Serbian Journal of Electrical Engineering
kako citirati ovaj članak
podeli ovaj članak


  • citati u SCIndeksu: 0
  • citati u CrossRef-u:0
  • citati u Google Scholaru:[]
  • posete u poslednjih 30 dana:4
  • preuzimanja u poslednjih 30 dana:2


članak: 3 od 18  
Back povratak na rezultate
2019, vol. 16, br. 1, str. 21-44
Model-based approach for semantic-driven deployment of containerized applications to support future Internet services and architectures
(naslov ne postoji na srpskom)
Univerzitet u Nišu, Elektronski fakultet

European Union's Horizon 2020 Framework Programme for Research and Innovation under the Grant Agreement No 645220, project RAWFIE (Road-, Air- and Water- based Future Internet Experimentation)

Ključne reči: Container-based virtualization; DevOps; Docker; Edge computing; Future Internet; IoT; Model-driven engineering; NFV; Ontology; SDN; Semantic technology; VNF
(ne postoji na srpskom)
Due to increasing number of connected Internet of Things (IoT) devices, enormous amount of data needs to be transmitted to the Cloud for processing, while the network is becoming Cloud computing's bottleneck. On the other side, the privacy and security issues in more sensitive application domains could dramatically restrict the freedom of data movement, so it is not possible to offload all the data to the Cloud for processing. Furthermore, the manual operations related to tuning and deployment of these applications are time-consuming and require additional effort. In this paper, a model-based framework for automated, semantic-driven (re-)deployment of containerized applications is presented, leveraging the synergy of Virtual Network Functions (VNFs) and SDN, tackling the mentioned issues.
Anderson, J., Hu, H., Agarwal, U., Lowery, C., Li, H., Apon, A. (2016) Performance considerations of network functions virtualization using containers. u: 2016 International Conference on Computing, Networking and Communications (ICNC), Kauai, USA: IEEE, 1-7
Baktir, A.C., Ozgovde, A., Ersoy, C. (2017) How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions. IEEE Communications Surveys & Tutorials, 19(4): 2359-2391
Baldoni, G., Melita, M., Micalizzi, S., Rametta, C., Schembra, G., Vassallo, A. (2016) Video Broadcasting Services Over SDN-NFV Enabled Networks: A Prototype. Procedia Computer Science, 98: 560-565
Brambilla, M., Cabot, J., Wimmer, M. (2012) Model-Driven Software Engineering in Practice. San Rafael, USA: Morgan & Claypool Publishers, 13-16
Braun, W., Menth, M. (2014) Software-Defined Networking Using OpenFlow: Protocols, Applications and Architectural Design Choices. Future Internet, 6(2): 302-336
Davies, J., Studer, R., Warren, P. (2006) Semantic Web Technologies. u: Semantic Web Technologies: Trends and Research in Ontology-Based Systems, Ltd., Chichester, England: John Wiley & Sons
Ebert, C., Gallardo, G., Hernantes, J., Serrano, N. (2016) DevOps. IEEE Software, 33(3): 94-100
Felter, W., Ferreira, A., Rajamony, R., Rubio, J. (2015) An updated performance comparison of virtual machines and Linux containers. u: 2015 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), Philadelphia, USA: IEEE, 171-172
Ferry, N., Song, H., Rossini, A., Chauvel, F., Solberg, A. (2014) CloudMF: Applying MDE to Tame the Complexity of Managing Multi-cloud Applications. u: 2014 IEEE/ACM 7th International Conference on Utility and Cloud Computing, London, UK: IEEE, 269-277
Gupta, A., Farhan, H.M., Mandal, U., Chowdhury, P., Tornatore, M., Mukherjee, B. (2018) On service-chaining strategies using Virtual Network Functions in operator networks. Computer Networks, 133: 1-16
Hitzler, P., Krotzsch, M., Rudolph, S. (2009) Foundations of Semantic Web Technologies. u: Foundations of Semantic Web Technologies, Boca Raton, London, New York: Chapman
Mahmood, Z., Ramachandran, M. (2018) Fog Computing: Concepts, Principles and Related Paradigms. u: Fog Computing Concepts, Frameworks and Technologie, Cham, Switzerland: Springer International Publishing, 3-21
Mouat, A. (2015) Docker Security: Using Containers Securely in Production. https://www.oreilly.com/ideas/docker-security
Paraiso, F., Challita, S., Al-Dhuraibi, Y., Merle, P. (2016) Model-Driven Management of Docker Containers. u: 2016 IEEE 9th International Conference on Cloud Computing (CLOUD), San Francisco, CA: IEEE, 718-725
Pérez, M.G., Perez, G., Giardina, P.G. (2018) Self-Organizing Capabilities in 5G Networks: NFV & SDN Coordination in a Complex Use Case. u: Proceedings of the 3rd Network Management Workshop for 5G Networks (EuCNC18), Ljubljana, Slovenia, June, 1-5
Petrovic, N. (2018) Model-Driven Approach for Deployment of Container-Based Applications in Fog Computing. u: Proceedings of the 5th International Conference on Electrical, Electronic and Computing Engineering (IcETRAN 2018), Palics, Serbia, June, 1084-1089
Petrovic, N. (2017) Enabling Flexibility of Data-Intensive Applications on Container-Based Systems with Node-RED in Fog Environments. Milano: Politecnico di Milano, master thesis
Plebani, P., Garcia-Perez, D., Anderson, M., Bermbach, D. (2017) Information Logistics and Fog Computing: The DITAS* Approach. u: Proceedings of the CAiSE 2017 Forum Papers, Essen, Germany, pp. 129-136
Plebani, P., Garcia-Perez, D., Anderson, M., Bermbach, D., Cappiello, C., Kat, R.I., Marinakis, A., Moulos, V., Pallas, F., Pernici, B., Tai, S., Vitali, M. (2018) DITAS: Unleashing the Potential of Fog Computing to Improve Data-Intensive Applications. u: Z. A. Mann [ur.] Communications in Computer and Information Science, Cham, Switzerland: Springer International PublishingCloud Computing, 824: 154-158
Rao, S.K. N. (2014) SDN and Its Use-Cases -NV and NFV -A State-of-the-Art Survey. u: NEC Technologies India Limited., White Paper, 3-25
Sturm, R., Pollard, C., Craig, J. (2017) DevOps and Continuous Delivery, Application Performance Management (APM) in the Digital Enterprise: Managing Applications for Cloud, Mobile, IoT and eBusiness. San Francisco, CA: Morgan Kaufmann Publishers Inc, 121-135
Tamburri, D.A., di Nitto, E. (2017) Developing Data-Intensive Cloud Applications with Iterative Quality Enhancements, Deployment Abstractions -Final Version

O članku

jezik rada: engleski
vrsta rada: neklasifikovan
DOI: 10.2298/SJEE1901021P
objavljen u SCIndeksu: 18.05.2019.
Creative Commons License 4.0

Povezani članci

Nema povezanih članaka