CoMob: A Scenario Focusing on Pervasiveness, Distribution, and Scale

Gianpaolo Cugola & Matteo RossiDeepSE GroupDipartimento di Elettronica e InformazionePolitecnico di Milano, Italy

Milan, 23 Sept. 2009 Meeting on scenarios 2

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. 2009 Meeting on scenarios 3

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. 2009 Meeting on scenarios 4

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. 2009 Meeting on scenarios 5

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. 2009 Meeting on scenarios 6

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