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X-WR-CALDESC:Events for TECoSA
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210401T150000
DTEND;TZID=UTC:20210401T163000
DTSTAMP:20210203T072255Z
CREATED:20200914T073437Z
LAST-MODIFIED:20210203T072255Z
UID:3057-1617289200-1617294600@www.tecosa.center.kth.se
SUMMARY:TECoSA Seminar - Edge Intelligence: The Surprises\, Risks and Lessons
DESCRIPTION:We aim to bring you a TECoSA Seminar at kl.15 on the first Thursday of each month. This Spring they will be on-line\, and all are welcome to join. Each invited speaker will talk for about 40 minutes\, followed by a panel discussion coordinated by TECoSA members.\nAaron Ding\nThe sixth speaker in our series is Asst Prof Aaron Ding\, Assistant Professor in Engineering Systems & Services at TU Delft and Adjunct Professor in Computer Science at University of Helsinki .You can read more at: http://homepage.tudelft.nl/8e79t/ \nPanel: James Gross (Chair)\, Tor Ericson (AFRY)\, Raksha Ramkrishna (KTH) \nPlease email tecosa-admin@kth.se to register! \nEdge Intelligence: The Surprises\, Risks and Lessons  \nABSTRACT: Similar to the transition from Cloud to Cloud Intelligence\, we are witnessing a fast evolution from the Internet of Things to the Internet of Intelligent Things (IoIT). The IoIT paves the way to a programmable infrastructure that can consolidate the power of the Cloud and distributed computing resources to enhance performance\, resilience\, and quality of experience for users. The envisioned programmable infrastructure has the potential to bring our society to the next level\, by making it more intelligent\, more sustainable\, healthier\, and forging innovations in numerous fields such as autonomous driving\, smart energy\, logistics\, and e-health. \nBehind the curtains\, one of the key enablers for this vision is Edge Intelligence – a powerful combination of edge computing and artificial intelligence. This talk will present my investigations on Edge Intelligence with a system flavor. Besides sharing my first-hand experience of system design and development\, the talk will reveal several pitfalls and lessons learned through live cases. The goal is twofold: 1) to disclose blind spots and interesting directions that deserve further investigations in our community\, and 2) to share my observations on doing system research in such “buzzword bingo” domain\, especially what could hinder us from transferring the mostly fun system work into solid scientific outcome. \nDates in the Seminar Series include: 1 October\, 5 November\, 3 December\, 4 February\, 4 March\, 1 April\, 6 May\, 3 June
URL:https://www.tecosa.center.kth.se/event/tecosa-seminar-edge-intelligence-surprises-risks-and-lessons/
CATEGORIES:Talks
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DTSTART;TZID=UTC:20210415T130000
DTEND;TZID=UTC:20210415T170000
DTSTAMP:20210310T091529Z
CREATED:20210310T091414Z
LAST-MODIFIED:20210310T091529Z
UID:3379-1618491600-1618506000@www.tecosa.center.kth.se
SUMMARY:Resilient Resource Allocation for Service Placement in Mobile Edge Clouds
DESCRIPTION:TECoSA PhD student Peiyue Zhao will defend his thesis – abstract below.  All are welcome to join. Please contact peiyue @ kth.se for the link. \nAbstract \nMobile edge computing makes available distributed computation and storage resources in close proximity to end users and allows to provide low-latency and high-capacity services within mobile networks. Therefore\, mobile edge computing is emerging as a promising architecture for hosting critical services with stringent latency and performance requirements\, which otherwise are challenging to be addressed in conventional cloud computing architectures. Notable use cases of mobile edge computing include real-time data analytic services\, industrial process control\, and computation offloading for massive Internet of things devices. However\, those services rely on efficient resource management\, including resource dimensioning and service placement\, and require to be resilient to cyber-attacks\, to faulty components and to operation mistakes. The work in this thesis proposes models of resilient resource management that support rapid response to incidents in mobile edge computing and develops efficient algorithms for the resulting resource management problems.