, G. (eds) Advances in Databases and Information Systems. ADBIS 2017. Lecture Notes in Computer Science(), vol 10509. Springer, Cham. https://doi.org/10.1007/978-3-319-66917-5_16

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  • DOI: https://doi.org/10.1007/978-3-319-66917-5_16

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-66916-8

  • Online ISBN: 978-3-319-66917-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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