Skip to main content
SpringerLink
Log in

A Survey of Job Scheduling in Grids

  • Conference paper
Advances in Data and Web Management (APWeb 2007, WAIM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4505))

Abstract

The problem of optimally scheduling tasks onto heterogeneous resources in grids, minimizing the makespan of these tasks, has proved to be NP-complete. There is no best scheduling algorithm for all grid computing systems. An alternative is to select an appropriate scheduling algorithm to use in a given grid environment because of the characteristics of the tasks, machines and network connectivity. In this paper a survey is presented on the problem and the different aspects of job scheduling in grids such as (a) fault-tolerance; (b) security; and (c) simulation of grid job scheduling strategies are discussed. This paper also presents a discussion on the future research topics and the challenges of job scheduling in grids.

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

Access this chapter

Log in via an institution
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. Foster, I., Kesselman, C., Tuecke, S.: The anatomy of the grid: Enabling scalable virtual organizations. International Journal of High Performance Computing Applications 15(3), 200–222 (2001)

    Article  Google Scholar 

  2. Ibarra, O.H., Kim, C.E.: Heuristic algorithms for scheduling independent tasks on nonidentical processors. Journal of Association of Computing Machine 24(2), 280–289 (1977)

    MATH  MathSciNet  Google Scholar 

  3. Braun, T.D., Siegel, H.J., Beck, N., Boloni, L.L., Maheswaran, M., Reuther, A.I., Robertson, J.P., Theys, M.D., Yao, B.: A Comparison of Eleven Static Heuristics for Mapping a Class of Independent Tasks onto Heterogeneous Distributed Computing Systems. Journal of Parallel and Distributed Computing 61(6), 810–837 (2001)

    Article  Google Scholar 

  4. Kwok, Y.K., Maciejewski, A.A., Siegel, H.J., Ahmad, I., Ghafoor, A.: A semi-static approach to mapping dynamic iterative tasks onto heterogeneous computing system. Journal of Parallel and Distributed Computing 66, 77–98 (2006)

    MATH  Google Scholar 

  5. Dogana, A., Özgüner, F.: Scheduling of a meta-task with QoS requirements in heterogeneous computing systems. Journal of Parallel and Distributed Computing 66(2), 181–196 (2006)

    Article  Google Scholar 

  6. Song, S., Hwang, K., Kwok, Y.K.: Risk-Resilient Heuristics and Genetic Algorithms for Security-Assured Grid Job scheduling. IEEE Transactions on Computers 55(6), 703–719 (2006)

    Article  Google Scholar 

  7. Hamscher, V., Schwiegelshohn, U., Streit, A., Yahyapour, R.: Evaluation of job-scheduling strategies for grid computing. In: Buyya, R., Baker, M. (eds.) GRID 2000. LNCS, vol. 1971, pp. 191–202. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  8. Legrand, A., Quinson, M., Casanova, H., Fujiwara, K.: The SlMGRlD project simulation and deployment of distributed applications. In: Proceedings of 15th IEEE International Symposium on High Performance Distributed Computing (HPDC06), pp. 385–386 (2006)

    Google Scholar 

  9. Fujimoto, N., Hagihara, K.: Near-Optimal Dynamic Task Scheduling of Independent Coarse-Grained Tasks onto a Computational Grid. In: Proceedings of International Conference on Parallel Processing (ICPP2003), pp. 391–398 (2003)

    Google Scholar 

  10. Abawajy, J.H.: Fault-Tolerant Dynamic Job Scheduling Policy. In: Hobbs, M., Goscinski, A.M., Zhou, W. (eds.) ICA3PP 2005. LNCS, vol. 3719, pp. 165–173. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  11. Kaya, K., Aykanat, C.: Iterative-improvement-based heuristics for adaptive scheduling of tasks sharing files on heterogeneous master–slave platforms. IEEE Transactions on Parallel and Distributed Systems 17(8), 883–896 (2006)

    Article  Google Scholar 

  12. Shivle, S., Siegel, H.J., et al.: Static allocation of resources to communicating subtasks in a heterogeneous ad hoc grid environment. Journal of Parallel and Distributed Computing 66, 600–611 (2006)

    Article  MATH  Google Scholar 

  13. Wolski, R.: Forecasting network performance to support dynamic scheduling using the Network Weather Service. In: Proceedings of the 6th IEEE International Symposium on High Performance Distributed Computing (HPDC97), pp. 316–325 (1997)

