University roles and responsibilities
- STARS Undergraduate Mentor
-Abnormal electrical conduction in the heart.
-Circadian rhythms in the heart.
-Thermosensitive hydrogels as a vaccine delivery system.
hint framework. In this framework, a mobile edge hint server offline collects the meta-data of popular webpages as well as the network condition and performs online hints of such information upon receiving the user request. Then the user can execute a novel algorithm to select an optimal connection number by understanding the specific network condition and content characteristics
through the edge hint. Both numerical and test-bed based results validate that this framework
can bring a noticeable acceleration of webpage downloading. Second, we turned our attention to
the computation latency which is caused by the unavoidable computation task during webpage
downloading. We seek for a transport layer approach since pure application layer approaches are
recognised to have practicality and security limitation. To this end, a non-URL based mobile
edge computing framework is proposed to serve a novel transport layer IW selection algorithm at
the client side. This framework is validated to have remarkable performance improvement when
computation latency occupies less than 50% of total downloading time. Third, we investigated
QUIC's performance on web content, especially in the presence of network uncertainties. The
evaluation results carried out on real mobile networks reveal that the different congestion control
algorithms plugged in QUIC can lead to distinctive shortages under network fluctuations.
Then we proposed a mQUIC scheme which performs a customised state and congestion window
synchronisation algorithm based on multiple coordinated connections. We conducted extensive
evaluations of mQUIC and the results substantiated faster and robust downloading time can be
achieved by mQUIC when compared to plain QUIC enable contents.