Skip to main content

2022 | OriginalPaper | Buchkapitel

3. Challenges of Traditional Networks and Development of Programmable Networks

verfasst von : Fanglin Liu, Godfrey Kibalya, S. V. N. Santhosh Kumar, Peiying Zhang

Erschienen in: Software Defined Internet of Everything

Verlag: Springer International Publishing

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

The life cycle of a network system usually includes four stages: demand investigation, planning and design, deployment and implementation, and operation and maintenance. Based on this cycle, a huge network architecture has now been formed, which has played an important role in promoting economic and social development. However, with the vigorous rise of technologies such as big data, cloud computing, Internet of Things, and mobile Internet, Internet applications are becoming increasingly diversified and business volume is increasing. Therefore, the current network architecture is gradually unable to meet the demand, and the existing problems are becoming increasingly prominent. In general, the core problem is that there is a contradiction between the diverse and changeable network upper-layer applications and business requirements and the current stable and rigid traditional network architecture. In order to meet a specific application requirement, it usually needs to include a large number of hardware devices. However, a noteworthy problem is that network devices produced by different manufacturers usually require different ways to debug and configure. Therefore, in a network that mixes equipment from multiple different vendors, managing and deploying the network is a very big challenge. Moreover, the inability to perform intelligent flow control and visualized network status supervision based on network conditions is also a problem that hinders further development. Based on the above problems, software-defined networking (SDN) is a better solution. In general, SDN has the following three advantages: (1) SDN can change the tightly coupled architecture of applications and networks under traditional networks and improve the level of network resource pooling; (2) SDN networks can realize automatic network deployment and configuration, and support rapid business launch and flexible expansion; (3) By introducing programmable features, automated network services and protocol scheduling can be realized. However, the architecture still has some challenges worth considering, such as: (1) Challenges faced by interface/protocol standardization. At present, the control architecture system of the SDN centralized control concept is not unified, and it is difficult to achieve mutual operation due to the different degrees of vendors’ support for the SDN standard. (2) Security challenges. The core controller of the SDN network may have security problems such as excessive load, single point failure, and vulnerability to network attacks. Therefore, it is necessary to establish a reasonable mechanism to ensure the safe and stable operation of the entire system. (3) Challenges in performance. The existing ASIC chip architecture is based on the traditional IP or Ethernet addressing and forwarding design. Therefore, whether the equipment under the SDN architecture can maintain the theoretical high performance remains to be discussed. To sum up, this chapter will start from the analysis and comparison of the traditional network architecture and the SDN network architecture, summarize the problems in the traditional architecture and the necessity of the development of the SDN architecture, and further analyze the application scenarios and the existence of the SDN architecture challenge.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Literatur
1.
Zurück zum Zitat Aujla, G. S., & Kumar, N. (2018). SDN-based energy management scheme for sustainability of data centers: An analysis on renewable energy sources and electric vehicles participation. Journal of Parallel and Distributed Computing, 117, 228–245.CrossRef Aujla, G. S., & Kumar, N. (2018). SDN-based energy management scheme for sustainability of data centers: An analysis on renewable energy sources and electric vehicles participation. Journal of Parallel and Distributed Computing, 117, 228–245.CrossRef
2.
Zurück zum Zitat Aujla, G. S., Jindal, A., Kumar, N., & Singh, M. (2016). SDN-based data center energy management system using res and electric vehicles. In 2016 IEEE Global Communications Conference (GLOBECOM) (pp. 1–6). Aujla, G. S., Jindal, A., Kumar, N., & Singh, M. (2016). SDN-based data center energy management system using res and electric vehicles. In 2016 IEEE Global Communications Conference (GLOBECOM) (pp. 1–6).
3.
