CoMob: A Scenario Focusing on Pervasiveness, Distribution, and Scale Gianpaolo Cugola & Matteo Rossi DeepSE Group Dipartimento di Elettronica e Informazione Politecnico di Milano, Italy

Milan, 23 Sept. 2009Meeting on scenarios2 Why a new scenario We feel the need of a scenario centered around pervasiveness, ubiquity, strong distribution, coordination without centralized control –Typical domains: p2p applications, WSNs, IoT,... Scenarios centered on services and service-oriented computing stress a different form of distribution and a different kind of dynamics Clearly, we need both kind of scenarios. Possibly, but not necessarily, integrated together in a single “macro- scenario”

Milan, 23 Sept. 2009Meeting on scenarios3 CoMob: Cooperative Mobility People roam around with their gps- equipped phone Collect information about current traffic (along their route) based on the position of others (FCD) Collect information about others’ route to predict future traffic Coordinate with others to avoid future jams

Milan, 23 Sept. 2009Meeting on scenarios4 CoMob: An analysis Good –Strong distribution –Large scale –Ubiquitous –Dynamic –Discourages centralized solutions (efficiency, administrative issues) Game theory may suggest optimal solution with zero coordination –Small (limited) devices Bad –Fixed requirements –No “open-world” –Small devices but not “really small”

Milan, 23 Sept. 2009Meeting on scenarios5 Per-CoMob Sensors (pressure, cameras,...) build a WSN that contribute information about traffic Traffic lights contribute controlling routes and limiting traffic jams Drivers may prefer a route if they know they will “sync” with green –But they must coordinate – the number of cars on a street determines the average speed

Milan, 23 Sept. 2009Meeting on scenarios6 Open-CoMob Before getting in the street, people define what cooperative application they want to run (e.g., a tourist might want to maximize the number of locations visited) –The system builds the application by setting up a collaboration with other devices E.g., with devices of other people belonging to a community “tourists”, to determine at what time it is best to visit a monument