​ \nIn the first part of the thesis\, we consider resilient resource management for edge computing systems in which failover is realized by restoring additional service instances in different mobile edge computing nodes in case of failures. We first develop a placement algorithm based on Benders decomposition and linear relaxation to determine the mobile edge computing nodes to be opened and to compute the placement of the service instances with respect to a set of considered failure scenarios\, with the objective of minimizing operation costs. Upon the occurrence of a failure scenario\, service migration is to be triggered to migrate the service instances from one placement to another placement\, for which we further develop service migration algorithms to schedule migration under time constraints\, so as to minimize service interruptions. \nIn the second part of the thesis\, we consider resilient resource management in mobile edge computing for services with different levels of resilience requirements. Resilience is achieved by synchronizing states of the services to two types of standby instances that maintain the trade-off between energy consumption and activation time such that the standby instances can take over the service seamlessly as an instantaneous failure response. We formulate the joint problem of resource dimensioning and service placement for minimizing energy consumption and prove that it is NP-hard. We propose an efficient approximation algorithm based on Lagrangian relaxation to decide the type\, amount\, and locations of the computation resources and to compute the placement of service instances and their associated standby instances. We then consider the same resilience model but for hosting periodic services in mobile edge computing systems with resources portioned into availability zones\, under schedulability constraints. We formulate the corresponding resilient resource management problem as a non-linear programming problem and prove that it is NP-hard. We propose efficient solutions based on approximation programming and primal-dual approaches for resilient service placement. \nBy considering different models of resilient service placement in mobile edge computing\, the results in this thesis provide effective\, efficient\, and scalable resource management algorithms for emerging mobile edge computing systems.
URL:https://www.tecosa.center.kth.se/event/resilient-resource-allocation-for-service-placement-in-mobile-edge-clouds/
CATEGORIES:PhD defense
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BEGIN:VEVENT
DTSTART;TZID=UTC:20210422T090000
DTEND;TZID=UTC:20210422T120000
DTSTAMP:20210316T104627Z
CREATED:20201001T100313Z
LAST-MODIFIED:20210316T104627Z
UID:3193-1619082000-1619092800@www.tecosa.center.kth.se
SUMMARY:Research Forum (Workshop 2): Innovator’s DNA skill guide applied to research questions or challenges
DESCRIPTION:Since the first Workshop in November\, the PhD students within TECoSA have been exploring their research question or challenge using the Innovator’s DNA skill guide\, developed at MIT. \nDuring this session\, we will introduce the method within the Center and give the students as well as industrial partners a possibility to get new perspectives on their challenges. \nPreparation: Bring your research question or challenge (Ph.D.-students) / Bring any challenge that you currently are facing (Industry/Teachers) \nFrom Spring  2021\, the Research Forum will be open to all TECoSA members\, from academia and industry alike\, by invitation to tecos-all.  Facilitator: Martin Karlsson (martink9@kth.se)
URL:https://www.tecosa.center.kth.se/event/research-forum-workshop-2/
CATEGORIES:Workshops
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DTSTART;TZID=UTC:20210422T090000
DTEND;TZID=UTC:20210422T170000
DTSTAMP:20210420T083753Z
CREATED:20210420T083753Z
LAST-MODIFIED:20210420T083753Z
UID:3504-1619082000-1619110800@www.tecosa.center.kth.se
SUMMARY:Next Generation IoT and Edge Computing Strategy Forum
DESCRIPTION:Views on a strategic European vision for (Far) Edge Computing in the Next-Generation Internet of Things\nThere are a few seats left for this on-line workshop\, which offers talks and discussions on System Integration Platforms\, Ecosystems and Alliances\, Trust and Trustworthiness and Visionary Concepts. \nTECoSA Director Martin Törngren will be taking part in the Visionary Concepts panel\, considering key questions such as: \n* What are new emerging concepts that address the emerging IoT and edge orchestration paradigms?\n* Which are the main challenges for their implementation\, and which players would be needed?\n* What is the time horizon by which these concepts are expected to be mature for market adoption?\n* Where do you see the role of European partnerships and the potential relevance of their roadmaps? \n \n  \nYou can find out more and register for this event via:\nhttps://app.swapcard.com/event/next-generation-iot-and-edge-computing-strategy-forum
URL:https://www.tecosa.center.kth.se/event/next-generation-iot-and-edge-computing-strategy-forum/
CATEGORIES:Talks,Workshops
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