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X-WR-CALDESC:Events for TECoSA
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DTSTART:20220101T000000
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230601T150000
DTEND;TZID=UTC:20230601T160000
DTSTAMP:20230321T154444Z
CREATED:20230321T154444Z
LAST-MODIFIED:20230321T154444Z
UID:6242-1685631600-1685635200@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Computation offloading in Edge and cloud environment: Survey\, taxonomy\, applications and open challenges
DESCRIPTION:We aim to bring you a TECoSA Seminar on the first Thursday of each month during term-time. For Spring 2023\, the talks will be on-line or hybrid. All are welcome to attend and we look forward to some lively discussions. Members can accept the invitations\, non-members can email tecosa-admin@kth.se to register.\nOur June seminar is with Ali Balador\, senior researcher and project manager at Ericsson Research.\nThe Zoom link is https://kth-se.zoom.us/j/66857695267. \nABSTRACT:  With the rapid development in the area of Internet of Things (IoT)\, the number of delay-sensitive and computationally intensive IoT applications has drastically increased recently. The resource-constrained nature of the IoT devices\, different characteristics of IoT tasks such as delay sensitivity\, and heterogeneity of the edge cloud servers make the task offloading problem an important challenge in the edge cloud continuum. Offloading can be defined as a mechanism to move the processing or computation from one device to another with more suitable capabilities. The main goal is to move resource-intensive tasks from a device with limited resources to an edge server or cloud server to achieve performance objectives\, such as reducing overall computation time\, minimizing network resources usage\, maximizing battery life. \nOffloading is a flexible mechanism whose implementation depends on use cases or situations. For this reason\, it is very important to study different application domains and use cases to find out which use cases are the most promising and can get benefit of offloading. In this presentation\, I will explore different application domains and use cases and explain why offloading is beneficial. I will also show an offloading taxonomy that helps to understand that flexibility and identify which are the most relevant offloading configurations for different application domains and use cases. \nOne example could be offloading to support time-critical industrial use cases. However\, to ensure deterministic performance and support timing predictability of real-time applications that utilize the edge-cloud continuum\, more enhancements are required in the computation domain and communication domain. In this case\, I will present our initial plans for our new VINNOVA project\, which is called AORTA. We will develop technologies that allow offloading of real-time services and functionality to the edge and cloud. We will build upon recent advances in 5G and cloud and networking technologies\, as well as cutting-edge research results. The AORTA framework will support a fluid compute model where functionality will be dynamically deployed locally\, at the edge\, or in the cloud and support integration and real-time performance irrespective of where they execute. \nBIO:  Dr. Ali Balador graduated in computer science at the Polytechnic University of Valencia\, where he also achieved his Phd on the topic of wireless communication for vehicular environments in 2016. He held the role of Assistant Professor at Mälardalen University for 5 years. He was a visiting researcher at University of Bologna in Italy\, Halmstad University in Sweden\, and the National Institute of Informatics (NII) in Japan. \nAli has a background in a number of industries\, such as automotive\, railway\, healthcare\, and manufacturing but has spent most of his time focusing on the automotive sector\, working in research and development projects where he acted as main technical coordinator or WP leader. He spent 6 years at RISE Research Institute of Sweden where\, he focused on topics such as edge and cloud computing and the combination with artificial intelligence. \nIn April 2022\, he joined Ericsson Research in Sweden in the role of senior researcher and project manager. His own personal research interests include wireless networks\, distributed systems\, cloud and edge computing\, and security & privacy.
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-computation-offloading-in-edge-and-cloud-environment-survey-taxonomy-applications-and-open-challenges/
CATEGORIES:Lectures,Talks,webinar
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DTSTART;TZID=UTC:20230608T130000
DTEND;TZID=UTC:20230608T170000
DTSTAMP:20230406T075403Z
CREATED:20230406T075403Z
LAST-MODIFIED:20230406T075403Z
UID:6377-1686229200-1686243600@www.tecosa.center.kth.se
SUMMARY:12th Quarterly Meeting
DESCRIPTION:The 12th Quarterly Meeting takes place on Thursday 8 June at KTH! \nThe focus will be the inaugaration of the testbeds\, plus more news of the new projects and posters from the TECoSA PhDs. \nAgenda and details will be sent by email to all members.  RSVP by 1 June!
