Delays in IP Routers, a Markov Model

Abstract

Abstract. Delays in routers are an important component of end-to-end delay and therefore have a significant impact on quality of service. While the other component, the propagation time, is easy to predict as the distance divided by the speed of light inside the link, the queueing delays of packets inside routers depend on the current, usually dynamically changing congestion and on the stochastic features of the flows. We use a Markov model taking into account the distribution of the size of packets and self-similarity of incoming flows to investigate their impact on the queueing delays and their dynamics.

Research and Innovation Action for the Security of the Internet of Things: The SerIoT Project

“…SerIoT has adopted an agile, trans-disciplinary requirement engineering, modelling and design methodology, which includes the following aspects: (i) End-user and stakeholder requirements engineering and refinement, (ii) Architecture and system analysis and refinement [7][8][9]17], (iii) IoT-related research and innovation to implement the architecture, (iv) Prototype technical development and integration plus testing, (v) Creating pilot examples in large-scale business oriented applications (OASA and DT), (vi) Multi-level performance evaluation and end-user validation acceptance based on the fulfillment of Key Performance Indicators (KPI), and (vii) Lessons learned and concrete efforts towards standardization and market take-up of SerIoT results. It is therefore crucial for the successful outcome of the SerIoT project that a clear well-structured methodology be used.…”