such as the MIT Reality Project [@mit-reality] and the Nokia Mobile Challenge. These traces include a great deal of valuable information; their main shortcoming is the limited number of participants (in the case of the Nokia Mobile Challenge, around two hundred). This scale is adequate to study, for example, user mobility or encounter patterns, but studying a whole cellular network requires information about many more users. Mobile operators are typically reluctant to release demand and deployment information to the scientific community. An exception is represented by the Data For Development dataset by Orange [@orange-d4d], including mobility information for 50,000 users in Ivory Coast, as well as CDR (call-detail record) information for phone calls and SMS messages. However, the Orange trace only includes voice calls and SMS, and is severely restricted by heavy anonymization – each ID encountered gets a new coded identity for each “ego site” to which they are a neighbor. In other cases [@Malandrino-TCS], mobile operators have released demand or deployment information to individual research teams under non-disclosure agreements; however, these traces typically include only one operator and/or only one city.

MEC has been recently introduced [@etsi-wp] as a way to move “the cloud”, i.e., the servers processing 