Seamless task offloading on multi-clouds and edge resources: An experiment

Andreas Tsagkaropoulos, Yiannis Verginadis, Dimitris Apostolou and Gregoris Mentzas
8th International Conference on Information, Intelligence, Systems and Applications IISA 2017, 28-30 August 2017


    Cloud computing has been growing at an increasing rate over the last few years. Commercial and scientific applications have come to rely on it as a development tool due to its exceptional characteristics in processing power and storage. The trend has been augmented with the emergence of the Internet of Things and smart processing devices at the edge. Contrary to the line of thought commonly adopted, we present in this work an alternative platform that considers edge devices as possible processing nodes, and provide a two-level task scheduling deployment that can handle not only binary modules, but also code-level fragmentations. We also go through a simple implementation of the platform, using production-ready solutions, while validating it on public and private clouds, and physically-separated edge devices.

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