Scottish Networking Event (SCONE) #20
3 September 2018
/ scone
The
20th Scottish Networking Event was held at the University of
Edinburgh on 3 September 2018. SCONE is the Scottish Networking Event,
an informal gathering of networking and systems researchers in and
around Scotland.
The meeting began with a keynote on "Efficient Massive-Scale Graph
Processing" by Eiko Yoneki of the University of Cambridge, discussing
machine learning and Bayesian auto-tuning for distributed systems used
for graph processing.
The remainder of the first session comprised three short talks:
Maria Astefanoaei from Edinburgh spoke about "Multi-resolution sketches
and locality sensitive hashing for fast trajectory processing",
Kin Sum Liu from SUNY Stony Brook, visiting Edinburgh for a summer
internship, discussed "Representation Learning in Graph Analysis".
Finally Miroslav Bures from the Czech Technical University in Prague,
visiting the University of Abertay, spoke on "Model-based Integration
Testing Techniques for IoT Systems: Current Challenges and Possible
Solutions".
The meeting resumed after a break for coffee and scones with three more
short talks.
Chaoyun Zhang from Edinburgh discussed mobile traffic forecasting using
neural networks,
Kyle Simpson from Glasgow discussed machine learning for network intrusion
prevention,
and Abhirup Ghosh from Edinburgh spoke about "Topological Signatures For
Fast Mobility Analysis".
The meeting concluded with community discussion and announcements,
followed by drinks and dinner.