ECCO: Edge-cloud chaining and orchestration framework for road context assessment

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Cozzolino, V 
Ott, J 
DIng, AY 

© 2020 IEEE. For road safety, detecting and reacting efficiently to road hazards is crucial and yet challenging due to practical restrictions such as limited data availability, which relies on network support. Moreover, from a system perspective we lack a computational model capable of providing to vehicles reliable and real-time assessment of the road context. As autonomous vehicles become widespread, the safety issues are further aggravated by the gap between cloud, roadside infrastructure and road users in terms of communication latency, software-hardware compatibility and data interoperability. To tackle this, we present ECCO: an orchestration framework that enables edge-cloud collaborative computing for road context assessment. ECCO can create on-demand task execution pipelines spanning multiple, potentially resource-constrained edge-nodes with the smart IoT infrastructure support. Our prototype lays the groundwork to support new services, which can use more efficiently the road infrastructure and deliver safety-critical applications for road users.

Edge computing, Distributed computing, Unikernel
Journal Title
Proceedings - 5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020
Conference Name
2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI)
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Engineering and Physical Sciences Research Council (EP/M02315X/1)
Engineering and Physical Sciences Research Council (EP/R03351X/1)