Skip to main content
SpringerLink
Log in

A Decentralized System for Load Balancing of Containerized Microservices in the Cloud

  • Conference paper
  • First Online:
Advances in Systems Science (ICSS 2016)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 539))

Included in the following conference series:

Abstract

Microservice architecture is a cloud application design pattern which shifts the complexity away from the traditional monolithic application into the infrastructure. Each microservice is a small containerized application that has a single responsibility in terms of functional requirement, and that can be deployed, scaled and tested independently using automated orchestration systems. We propose a simple swarm-like decentralized load balancing system for microservices running inside OpenVZ containers. It can potentially offer performance improvements with respect to the existing centralized container orchestration systems.

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. Aversa, R., Di Martino, B., Rak, M., Venticinque, S.: Cloud agency: a mobile agent based cloud system. In: 2010 International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pp. 132–137. IEEE (2010)

    Google Scholar 

  2. Balalaie, A., Heydarnoori, A., Jamshidi, P.: Migrating to cloud-native architectures using microservices: an experience report. In: Celesti, A., Leitner, P. (eds.) ESOCC Workshops 2015. CCIS, vol. 567, pp. 201–215. Springer, Heidelberg (2016). doi:10.1007/978-3-319-33313-7_15

    Chapter  Google Scholar 

  3. Berman, S., Halász, A., Kumar, V., Pratt, S.: Bio-inspired group behaviors for the deployment of a swarm of robots to multiple destinations. In: 2007 IEEE International Conference on Robotics and Automation, pp. 2318–2323. IEEE (2007)

    Google Scholar 

  4. Brewer, E.A.: Kubernetes and the path to cloud native. In: Proceedings of the Sixth ACM Symposium on Cloud Computing, pp. 167–167. ACM (2015)

    Google Scholar 

  5. Calinciuc, A., Spoiala, C.C., Turcu, C.O., Filote, C.: Openstack and docker: building a high-performance iaas platform for interactive social media applications. In: 2016 International Conference on Development and Application Systems (DAS), pp. 287–290. IEEE (2016)

    Google Scholar 

  6. Chafle, G.B., Chandra, S., Mann, V., Nanda, M.G.: Decentralized orchestration of composite web services. In: Proceedings of the 13th International World Wide Web Conference on Alternate Track Papers & Posters, pp. 134–143. ACM (2004)

    Google Scholar 

  7. Cheah, C.C., Hou, S.P., Slotine, J.J.E.: Region-based shape control for a swarm of robots. Automatica 45(10), 2406–2411 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  8. Cheng, J., Cheng, W., Nagpal, R.: Robust and self-repairing formation control for swarms of mobile agents. In: AAAI, vol. 5, pp. 59–64 (2005)

    Google Scholar 

  9. Dorigo, M., Trianni, V., Şahin, E., Groß, R., Labella, T.H., Baldassarre, G., Nolfi, S., Deneubourg, J.L., Mondada, F., Floreano, D., et al.: Evolving self-organizing behaviors for a swarm-bot. Auton. Robots 17(2–3), 223–245 (2004)

    Article  Google Scholar 

  10. Ghodsi, A., Zaharia, M., Hindman, B., Konwinski, A., Shenker, S., Stoica, I.: Dominant resource fairness: fair allocation of multiple resource types. In: NSDI, vol. 11, p. 24 (2011)

    Google Scholar 

  11. Hacker, T.J., Romero, F., Nielsen, J.J.: Secure live migration of parallel applications using container-based virtual machines. Int. J. Space Based Situat. Comput. 12(1), 45–57 (2012)

    Article  Google Scholar 

  12. Haichun, N., Yong, L.: A mobile agent-based task seamless migration model for mobile cloud computing. In: 2014 IEEE Workshop on Advanced Research and Technology in Industry Applications (WARTIA), pp. 241–246. IEEE (2014)

    Google Scholar 

  13. Hindman, B., Konwinski, A., Zaharia, M., Ghodsi, A., Joseph, A.D., Katz, R.H., Shenker, S., Stoica, I.: Mesos: a platform for fine-grained resource sharing in the data center. In: NSDI, vol. 11, p. 22 (2011)

    Google Scholar 

  14. Kratzke, N.: About microservices, containers and their underestimated impact on network performance. In: Proceedings of CLOUD COMPUTING 2015 (2015)

