Skip to main content
Top

2021 | OriginalPaper | Chapter

Data Aggregation Aware Routing for Distributed Training

Authors : Zhaohong Chen, Xin Long, Yalan Wu, Long Chen, Jigang Wu, Shuangyin Liu

Published in: Parallel and Distributed Computing, Applications and Technologies

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

For distributed training, the communication overhead for parameter synchronization is heavy in the network. Data aggregation can efficiently alleviate network overheads. However, existing works on data aggregation are based on the streaming message data, which can not well adapt to the discrete communication for parameter synchronization. This paper formulates a data aggregation aware routing problem, with the objective of minimizing training finishing time for global model under the constraint of cache capacity. The problem is formulated as a mixed-integer non-linear programming problem, and it is proved to be NP-Hard. Then we propose a data aggregation aware routing algorithm to solve the formulated problem, by transmitting the data to the closest aggregation node in greedy to reduce the network overhead. Simulation results show that, the proposed algorithm can reduce average training finishing time by \(74\%\), and it can reduce the network overhead by \(33\%\) on average, compared with the shortest path algorithm.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Rahman, H., Ahmed, N., Hussain, M.I.: A qos-aware hybrid data aggregation scheme for internet of things. Ann. Telecommun. 73(7), 475–486 (2018)CrossRef Rahman, H., Ahmed, N., Hussain, M.I.: A qos-aware hybrid data aggregation scheme for internet of things. Ann. Telecommun. 73(7), 475–486 (2018)CrossRef
2.
go back to reference Redondi, A.E., Cesana, M., Fratta, L., Capone, A., Borgonovo, F.: A prediction-based approach for features aggregation in visual sensor networks. Ad Hoc Netw. 83(1), 55–67 (2019)CrossRef Redondi, A.E., Cesana, M., Fratta, L., Capone, A., Borgonovo, F.: A prediction-based approach for features aggregation in visual sensor networks. Ad Hoc Netw. 83(1), 55–67 (2019)CrossRef
3.
go back to reference Cui, J., Boussetta, K., Valois, F.: Classification of data aggregation functions in wireless sensor networks. Comput. Netw. 178(1), 1–46 (2020) Cui, J., Boussetta, K., Valois, F.: Classification of data aggregation functions in wireless sensor networks. Comput. Netw. 178(1), 1–46 (2020)
4.
go back to reference Chen, C.C.Y., Das, S.K.: Breadth-first traversal of trees and integer sorting in parallel. Inf. Process. Lett. 41(1), 39–49 (1992)MathSciNetCrossRef Chen, C.C.Y., Das, S.K.: Breadth-first traversal of trees and integer sorting in parallel. Inf. Process. Lett. 41(1), 39–49 (1992)MathSciNetCrossRef
7.
go back to reference Yang, S., Li, F., Trajanovski, S., Chen, X., Wang, Y., Fu, X.: Delay-aware virtual network function placement and routing in edge clouds. IEEE Trans. Mob. Comput. 1–14 (2019) Yang, S., Li, F., Trajanovski, S., Chen, X., Wang, Y., Fu, X.: Delay-aware virtual network function placement and routing in edge clouds. IEEE Trans. Mob. Comput. 1–14 (2019)
8.
go back to reference Li, C., Tang, J., Tang, H., Luo, Y.: Collaborative cache allocation and task scheduling for data-intensive applications in edge computing environment. Future Gener. Comput. Syst. 95, 249–264 (2019)CrossRef Li, C., Tang, J., Tang, H., Luo, Y.: Collaborative cache allocation and task scheduling for data-intensive applications in edge computing environment. Future Gener. Comput. Syst. 95, 249–264 (2019)CrossRef
9.
go back to reference Szegedy, C., et al.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–9. IEEE (2015) Szegedy, C., et al.: Going deeper with convolutions. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 1–9. IEEE (2015)
10.
go back to reference Qassim, H., Verma, A., Feinzimer, D.: Compressed residual-VGG16 CNN model for big data places image recognition. In: IEEE Annual Computing and Communication Workshop and Conference, pp. 169–175. IEEE (2018) Qassim, H., Verma, A., Feinzimer, D.: Compressed residual-VGG16 CNN model for big data places image recognition. In: IEEE Annual Computing and Communication Workshop and Conference, pp. 169–175. IEEE (2018)
11.
go back to reference Howard, A.G., et al.: Mobilenets: efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:1704.04861, 1–9 (2017) Howard, A.G., et al.: Mobilenets: efficient convolutional neural networks for mobile vision applications. arXiv preprint arXiv:​1704.​04861, 1–9 (2017)
12.
go back to reference Zhang, X., Zhou, X., Lin, M., Sun, J.: Shufflenet: an extremely efficient convolutional neural network for mobile devices. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6848–6856. IEEE (2018) Zhang, X., Zhou, X., Lin, M., Sun, J.: Shufflenet: an extremely efficient convolutional neural network for mobile devices. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 6848–6856. IEEE (2018)
13.
go back to reference Garcia-Luna-Aceves, J.J.: A distributed, loop-free, shortest-path routing algorithm. In: Proceedings of the IEEE Conference on Computer Communications, pp. 1125–1137. IEEE (1988) Garcia-Luna-Aceves, J.J.: A distributed, loop-free, shortest-path routing algorithm. In: Proceedings of the IEEE Conference on Computer Communications, pp. 1125–1137. IEEE (1988)
Metadata
Title
Data Aggregation Aware Routing for Distributed Training
Authors
Zhaohong Chen
Xin Long
Yalan Wu
Long Chen
Jigang Wu
Shuangyin Liu
Copyright Year
2021
DOI
https://doi.org/10.1007/978-3-030-69244-5_21

Premium Partner