We call edgelet computing the current convergence between Opportunistic Network (OppNet) and Trusted Execution Environment (TEE) at the very edge of the network. We believe that this convergence bears the seeds of a novel and important class of applications leveraging fully decentralized and highly secure computations among data scattered on multiple personal devices. This paper introduces the Edgelet computing paradigm, defines properties that guarantee the safety, liveness and security of executions in this unusual context and proposes alternative strategies satisfying these properties. Preliminary performance evaluations and an ongoing real-case study highlights the practicality of the approach. Finally, the paper draws future research challenges for the database and distributed system community.

In this demonstration paper, we leverage the current convergence between Trusted Execution Environments and Opportunistic Networks to perform secure and privacypreserving computations on personal devices. We call this convergence Edgelet computing and show that it can drastically change the way distributed processing over personal data is conceived. We demonstrate the pertinence of the approach through a real medical use-case being deployed in the field.