TY - GEN
T1 - L25gc
T2 - 2022 Conference of the ACM Special Interest Group on Data Communication, SIGCOMM 2022
AU - Jain, Vivek
AU - Chu, Hao Tse
AU - Qi, Shixiong
AU - Lee, Chia An
AU - Chang, Hung Cheng
AU - Hsieh, Cheng Ying
AU - Ramakrishnan, K. K.
AU - Chen, Jyh Cheng
N1 - Publisher Copyright:
© 2022 Owner/Author.
PY - 2022/8/22
Y1 - 2022/8/22
N2 - Cellular network control procedures (e.g., mobility, idle-Active transition to conserve energy) directly influence data plane behavior, impacting user-experienced delay. Recognizing this control-data plane interdependence, L25GC re-Architects the 5G Core (5GC) network, and its processing, to reduce latency of control plane operations and their impact on the data plane. Exploiting shared memory, L25GC eliminates message serialization and HTTP processing overheads, while being 3GPP-standards compliant. We improve data plane processing by factoring the functions to avoid control-data plane interference, and using scalable, flow-level packet classifiers for forwarding-rule lookups. Utilizing buffers at the 5GC, L25GC implements paging, and an intelligent handover scheme avoiding 3GPP's hairpin routing, and data loss caused by limited buffering at 5G base stations, reduces delay and unnecessary message processing. L25GC's integrated failure resiliency transparently recovers from failures of 5GC software network functions and hardware much faster than 3GPP's reattach recovery procedure. L25GC is built based on free5GC, an open-source kernel-based 5GC implementation. L25GC reduces event completion time by ∼50% for several control plane events and improves data packet latency (due to improved control plane communication) by ∼2×, during paging and handover events, compared to free5GC. L25GC's design is general, although current implementation supports a limited number of user sessions.
AB - Cellular network control procedures (e.g., mobility, idle-Active transition to conserve energy) directly influence data plane behavior, impacting user-experienced delay. Recognizing this control-data plane interdependence, L25GC re-Architects the 5G Core (5GC) network, and its processing, to reduce latency of control plane operations and their impact on the data plane. Exploiting shared memory, L25GC eliminates message serialization and HTTP processing overheads, while being 3GPP-standards compliant. We improve data plane processing by factoring the functions to avoid control-data plane interference, and using scalable, flow-level packet classifiers for forwarding-rule lookups. Utilizing buffers at the 5GC, L25GC implements paging, and an intelligent handover scheme avoiding 3GPP's hairpin routing, and data loss caused by limited buffering at 5G base stations, reduces delay and unnecessary message processing. L25GC's integrated failure resiliency transparently recovers from failures of 5GC software network functions and hardware much faster than 3GPP's reattach recovery procedure. L25GC is built based on free5GC, an open-source kernel-based 5GC implementation. L25GC reduces event completion time by ∼50% for several control plane events and improves data packet latency (due to improved control plane communication) by ∼2×, during paging and handover events, compared to free5GC. L25GC's design is general, although current implementation supports a limited number of user sessions.
KW - 5G cellular networks
KW - cellular core
KW - low latency 5G core
KW - NFV
UR - http://www.scopus.com/inward/record.url?scp=85136153432&partnerID=8YFLogxK
U2 - 10.1145/3544216.3544267
DO - 10.1145/3544216.3544267
M3 - Conference contribution
AN - SCOPUS:85136153432
T3 - SIGCOMM 2022 - Proceedings of the ACM SIGCOMM 2022 Conference
SP - 143
EP - 157
BT - SIGCOMM 2022 - Proceedings of the ACM SIGCOMM 2022 Conference
PB - Association for Computing Machinery, Inc
Y2 - 22 August 2022 through 26 August 2022
ER -