Zurück zum Zitat Aujla, G. S., Chaudhary, R., Kumar, N., Kumar, R., & Rodrigues, J. J. P. C. (2018). An ensembled scheme for QoS-aware traffic flow management in software defined networks. In 2018 IEEE International Conference on Communications (ICC) (pp. 1–7). IEEE. Aujla, G. S., Chaudhary, R., Kumar, N., Kumar, R., & Rodrigues, J. J. P. C. (2018). An ensembled scheme for QoS-aware traffic flow management in software defined networks. In 2018 IEEE International Conference on Communications (ICC) (pp. 1–7). IEEE.
4.
Zurück zum Zitat Aujla, G. S., Jindal, A., & Kumar, N. (2018). EVaaS: Electric vehicle-as-a-service for energy trading in SDN-enabled smart transportation system. Computer Networks, 143, 247–262.CrossRef Aujla, G. S., Jindal, A., & Kumar, N. (2018). EVaaS: Electric vehicle-as-a-service for energy trading in SDN-enabled smart transportation system. Computer Networks, 143, 247–262.CrossRef
5.
Zurück zum Zitat Aujla, G. S., Chaudhary, R., Kaur, K., Garg, S., Kumar, N., & Ranjan, R. (2018). SAFE: SDN-assisted framework for edge–cloud interplay in secure healthcare ecosystem. IEEE Transactions on Industrial Informatics, 15(1), 469-480.CrossRef Aujla, G. S., Chaudhary, R., Kaur, K., Garg, S., Kumar, N., & Ranjan, R. (2018). SAFE: SDN-assisted framework for edge–cloud interplay in secure healthcare ecosystem. IEEE Transactions on Industrial Informatics, 15(1), 469-480.CrossRef
6.
Zurück zum Zitat Aujla, G. S. S., Kumar, N., Garg, S., Kaur, K., & Ranjan, R. (2019). EDCSuS: Sustainable edge data centers as a service in SDN-enabled vehicular environment. IEEE Transactions on Sustainable Computing, 1–1. Aujla, G. S. S., Kumar, N., Garg, S., Kaur, K., & Ranjan, R. (2019). EDCSuS: Sustainable edge data centers as a service in SDN-enabled vehicular environment. IEEE Transactions on Sustainable Computing, 1–1.
7.
Zurück zum Zitat Aujla, G. S., Singh, A., & Kumar, N. (2020). Adaptflow: Adaptive flow forwarding scheme for software-defined industrial networks. IEEE Internet of Things Journal, 7(7), 5843–5851.CrossRef Aujla, G. S., Singh, A., & Kumar, N. (2020). Adaptflow: Adaptive flow forwarding scheme for software-defined industrial networks. IEEE Internet of Things Journal, 7(7), 5843–5851.CrossRef
8.
Zurück zum Zitat Aujla, G. S., Singh, A., Singh, M., Sharma, S., Kumar, N., & Choo, K. R. (2020). Blocked: Blockchain-based secure data processing framework in edge envisioned v2x environment. IEEE Transactions on Vehicular Technology, 69(6), 5850–5863.CrossRef Aujla, G. S., Singh, A., Singh, M., Sharma, S., Kumar, N., & Choo, K. R. (2020). Blocked: Blockchain-based secure data processing framework in edge envisioned v2x environment. IEEE Transactions on Vehicular Technology, 69(6), 5850–5863.CrossRef
9.
Zurück zum Zitat Aujla, G. S., Singh, M., Bose, A., Kumar, N., Han, G., & Buyya, R. (2020). Blocksdn: Blockchain-as-a-service for software defined networking in smart city applications. IEEE Network, 34(2), 83-91.CrossRef Aujla, G. S., Singh, M., Bose, A., Kumar, N., Han, G., & Buyya, R. (2020). Blocksdn: Blockchain-as-a-service for software defined networking in smart city applications. IEEE Network, 34(2), 83-91.CrossRef
10.