    Google Scholar 

  14. Schopf, J.M., D’Arcy, M., Miller, N., et al.: Monitoring and Discovery in a Web Services Framework: Functionality and Performance of the Globus Toolkit’s MDS4, Available at http://www-unix.mcs.anl.gov/~schopf/Pubs/mds-sc05.pdf

  15. Thomas, N.: Modeling job allocation where service duration is unknown. In: Proceedings of 20th IEEE International Parallel and Distributed Processing Symposium, IPDPS’06 (2006)

    Google Scholar 

  16. Ernemann, C., Hamscher, V., Schwiegelshohn, U., Yahyapour, R., Streit, A.: On advantages of grid computing for parallel job scheduling. In: Proceedings of 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID 2002), pp. 39–46 (2002)

    Google Scholar 

  17. Beaumont, O., Carter, L., Ferrante, J., et al.: Centralized versus distributed schedulers for multiple bag-of-task applications. In: Proceedings of 20th IEEE International Parallel and Distributed Processing Symposium, IPDPS’06 (2006)

    Google Scholar 

  18. Buyya, R., Abramson, D., Venugopal, S.: The Grid Economy. Proceedings of the IEEE 93(3), 698–714 (2005)

    Article  Google Scholar 

  19. Hwang, S., Kesselman, C.: A Flexible Framework for Fault Tolerance in the Grid. Journal of Grid Computing 1(3), 251–272 (2003)

    Article  MATH  Google Scholar 

  20. Jones, P.L., Harrison, A.: The application of knowledge-based techniques to the monitoring of computers in a large heterogeneous distributed environment. Knowledge-Based Systems 19(7), 565–575 (2006)

    Article  Google Scholar 

  21. Thomas, N., Bradley, J.T., Knottenbelt, W.J.: Stochastic analysis of scheduling strategies in a Grid-based resource model. IEE Proceedings: Software 151(5), 232–239 (2004)

    Article  Google Scholar 

  22. Arenas, A.: State of the art survey on trust and security in Grid computing systems. Technical Report (RAL-TR-2006-008), CCLRC (2006)

    Google Scholar 

  23. Song, S., Hwang, K.: Trusted grid computing with security assurance and resource optimization. In: Proceedings of ISCA 17th International Conference on Parallel and Distributed Computing Systems (ISCA PDCS04), pp. 110–117 (2004)

    Google Scholar 

  24. Song, S., Hwang, K., Kwok, Y.K.: Trusted grid computing with security binding and trust integration. Journal of Grid Computing 3(1), 53–73 (2005)

    Article  Google Scholar 

  25. Hwang, K., Kwok, Y.-K., Song, S., Chen, M.C.Y., Chen, Y., Zhou, R., Lou, X.: GridSec: Trusted Grid Computing with Security Binding and Self-defense Against Network Worms and DDoS Attacks. In: Sunderam, V.S., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds.) ICCS 2005. LNCS, vol. 3516, pp. 187–195. Springer, Heidelberg (2005)

    Google Scholar 

  26. Power, D.J., Politou, E.A., Slaymaker, M.A., et al.: Securing web services for deployment in health grids. Future Generation Computer Systems 22, 547–570 (2006)

    Article  Google Scholar 

  27. Zanikolas, S., Sakellariou, R.: Application-Level Simulation Modeling of Large Grids. In: Proceedings of 5th International Symposium on Cluster Computing and Grid (CCGrid’05), pp. 582–589 (2005)

    Google Scholar 

  28. Bolosky, W.J., Douceur, J.R., Ely, D., et al.: Feasibility of a Serverless Distributed File System Deployed on an Existing Set of Desktop PCs. ACM SIGMETRICS Performance Evaluation Review (Special issue on proceedings of ACM SIGMETRICS 2000) 28(1), 34–43 (2000)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Engineering Computing and Simulation Institute, Huazhong University of Science and Technology, Wuhan 430074, China

    Congfeng Jiang, Cheng Wang, Xiaohu Liu & Yinghui Zhao

Authors
  1. Congfeng Jiang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Cheng Wang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xiaohu Liu
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Yinghui Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Guozhu Dong Xuemin Lin Wei Wang Yun Yang Jeffrey Xu Yu

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer Berlin Heidelberg

About this paper

Cite this paper

Jiang, C., Wang, C., Liu, X., Zhao, Y. (2007). A Survey of Job Scheduling in Grids. In: Dong, G., Lin, X., Wang, W., Yang, Y., Yu, J.X. (eds) Advances in Data and Web Management. APWeb WAIM 2007 2007. Lecture Notes in Computer Science, vol 4505. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72524-4_44

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-72524-4_44

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72483-4

  • Online ISBN: 978-3-540-72524-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation