Sammendrag
Video monitoring and surveillance of commercial fisheries in world oceans has been
proposed by the governing bodies of several nations as a response to crimes such as overfishing.
Traditional video monitoring systems may not be suitable due to limitations in the offshore fishing environment, including low bandwidth, unstable satellite network connections and issues of preserving
the privacy of crew members. In this paper, we present Áika, a robust system for executing distributed
Artificial Intelligence (AI) applications on the edge. Áika provides engineers and researchers with
several building blocks in the form of Agents, which enable the expression of computation pipelines
and distributed applications with robustness and privacy guarantees. Agents are continuously monitored by dedicated monitoring nodes, and provide applications with a distributed checkpointing
and replication scheme. Áika is designed for monitoring and surveillance in privacy-sensitive and
unstable offshore environments, where flexible access policies at the storage level can provide privacy
guarantees for data transfer and access.
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