  Internet of Things (IoT) has gained substantial attention over the past
years. And the main discussion has been how to process the amount of data that
it generates which has lead to the edge computing paradigm. Wether it is called
fog1, edge or mist, the principle remains that cloud services must become
available closer to clients. This documents presents ongoing work on future
edge systems that are built to provide steadfast IoT services to users by
bringing storage and processing power closer to peripheral parts of networks.
Designing such infrastructures is becoming much more challenging as the number
of IoT devices keeps growing. Production grade deployments have to meet very
high performance requirements, and end-to-end solutions involve significant
investments. In this paper, we aim at providing a solution to extend the range
of the edge model to the very farthest nodes in the network. Specifically, we
focus on providing reliable storage and computation capabilities immediately on
wireless IoT sensor nodes. This extended edge model will allow end users to
manage their IoT ecosystem without forcibly relying on gateways or Internet
provider solutions. In this document, we introduce Achlys, a prototype
implementation of an edge node that is a concrete port of the Lasp programming
library on the GRiSP Erlang embedded system. This way, we aim at addressing the
need for a general purpose edge that is both resilient and consistent in terms
of storage and network. Finally, we study example use cases that could take
advantage of integrating the Achlys framework and discuss future work for the
latter.
