Skip to main content

2021 | OriginalPaper | Buchkapitel

Research on Software Defined Programmable Strategy of Fireworks Model Oriented to Edge Computing Nodes

verfasst von : Yi-Qin Bao, Hao Zheng

Erschienen in: Advances in Artificial Intelligence and Security

Verlag: Springer International Publishing

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

search-config
loading …

Abstract

In cloud computing, since the program only runs in the cloud, it can be written in a programming language and compiled in a specific target platform. Due to the heterogeneous nature of the edge node platform, many tasks are migrated from the cloud to the edge terminal. So it is not easy to realize the edge computing programming, and the maintenance cost is also high. In order to solve this problem, this paper designs a set of software definable programming strategy through Hypertext Marked Language (HTML) format (independent of the operating system) file, and realizes the programming of the fireworks node of Internet of things (IoT) gateway under the edge computing, which is applied in the remote automatic monitoring system. Compared with the same system under the cloud computing, it is convenient for the user's programming, enhances the real-time performance, and greatly. It reduces the communication data flow, saves the data transmission cost, relieves the overall pressure of the system, and reduces the power consumption due to data transmission data storage.

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 Dean, J., Ghemawat, S.: Mapreduce: simplifified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)CrossRef Dean, J., Ghemawat, S.: Mapreduce: simplifified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)CrossRef
2.
Zurück zum Zitat Isard, M., Budiu, M., Yu, Y., Birrell, A., Fetterly, D.: Dryad: distributed data-parallel programs from sequential building blocks. ACM SIGOPS Oper. Syst. Rev. 41(3), 59–72 (2007) Isard, M., Budiu, M., Yu, Y., Birrell, A., Fetterly, D.: Dryad: distributed data-parallel programs from sequential building blocks. ACM SIGOPS Oper. Syst. Rev. 41(3), 59–72 (2007)
3.
Zurück zum Zitat Saha, B., Shah, H., Seth, S., Vijayaraghavan, G., Murthy, A., Curino, C.: Apache tez: a unifying framework for modeling and building data processing applications. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 1357–1369. ACM (2015) Saha, B., Shah, H., Seth, S., Vijayaraghavan, G., Murthy, A., Curino, C.: Apache tez: a unifying framework for modeling and building data processing applications. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 1357–1369. ACM (2015)
4.
Zurück zum Zitat Zaharia, M., Chowdhury, M., Franklin, M.J., Shenker, S., Stoica, I.: Spark: cluster computing with working sets. In: Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing, vol. 10, p. 10 (2010) Zaharia, M., Chowdhury, M., Franklin, M.J., Shenker, S., Stoica, I.: Spark: cluster computing with working sets. In: Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing, vol. 10, p. 10 (2010)
5.
Zurück zum Zitat Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The hadoop distributed fifile system. In: 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp. 1–10. IEEE (2010) Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The hadoop distributed fifile system. In: 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp. 1–10. IEEE (2010)
6.
Zurück zum Zitat Qian, Z., et al.: Timestream: reliable stream computation in the cloud. In: Proceedings of the 8th ACM European Conference on Computer Systems, pp. 1–14. ACM (2013) Qian, Z., et al.: Timestream: reliable stream computation in the cloud. In: Proceedings of the 8th ACM European Conference on Computer Systems, pp. 1–14. ACM (2013)
7.
Zurück zum Zitat Akidau, T., et al.: Millwheel: fault tolerant stream processing at internet scale. Proc. VLDB Endowment 6(11), 1033–1044 (2013)CrossRef Akidau, T., et al.: Millwheel: fault tolerant stream processing at internet scale. Proc. VLDB Endowment 6(11), 1033–1044 (2013)CrossRef
9.
Zurück zum Zitat Neumeyer, B., Robbins, A.N., Kesari, A.: S4: distributed stream computing platform. In: 2010 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 170–177. IEEE (2010) Neumeyer, B., Robbins, A.N., Kesari, A.: S4: distributed stream computing platform. In: 2010 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 170–177. IEEE (2010)
10.
Zurück zum Zitat Kulkarni, S., et al.: Twitter heron: stream processing at scale. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 239–250. ACM (2015) Kulkarni, S., et al.: Twitter heron: stream processing at scale. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 239–250. ACM (2015)
12.
Zurück zum Zitat Zaharia, M., Das, T., Li, H., Hunter, T., Shenker, S., Stoica, I.: Discretized streams: fault-tolerant streaming computation at scale. In: Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles, pp. 423–438. ACM (2013) Zaharia, M., Das, T., Li, H., Hunter, T., Shenker, S., Stoica, I.: Discretized streams: fault-tolerant streaming computation at scale. In: Proceedings of the Twenty-Fourth ACM Symposium on Operating Systems Principles, pp. 423–438. ACM (2013)
13.
Zurück zum Zitat Liu, Z., Yang, Y., Gu, W., Xia, J.: A multi-tenant usage access model for cloud computing. Comput. Mater. Continua 64(2), 1233–1245 (2020)CrossRef Liu, Z., Yang, Y., Gu, W., Xia, J.: A multi-tenant usage access model for cloud computing. Comput. Mater. Continua 64(2), 1233–1245 (2020)CrossRef
14.
Zurück zum Zitat Shi, W.-S., Sun, H., Cao, J., Zhang, Q., Liu, W.: Edge computing: a new computing model in the age of Internet of things. Comput. Res. Dev. 54(5), 907–924 (2017) Shi, W.-S., Sun, H., Cao, J., Zhang, Q., Liu, W.: Edge computing: a new computing model in the age of Internet of things. Comput. Res. Dev. 54(5), 907–924 (2017)
15.
Zurück zum Zitat Wu, H., et al.: State perception model and application of building equipment based on edge computing. Comput. Res. Dev. 54(5), 907–924 (2017) Wu, H., et al.: State perception model and application of building equipment based on edge computing. Comput. Res. Dev. 54(5), 907–924 (2017)
16.
Zurück zum Zitat Jia, Y., et al.: Task migration and collaborative load balancing mechanism based on mobile edge computing. Comput. Sci. 46(12), 126–131 (2019) Jia, Y., et al.: Task migration and collaborative load balancing mechanism based on mobile edge computing. Comput. Sci. 46(12), 126–131 (2019)
17.
Zurück zum Zitat Liu, P., Ren, H., Shi, X., Li, Y., Cai, Z., et al.: Motransframe: model transfer framework for CNNS on low-resource edge computing node. Comput. Mater. Continua 65(3), 2321–2334 (2020)CrossRef Liu, P., Ren, H., Shi, X., Li, Y., Cai, Z., et al.: Motransframe: model transfer framework for CNNS on low-resource edge computing node. Comput. Mater. Continua 65(3), 2321–2334 (2020)CrossRef
18.
Zurück zum Zitat Zhang, Q., Zhang, X., Zhang, Q., et al.: Firework: big data sharing and processing in collaborative edge environment. In: Proceedings of IEEE/ACM Symposium on Edge Computing (SEC2016), pp. 81–82. IEEE, Piscatawqy (2016) Zhang, Q., Zhang, X., Zhang, Q., et al.: Firework: big data sharing and processing in collaborative edge environment. In: Proceedings of IEEE/ACM Symposium on Edge Computing (SEC2016), pp. 81–82. IEEE, Piscatawqy (2016)
19.
Zurück zum Zitat Wu, Z.-G., Zhang, C.-Y., Deng, Q.-G.: Remote terminal design of new electric power dispatching automation system. Comput. Appl. 26(4), 771–773 (2006) Wu, Z.-G., Zhang, C.-Y., Deng, Q.-G.: Remote terminal design of new electric power dispatching automation system. Comput. Appl. 26(4), 771–773 (2006)
Metadaten
Titel
Research on Software Defined Programmable Strategy of Fireworks Model Oriented to Edge Computing Nodes
verfasst von
Yi-Qin Bao
Hao Zheng
Copyright-Jahr
2021
DOI
https://doi.org/10.1007/978-3-030-78618-2_52

Premium Partner