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SaS Seminars
Software and Systems Research Seminar Series
The SaS Seminars are a permanent series of open seminars of the Division of Software and Systems (SaS) at the Department of Computer and Information Science (IDA), Linköping University. The objective of the seminars is to present outstanding research and ideas/problems relevant for SaS present and future activities. In particular, seminars cover the SaS research areas software engineering, programming environments, system software, embedded SW/HW systems, computer systems engineering, realtime systems, parallel and distributed computing, and theoretical computer science. - Two kinds of seminars are planned:
talks by invited speakers not affiliated with SaS,
internal seminars presenting lab research to whole SaS.
The speakers are expected to give a broad perspective of the presented research, adressing the audience with a general computer science background but possibly with no specific knowledge in the domain of the presented research. The normal length of a presentation is 60 minutes, including discussion.
The SaS seminars are coordinated by Ahmed Rezine.
Recent / Upcoming SaS Seminars (2018)
Fog Computing with Reference Attribute Grammars
Prof. Dr. Uwe Aßmann Technical University of Dresden, Germany.
Friday, April 20th, 2018, kl 14:15 room Alan Turing.
Abstract:
Fog Computing is a new reference architecture for sensor networks at the
edge of the cloud. Its basic idea is to process data locally, in complex
sensor nodes, gateways and routers, before moving them into the cloud.
Thereby, it protects privacy by default and delivers speed
(low latency, high bandwidth). Its business perspectives for European
companies are tremendous, because starting from the sensor markets, they
can penetrate the future cloud computing markets.
Fog Computing has a very interesting application area, Robotic
Co-Working. The talk reports about a case study in fog computing: the
Chair of Software Engineering has combined several co-working robots,
such as the KUKA LBR iiwa or the UR-10, with a sensor-equipped jacket
and glove. A fog collects and aggregates all sensor data via a
gateway, a laptop, and a robot server. Starting from this example, we
show how to program a fog, with a world statechart and an adaptive
software platform based on contexts and roles. Fog computing will
enable life with wearables and machines in smarter rooms. Fogs mean
smartness.
Fogs can be programmed with event-based RAGs if events are admitted as
input to an attributed tree. We give some examples of the models that
are required for modeling fogs.
Bio of speaker:
Uwe Assmann is professor for software engineering at the Technical
University of Dresden, Germany. He is also a former member of PELAB.
More information can be found at
Real-Time Fault Localisation using Machine Learning and Microservices Principles
Armin Catovic Technology Specialist, Systems & Technology, Ericsson AB.
Monday, January 22nd, 2018, 13:15 room Alan Turing.
Abstract:
Linnaeus is a lightweight microservice that implements
simple yet powerful machine learning principles for fault detection
and localisation on a continuous log stream. It can be used in both
standalone telecom nodes as well as virtualised network functions
(VNFs). This seminar covers both the machine learning aspects as well
as software design principles. In terms of software design, Linnaeus
exposes the current microservices trend seen in the telecom industry,
as a natural next step in network function virtualisation and general
software architecture.
Bio of speaker:
Armin has been at Ericsson last 10
years. Originally from Melbourne (Australia) he completed a double
degree in Computer Science and Telecom Engineering. Armin started his
career as a contract Delphi programmer and consultant, before finally
entering Ericsson. He worked in Ericsson's global services unit on
large-scale 3G/WCDMA radio integration projects in Australia,
Singapore, Indonesia and Bangladesh, before moving to Linköping R&D on
the then-new 4G/LTE radio system. He worked as a system tester,
developer and systems engineer in Linköping, before moving to
Stockholm where he is currently working as a senior developer in the
context of machine learning and AI.
Previous SaS Seminars
Page responsible: Christoph Kessler
Last updated: 2018-04-12
