BEGIN:VCALENDAR VERSION:2.0 PRODID:-//My Calendar//http://www.joedolson.com//v//EN METHOD:PUBLISH CALSCALE:GREGORIAN X-WR-CALNAME:POLARIS X-PUBLISHED-TTL:PT24H REFRESH-INTERVAL;VALUE=DURATION:PT24H X-WR-CALDESC:Events from POLARIS BEGIN:VEVENT UID:127-109 LOCATION:Bâtiment IMAG (406) Saint-Martin-d'Hères 38400 SUMMARY:A data structure for analyzing spatio-temporal correlations of alarms, by Anne Bouillard (Nokia) DTSTAMP:20180504T140000 ORGANIZER;CN=Bruno GAUJAL:MAILTO:bruno.gaujal@inria.fr DTSTART;TZID=Europe/Paris:20180504T140000 DTEND;TZID=Europe/Paris:20180504T150000 URL;VALUE=URI:https://team.inria.fr/polaris/mc-events/a-data-structure-for-analyzing-spatio-temporal-correlations-of-alarms-by-anne-bouillard-nokia/ DESCRIPTION:In this talk, I will present a data structure for the analysis of correlations of alarms, for root-cause analysis or prediction purposes. This is a joint work with Marc-Olivier Buob and Maxime Raynal (intern). A sequence of alarms is modeled by a directed acyclic graph. The nodes of the graph are the alarms, that are… CATEGORIES:SeminarsSeminars END:VEVENT BEGIN:VEVENT UID:129-106 LOCATION:Bat. IMAG, 206 SUMMARY:Analytical Modeling for Flow-level Performance of Randomly Placed Wireless Networks by George Arvanitakis (postdoc, Polaris) DTSTAMP:20180531T140000 ORGANIZER;CN=Bruno GAUJAL:MAILTO:bruno.gaujal@inria.fr DTSTART;TZID=Europe/Paris:20180531T140000 DTEND;TZID=Europe/Paris:20180531T150000 URL;VALUE=URI:https://team.inria.fr/polaris/mc-events/analytical-modeling-for-flow-level-performance-of-randomly-placed-wireless-networks-by-george-arvanitakis-postdoc-polaris/ DESCRIPTION:The recent evolution of mobile communications and the widespread use of ``smart'' mobile devices have radically changed the behavior and the needs of the mobile user. In the developed world, people that use their mobile devices just to place some calls and to text some SMS can be characterized as endangered species. Ubiquitous access to… CATEGORIES:SeminarsSeminars END:VEVENT BEGIN:VEVENT UID:118-101 LOCATION: SUMMARY:Keynote du LIG: Erol Gelenbe DTSTAMP:20180607T140000 ORGANIZER;CN=Bruno GAUJAL:MAILTO:bruno.gaujal@inria.fr DTSTART;TZID=Europe/Paris:20180607T140000 DTEND;TZID=Europe/Paris:20180607T150000 URL;VALUE=URI:https://team.inria.fr/polaris/mc-events/keynote-du-lig-erol-gelenbe/ DESCRIPTION:TBA CATEGORIES:SeminarsSeminars END:VEVENT BEGIN:VEVENT UID:134-113 LOCATION:Bat. IMAG, 206 SUMMARY:Towards a control-theory approach for minimizing unused grid resources, by Agustín Yabo (Master 2, Datamove + Ctrl-A) DTSTAMP:20180614T140000 ORGANIZER;CN=Bruno GAUJAL:MAILTO:bruno.gaujal@inria.fr DTSTART;TZID=Europe/Paris:20180614T140000 DTEND;TZID=Europe/Paris:20180614T150000 URL;VALUE=URI:https://team.inria.fr/polaris/mc-events/towards-a-control-theory-approach-for-minimizing-unused-grid-resources-by-agustin-yabo-master-2-datamove-ctrl-a/ DESCRIPTION:HPC systems are facing more and more variability in their behavior, related to e.g., performance and power consumption, and the fact that they are less predictable requires more runtime management. This can be done in an Autonomic Management feedback loop, in response to monitored information in the systems, by analysis of this data and utilization… CATEGORIES:SeminarsSeminars END:VEVENT BEGIN:VEVENT UID:139-115 LOCATION:Bâtiment IMAG (206) SUMMARY:Pré-soutenances M2R DATAMOVE/POLARIS DTSTAMP:20180621T093000 ORGANIZER;CN=Arnaud LEGRAND:MAILTO:arnaud.legrand@inria.fr DTSTART;TZID=Europe/Paris:20180621T093000 DTEND;TZID=Europe/Paris:20180621T120000 URL;VALUE=URI:https://team.inria.fr/polaris/mc-events/pre-soutenances-m2r-datamovepolaris/ DESCRIPTION:Emelianov Vitalli Janon Alexis Colao Henrique Zuhlhusni Abdul CATEGORIES:SeminarsSeminars END:VEVENT BEGIN:VEVENT UID:131-111 LOCATION:Bat. IMAG, 306 SUMMARY:A Flexible Distributed Optimization Scheme with Asynchronous, Scarse, and Sparse Communications, by Franck Iutzeler (LJK) DTSTAMP:20180621T140000 ORGANIZER;CN=Bruno GAUJAL:MAILTO:bruno.gaujal@inria.fr DTSTART;TZID=Europe/Paris:20180621T140000 DTEND;TZID=Europe/Paris:20180621T150000 URL;VALUE=URI:https://team.inria.fr/polaris/mc-events/a-flexible-distributed-optimization-scheme-with-asynchronous-scarse-and-sparse-communications-by-franck-iutzeler-ljk/ DESCRIPTION:We present an asynchronous algorithm for distributed convex optimization when the objective writes a sum of smooth functions, local to each worker, and a non-smooth function. This kind of problem typically appears when learning over distributed data. Unlike many existing methods, our algorithm is adjustable to various levels of communication cost, delays, machines computational power.… CATEGORIES:SeminarsSeminars END:VEVENT BEGIN:VEVENT UID:138-116 LOCATION:Bâtiment IMAG (206) SUMMARY:Pré-soutenances M2R DATAMOVE/POLARIS DTSTAMP:20180622T100000 ORGANIZER;CN=Arnaud LEGRAND:MAILTO:arnaud.legrand@inria.fr DTSTART;TZID=Europe/Paris:20180622T100000 DTEND;TZID=Europe/Paris:20180622T120000 URL;VALUE=URI:https://team.inria.fr/polaris/mc-events/pre-soutenances-m2r-datamovepolaris-2/ DESCRIPTION:Gautheron Flora Roussillon Benjamin Dogeas Kostas CATEGORIES:SeminarsSeminars END:VEVENT BEGIN:VEVENT UID:135-114 LOCATION:Bâtiment IMAG Saint-Martin-d'Hères 38400 SUMMARY:Pré-soutenance de thèse de Benoit Vinot DTSTAMP:20180622T140000 ORGANIZER;CN=Nicolas GAST:MAILTO:nicolas.gast@inria.fr DTSTART;TZID=Europe/Paris:20180622T140000 DTEND;TZID=Europe/Paris:20180622T150000 URL;VALUE=URI:https://team.inria.fr/polaris/mc-events/pre-soutenance-de-these-de-benoit-vinot/ DESCRIPTION:Conception d'un système d'information distribué pour la conduite des flexibilités dans un réseau de distribution électrique: modélisation, simulation et implémentation Résumé français : Le secteur industriel de l'énergie, et les réseaux électriques en particulier, rendent à nos sociétés modernes d'immenses services dont nous ne pouvons plus nous passer. Ils présentent aussi, hélas, un certain nombre… CATEGORIES:SeminarsSeminars END:VEVENT BEGIN:VEVENT UID:140-117 LOCATION:Bâtiment IMAG (206) SUMMARY:Real-Time Scheduling Policy Selection using Machine Learning by Raphael Camargo(Sao Paulo) DTSTAMP:20180628T140000 ORGANIZER;CN=Bruno GAUJAL:MAILTO:bruno.gaujal@inria.fr DTSTART;TZID=Europe/Paris:20180628T140000 DTEND;TZID=Europe/Paris:20180628T150000 URL;VALUE=URI:https://team.inria.fr/polaris/mc-events/real-time-scheduling-policy-selection-using-machine-learning-by-raphael-camargosao-paulo/ DESCRIPTION:We present a real-time scheduling policy selection algorithm, which takes as input the running queue job characteristics and machine states. We evaluated the use of logistic regression and support vector machines to perform the mapping from queue and machine state to selected scheduling policy. The machine learning algorithms are trained and evaluated using simulations configured… CATEGORIES:SeminarsSeminars END:VEVENT END:VCALENDAR