Zurück zum Zitat Budhiraja, I., Kumar, N., Tyagi, S., Tanwar, S., & Obaidat, M. S. (2020). URJA: Usage jammer as a resource allocation for secure transmission in a CR-NOMA-based 5g Femtocell system. IEEE Systems Journal, 1–10. Budhiraja, I., Kumar, N., Tyagi, S., Tanwar, S., & Obaidat, M. S. (2020). URJA: Usage jammer as a resource allocation for secure transmission in a CR-NOMA-based 5g Femtocell system. IEEE Systems Journal, 1–10.
11.
Zurück zum Zitat Garg, S., Singh, A., Aujla, G. S., Kaur, S., Batra, S., & Kumar, N. (2020). A probabilistic data structures-based anomaly detection scheme for software-defined internet of vehicles. IEEE Transactions on Intelligent Transportation Systems, 1–10. Garg, S., Singh, A., Aujla, G. S., Kaur, S., Batra, S., & Kumar, N. (2020). A probabilistic data structures-based anomaly detection scheme for software-defined internet of vehicles. IEEE Transactions on Intelligent Transportation Systems, 1–10.
12.
Zurück zum Zitat Kumar, N., & Kumar, M. (2015). Closely spacified wide dual-band microstrip band pass filter using coupled stepped-impedance resonators. In 2015 2nd International Conference on Electronics and Communication Systems (ICECS) (pp. 865–867). Kumar, N., & Kumar, M. (2015). Closely spacified wide dual-band microstrip band pass filter using coupled stepped-impedance resonators. In 2015 2nd International Conference on Electronics and Communication Systems (ICECS) (pp. 865–867).
13.
Zurück zum Zitat Kumar, N., & Tripathi, M. M. (2017). Evaluation of effectiveness of ANN for feature selection based electricity price forecasting. In 2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT) (pp. 1–5). Kumar, N., & Tripathi, M. M. (2017). Evaluation of effectiveness of ANN for feature selection based electricity price forecasting. In 2017 International Conference on Emerging Trends in Computing and Communication Technologies (ICETCCT) (pp. 1–5).
14.
Zurück zum Zitat Kumar, N., Chilamkurti, N., Zeadally, S., & Jeong, Y. (2014). Achieving quality of service (QoS) using resource allocation and adaptive scheduling in cloud computing with grid support. The Computer Journal, 57(2), 281–290.CrossRef Kumar, N., Chilamkurti, N., Zeadally, S., & Jeong, Y. (2014). Achieving quality of service (QoS) using resource allocation and adaptive scheduling in cloud computing with grid support. The Computer Journal, 57(2), 281–290.CrossRef
15.
Zurück zum Zitat Kumar, N., Vinoy, K. J., & Gopalakrishnan, S. (2018). Improved well-conditioned model order reduction method based on multilevel Krylov subspaces. IEEE Microwave and Wireless Components Letters, 28(12), 1065–1067.CrossRef Kumar, N., Vinoy, K. J., & Gopalakrishnan, S. (2018). Improved well-conditioned model order reduction method based on multilevel Krylov subspaces. IEEE Microwave and Wireless Components Letters, 28(12), 1065–1067.CrossRef
16.
Zurück zum Zitat Neeraj, N., Naresh, M., Yadav, A. K., & Mathew, L. (2019). Effect of statcom on integration of renewable energy generation with the main grid. In 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (vol. 1, pp. 1–5). Neeraj, N., Naresh, M., Yadav, A. K., & Mathew, L. (2019). Effect of statcom on integration of renewable energy generation with the main grid. In 2019 Innovations in Power and Advanced Computing Technologies (i-PACT) (vol. 1, pp. 1–5).
17.
Zurück zum Zitat Singh, A., Aujla, G. S., & Bali, R. S. (2020). Intent-based network for data dissemination in software-defined vehicular edge computing. IEEE Transactions on Intelligent Transportation Systems, 1–9. Singh, A., Aujla, G. S., & Bali, R. S. (2020). Intent-based network for data dissemination in software-defined vehicular edge computing. IEEE Transactions on Intelligent Transportation Systems, 1–9.
18.
Zurück zum Zitat Singh, A., Aujla, G. S., Singh Bali, R., Chahal, P. K., & Singh, M. (2020). A self organised workload classification and scheduling approach in IoT-edge-cloud ecosystem. In 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) (pp. 1–5). Singh, A., Aujla, G. S., Singh Bali, R., Chahal, P. K., & Singh, M. (2020). A self organised workload classification and scheduling approach in IoT-edge-cloud ecosystem. In 2020 IEEE 92nd Vehicular Technology Conference (VTC2020-Fall) (pp. 1–5).
19.
Zurück zum Zitat Singh, M., Aujla, G. S., & Bali, R. S. (2020). A deep learning-based blockchain mechanism for secure internet of drones environment. IEEE Transactions on Intelligent Transportation Systems, 1–10. Singh, M., Aujla, G. S., & Bali, R. S. (2020). A deep learning-based blockchain mechanism for secure internet of drones environment. IEEE Transactions on Intelligent Transportation Systems, 1–10.
20.
Zurück zum Zitat Singh, P., Kaur, A., Aujla, G. S., Batth, R. S., & Kanhere, S. (2020). Daas: Dew computing as a service for intelligent intrusion detection in edge-of-things ecosystem. IEEE Internet of Things Journal, 1–1. Singh, P., Kaur, A., Aujla, G. S., Batth, R. S., & Kanhere, S. (2020). Daas: Dew computing as a service for intelligent intrusion detection in edge-of-things ecosystem. IEEE Internet of Things Journal, 1–1.
22.
Zurück zum Zitat Sood, K., Karmakar, K. K., Varadharajan, V., Kumar, N., Xiang, Y., & Yu, S. (2021). Plug-in over plug-in (pop) evaluation in heterogeneous 5g enabled networks and beyond. IEEE Network, 1–7. Sood, K., Karmakar, K. K., Varadharajan, V., Kumar, N., Xiang, Y., & Yu, S. (2021). Plug-in over plug-in (pop) evaluation in heterogeneous 5g enabled networks and beyond. IEEE Network, 1–7.
23.
Zurück zum Zitat Vangala, A., Bera, B., Saha, S., Das, A. K., Kumar, N., & Park, Y. H. (2020). Blockchain-enabled certificate-based authentication for vehicle accident detection and notification in intelligent transportation systems. IEEE Sensors Journal, 1–1. Vangala, A., Bera, B., Saha, S., Das, A. K., Kumar, N., & Park, Y. H. (2020). Blockchain-enabled certificate-based authentication for vehicle accident detection and notification in intelligent transportation systems. IEEE Sensors Journal, 1–1.
24.
Zurück zum Zitat Vangala, A., Das, A. K., Kumar, N., & Alazab, M. (2020). Smart secure sensing for IoT-based agriculture: Blockchain perspective. IEEE Sensors Journal, 1–1. Vangala, A., Das, A. K., Kumar, N., & Alazab, M. (2020). Smart secure sensing for IoT-based agriculture: Blockchain perspective. IEEE Sensors Journal, 1–1.
25.
Zurück zum Zitat Verma, G. K., Kumar, N., Gope, P., Singh, B. B., & Singh, H. (2021). Scbs: A short certificate-based signature scheme with efficient aggregation for industrial internet of things environment. IEEE Internet of Things Journal, 1–1. Verma, G. K., Kumar, N., Gope, P., Singh, B. B., & Singh, H. (2021). Scbs: A short certificate-based signature scheme with efficient aggregation for industrial internet of things environment. IEEE Internet of Things Journal, 1–1.
26.
