Skip to main content
SpringerLink
Log in

Location-Aware Cloud Service Brokering in Multi-cloud Environment

  • Conference paper
  • First Online:
Service-Oriented Computing – ICSOC 2022 Workshops (ICSOC 2022)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 13821))

Included in the following conference series:

  • 670 Accesses

Abstract

More and more enterprises are increasingly gaining technical and economic benefits from the global cloud marketplace.

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 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 199.99
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

References

  1. Chen, Y., Shi, T., Ma, H., Chen, G.: Automatically design heuristics for multi-objective location-aware service brokering in multi-cloud. In IEEE SCC, pp. 206–214 (2022)

    Google Scholar 

  2. Heilig, L., Buyya, R., Voß, S.: Location-aware brokering for consumers in multi-cloud computing environments. ACM JNCA 95, 79–93 (2017)

    Google Scholar 

  3. Poaka, V., Hartmann, S., Bochinski, M., Seggelke, N.: New architectural design of the runtime server for remote vehicle communication services. SAE Int. J. Connected Autom. Veh. 3, 19–26 (2020)

    Article  Google Scholar 

  4. Qu, C., Calheiros, R.N., Buyya, R.: Auto-scaling web applications in clouds: a taxonomy and survey. ACM CSUR 51, 1–33 (2018)

    Google Scholar 

  5. Sadeghiram, S., Ma, H., Chen, G.: A novel repair-based multi-objective algorithm for QoS-constrained distributed data-intensive web service composition. In: Huang, Z., Beek, W., Wang, H., Zhou, R., Zhang, Y. (eds.) WISE 2020. LNCS, vol. 12342. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-62005-9_35

    Chapter  Google Scholar 

  6. Sadeghiram, S., Ma, H., Chen, G.: Priority-based selection of individuals in memetic algorithms for distributed data-intensive web service compositions. IEEE TSC 15(5), 2939–2953 (2022)

    Google Scholar 

  7. Shi, T.: Location-aware application deployment in multi-cloud. PhD thesis, Victoria University of Wellington (2022)

    Google Scholar 

  8. Shi, T., Ma, H., Chen, G.: A genetic-based approach to location-aware cloud service brokering in multi-cloud environment. In IEEE SCC, pp. 146–153 (2019)

    Google Scholar 

  9. Shi, T., Ma, H., Chen, G.: A seeding-based GA for location-aware workflow deployment in multi-cloud environment. In IEEE CEC, pp. 3364–3371 (2019)

    Google Scholar 

  10. Shi, T., Ma, H., Chen, G.: Divide and conquer: seeding strategies for multi-objective multi-cloud composite applications deployment. In ACM GECCO Companion, pp. 317–318 (2020)

    Google Scholar 

  11. Shi, T., Ma, H., Chen, G.: Seeding-based multi-objective evolutionary algorithms for multi-cloud composite applications deployment. In: IEEE SCC, pp. 240–247. IEEE (2020)

    Google Scholar 

  12. Shi, T., Ma, H., Chen, G., Hartmann, S.: Location-aware and budget-constrained application replication and deployment in multi-cloud environment. In: IEEE ICWS, pp. 110–117 (2020)

    Google Scholar 

  13. Shi, T., Ma, H., Chen, G., Hartmann, S.: Location-aware and budget-constrained service deployment for composite applications in multi-cloud environment. IEEE TPDS 31, 1954–1969 (2020)

    Google Scholar 

  14. Shi, T., Ma, H., Chen, G., Hartmann, S.: Cost-effective web application replication and deployment in multi-cloud environment. IEEE TPDS 33, 1982–1995 (2021)

    Google Scholar 

  15. Shi, T., Ma, H., Chen, G., Hartmann, S.: Location-aware and budget-constrained service brokering in multi-cloud via deep reinforcement learning. In: Hacid, H., Kao, O., Mecella, M., Moha, N., Paik, H. (eds.) ICSOC 2021. LNCS, vol. 13121, pp. 756–764. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-91431-8_52

    Chapter  Google Scholar 

  16. Tan, B., Ma, H., Mei, Y., Zhang, M.: Evolutionary multi-objective optimization for web service location allocation problem. IEEE TSC 14, 458–471 (2021)

    Google Scholar 

  17. Ma, H., Schewe, K., Thalheim, B., Wang, Q.: A formal model for the interoperability of service clouds. SOCA 6, 1–17 (2012)

    Article  Google Scholar 

  18. Ma, H., Schewe, K., Wang, Q.: An abstract model for service provision, search and composition. In IEEE APCSC, pp. 95–102 (2009)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Qingdao Agricultural University, Qingdao, China

    Tao Shi

  2. Clausthal University of Technology, Clausthal-Zellerfeld, Germany

    Sven Hartmann

  3. Victoria University of Wellington, Wellington, New Zealand

    Gang Chen & Hui Ma

Authors
  1. Tao Shi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sven Hartmann
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Gang Chen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Hui Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Tao Shi .

Editor information

Editors and Affiliations

  1. University of Malaga, Málaga, Spain

    Javier Troya

  2. Politecnico di Milano, Milano, Italy

    Raffaela Mirandola

  3. University of Castilla-La Mancha, Albacete, Spain

    Elena Navarro

  4. University of the Republic, Montevideo, Uruguay

    Andrea Delgado

  5. University of Seville, Sevilla, Spain

    Sergio Segura

  6. University of Cádiz, Cádiz, Spain

    Guadalupe Ortiz

  7. Faculty of Informatics, Universita della Svizzera Italiana, Lugano, Switzerland

    Cesare Pautasso

  8. Karlsuhe Institute of Technology, Karlsruhe, Germany

    Christian Zirpins

  9. University of Seville, Seville, Spain

    Pablo Fernández

  10. ISA, Universidad de Sevilla, Sevilla, Spain

    Antonio Ruiz-Cortés

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Shi, T., Hartmann, S., Chen, G., Ma, H. (2023). Location-Aware Cloud Service Brokering in Multi-cloud Environment. In: Troya, J., et al. Service-Oriented Computing – ICSOC 2022 Workshops. ICSOC 2022. Lecture Notes in Computer Science, vol 13821. Springer, Cham. https://doi.org/10.1007/978-3-031-26507-5_42

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-26507-5_42

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-26506-8

  • Online ISBN: 978-3-031-26507-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation