Skip to main content
Springer Nature Link
Log in

A Survey and Future Vision of Double Auctions-Based Autonomous Cloud Service Negotiations

  • Conference paper
  • First Online:
Save conference paper
View saved research
Recent Trends in Data Science and Soft Computing (IRICT 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 843))

Abstract

Double auction-based mechanisms have gained considerable attention as autonomous cloud service negotiation because it has been proven to be economically efficient and possesses the ability to accommodate multiple buyers and sellers. The main objective of this paper was to outline the limitations of the practically tested double auction mechanisms in cloud service negotiations; and subsequently suggest future vision. Ten practically proven double auction-based mechanisms have been surveyed from the research database, whereby most of them were found to employ the double auction protocol and two variations of the double auction protocol, namely continuous double auction and combinatorial double auction. Comparisons on the types, objectives, parameters, and results between the selected mechanisms are presented in this paper. Moreover, it was identified that the surveyed double auction mechanisms were unable to address multi-attributes heterogeneous cloud services because it required a long execution time. Nevertheless, future vision managed to be suggested to solve these issues.

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

Access this chapter

Log in via an institution

Subscribe and save

Springer+
from $39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Free shipping worldwide - view details

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

Explore related subjects

Discover the latest articles, books and news in related subjects, suggested using machine learning.

References

  1. Adnan, M.H., Hassan, M.F., Aziz, I.A.: Protocols for agent-based autonomous negotiations: a review. In: International Conference on Computer & Information Sciences

    Google Scholar 

  2. Wang, X., Wang, X., Che, H., Li, K., Huang, M., Gao, C.: An intelligent economic approach for dynamic resource allocation in cloud services. IEEE Trans. Cloud Comput. 3, 275–289 (2015)

    Article  Google Scholar 

  3. Dang, J., Huhns, M.N.: Concurrent multiple-issue negotiation for internet-based services. IEEE Internet Comput. 10, 42–49 (2006)

    Article  Google Scholar 

  4. Luecke, R.: Harvard business essentials: negotiation (2003)

    Google Scholar 

  5. Financier Worldwide. http://www.financierworldwide.com/negotiating-cloud-contracts/#.Vzv3J_l9600

  6. Hasan, M.H., Jaafar, J., Hassan, M.F.: Monitoring web services’ quality of service: a literature review. Artif. Intell. Rev. 1–16 (2014)

    Google Scholar 

  7. Lopes, F., Wooldridge, M., Novais, A.Q.: Negotiation among autonomous computational agents: principles, analysis and challenges. Artif. Intell. Rev. 29, 1–44 (2008)

    Article  Google Scholar 

  8. Aknine, S., Pinson, S., Shakun, M.: An extended multi-agent negotiation protocol. Auton. Agent. Multi Agent Syst. 8, 5–45 (2004)

    Article  Google Scholar 

  9. Di Nitto, E., Di Penta, M., Gambi, A., Ripa, G., Villani, M.: Negotiation of service level agreements: an architecture and a search-based approach. In: Krämer, B., Lin, K.-J., Narasimhan, P. (eds.) Service-Oriented Computing – ICSOC 2007, vol. 4749, pp. 295–306. Springer, Berlin (2007)

    Chapter  Google Scholar 

  10. Adnan, M.H., Hassan, M.F.: Dynamic pricing for cloud service negotiation. In: Control Theory and Its Application (CNTIA) 2015. MALTESAS (2016)

    Google Scholar 

  11. Ibrahim, N.M., Hassan, M.F., Shamsudin, A.F.: Intelligent-based translation model for cross = platform communications in distributed systems. Al-Qimah Al-Mudhafah J. Manag. Sci. 2 (2017)

    Google Scholar 

  12. Kumar, D., Baranwal, G., Raza, Z., Vidyarthi, D.P.: A systematic study of double auction mechanisms in cloud computing. J. Syst. Softw. 125, 234–255 (2017)

    Article  Google Scholar 

  13. Bichler, M.: A roadmap to auction-based negotiation protocols for electronic commerce. In: Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, vol. 11, pp. 10. IEEE (2000)

    Google Scholar 

  14. Kraus, S.: Automated negotiation and decision making in multiagent environments. In: Multi-agent Systems and Applications, pp. 150–172. Springer, Berlin (2001)

    Google Scholar 

  15. Li, B., Lau, H.C.: A Combinatorial Auction for Transportation Matching Service: Formulation and Adaptive Large Neighborhood Search Heuristic, pp. 127–142. Springer, Berlin (2017)

    MATH  Google Scholar 

  16. Wang, J., Liu, A., Yan, T., Zeng, Z.: A resource allocation model based on double-sided combinational auctions for transparent computing. Peer-to-Peer Netw. Appl. 11, 679–696 (2018)

    Article  Google Scholar 

  17. Li, H., Wu, C., Li, Z., Lau, F.: Virtual machine trading in a federation of clouds: individual profit and social welfare maximization (2013)

    Google Scholar 

  18. Wang, X., Wang, X., Wang, C.-L., Li, K., Huang, M.: Resource allocation in cloud environment: a model based on double multi-attribute auction mechanism. In: 2014 IEEE 6th International Conference on Cloud Computing Technology and Science (CloudCom), pp. 599–604. IEEE

    Google Scholar 

  19. Vytelingum, P., Cliff, D., Jennings, N.R.: Strategic bidding in continuous double auctions. Artif. Intell. 172, 1700–1729 (2008)

    Article  Google Scholar 

  20. Garg, S.K., Vecchiola, C., Buyya, R.: Mandi: a market exchange for trading utility and cloud computing services. J. Supercomput. 64, 1153–1174 (2013)

    Article  Google Scholar 

  21. Sun, D., Chang, G., Wang, C., Xiong, Y., Wang, X.: Efficient Nash equilibrium based cloud resource allocation by using a continuous double auction. In: 2010 International Conference on Computer Design and Applications (ICCDA), pp. V1-94–V91-99. IEEE (2011)

    Google Scholar 

  22. Shang, S., Jiang, J., Wu, Y., Yang, G., Zheng, W.: A knowledge-based continuous double auction model for cloud market. In: 2010 6th International Conference on Semantics Knowledge and Grid (SKG), pp. 129–134. IEEE (2010)

    Google Scholar 

  23. Lan, Y., Tong, W., Liu, Z., Hou, Y.: Multi-unit continuous double auction based resource allocation method. In: 2012 3rd International Conference on Intelligent Control and Information Processing (ICICIP), pp. 773–777. IEEE (2012)

    Google Scholar 

  24. Farajian, N., Ebrahim pour-komleh, H.: Parallel continuous double auction for service allocation in cloud computing. Comput. Eng. Appl. J. 133–142 (2015)

    Google Scholar 

  25. Shi, X., Xu, K., Liu, J., Wang, Y.: Continuous double auction mechanism and bidding strategies in cloud computing markets. arXiv preprint arXiv:1307.6066 (2013)

  26. Zaman, S., Grosu, D.: Combinatorial auction-based dynamic vm provisioning and allocation in clouds. In: 2011 IEEE 3rd International Conference on Cloud Computing Technology and Science (CloudCom), pp. 107–114. IEEE (2011)

    Google Scholar 

  27. Fujiwara, I., Aida, K., Ono, I.: Applying double-sided combinational auctions to resource allocation in cloud computing. In: 2010 10th IEEE/IPSJ International Symposium on Applications and the Internet (SAINT), pp. 7–14. IEEE (2010)

    Google Scholar 

  28. Rightscale: State of the Cloud Report (2016)

    Google Scholar 

  29. Saripalli, P., Pingali, G.: Madmac: Multiple attribute decision methodology for adoption of clouds. In: 2011 IEEE International Conference on Cloud Computing (CLOUD), pp. 316–323. IEEE (2011)

