All Outputs (4)

Opencache: Distributed sdn/nfv based in-network caching as a service (2019)
Presentation / Conference Contribution
Alalmaei, S., Broadbent, M., Race, N., & Chelloug, S. (2019). Opencache: Distributed sdn/nfv based in-network caching as a service. In Advances in Data Science, Cyber Security and IT Applications: First International Conference on Computing, ICC 2019 (26

In-network content caching allows content to be located towards the edge of the network, closer to users. This approach addresses the challenge of exponentially increasing video traffic. We consider OpenCache: an open-source, highly configurable, eff... Read More about Opencache: Distributed sdn/nfv based in-network caching as a service.

Evaluating the real-world performance of 5G fixed wireless broadband in rural areas (2019)
Presentation / Conference Contribution
Abozariba, R., Davies, E., Broadbent, M., & Race, N. (2019). Evaluating the real-world performance of 5G fixed wireless broadband in rural areas. In 2019 IEEE 2nd 5G World Forum (5GWF) (465-470). https://doi.org/10.1109/5GWF.2019.8911655

Rural communities are often neglected in the rollout of communication infrastructure, delaying or even preventing the delivery of common digital services that are now ubiquitous in modern society. Addressing this technological gap is of paramount imp... Read More about Evaluating the real-world performance of 5G fixed wireless broadband in rural areas.

CityFlow: Supporting Spatial-Temporal Edge Computing for Urban Machine Learning Applications (2019)
Presentation / Conference Contribution
Kawano, M., Yonezawa, T., Tanimura, T., Giang, N. K., Broadbent, M., Lea, R., & Nakazawa, J. (2019). CityFlow: Supporting Spatial-Temporal Edge Computing for Urban Machine Learning Applications. In 3rd EAI International Conference on IoT in Urban Space (

A growing trend in smart cities is the use of machine learning techniques to gather city data, formulate learning tasks and models, and use these to develop solutions to city problems. However, although these processes are sufficient for theoretical... Read More about CityFlow: Supporting Spatial-Temporal Edge Computing for Urban Machine Learning Applications.

An integrated precision farming application based on 5G, UAV and deep learning technologies (2019)
Presentation / Conference Contribution
Razaak, M., Kerdegari, H., Davies, E., Abozariba, R., Broadbent, M., Mason, K., …Remagnino, P. (2019). An integrated precision farming application based on 5G, UAV and deep learning technologies. In Computer Analysis of Images and Patterns (109-119). h

Wireless communication technology has made tremendous progress over the last two decades providing extensive coverage, high data-rate and low-latency. The current major upgrade, the fifth generation (5G) wireless technology promises substantial impro... Read More about An integrated precision farming application based on 5G, UAV and deep learning technologies.