Zurück zum Zitat Wen, Z., Garg, S., Aujla, G. S. S., Alwasel, K., Puthal, D., Dustdar, S., Zomaya, A. Y., & Rajan, R. (2020). Running industrial workflow applications in a software-defined multi-cloud environment using green energy aware scheduling algorithm. IEEE Transactions on Industrial Informatics, 1–1. Wen, Z., Garg, S., Aujla, G. S. S., Alwasel, K., Puthal, D., Dustdar, S., Zomaya, A. Y., & Rajan, R. (2020). Running industrial workflow applications in a software-defined multi-cloud environment using green energy aware scheduling algorithm. IEEE Transactions on Industrial Informatics, 1–1.
27.
Zurück zum Zitat Zhang, P., Zhang, Z., & Zhang, W. (2013). An approach of semantic similarity by combining HowNet and Cilin. In 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing (pp. 1638–1643). Zhang, P., Zhang, Z., & Zhang, W. (2013). An approach of semantic similarity by combining HowNet and Cilin. In 2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical and Social Computing (pp. 1638–1643).
28.
Zurück zum Zitat Zhang, P., Yao, H., & Liu, Y. (2016). Virtual network embedding based on the degree and clustering coefficient information. IEEE Access, 4, 8572–8580.CrossRef Zhang, P., Yao, H., & Liu, Y. (2016). Virtual network embedding based on the degree and clustering coefficient information. IEEE Access, 4, 8572–8580.CrossRef
29.
Zurück zum Zitat Zhang, P., Wu, S., Wang, M., Yao, H., & Liu, Y. (2018). Topology based reliable virtual network embedding from a QoE perspective. China Communications, 15(10), 38–50.CrossRef Zhang, P., Wu, S., Wang, M., Yao, H., & Liu, Y. (2018). Topology based reliable virtual network embedding from a QoE perspective. China Communications, 15(10), 38–50.CrossRef
30.
Zurück zum Zitat Zhang, P., Yao, H., & Liu, Y. (2018). Virtual network embedding based on computing, network, and storage resource constraints. IEEE Internet of Things Journal, 5(5), 3298–3304.CrossRef Zhang, P., Yao, H., & Liu, Y. (2018). Virtual network embedding based on computing, network, and storage resource constraints. IEEE Internet of Things Journal, 5(5), 3298–3304.CrossRef
31.
Zurück zum Zitat Zhang, P., Huang, X., & Li, M. (2019). Disease prediction and early intervention system based on symptom similarity analysis. IEEE Access, 7, 176484–176494.CrossRef Zhang, P., Huang, X., & Li, M. (2019). Disease prediction and early intervention system based on symptom similarity analysis. IEEE Access, 7, 176484–176494.CrossRef
32.
Zurück zum Zitat Zhang, P., Hong, Y., Pang, X., & Jiang, C. (2020). VNE-HPSO: Virtual network embedding algorithm based on hybrid particle swarm optimization. IEEE Access, 8, 213389–213400.CrossRef Zhang, P., Hong, Y., Pang, X., & Jiang, C. (2020). VNE-HPSO: Virtual network embedding algorithm based on hybrid particle swarm optimization. IEEE Access, 8, 213389–213400.CrossRef
33.
Zurück zum Zitat Zhang, P., Li, C., & Wang, C. (2020). Smarttext: Learning to generate harmonious textual layout over natural image. In 2020 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1–6). Zhang, P., Li, C., & Wang, C. (2020). Smarttext: Learning to generate harmonious textual layout over natural image. In 2020 IEEE International Conference on Multimedia and Expo (ICME) (pp. 1–6).
34.
Zurück zum Zitat Zhang, P., Pang, X., Bi, Y., Yao, H., Pan, H., & Kumar, N. (2020). Dscd: Delay sensitive cross-domain virtual network embedding algorithm. IEEE Transactions on Network Science and Engineering, 7(4), 2913–2925.CrossRef Zhang, P., Pang, X., Bi, Y., Yao, H., Pan, H., & Kumar, N. (2020). Dscd: Delay sensitive cross-domain virtual network embedding algorithm. IEEE Transactions on Network Science and Engineering, 7(4), 2913–2925.CrossRef
35.
