In-network processing for edge computing with InLocus Online publication date: Mon, 16-Mar-2020
by Lucas R.B. Brasilino; Naveen Marri; Alexander Shroyer; Catherine Pilachowski; Ezra Kissel; Martin Swany
International Journal of Cloud Computing (IJCC), Vol. 9, No. 1, 2020
Abstract: As sensors and smart device infrastructure grows, networks are increasingly heterogeneous and diverse. We propose an efficient and low-latency architecture called InLocus, which facilitates stream processing at the network's edge. InLocus balances hardware-accelerated performance with the flexibility of asynchronous software control. In this paper, we extend InLocus architecture by implementing compute nodes in a more traditional cloud-based solution in the form of Apache Kafka and Twitter Heron framework, as well as by introducing a new runtime approach for the previously handwritten C Server. We utilise a flexible platform (Xilinx Zynq SoC) to compare microbenchmarks between the latter and high-level synthesis (HLS) version in programmable hardware.
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