Flexible Software-defined Packet Processing using Low-area Hardware

Computer networks are in the Software Defined Networking (SDN) and Network Function Virtualization (NFV) era. SDN brings a whole new set of flexibility and possibilities into the network. The data plane of forwarding devices can be programmed to provide functionality for any protocol, and to perform novel network testing, diagnostics, and troubleshooting. One of the most dominant hardware architectures for implementing the programmable data plane is the Reconfigurable Match Tables (RMT) architecture. RMT's innovative programmable architecture enables support of novel networking protocols. However, there are certain shortcomings associated with its architecture that limit its scalability and lead to an unnecessarily complex architecture. In this paper, we present the details of an alternative packet parser and MatchAction pipeline. The parser sustains tenfold throughput at an area increase of only 32 percent. The pipeline supports unlimited combination of tables at minimum possible cost and provides a new level of flexibility to programmable Match-Action packet processing by allowing custom depth for actions. In addition, it has more advanced field-referencing mechanisms. Despite these architectural enhancements, it has 31 percent less area compared to RMT architecture

Flexible software-defined packet processing using low-area hardware

Computer networks are in the Software Defined Networking (SDN) and Network Function Virtualization (NFV) era. SDN brings a whole new set of flexibility and possibilities into the network. The data plane of forwarding devices can be programmed to provide functionality for any protocol, and to perform novel network testing, diagnostics, and troubleshooting. One of the most dominant hardware architectures for implementing the programmable data plane is the Reconfigurable Match Tables (RMT) architecture. RMT's innovative programmable architecture enables support of novel networking protocols. However, there are certain shortcomings associated with its architecture that limit its scalability and lead to an unnecessarily complex architecture. In this paper, we present the details of an alternative packet parser and Match-Action pipeline. The parser sustains tenfold throughput at an area increase of only 32 percent. The pipeline supports unlimited combination of tables at minimum possible cost and provides a new level of flexibility to programmable Match-Action packet processing by allowing custom depth for actions. In addition, it has more advanced field-referencing mechanisms. Despite these architectural enhancements, it has 31 percent less area compared to RMT architecture.publishedVersionPeer reviewe

A Fully Integrated 5-mW, 0.8-Gbps Energy-Efficient Chip-to-Chip Data Link for Ultralow-Power IoT End-Nodes in 65-nm CMOS

The increasing complexity of Internet-of-Things (IoT) applications and near-sensor processing algorithms is pushing the computational power of low-power, battery-operated end-node systems. This trend also reveals growing demands for high-speed and energy-efficient inter-chip communications to manage the increasing amount of data coming from off-chip sensors and memories. While traditional microcontroller interfaces such as SPIs cannot cope with tight energy and large bandwidth requirements, low-voltage swing transceivers can tackle this challenge, thanks to their capability to achieve several Gbps of the communication speed at milliwatt power levels. However, recent research on high-speed serial links focused on high-performance systems, with a power consumption significantly larger than the one of low-power IoT end-nodes, or on stand-alone designs not integrated at a system level. This article presents a low-swing transceiver for the energy-efficient and low-power chip-to-chip communication fully integrated within an IoT end-node system-on-chip, fabricated in CMOS 65-nm technology. The transceiver can be easily controlled via a software interface; thus, we can consider realistic scenarios for the data communication, which cannot be assessed in stand-alone prototypes. Chip measurements show that the transceiver achieves $8.46 imes$ higher energy efficiency at $15.9 imes$ higher performance than a traditional microcontroller interface such as a single-SPI