Integration of Clouds to Industrial Communication Networks
(2021)- Abstract
- Cloud computing, owing to its ubiquitousness, scalability and on-demand ac- cess, has transformed into many traditional sectors, such as telecommunication and manufacturing production. As the Fifth Generation Wireless Specifica- tions (5G) emerges, the demand on ubiquitous and re-configurable computing resources for handling tremendous traffic from omnipresent mobile devices has been put forward. And therein lies the adaption of cloud-native model in service delivery of telecommunication networks. However, it takes phased approaches to successfully transform the traditional Telco infrastructure to a softwarized model, especially for Radio Access Networks (RANs), which, as of now, mostly relies on purpose-built Digital Signal Processors... (More)
- Cloud computing, owing to its ubiquitousness, scalability and on-demand ac- cess, has transformed into many traditional sectors, such as telecommunication and manufacturing production. As the Fifth Generation Wireless Specifica- tions (5G) emerges, the demand on ubiquitous and re-configurable computing resources for handling tremendous traffic from omnipresent mobile devices has been put forward. And therein lies the adaption of cloud-native model in service delivery of telecommunication networks. However, it takes phased approaches to successfully transform the traditional Telco infrastructure to a softwarized model, especially for Radio Access Networks (RANs), which, as of now, mostly relies on purpose-built Digital Signal Processors (DSPs) for computing and processing tasks.
On the other hand, Industry 4.0 is leading the digital transformation in manufacturing sectors, wherein the industrial networks is evolving towards wireless connectivity and the automation process managements are shifting to clouds. However, such integration may introduce unwanted disturbances to critical industrial automation processes. This leads to challenges to guaran- tee the performance of critical applications under the integration of different systems.
In the work presented in this thesis, we mainly explore the feasibility of inte- grating wireless communication, industrial networks and cloud computing. We have mainly investigated the delay-inhibited challenges and the performance impacts of using cloud-native models for critical applications. We design a solution, targeting at diminishing the performance degradation caused by the integration of cloud computing.
(Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/debdd012-2590-48d3-8edb-455e04f11da2
- author
- Peng, Haorui LU
- supervisor
-
- Maria Kihl LU
- William Tärneberg LU
- Emma Fitzgerald LU
- organization
- publishing date
- 2021-01-11
- type
- Thesis
- publication status
- published
- subject
- issue
- 136
- pages
- 126 pages
- publisher
- Lund University
- ISSN
- 1654-790X
- ISBN
- 978-91-7895-726-2
- 978-91-7895-725-5
- project
- Design, optimisation and control of cloud-integrated autonomous networked systems
- WASP: Wallenberg AI, Autonomous Systems and Software Program at Lund University
- Nordic University Hub on Internet of Things
- language
- English
- LU publication?
- yes
- id
- debdd012-2590-48d3-8edb-455e04f11da2
- date added to LUP
- 2021-01-11 15:47:08
- date last changed
- 2021-11-26 08:24:07
@misc{debdd012-2590-48d3-8edb-455e04f11da2, abstract = {{Cloud computing, owing to its ubiquitousness, scalability and on-demand ac- cess, has transformed into many traditional sectors, such as telecommunication and manufacturing production. As the Fifth Generation Wireless Specifica- tions (5G) emerges, the demand on ubiquitous and re-configurable computing resources for handling tremendous traffic from omnipresent mobile devices has been put forward. And therein lies the adaption of cloud-native model in service delivery of telecommunication networks. However, it takes phased approaches to successfully transform the traditional Telco infrastructure to a softwarized model, especially for Radio Access Networks (RANs), which, as of now, mostly relies on purpose-built Digital Signal Processors (DSPs) for computing and processing tasks.<br/>On the other hand, Industry 4.0 is leading the digital transformation in manufacturing sectors, wherein the industrial networks is evolving towards wireless connectivity and the automation process managements are shifting to clouds. However, such integration may introduce unwanted disturbances to critical industrial automation processes. This leads to challenges to guaran- tee the performance of critical applications under the integration of different systems.<br/>In the work presented in this thesis, we mainly explore the feasibility of inte- grating wireless communication, industrial networks and cloud computing. We have mainly investigated the delay-inhibited challenges and the performance impacts of using cloud-native models for critical applications. We design a solution, targeting at diminishing the performance degradation caused by the integration of cloud computing.<br/>}}, author = {{Peng, Haorui}}, isbn = {{978-91-7895-726-2}}, issn = {{1654-790X}}, language = {{eng}}, month = {{01}}, note = {{Licentiate Thesis}}, number = {{136}}, publisher = {{Lund University}}, title = {{Integration of Clouds to Industrial Communication Networks}}, url = {{https://lup.lub.lu.se/search/files/89830978/HaoruiPeng_licentiate_v3.pdf}}, year = {{2021}}, }