TY - JOUR
T1 - Marc
T2 - On modeling and analysis of software-defined radio access network controllers
AU - Papa, Arled
AU - Durner, Raphael
AU - Goshi, Endri
AU - Goratti, Leonardo
AU - Rasheed, Tinku
AU - Blenk, Andreas
AU - Kellerer, Wolfgang
N1 - Publisher Copyright:
© 2004-2012 IEEE.
PY - 2021/12/1
Y1 - 2021/12/1
N2 - Network programmability also sneaked into the mobile world leading to the emergence of Software-Defined Radio Access Network (SD-RAN) architectures. Interestingly, while only a small number of prototype architectures exist for SD-RAN, their performance evaluations are unfortunately also limited. Recent evaluations are carried out for small network dimensions of up to 50 devices, while emerging 5G/6G networks envision numbers of devices beyond 5000. Although 5G/6G applications are more stringent with respect to latency guarantees, performance evaluations of such low scale remain questionable. To fill this void, this paper presents MARC: A novel benchmarking tool for SD-RAN architectures and their controllers. We use MARC to measure, analyze and identify performance implications for two state-of-The-Art open source SD-RAN solutions: FlexRAN and 5G-EmPOWER. We perceive results for monitoring application scenarios considering fully centralized control. For this setting, our findings show that the proposed architectures with a single SD-RAN controller are not scalable and can even lead to unpredictable network operations. Using our tool and based on our insights, we provide and implement design guidelines for the internal working behavior of the existing controllers.
AB - Network programmability also sneaked into the mobile world leading to the emergence of Software-Defined Radio Access Network (SD-RAN) architectures. Interestingly, while only a small number of prototype architectures exist for SD-RAN, their performance evaluations are unfortunately also limited. Recent evaluations are carried out for small network dimensions of up to 50 devices, while emerging 5G/6G networks envision numbers of devices beyond 5000. Although 5G/6G applications are more stringent with respect to latency guarantees, performance evaluations of such low scale remain questionable. To fill this void, this paper presents MARC: A novel benchmarking tool for SD-RAN architectures and their controllers. We use MARC to measure, analyze and identify performance implications for two state-of-The-Art open source SD-RAN solutions: FlexRAN and 5G-EmPOWER. We perceive results for monitoring application scenarios considering fully centralized control. For this setting, our findings show that the proposed architectures with a single SD-RAN controller are not scalable and can even lead to unpredictable network operations. Using our tool and based on our insights, we provide and implement design guidelines for the internal working behavior of the existing controllers.
KW - Benchmarking
KW - Network measurements
KW - Performance management
KW - Sd-ran
KW - Sd-ran controllers
UR - http://www.scopus.com/inward/record.url?scp=85116331301&partnerID=8YFLogxK
U2 - 10.1109/TNSM.2021.3095673
DO - 10.1109/TNSM.2021.3095673
M3 - Article
AN - SCOPUS:85116331301
SN - 1932-4537
VL - 18
SP - 4602
EP - 4615
JO - IEEE Transactions on Network and Service Management
JF - IEEE Transactions on Network and Service Management
IS - 4
ER -