Skip to main content

Optimize Performance Load Balancing Techniques Using Binary Vote Assignment Grid Quorum (BVAGQ): A Systematic Review

  • Conference paper
  • First Online:
Book cover Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 520))

  • 297 Accesses

Abstract

This paper present load balancing technique in a heterogeneous environment allows the usage for geographically widely distributed and multi-owner resources to solve large-level application, usage of load balancing algorithms was important to keep maintaining the balance of workload between emerged infrastructures like grid. This replication generally referred as mechanism to improve availability and performance in distributed databases especially handling fragmented database replication becomes demanding issue. Intended in this paper we address various kinds of load balancing algorithms for the heterogeneous network like grid, especially Binary Vote Assignment Grid Quorum (BVAGQ) and to identify various metric and gaps between them. Many load balancing algorithms are already implemented which work against various issues like heterogeneity, scalability, etc. Different load balancing algorithms for the grid environment work on various metrics such as make span, time, average resource utilization rate, communication overhead, reliability, stability, and fault tolerance. However the aim is to find improved query response time and overall throughput as compared to other scheme.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Noraziah, A., Azila Che Fauzi, A., Zin, N.M., Herawan, T.: Binary vote assignment grid quorum for managing fragmented database. In: ICICA’12 Proceedings of the Third International Conference on Information Computing and Applications, pp. 584–591 (2012)

    Chapter  Google Scholar 

  2. Dong, B., Xiuqiao, L., Qimeng, W., Xiao, L., Ruan, L.: A dynamic and adaptive load balancing strategy for parallel file system with large-scale I/O servers. J. Parallel Distrib. Comput. 72(10), 1254–1268 (2012). (Elsevier)

    Article  Google Scholar 

  3. Sripanidkulchai, K., Sahu, S., Ruan, Y., Shaikh, A., Dorai, C.: Are clouds ready for large distributed applications. In: News (ed.) ACM SIGOPS Operating Systems Review, vol. 44, Issue 2, pp. 18–23. ACM, New York (2010)

    Article  Google Scholar 

  4. Dobber, M., Van Der Mei, R., Koole, G.: Dynamic load balancing and job replication in a global-scale grid environment: a comparison. IEEE Trans. Parallel Distrib. Syst. 20(2), 207–218 (2009)

    Article  Google Scholar 

  5. Yagoubi, B., Medebber, M.: A load balancing model for grid environment. In: 22nd International Symposium on Computer and information sciences, 2007. ISCIS 2007, pp. 1–7. IEEE, Ankara (2007)

    Google Scholar 

  6. Cao, J., Spooner, D.P., Jarvis, S.A., Saini, S., Nudd, G.R.: Agent-based grid load balancing using performance-driven task scheduling. In: Parallel and Distributed Processing Symposium, 2003. Proceedings. International, C&C Research Laboratories, NEC Europe Ltd., pp. 1–10. IEEE, Sankt Augustin, Germany (2003)

    Google Scholar 

  7. Shah, R., Veeravalli, B., Misra, M.: On the design of adaptive and decentralized load balancing algorithms with load estimation for computational grid environments. IEEE Trans. Parallel Distrib. Syst. 18(12), 1675–1686 (2007)

    Article  Google Scholar 

  8. Yajun, L., Yuhang, Y., Rongbo, Z.: A hybrid load balancing strategy of sequential tasks for computational grids. In: International Conference on Networking and Digital Society, 2009. ICNDS’09, pp. 112–117. IEEE, Guiyang, Guizhou (2009)

    Google Scholar 

  9. Azzon, I.A., Down, D.G.: Decentralized Load Balancing for Heterogeneous Grids. Department of Computing and Software. McMaster University, Perundurai, Erode, India, pp. 1–6 (2010)

    Google Scholar 

  10. Jasma, R.N.: A fault tolerance optimal neighbour load balancing. In: 2010 International Conference on Computational Intelligence and Communication Networks, pp. 428–433. IEEE Computer Society, Bhopal, India (2010)

    Google Scholar 

  11. Bindu, P.L.H., Venkatesan, R.: Perspective study on resource level load balancing in grid computing environments. In: 2011 3rd International Conference on Electronics Computer Technology (ICECT), vol. 6, pp. 321–325. IEEE Computer Society, Kanyakumari (2011)

    Google Scholar 

  12. Bote-Lorenzo, M., Dimitriadis, Y., Gómez-Sánchez, E.: Grid characteristics and uses: a grid definition. In: Grid Computing Lecture Notes in Computer Science, vol. 2970, pp. 291–298. Springer, Berlin, Santiago de Compostela, Spain (2004)

    Chapter  Google Scholar 

Download references

Acknowledgements

Appreciation conveyed to Ministry of Higher Education Malaysia for project financing under Fundamental Research Grant Scheme RDU140101, and University Malaysia Pahang Short Term Grant RDU120331 and GRS130334.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Ahmad Noraziah .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Fairuzullah, A., Noraziah, A., Arshah, R.A., Herawan, T. (2019). Optimize Performance Load Balancing Techniques Using Binary Vote Assignment Grid Quorum (BVAGQ): A Systematic Review. In: Abawajy, J., Othman, M., Ghazali, R., Deris, M., Mahdin, H., Herawan, T. (eds) Proceedings of the International Conference on Data Engineering 2015 (DaEng-2015) . Lecture Notes in Electrical Engineering, vol 520. Springer, Singapore. https://doi.org/10.1007/978-981-13-1799-6_4

Download citation

Publish with us

Policies and ethics