Skip to main content
SpringerLink
Log in

An Effective Solution for Application Orchestration

  • Conference paper
  • First Online:
International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019 (ATCI 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1017))

  • 71 Accesses

Abstract

Application orchestration technology has always been one of the research directions of Devops. The traditional application orchestration technology has some problems such as slow deployment and scaling speed. Therefore, this paper proposes a Docker-based hybrid cloud application orchestration scheme addresses these issues with traditional application orchestration techniques. The goal is to solve the problem of existing application orchestration techniques from the root by borrowing Docker’s quick-start feature and the universal characteristics of hybrid cloud technology. Firstly, this paper proposes a four-layer architecture including the base layer, core layer, gateway layer and interaction layer, and designs the application orchestration module, dynamic scaling module and system monitoring module in the core layer. Secondly, the implementation scheme is tested, and the experiment shows that the scheme shows good deployment speed, speed of expansion and high reliability.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
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. Zou, F.: Research on resource management and scheduling algorithm in hybrid cloud environment. Northeast Normal University (2013)

    Google Scholar 

  2. Li, H.: Research and implementation of private cloud computing platform based on OpenStack. Jiangxi Normal University (2013)

    Google Scholar 

  3. Felter, W., Ferreira, A., Rajamony, R., Rubio, J.: An updated performance comparison of virtual machines and Linux containers. J. Cloud Comput. 11 (2014)

    Google Scholar 

  4. Chadwick, D.W., Siu, K., Lee, C., Fouillat, Y., Germonville, D.: Adding federated identity management to openstack. J. Grid Comput. 12, 3–27 (2014)

    Article  Google Scholar 

  5. Liu, D.: Research on companion monitoring technology for large-scale distributed software systems. National University of Defense Technology (2011)

    Google Scholar 

  6. Zhang, Q.: Research and application of cloud computing platform monitoring system. Beijing Jiaotong University (2011)

    Google Scholar 

  7. Wang, F.: Design and implementation of Docker-based R&D deployment management platform. Beijing Jiaotong University (2015)

    Google Scholar 

  8. Butler, B.: Docker’s acquisition aims to improve application container management

    Google Scholar 

  9. Yegulalp, S.: Hypernetes unites Kubernetes, OpenStack for multitenant container management. InfoWorld.com (2015)

    Google Scholar 

  10. Kepes, B.: KubeCon and the growing importance of Kubernetes. Network World (Online) (2015)

    Google Scholar 

  11. Lackermair, G.: Hybrid cloud architectures for the online commerce. Procedia Comput. Sci. 3, 550–555 (2011)

    Article  Google Scholar 

Download references

Acknowledgements

The authors of this paper are members of Shanghai Engineering Research Center of Intelligent Video Surveillance. In part by National key research and development plan under Grant 2016YFC0801304.

Author information

Authors and Affiliations

  1. The Third Research Institute of Ministry of Public Security, BiSheng Road Number 339, Shanghai, Pudong, China

    YuXin Cai, YanFeng Shang, YiXian Tan, ZhiWei Tang & Bo Zhao

Authors
  1. YuXin Cai
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. YanFeng Shang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. YiXian Tan
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. ZhiWei Tang
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Bo Zhao
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to YuXin Cai .

Editor information

Editors and Affiliations

  1. Faculty of Science, Deakin University, Geelong, VIC, Australia

    Jemal H. Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. School of Computing and Mathematics, Charles Sturt University, Albury, NSW, Australia

    Rafiqul Islam

  4. Shanghai University, Shanghai, China

    Zheng Xu

  5. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Cai, Y., Shang, Y., Tan, Y., Tang, Z., Zhao, B. (2020). An Effective Solution for Application Orchestration. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Intelligence ATCI 2019. ATCI 2019. Advances in Intelligent Systems and Computing, vol 1017. Springer, Cham. https://doi.org/10.1007/978-3-030-25128-4_199

Download citation

Publish with us

Policies and ethics

Search

Navigation