URL:https://www.tecosa.center.kth.se/event/12th-quarterly-meeting/
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230613T090000
DTEND;TZID=UTC:20230613T160000
DTSTAMP:20230224T112436Z
CREATED:20230224T112312Z
LAST-MODIFIED:20230224T112436Z
UID:5712-1686646800-1686672000@www.tecosa.center.kth.se
SUMMARY:Archimedes Stockholm workshop: Integrating systems engineering into university education and establishing it in academia
DESCRIPTION:Launched in 2022\, the Archimedes Initiative is a new collaboration between international Systems Engineering Research Centres\, involving SERC\, ESI/TNO\, DLR (represented by its Institute for SE and future mobility) and KTH (represented by TECoSA and ICES). \nYou can read more about the Archimedes Initiative in the INCOSE INSIGHT Magazine Dec. 2022 issue. \nIn June 2023\, KTH (TECoSA in collaboration with Digital Futures) is hosting a hybrid workshop “Integrating systems engineering into university education and establishing it in academia”.  All with an interest in this topic are welcome to join.  An overview of the agenda is given below\, and you can read more (and register) via the Digital Futures event page: https://www.digitalfutures.kth.se/event/archimedes-stockholm-workshop-13-june/ \n  \nPRELIMINARY AGENDA \n9:00 – 10:15\nWelcome and workshop introduction by Martin Törngren\, KTH\nArchimedes introduction by Martin Törngren KTH\, Wouter Leibbrandt ESI\, and Dinesh Verma SERC\nThe Future of Systems Engineering/Incose by Tom Strandberg\, CAG Syntell\nHuman Systems Integration by Pernilla Ulfvengren\, KTH \n10:15-10:40  Coffee break & mingle \n10:40-12:00\nIndustrial needs with representative talks from Swedish Industry incl sustainability concerns by Tor Ericsson\, AFRY and Anna Pernestål\, Skogforsk (prev. Scania and KTH)\nEducational (best) practices to integrate SE into engineering education by Bill Shepherd\, Stevens Institue of Technology\nUniversity management view on education and systems engineering by Joakim Lilliesköld\, KTH \n12:00-13:00  LUNCH \n13:00-14:30  Group work sessions: How to introduce SE at Universities and in engineering education – incl. coffee break \n14:30-15:30  Plenary summaries from groups and concluding discussion \n15:30-16:00 Next steps
URL:https://www.tecosa.center.kth.se/event/archimedes-stockholm-workshop-integrating-systems-engineering-into-university-education-and-establishing-it-in-academia/
CATEGORIES:Workshops
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230615T130000
DTEND;TZID=UTC:20230615T160000
DTSTAMP:20230524T080447Z
CREATED:20230523T141549Z
LAST-MODIFIED:20230524T080447Z
UID:6478-1686834000-1686844800@www.tecosa.center.kth.se
SUMMARY:PhD Defense: “An Emulation-Based Performance Evaluation Methodology for Edge Computing and Latency Sensitive Applications”
DESCRIPTION:TECoSA PhD student Manuel Olguin will defend his thesis at KTH Campus (U61).  All with an interest in this topic are welcome to attend. \nABSTRACT:  Cloud Computing has greatly impacted our daily lives by providing global accessibility and virtually unlimited scalability. However\, its centralized architecture prioritizing availability and scale has limitations for real-time processing and low-latency applications like Cyber-Physical Systems (CPSs) and mobile eXtended Reality (XR). Edge Computing is emerging as a solution to these limitations by bringing computation closer to the network edge\, enabling real-time decision making. A key challenge to mass deployment of Edge Computing infrastructure relates to the complexity of evaluation the performance of these systems\, which stems from the tight interaction of network and compute. This dissertation addresses this challenge by introducing a methodological approach for studying trade-offs in latency-sensitive applications deployed on Edge Computing which involves emulating the client-side workload while retaining the rest of the system. This maintains the realism of network and compute effects\, offering advantages in efficiency with respect to fully experimental approaches and capturing complex factors that are challenging to model analytically or in simulations. \nFurthermore\, this dissertation explores the implications of this methodology on the potential for optimization in Edge Computing deployments\, in particular with respect to improved accuracy in the emulation. In that context\, the dissertation provides a realistic model of human timings for a specific class of Mobile Augmented Reality (MAR) applications which is combined with a mathematical framework for the optimization of sampling systems. The results show that the introduced methodology improves efficiency\, repeatability\, and replicability compared to existing methods. By integrating workload components into the emulated software domain\, it reduces complexity while considering the complex effects of network and compute factors. The dissertation emphasizes the importance of incorporating enhanced realism in client-side emulation\, which enables the implementation of optimization approaches that would otherwise be infeasible\, and further highlights the significance of human behavior in addition to system-related metrics in the context of MAR\, a killer use-case for Edge Computing. \nDetails of the panel are shown below: \nPrincipal Supervisor: Professor James Gross\nDefense Chair: Professor Mats Bengtsson\nOpponent: Associate Professor Yu Xiao\, Aalto University\, Esbo\, Finland \nMembers of the Grading Committee:\nProfessor Ana Aguiar\, Universidade do Porto\, Portugal\nProfessor Per Gunningberg\, Uppsala University\, Sweden\nProfessor Klaus Wehrle\, RWTH Aachen University\, Germany
URL:https://www.tecosa.center.kth.se/event/phd-defense-an-emulation-based-performance-evaluation-methodology-for-edge-computing-and-latency-sensitive-applications/
CATEGORIES:PhD defense
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230616T120000
DTEND;TZID=UTC:20230616T130000
DTSTAMP:20230614T100341Z
CREATED:20230614T100304Z
LAST-MODIFIED:20230614T100341Z
UID:6531-1686916800-1686920400@www.tecosa.center.kth.se
SUMMARY:TECoSA Research Seminar: An Approach to Multi-Agent Planning from Spatio-Temporal Specifications
DESCRIPTION:Speaker: Georg Schupp\, TECoSA PhD\nLocation: KTH Campus (Teknikringen 14\, room 304)\nZoom link and sign-up link circulated to members\nPlease email vickid@kth.se if you have any questions. \nABSTRACT:  When deploying autonomous robots into the real world\, we desire for them to be safe and to work as intended. One increasingly popular way to approach this challenging problem is through a formal methods framework\, which combines two great advantages: \n(i) The ability to rigorously describe various involved tasks and constraints on the robot’s behavior through temporal logics\, such as Linear Temporal Logic (LTL); and \n(ii) Generic algorithms to compute plans that are correct by design\, i.e. provably satisfy the logic formula. \nDirectly applying techniques from formal methods to multi-agent task planning problems poses several challenges and confronts the designer of such problem solving algorithms with several key design decisions. In this talk\, we explore how to model computational and human actors  coexisting in a shared environment\, each with their own capabilities and goals. We present a unified framework that computes minimal assumptions on the behaviour of human actors and robots and communicates them as least-limiting advisers. \n 
URL:https://www.tecosa.center.kth.se/event/tecosa-research-seminar-an-approach-to-multi-agent-planning-from-spatio-temporal-specifications/
CATEGORIES:Talks
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BEGIN:VEVENT
DTSTART;TZID=UTC:20230619T150000
DTEND;TZID=UTC:20230619T163000
DTSTAMP:20230523T121904Z
CREATED:20230523T114955Z
LAST-MODIFIED:20230523T121904Z
UID:6474-1687186800-1687192200@www.tecosa.center.kth.se
SUMMARY:Safe Reinforcement Learning for Real-time Dose-based Adaptive Radiotherapy
DESCRIPTION:TECoSA industrial PhD student Kenneth Lau (Elekta)\, will present his work so far as a “30% seminar”.  All with an interest in the topic are welcome to join\, via Zoom (https://kth-se.zoom.us/j/620751730409) or in real life on KTH Campus (Teknikringen 14\, room 304\, floor 3).  \nABSTRACT: External beam radiotherapy treats tumors using radiation beams from outside the patient’s body. However\, radiation to healthy tissues can cause side effects. Current treatment planning methods use static patient images to modulate radiation beams and do not account for stochastic patient motions\, such as heartbeat and breathing. This can lead to discrepancies between the plan and actual radiation delivery. MR-Linac is a recent breakthrough that allows us to visualize a patient’s anatomy in real-time. However\, traditional dose-based adaptative radiotherapy methods are too slow to compute in real-time. We propose to use reinforcement learning for real-time dose-based adaptive radiotherapy.
URL:https://www.tecosa.center.kth.se/event/safe-reinforcement-learning-for-real-time-dose-based-adaptive-radiotherapy/
CATEGORIES:Talks
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