Robots as-a-Service in Cloud Computing: Search and Rescue in Large-scale Disasters Case Study

Carla Mouradian; Sami Yangui; Roch H. Glitho

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arXiv · 1710.04919

Robots as-a-Service in Cloud Computing: Search and Rescue in Large-scale Disasters Case Study

Carla Mouradian·Sami Yangui·Roch H. Glitho

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Abstract

Internet of Things (IoT) is expected to enable a myriad of applications by interconnecting objects - such as sensors and robots - over the Internet. IoT applications range from healthcare to autonomous vehicles and include disaster management. Enabling these applications in cloud environments requires the design of appropriate IoT Infrastructure-as-a-Service (IoT IaaS) to ease the provisioning of the IoT objects as cloud services. This paper discusses a case study on search and rescue IoT applications in large-scale disaster scenarios. It proposes an IoT IaaS architecture that virtualizes robots (IaaS for robots) and provides them to the upstream applications as-a-Service. Node- and Network-level robots virtualization are supported. The proposed architecture meets a set of identified requirements, such as the need for a unified description model for heterogeneous robots, publication/discovery mechanism, and federation with other IaaS for robots when needed. A validating proof of concept is built and experiments are made to evaluate its performance. Lessons learned and prospective research directions are discussed.

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BibTeX RIS

Carla Mouradian, Sami Yangui, Roch H. Glitho. 2017-10-13. Robots as-a-Service in Cloud Computing: Search and Rescue in Large-scale Disasters Case Study. https://arxiv.org/abs/1710.04919

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