Section: Research Program

Overview

The Resist project aims at designing, implementing and validating novel models, algorithms and tools to make networked systems elastic and resilient so as to enhance their scalability and security, assuming users, applications and devices whose volume and heterogeneity will continue to increase.

Figure 1. The Resist project

Softwarization of networks and data analytics are key enablers to design intelligent methods to orchestrate – i.e. configure in a synchronized and distributed manner – both network and system resources. Intelligent orchestration leverages relevant data for decision-making using data analytics. Input data reflecting the past, current and even future (predicted) states of the system are used to build relevant knowledge. Two approaches are pursued to generate knowledge and to validate orchestration decisions. First, a running system can be monitored in vivo. Second, in vitro experimentation in a controlled environment (simulators, emulators and experimental platforms) is helpful to reproduce a running system with a high reliability and under different hypotheses. Monitoring and experimentation are steered and configured through orchestration according to the two intertwined loops illustrated in Figure 1.

Accordingly Resist is thus structured into four main research objectives (activities) namely Monitoring, Experimentation, Analytics and Orchestration.