Supporting programmable stateful packet forwarding functions in hardware requires a tight balance between functionality and performance. Current state-of-the-art solutions are based on a very conservative model that assumes worst-case workloads. This finally limits the programmability of the system, even if actual deployment conditions may be very different from the worst-case scenario. We use trace-based simulations to highlight the benefits of accounting for specific workload characteristics. Furthermore, we show that relatively simple additions to a switching chip design can take advantage of such characteristics. In particular, we argue that introducing stalls in the switching chip pipeline enables stateful functions to be executed in a larger but bounded time without harming the overall forwarding performance. Our results show that, in some cases, the stateful processing of a packet could use 30x the time budget provided by state of the art solutions.

Relaxing state-access constraints in stateful programmable data planes

Capone, Antonio
2018-01-01

Abstract

Supporting programmable stateful packet forwarding functions in hardware requires a tight balance between functionality and performance. Current state-of-the-art solutions are based on a very conservative model that assumes worst-case workloads. This finally limits the programmability of the system, even if actual deployment conditions may be very different from the worst-case scenario. We use trace-based simulations to highlight the benefits of accounting for specific workload characteristics. Furthermore, we show that relatively simple additions to a switching chip design can take advantage of such characteristics. In particular, we argue that introducing stalls in the switching chip pipeline enables stateful functions to be executed in a larger but bounded time without harming the overall forwarding performance. Our results show that, in some cases, the stateful processing of a packet could use 30x the time budget provided by state of the art solutions.
2018
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11311/1060305
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