Software-accelerated Service-oriented Router for Edge and Fog Service Enhancement Using Advanced Stream Content Analysis

Fog services have been gaining momentum due to the demand generated by IoT-based services that require data and services to be provided at the edge of the network. This phenomenon creates several problems for Internet systems, such as security, and data management. Particularly, edge and fog computing addresses these problems and provides new services by solving these issues. To this end, a service-oriented router (SoR) was proposed and extended to provide edge and fog services by performing authorized stream content analysis (ASCA). Packet Capture (Libpcap) library was used to develop the initial implementation of the SoR to perform ASCA using conventional hardware and software platforms. However, Libpcap implementation together with conventional hardware demonstrated limited performance. Consequently, this paper proposes a method using Intel technologies such as the Intel Data Plane Development Kit and Hyperscan to accelerate stream processing and string matching on SoRs. The paper compares both implementations of SoRs and evaluates the performance with regard to packet throughput, CPU utilization, and memory usage. Furthermore, the latency of major functions is evaluated under Libpcap-based and DPDK-based SoR implementations. The results demonstrate an increase of more than 0.8 Gbps in bandwidth in a 1 Gbps link using less hardware utilization when SoR is implemented using Intel technologies compared to the original Libpcap implementation.