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Guaranteed Latency Applications in Edge-Cloud Environment

Publication at Faculty of Mathematics and Physics |
2018

Abstract

Modern Cyber-Physical Systems combine distributed embedded devices with computation in cloud. The inclusion of cloud increases the smartness of the systems by allowing computationally- and data-intensive tasks such as complex data analytics, optimization and decision making, learning and predictions.

However, an important implication of interacting with the physical world is the presence of real-time requirements. It puts the cloud in the loop and requires the cloud to participate in the overall real-time guarantees, which poses a difficult problem.

In this paper, we address the problem of providing real-time guarantees (in particular statistical guarantees on response time) by combining edge-cloud processing with runtime performance awareness and adaptation.(1)