Abstract
In recent times, mobile broadband devices have become almost ubiquitous. However, battery-powered devices (such as smartphones), have limitations on energy consumption, computation power and storage space. Cloud computing and Mobile Edge Computing (MEC) can provide low-latency compute and storage services at the vicinity of the user, MEC in particular due to the upcoming 5G networks. However, the complexity lies in how to simply and efficiently realise MEC services, with the auxiliary public (multi-)cloud resources? In this paper, we propose a proof-of-concept for using Reliable Server Pooling (RSerPool) as a light-weight layer of managing resource pools and handling application sessions with these pools. Our approach is simple, efficient, has low overhead and is available as open source. Here, we demonstrate the usefulness of our approach by measuring in a test setup, with a 4G testbed connected to MEC and public multi-cloud resources.
This work has been supported by the European Community through the 5G-VINNI project (grant no. 815279) within the H2020-ICT-17-2017 research and innovation program. Parts of this work have also been funded by the Research Council of Norway under project number 208798/F50. The authors would like to thank Ann Edith Wulff Armitstead for her comments.
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Notes
- 1.
RSPLIB:Â https://www.uni-due.de/be0001/rserpool/.
- 2.
Open Source MANO: https://osm.etsi.org.
- 3.
OpenAirInterface: https://www.openairinterface.org.
- 4.
SimulaMet OAI VNF: https://github.com/simula/5gvinni-oai-ns.
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Dreibholz, T., Mazumdar, S. (2021). Reliable Server Pooling Based Workload Offloading with Mobile Edge Computing: A Proof-of-Concept. In: Barolli, L., Woungang, I., Enokido, T. (eds) Advanced Information Networking and Applications. AINA 2021. Lecture Notes in Networks and Systems, vol 227. Springer, Cham. https://doi.org/10.1007/978-3-030-75078-7_58
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