Abstract:
Fast emerging mobile edge computing, mobile clouds, Internet of Things, and cyber physical systems require many novel realistic real-time multi-layer algorithms for a wide range of domains, such as intelligent content provision and processing, smart transport, smart manufacturing systems, and mobile end-user applications. This paper proposes a low-cost open source platform, MODiToNeS, which uses commodity hardware to support prototyping and testing of fully distributed multi-layer complex algorithms over real-world (or pseudoreal) traces. MODiToNeS platform is generic and comprises multiple interfaces that allow real-time topology and mobility control, deployment and analysis of different self-organized and self-adaptive routing algorithms, real-time content processing, and real-time environment sensing with predictive analytics. Our platform also allows rich interactivity with the user. We show deployment and analysis of two vastly different complex networking systems: a fault and disconnection-aware smart manufacturing sensor network and cognitive privacy for personal clouds. We show that our platform design can integrate both contexts transparently and organically and allows a wide range of analysis.
