Date/Time
Date(s) - 03/09/2018
12:00 pm - 5:30 pm
Location
School of Informatics, University of Edinburgh
The 20th SCONE will be hosted by the University of Edinburgh and is sponsored by the Scottish Informatics & Computer Science Alliance (SICSA).
Please register via Eventbrite
As per the established tradition, SCONE will be an informal gathering of researchers working on networking and systems topics in (and around) Scotland.
PhD students and postdocs are particularly encouraged to give short presentations of their work. As always, there will be opportunities to discuss fresh ideas, get friendly feedback, and meet and chat with others working on similar topics.
Venue
Informatics Forum, 10 Crichton Street , Edinburgh, EH8 9AB
Keynote
Speaker: Eiko Yoneki, University of Cambridge/Alan Turing Institute
Title: Efficient Massive-Scale Graph Processing
Abstract: The emergence of big data requires fundamental new methodology for data analysis, processing and information extraction. The main challenge here is to perform efficient and robust data processing, while adapting to the underlying resource availability in a dynamic, large-scale computing environment. Do we really need high-performance computers or large cluster computing? I will introduce our recent work on the graph processing that features billion- scale of vertices and edges in a commodity single computer, which requires secondary storage as external memory. Executing algorithms results in access to such secondary storage and performance of I/O becomes important, regardless of the algorithmic complexity or runtime efficiency of the actual algorithm in use.
Bio: Eiko Yoneki is a Research Fellow in the Systems Research Group of the University of Cambridge Computer Laboratory and a Turing Fellow at the Alan Turing Institute. Her research focusses on auto-tuning of data processing/analytics framework to deal with complex parameter space using machine learning for efficient parallel processing on scheduling and load balancing. She also works on projects with African countries, including modelling of infectious disease spread using remote sensing techniques. For example she aims at supporting farmers by early detection of crop bugs or diseases by applying sensing and image analysis with machine learning.
Schedule
12:00-13:00 – Lunch
13:00-15:00 – Talks
- Keynote: “Efficient Massive-Scale Graph Processing”, Eiko Yoneki (Cambridge/Turing)
- “Multi-resolution sketches and locality sensitive hashing for fast trajectory processing”, Maria Astefanoaei (Edinburgh)
- “Representation Learning in Graph Analysis”, Kin Sum Liu (Stony Brook)
- “Model-based Integration Testing Techniques for IoT Systems: Current Challenges and Possible Solutions”, Miroslav Bures (Abertay/Czech TU)
15:00-15:30 – Coffee & Scones
15:30-16:30 – Talks
- “Long-Term Mobile Traffic Forecasting Using Deep Spatio-Temporal Neural Networks”, Chaoyun Zhang (Edinburgh)
- “Improving Direct-Control Reinforcement Learning for Network Intrusion Prevention”, Kyle Simpson (Glasgow)
- “Topological Signatures For Fast Mobility Analysis”, Abhirup Ghosh (Edinburgh)
16:30-17:30 – Community discussions / Announcements
17:30- Pub + dinner
