TY - GEN
T1 - Poster
T2 - 39th International Symposium on Reliable Distributed Systems, SRDS 2020
AU - Natori, Ko
AU - Kikuchi, Takafumi
AU - Kono, Kenji
N1 - Funding Information:
This work was supported in part by Japan Science and Technology Agency (JST CREST JPMJCR19F3).
PY - 2020/9
Y1 - 2020/9
N2 - Tail latency in packet handling can easily occur in today's huge distributed systems. Serious failure can happen if a packet experiences tail latency, especially if that packet is used to manage distributed systems. For example, the delay in heartbeat packets results in unnecessary invocation of recovery procedures, and degrades the overall availability of the system. This poster presents a mechanism that handles critical management packets without any tail latency. It handles critical packets inside hard interrupt request (IRQ) contexts to avoid unexpected delay of packet handling due to resource contention. The code for handling management packets is programmable. To allow the installation of user-defined code, it also provides programmable but safe execution environments. Our experimental results demonstrate our system can reduce 99.9 percentile latency up to 74.7% compared to XDP, a state-of-the-art packet handling system.
AB - Tail latency in packet handling can easily occur in today's huge distributed systems. Serious failure can happen if a packet experiences tail latency, especially if that packet is used to manage distributed systems. For example, the delay in heartbeat packets results in unnecessary invocation of recovery procedures, and degrades the overall availability of the system. This poster presents a mechanism that handles critical management packets without any tail latency. It handles critical packets inside hard interrupt request (IRQ) contexts to avoid unexpected delay of packet handling due to resource contention. The code for handling management packets is programmable. To allow the installation of user-defined code, it also provides programmable but safe execution environments. Our experimental results demonstrate our system can reduce 99.9 percentile latency up to 74.7% compared to XDP, a state-of-the-art packet handling system.
KW - availability
KW - cloud computing
KW - tail latency
UR - http://www.scopus.com/inward/record.url?scp=85097791190&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85097791190&partnerID=8YFLogxK
U2 - 10.1109/SRDS51746.2020.00040
DO - 10.1109/SRDS51746.2020.00040
M3 - Conference contribution
AN - SCOPUS:85097791190
T3 - Proceedings of the IEEE Symposium on Reliable Distributed Systems
SP - 329
EP - 331
BT - Proceedings - 2020 International Symposium on Reliable Distributed Systems, SRDS 2020
PB - IEEE Computer Society
Y2 - 21 September 2020 through 24 September 2020
ER -