    Google Scholar 

  30. Lai, G., Li, C., Sycara, K., Giampapa, J.: Literature review on multi-attribute negotiations. Robotics Institute, Carnegie Mellon University, Pittsburgh, PA. Technical Report CMU-RI-TR-04-66 (2004)

    Google Scholar 

  31. Nassiri-Mofakham, F., Nematbakhsh, M.A., Baraani-Dastjerdi, A., Ghasem-Aghaee, N., Kowalczyk, R.: Bidding strategy for agents in multi-attribute combinatorial double auction. Expert Syst. Appl. 42, 3268–3295 (2015)

    Article  Google Scholar 

  32. José-García, A., Gómez-Flores, W.: Automatic clustering using nature-inspired metaheuristics: a survey. Appl. Soft Comput. 41, 192–213 (2016)

    Article  Google Scholar 

  33. Hsieh, F.-S.: A Discrete Particle Swarm Algorithm for Combinatorial Auctions, pp. 201–208. Springer, Berlin (2017)

    Google Scholar 

  34. Adnan, M.H., Husain, W., Rashid, N.A.A.: Hybrid approaches using decision tree, Naive Bayes, means and euclidean distances for childhood obesity prediction. Int. J. Softw. Eng. Appl. 6, 99–106 (2012)

    Google Scholar 

  35. Adnan, M.H.B.M., Husain, W., Rashid, N.A.: A hybrid approach using Naive Bayes and Genetic Algorithm for childhood obesity prediction. In: 2012 International Conference on Computer & Information Science (ICCIS), pp. 281–285 (2012)

    Google Scholar 

  36. Adnan, M.H., Husain, W., Rashid, N.A.: Implementation of hybrid Naive Bayesian-decision tree for childhood obesity predictions. Network 40, 84–87 (2018)

    Google Scholar 

Download references

Acknowledgements

The authors would like to thank the Centre for Research in Data Science (CeRDaS) of Universiti Teknologi PETRONAS, Ministry of Higher Education (MOHE) Malaysia (MyBrain15, Grants No: 0153AB-I27 and 0153AB-K47), POSTECH, South Korea (Grant No. 0153AB-M20) and Universiti Teknologi PETRONAS for supporting this study.

Author information

Authors and Affiliations

  1. Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Bandar Seri Iskandar, 31750, Tronoh, Perak, Malaysia

    Muhamad Hariz Adnan, Mohd Fadzil Hassan & Izzatdin Abdul Aziz

  2. Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Kingdom of Saudi Arabia

    Nuraini Abdul Rashid

Authors
  1. Muhamad Hariz Adnan
    View author publications

    Search author on:PubMed Google Scholar

  2. Mohd Fadzil Hassan
    View author publications

    Search author on:PubMed Google Scholar

  3. Izzatdin Abdul Aziz
    View author publications

    Search author on:PubMed Google Scholar

  4. Nuraini Abdul Rashid
    View author publications

    Search author on:PubMed Google Scholar

Corresponding author

Correspondence to Muhamad Hariz Adnan.

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Faisal Saeed

  2. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Nadhmi Gazem

  3. Information Technology Department, Faculty of Engineering and Information Technology, Taiz University, Taiz, Yemen

    Fathey Mohammed

  4. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Abdelsalam Busalim

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Adnan, M.H., Hassan, M.F., Aziz, I.A., Rashid, N.A. (2019). A Survey and Future Vision of Double Auctions-Based Autonomous Cloud Service Negotiations. In: Saeed, F., Gazem, N., Mohammed, F., Busalim, A. (eds) Recent Trends in Data Science and Soft Computing. IRICT 2018. Advances in Intelligent Systems and Computing, vol 843. Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_46

Download citation

Keywords

Publish with us

Policies and ethics