TY - JOUR
T1 - Network Slicing in Industry 4.0 Applications
T2 - Abstraction Methods and End-to-End Analysis
AU - Kalør, Anders Ellersgaard
AU - Guillaume, Rene
AU - Nielsen, Jimmy Jessen
AU - Mueller, Andreas
AU - Popovski, Petar
PY - 2018/5/23
Y1 - 2018/5/23
N2 - Industry 4.0 introduces modern communication and computation technologies such as cloud computing and Internet of Things to industrial manufacturing systems. As a result, many devices, machines and applications will rely on connectivity, while having different requirements to the network, ranging from high reliability and low latency to high data rates. Furthermore, these industrial networks will be highly heterogeneous as they will feature a number of diverse communication technologies. Current technologies are not well suited for this scenario, which requires that the network is managed at an abstraction level which is decoupled from the underlying technologies. In this paper, we consider network slicing as a mechanism to handle these challenges. We present methods for slicing deterministic and packet-switched industrial communication protocols which simplifies the manageability of heterogeneous networks with various application requirements. Furthermore, we show how to use network calculus to assess the end-to-end properties of the network slices.
AB - Industry 4.0 introduces modern communication and computation technologies such as cloud computing and Internet of Things to industrial manufacturing systems. As a result, many devices, machines and applications will rely on connectivity, while having different requirements to the network, ranging from high reliability and low latency to high data rates. Furthermore, these industrial networks will be highly heterogeneous as they will feature a number of diverse communication technologies. Current technologies are not well suited for this scenario, which requires that the network is managed at an abstraction level which is decoupled from the underlying technologies. In this paper, we consider network slicing as a mechanism to handle these challenges. We present methods for slicing deterministic and packet-switched industrial communication protocols which simplifies the manageability of heterogeneous networks with various application requirements. Furthermore, we show how to use network calculus to assess the end-to-end properties of the network slices.
KW - Cloud computing
KW - communication networks
KW - Control systems
KW - cyber-physical systems
KW - industrial communication
KW - Industry 4.0
KW - Internet of Things (IoT)
KW - Network slicing
KW - network slicing
KW - Production facilities
KW - Protocols
KW - Reliability
KW - Sensors
UR - http://www.scopus.com/inward/record.url?scp=85047620189&partnerID=8YFLogxK
U2 - 10.1109/TII.2018.2839721
DO - 10.1109/TII.2018.2839721
M3 - Journal article
AN - SCOPUS:85047620189
SN - 1551-3203
VL - 14
SP - 5419
EP - 5427
JO - IEEE Transactions on Industrial Informatics
JF - IEEE Transactions on Industrial Informatics
IS - 12
M1 - 8362975
ER -