Abstract
Paradigms of ubiquitous IoT coupled with strong context-aware data access controls are a must for the success of Health 4.0. These together with the inherent requirement of adhering to strict QoS guarantees in the health domain create a technologically challenging environment which can be effectively addressed through novel platforms. Mobile Edge Computing (MEC) happens to be a strong contender in this direction and has recently been gaining rapid traction. MEC is capable of meeting the needs of Health 4.0 by providing a scalable low-latency context-aware cloud platform for a variety of service subsystems. In this chapter, we present an overview of MEC along with an outline of its architecture, features and challenges. We also discuss the potential platforms that could be built on top of MEC to facilitate the difficult scenarios of health sector.
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Notes
- 1.
The implementations of individual interfaces between different entities of the MEC platform are provider specific and are beyond the scope of the current discussion. For more details, readers are recommended to refer to http://www.etsi.org/technologies-clusters/technologies/mobile-edge-computing and https://portal.etsi.org/tb.aspx?tbid=826&SubTB=826.
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Acknowledgments
We would like to extend our sincere thanks to our colleagues Dr. Holger Rosier and Mr. Joseph Eichinger whose constant support and guidance made this chapter possible. We would also like to express our gratitude to Mr. Markus Dillinger for providing us this opportunity.
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Nunna, S., Ganesan, K. (2017). Mobile Edge Computing. In: Thuemmler, C., Bai, C. (eds) Health 4.0: How Virtualization and Big Data are Revolutionizing Healthcare. Springer, Cham. https://doi.org/10.1007/978-3-319-47617-9_9
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