Zurück zum Zitat Zhang, P., Pang, X., Kumar, N., Aujla, G. S., & Cao, H. (2020). A reliable data-transmission mechanism using blockchain in edge computing scenarios. IEEE Internet of Things Journal, 1–1. Zhang, P., Pang, X., Kumar, N., Aujla, G. S., & Cao, H. (2020). A reliable data-transmission mechanism using blockchain in edge computing scenarios. IEEE Internet of Things Journal, 1–1.
36.
Zurück zum Zitat Zhang, P., Wang, C., Aujla, G. S., Kumar, N., & Guizani, M. (2020). IoV scenario: Implementation of a bandwidth aware algorithm in wireless network communication mode. IEEE Transactions on Vehicular Technology, 69(12), 15774–15785.CrossRef Zhang, P., Wang, C., Aujla, G. S., Kumar, N., & Guizani, M. (2020). IoV scenario: Implementation of a bandwidth aware algorithm in wireless network communication mode. IEEE Transactions on Vehicular Technology, 69(12), 15774–15785.CrossRef
37.
Zurück zum Zitat Zhang, P., Wang, C., Aujla, G. S., & Pang, X. (2020). A node probability-based reinforcement learning framework for virtual network embedding. In 2020 IEEE 21st International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM) (pp. 421–426). Zhang, P., Wang, C., Aujla, G. S., & Pang, X. (2020). A node probability-based reinforcement learning framework for virtual network embedding. In 2020 IEEE 21st International Symposium on “A World of Wireless, Mobile and Multimedia Networks” (WoWMoM) (pp. 421–426).
38.
Zurück zum Zitat Zhang, P., Wang, C., Jiang, C., & Benslimane, A. (2020). Security-aware virtual network embedding algorithm based on reinforcement learning. IEEE Transactions on Network Science and Engineering, 1–1. Zhang, P., Wang, C., Jiang, C., & Benslimane, A. (2020). Security-aware virtual network embedding algorithm based on reinforcement learning. IEEE Transactions on Network Science and Engineering, 1–1.
39.
Zurück zum Zitat Zhang, P., Huang, X., Wang, Y., Jiang, C., He, S., & Wang, H. (2021). Semantic similarity computing model based on multi model fine-grained nonlinear fusion. IEEE Access, 9, 8433–8443.CrossRef Zhang, P., Huang, X., Wang, Y., Jiang, C., He, S., & Wang, H. (2021). Semantic similarity computing model based on multi model fine-grained nonlinear fusion. IEEE Access, 9, 8433–8443.CrossRef
40.
Zurück zum Zitat Zhang, P., Jiang, C., Pang, X., & Qian, Y. (2021). Stec-IoT: A security tactic by virtualizing edge computing on IoT. IEEE Internet of Things Journal, 8(4), 2459–2467.CrossRef Zhang, P., Jiang, C., Pang, X., & Qian, Y. (2021). Stec-IoT: A security tactic by virtualizing edge computing on IoT. IEEE Internet of Things Journal, 8(4), 2459–2467.CrossRef
41.
Zurück zum Zitat Zhang, P., Li, C., & Wang, C. (2021). Viscode: Embedding information in visualization images using encoder-decoder network. IEEE Transactions on Visualization and Computer Graphics, 27(2), 326–336.CrossRef Zhang, P., Li, C., & Wang, C. (2021). Viscode: Embedding information in visualization images using encoder-decoder network. IEEE Transactions on Visualization and Computer Graphics, 27(2), 326–336.CrossRef
Metadaten
Titel
Challenges of Traditional Networks and Development of Programmable Networks
verfasst von
Fanglin Liu
Godfrey Kibalya
S. V. N. Santhosh Kumar
Peiying Zhang
Copyright-Jahr
2022
DOI
https://doi.org/10.1007/978-3-030-89328-6_3