Semantic Programming for Device-Edge-Cloud Continuum

TL;DR

This paper introduces ThothSP, a semantic programming framework for the Device-Edge-Cloud continuum that simplifies smart application development through neural-symbolic data fusion and adaptive resource federation.

Contribution

It presents a novel neural-symbolic stream fusion mechanism and an adaptive federator for distributed processing, advancing semantic programming in edge-cloud environments.

Findings

Demonstrated ThothSP's effectiveness in a distributed camera network case study.

Showed improved coordination and resource utilization across multiple compute nodes.

Validated the framework's capability to simplify smart application development.

Abstract

This position paper presents ThothSP, a Semantic Programming framework with the aim of lowering the coding effort in building smart applications on the Device-Edge-Cloud continuum by leveraging semantic knowledge. It introduces a novel neural-symbolic stream fusion mechanism, which enables the specification of data fusion pipelines via declarative rules, with degrees of learnable probabilistic weights. Moreover, it includes an adaptive federator that allows the Thoth>runtime to be distributed across multiple compute nodes in a network, and to coordinate their resources to collaboratively process tasks by delegating partial workloads to their peers. To demonstrate ThothSP's capability, we report a case study on a distributed camera network to show ThothSP's behaviour against a traditional edge-cloud setup.