Skip to main content

Cache Conscious Dynamic Transaction Routing in a Shared Disks Cluster

  • Conference paper
Computational Science and Its Applications – ICCSA 2004 (ICCSA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3045))

Included in the following conference series:

Abstract

A shared disks (SD) cluster couples multiple computing nodes for high performance transaction processing, and all nodes share a common database at the disk level. In this paper, we propose a transaction routing algorithm employed at the front-end router to select an execution node of an incoming transaction. The proposed algorithm improves the system performance by increasing the buffer hit ratio and reducing the frequency of cross buffer invalidation while achieving the dynamic load balancing. Using a simulation model, we evaluate the performance of the proposed algorithm under a wide variety of database workloads.

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

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Chen, S., Xiao, L., Zhang, X.: Dynamic Load Sharing with Unknown Memory Demands in Clusters. In: Proc. 21st ICDCS Conf., pp. 109–118 (2001)

    Google Scholar 

  2. Cho, H.: Cache Coherency and Concurrency Control in a Multisystem Data Sharing Environment. IEICE Trans. on Infor. and Syst. E82-D, 1042–1050 (1999)

    Google Scholar 

  3. Cho, H.: Database Recovery using Incomplete Page Versions in a Multisystem Data Sharing Environment. Infor. Processing Letters 83, 49–55 (2002)

    Article  MATH  Google Scholar 

  4. Cho, H., Park, J.: Maintaining Cache Coherency in a Multisystem Data Sharing Environment. J. Syst. Architecture 45, 285–303 (1998)

    Article  Google Scholar 

  5. DB2 Universal Database for OS/390 and z/OS – Data Sharing: Planning and Administration. IBM SC26-9935-01 (2001)

    Google Scholar 

  6. Haldar, S., Subramanian, D.: An Affinity-based Dynamic Load Balancing Protocol for Distributed Transaction Processing Systems. Performance Evaluation 17, 53–71 (1993)

    Article  MATH  Google Scholar 

  7. Hamidzadeh, B., Kit, L., Lilja, D.: Dynamic Task Scheduling using Online Optimization. IEEE Trans. on Parallel and Distributed Syst. 11, 1151–1163 (2000)

    Article  Google Scholar 

  8. Mohan, C., Narang, I.: Recovery and Coherency Control Protocols for Fast Intersystem Page Transfer and Fine-Granularity Locking in a Shared Disks Transaction Environment. In: Proc. 17th VLDB Conf., pp. 193–207 (1991)

    Google Scholar 

  9. Nikolaou, C., Marazakis, M., Georgiannakis, G.: Transaction Routing for Distributed OLTP Systems: Survey and Recent Results. Infor. Sciences 97, 45–82 (1997)

    Article  Google Scholar 

  10. Oracle9i Real Application Clusters – Concepts. Oracle Part No. A89867-02 (2001)

    Google Scholar 

  11. Shirazi, B., Hurson, A., Kavi, K. (eds.): Scheduling and Load Balancing in Parallel and Distributed Systems. IEEE Computer Society Press, Los Alamitos (1995)

    Google Scholar 

  12. Vallath, M.: Oracle Real Application Clusters. Elsevier Digital Press, Amsterdam (2004)

    Google Scholar 

  13. Yousif, M.: Shared-Storage Clusters. Cluster Comp. 2, 249–257 (1999)

    Article  Google Scholar 

  14. Yu, P., Dan, A.: Performance Analysis of Affinity Clustering on Transaction Processing Coupling Architecture. IEEE Trans. on Knowledge and Data Eng. 6, 764–786 (1994)

    Article  Google Scholar 

  15. Yu, P., Dan, A.: Performance Evaluation of Transaction Processing Coupling Architectures for Handling System Dynamics. IEEE Trans. on Parallel and Distributed Syst. 5, 139–153 (1994)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2004 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ohn, K., Cho, H. (2004). Cache Conscious Dynamic Transaction Routing in a Shared Disks Cluster. In: Laganá, A., Gavrilova, M.L., Kumar, V., Mun, Y., Tan, C.J.K., Gervasi, O. (eds) Computational Science and Its Applications – ICCSA 2004. ICCSA 2004. Lecture Notes in Computer Science, vol 3045. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24767-8_57

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-24767-8_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22057-2

  • Online ISBN: 978-3-540-24767-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics