2016/01/20 by Massimo Monti, Monti, Massimo, Manolis Sifalakis +5
Computer Science · Engineering · Materials Science · #Advanced Memory and Neural Computing #Conducting polymers and applications #Emerging Technologies (cs.ET) #FOS: Computer and information sciences #FOS: Electrical engineering #Software-Defined Networks and 5G #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1601.05356
openalex publication_date 2016/01/20 · openalex created_date 2016/06/24 · openalex updated_date 2026/07/28
Chemical algorithms are statistical algorithms described and represented as chemical reaction networks. They are particularly attractive for traffic shaping and general control of network dynamics; they are analytically tractable, they reinforce a strict state-to-dynamics relationship, they have configurable stability properties, and they are directly implemented in state-space using a high-level (graphical) representation. In this paper, we present a direct implementation of chemical algorithms on FPGA hardware. Besides substantially improving performance, we have achieved hardware-level programmability and re-configurability of these algorithms at runtime (not interrupting servicing) and in realtime (with sub-second latency). This opens an interesting perspective for expanding the currently limited scope of software defined networking and network virtualisation solutions, to include programmable control of network dynamics.