Towards a Packet Traffic Genome Project as a Method for Realtime Sub-Flow Traffic Analysis
Marat Zhanikeev · 2018
This paper proposes the novel idea of a packet traffic genome where sequence of bursts and gaps between bursts are encoded as a sequence of genes that represents the respective flow in analysis. This paper shows that, while individual flow genomes are too diverse for a valid analysis, the gene soup representing the total current traffic aggregate exhibits repeated patterns. The repetition can be used to reduce optimizational complexity of management decisions - this is when a pre-calculated solution can be used for a repeated pattern. Moreover, this paper shows that the genome concept can be helpful for switching at subflow level (e.g. circuits for individual bursts) and can serve as a visualization tool both at the level of individual flows and total aggregate traffic.