    Google Scholar 

  15. Madhavapeddy, A., Scott, D.J.: Unikernels: rise of the virtual library operating system. Queue 11(11), 30 (2013)

    Google Scholar 

  16. Malavalli, D., Sathappan, S.: Scalable microservice based architecture for enabling DMTF profiles. In: 2015 11th International Conference on Network and Service Management (CNSM), pp. 428–432. IEEE (2015)

    Google Scholar 

  17. Mirkin, A., Kuznetsov, A., Kolyshkin, K.: Containers checkpointing and live migration. Proc. Linux Symp. 2, 85–90 (2008)

    Google Scholar 

  18. Namiot, D., Sneps-Sneppe, M.: On micro-services architecture. Int. J. Open Inf. Technol. 2(9), 39 (2014)

    Google Scholar 

  19. Pahl, C.: Containerisation and the paas cloud. IEEE Cloud Comput. 2(3), 24–31 (2015)

    Article  Google Scholar 

  20. Payton, D., Estkowski, R., Howard, M.: Progress in pheromone robotics. Intell. Auton. Syst. 7, 256–264 (2002)

    Google Scholar 

  21. Payton, D., Estkowski, R., Howard, M.: Compound behaviors in pheromone robotics. Robot. Auton. Syst. 44(3), 229–240 (2003)

    Article  Google Scholar 

  22. Pike, R., Presotto, D., Thompson, K., Trickey, H., Winterbottom, P.: The use of name spaces in plan 9. In: Proceedings of the 5th Workshop on ACM SIGOPS European Workshop: Models and Paradigms for Distributed Systems Structuring, pp. 1–5. ACM (1992)

    Google Scholar 

  23. Rusek, M., Dwornicki, G., Orłowski, A.: Swarm of mobile virtualization containers. In: Świątek, J., Borzemski, L., Grzech, A., Wilimowska, Z. (eds.) Information Systems Architecture and Technology: Proceedings of 36th International Conference on Information Systems Architecture and Technology – ISAT 2015 – Part III. AISC, vol. 431, pp. 75–85. Springer, Heidelberg (2016). doi:10.1007/978-3-319-28564-1_7

    Google Scholar 

  24. Savchenko, D., Radchenko, G., Taipale, O.: Microservices validation: mjolnirr platform case study. In: 2015 38th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO), pp. 235–240. IEEE (2015)

    Google Scholar 

  25. Scheepers, M.J.: Virtualization and containerization of application infrastructure: a comparison. In: 21st Twente Student Conference on IT, pp. 1–7 (2014)

    Google Scholar 

  26. Stubbs, J., Moreira, W., Dooley, R.: Distributed systems of microservices using docker and serfnode. In: 2015 7th International Workshop on Science Gateways (IWSG), pp. 34–39. IEEE (2015)

    Google Scholar 

  27. Thant, H.A., San, K.M., Tun, K.M.L., Naing, T.T., Thein, N.: Mobile agents based load balancing method for parallel applications. In: APSITT 2005 Proceedings. 6th Asia-Pacific Symposium on Information and Telecommunication Technologies, pp. 77–82. IEEE (2005)

    Google Scholar 

  28. Thönes, J.: Microservices. IEEE Softw. 32(1), 116 (2015)

    Article  Google Scholar 

  29. Zhao, M., Figueiredo, R.J.: Experimental study of virtual machine migration in support of reservation of cluster resources. In: Proceedings of the 2nd International Workshop on Virtualization Technology in Distributed Computing, p. 5. ACM (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Faculty of Applied Informatics and Mathematics, Warsaw University of Life Sciences, Nowoursynowska 166, 02–787, Warsaw, Poland

    Marian Rusek, Grzegorz Dwornicki & Arkadiusz Orłowski

Authors
  1. Marian Rusek
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Grzegorz Dwornicki
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Arkadiusz Orłowski
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Marian Rusek .

Editor information

Editors and Affiliations

  1. Wroclaw University of Science and Technology, Wroclaw, Poland

    Jerzy Świątek

  2. Wroclaw University of Science and Technology, Wroclaw, Poland

    Jakub M. Tomczak

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Rusek, M., Dwornicki, G., Orłowski, A. (2017). A Decentralized System for Load Balancing of Containerized Microservices in the Cloud. In: Świątek, J., Tomczak, J. (eds) Advances in Systems Science. ICSS 2016. Advances in Intelligent Systems and Computing, vol 539. Springer, Cham. https://doi.org/10.1007/978-3-319-48944-5_14

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-48944-5_14

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-48943-8

  • Online ISBN: 978-3-319-48944-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation