The Microlab experience in bridging the gap between academia and industry through collaborations on research projects and technology clusters. Microlab is a member of three technology clusters supported by Corallia focused on nano/microelectronics, space technologies, and gaming/creative content. Microlab provides services to cluster members and works with industry on applications in domains including multimedia, trusted computing, medical devices, microelectronics, space, and energy through European Commission funded projects.
Sustainable IT for Energy Management: Approaches, Challenges, and TrendsEdward Curry
An invited talk to the Galway-Mayo Institute of Technology on the current state of the art in Sustainable IT for energy management, the challenges, and the emerging trends.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/dec-2016-member-meeting-uofw
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Professor Jeff Bilmes of the University of Washington delivers the presentation "Image and Video Summarization" at the December 2016 Embedded Vision Alliance Member Meeting. Bilmes provides an overview of the state of the art in image and video summarization.
Taming limits with approximate networkingJunaid Qadir
Internet is the linchpin of modern society, which the various threads of modern life weave around. But being a part of the bigger energy- guzzling industrial economy, it is vulnerable to disruption. It is widely believed that our society is exhausting its vital resources to meet our energy requirements, and the cheap fossil fuel fiesta will soon abate as we cross the tipping point of global oil production. We will then enter the long arc of scarcity, constraints, and limits— a post-peak “long emergency” that may subsist for a long time. To avoid the collapse of the networking ecosystem in this long emer- gency, it is imperative that we start thinking about how network- ing should adapt to these adverse “undeveloping” societal condi- tions. We propose using the idea of “approximate networking”— which will provide good-enough networking services by employ- ing contextually-appropriate tradeoffs—to survive, or even thrive, in the conditions of scarcity and limits.
See the video at: https://www.youtube.com/watch?v=4hKvgIi-HZY
Sustainable IT for Energy Management: Approaches, Challenges, and TrendsEdward Curry
An invited talk to the Galway-Mayo Institute of Technology on the current state of the art in Sustainable IT for energy management, the challenges, and the emerging trends.
For the full video of this presentation, please visit:
http://www.embedded-vision.com/platinum-members/embedded-vision-alliance/embedded-vision-training/videos/pages/dec-2016-member-meeting-uofw
For more information about embedded vision, please visit:
http://www.embedded-vision.com
Professor Jeff Bilmes of the University of Washington delivers the presentation "Image and Video Summarization" at the December 2016 Embedded Vision Alliance Member Meeting. Bilmes provides an overview of the state of the art in image and video summarization.
Taming limits with approximate networkingJunaid Qadir
Internet is the linchpin of modern society, which the various threads of modern life weave around. But being a part of the bigger energy- guzzling industrial economy, it is vulnerable to disruption. It is widely believed that our society is exhausting its vital resources to meet our energy requirements, and the cheap fossil fuel fiesta will soon abate as we cross the tipping point of global oil production. We will then enter the long arc of scarcity, constraints, and limits— a post-peak “long emergency” that may subsist for a long time. To avoid the collapse of the networking ecosystem in this long emer- gency, it is imperative that we start thinking about how network- ing should adapt to these adverse “undeveloping” societal condi- tions. We propose using the idea of “approximate networking”— which will provide good-enough networking services by employ- ing contextually-appropriate tradeoffs—to survive, or even thrive, in the conditions of scarcity and limits.
See the video at: https://www.youtube.com/watch?v=4hKvgIi-HZY
Adoption of Cloud Computing in Scientific ResearchYehia El-khatib
Some might say the scientific research community is somewhat behind the curve of adopting the cloud. In this talk, I present a few examples of adopting the cloud from the wider research community. I also highlight some of the aspects by which cloud computing could affect scientific research in the near future and the associated challenges.
RECAP at ETSI Experiential Network Intelligence (ENI) MeetingRECAP Project
This presentation was delivered by Johan Forsman (Tieto), Jörg Domaschka (UULM) and Paolo Casari (IMDEA Networks) at the ETSI Experiential Network Intelligence (ENI) Meeting in Warsaw, Poland, on April 12th, 2019. ETSI Experiential Networked Industry Specification Group (ENI ISG) work on defining a Cognitive Network Management architecture using Artificial Intelligence (AI) techniques and context-aware policies to adjust offered services based on changes in user needs, environmental conditions and business goals. The intention is that the use of Artificial Intelligence techniques in the network management system should solve some of the problems of future network deployment and operations. For more information, see https://www.etsi.org/technologies/experiential-networked-intelligence.
(R)evolution of the computing continuum - A few challengesFrederic Desprez
Initially proposed to interconnect computers worldwide, the Internet has significantly evolved to become in two decades a key element in almost all our activities. This (r)evolution mainly relies on the progress that has been achieved in computation and communication fields and that has led to the well-known and widely spread Cloud Computing paradigm.
With the emergence of the Internet of Things (IoT), stakeholders expect a new revolution that will push, once again, the limits of the Internet, in particular by favouring the convergence between physical and virtual worlds. This convergence is about to be made possible thanks to the development of minimalist sensors as well as complex industrial physical machines that can be connected to the Internet through edge computing infrastructures.
Among the obstacles to this new generation of Internet services is the development of a convenient and powerful framework that should allow operators, and devops, to manage the life-cycle of both the digital infrastructures and the applications deployed on top of these infrastructures, throughout the cloud to IoT continuum.
In this keynote, Frédéric Desprez and his colleague Adrien Lebre presented research issues and provide preliminary answers to identify whether the challenges brought by this new paradigm is an evolution or a revolution for our community.
Interoperability and scalability with microservices in scienceOla Spjuth
Microservices have emerged as a modern interpretation of service-oriented architectures where processes are small and communicate over a network using lightweight protocols to fulfill a goal.
In this talk I will present our work on microservices, and how they can be used to empower interoperable and scalable analysis services and pipelines in virtual infrastructures on cloud computing resources.
I will also give examples and experiences from the PhenoMeNal H2020 project where a developer community in metabolomics is moving to such architecture.
Towards application development for the internet of things updatedPankesh Patel
The Internet of Things (IoT) integrates the physical world with the existing Internet, and is rapidly gaining popularity, thanks to the increased adoption of smart phones and sensing devices. One of the important challenges in this domain is to enable domain experts to easily specify applications for the IoT. As a
first step towards developing a suitable programming
abstraction, in this paper we present a domain
model for applications in the Internet of Things, based on a
survey of recently proposed IoT applications from the real
world that represent a wide class of behaviors found in IoT
use cases.
Un cloud pour comparer nos gènes aux images du cerveau" Le pionnier des bases de données, aujourd'hui disparu, Jim Gray avait annoncé en 2007 l'emergence d'un 4eme paradigme scientifique: celui d'une recherche scientifique numérique entierement guidée par l'exploration de données massives. Cette vision est aujourd'hui la réalité de tous les jours dans les laboratoire de recherche scientifique, et elle va bien au delà de ce que l'on appelle communément "BIG DATA". Microsoft Research et Inria on démarré en 2010 un projet intitulé Azure-Brain (ou A-Brain) dont l'originalité consiste à a la fois construire au dessus de Windows Azure une nouvelle plateforme d'acces aux données massives pour les applications scientifiques, et de se confronter à la réalité de la recherche scientifique. Dans cette session nous vous proposons dans une premiere partie de resituer les enjeux recherche concernant la gestion de données massives dans le cloud, et ensuite de vous presenter la plateforme "TOMUS Blob" cloud storage optimisé sur Azure. Enfin nous vous presenterons le projet A-Brain et les résultats que nous avons obtenus: La neuro-imagerie contribue au diagnostic de certaines maladies du système nerveux. Mais nos cerveaux s'avèrent tous un peu différents les uns des autres. Cette variabilité complique l'interprétation médicale. D'où l'idée de corréler ldes images IRM du cerveaux et le patrimoine génétique de chaque patient afin de mieux délimiter les régions cérébrales qui présentent un intérêt symptomatique. Les images IRM haute définition de ce projet sont produites par la plate-forme Neurospin du CEA (Saclay). Problème pour Les chercheurs : la masse d'informations à traiter. Le CV génétique d'un individu comporte environ un million de données. À cela s'ajoutent des volumes tout aussi colossaux de pixel 3D pour décrire les images. Un data deluge: des peta octets de donnés et potentiellement des années de calcul. C'est donc ici qu'entre en jeu le cloud et une plateforme optimisée sur Azure pour traiter des applications massivement parallèles sur des données massives... Comme l'explique Gabriel Antoniu, son responsable, cette équipe de recherche rennaise a développé “des mécanismes de stockage efficaces pour améliorer l'accès à ces données massives et optimiser leur traitement. Nos développements permettent de répondre aux besoins applicatifs de nos collègues de Saclay.
Cyber Resilient Energy Delivery Consortium - OverviewCheri Soliday
Brief overview of cutting edge R&D that is used to increase cybersecurity and cyber resiliency of Energy Delivery Systems (EDS). Authored by Dilhan Rodrigo, Information Trust Institute, University of Illinois at Urbana-Champaign.
CloudLighting - A Brief Overview presented by Prof John Morrison at the Fifth National Conference on Cloud Computing and Commerce (NC4 2016).
The presentation covered project's funding and consortium, specific challenge, typical IaaS cloud usage, project's goals and ambitions, the CloudLighting architecture, beneficiaries and challenges ahead.
In this video, Prof. John Morrison from University College Cork describes the CloudLightning project. CloudLightning’s vision is a European economy that thrives and leads the world in the provision and adoption of high performance cloud computing services. Funded by the European Commission’s Horizon 2020 Program, CloudLightning brings together eight project partners from five countries across Europe.
Learn more: http://cloudlightning.eu
Watch the video presentation: http://wp.me/p3RLHQ-fsb
Creating a Step Change in Cyber Security | ISCF DSbD Business-led Demonstrato...KTN
John Goodacre, the Digital Security by Design (DSbD) Challenge Director at Innovate UK presents the background to the ISCF DSbD programme which aims to "Create a Step Change in Cyber Security".
Adoption of Cloud Computing in Scientific ResearchYehia El-khatib
Some might say the scientific research community is somewhat behind the curve of adopting the cloud. In this talk, I present a few examples of adopting the cloud from the wider research community. I also highlight some of the aspects by which cloud computing could affect scientific research in the near future and the associated challenges.
RECAP at ETSI Experiential Network Intelligence (ENI) MeetingRECAP Project
This presentation was delivered by Johan Forsman (Tieto), Jörg Domaschka (UULM) and Paolo Casari (IMDEA Networks) at the ETSI Experiential Network Intelligence (ENI) Meeting in Warsaw, Poland, on April 12th, 2019. ETSI Experiential Networked Industry Specification Group (ENI ISG) work on defining a Cognitive Network Management architecture using Artificial Intelligence (AI) techniques and context-aware policies to adjust offered services based on changes in user needs, environmental conditions and business goals. The intention is that the use of Artificial Intelligence techniques in the network management system should solve some of the problems of future network deployment and operations. For more information, see https://www.etsi.org/technologies/experiential-networked-intelligence.
(R)evolution of the computing continuum - A few challengesFrederic Desprez
Initially proposed to interconnect computers worldwide, the Internet has significantly evolved to become in two decades a key element in almost all our activities. This (r)evolution mainly relies on the progress that has been achieved in computation and communication fields and that has led to the well-known and widely spread Cloud Computing paradigm.
With the emergence of the Internet of Things (IoT), stakeholders expect a new revolution that will push, once again, the limits of the Internet, in particular by favouring the convergence between physical and virtual worlds. This convergence is about to be made possible thanks to the development of minimalist sensors as well as complex industrial physical machines that can be connected to the Internet through edge computing infrastructures.
Among the obstacles to this new generation of Internet services is the development of a convenient and powerful framework that should allow operators, and devops, to manage the life-cycle of both the digital infrastructures and the applications deployed on top of these infrastructures, throughout the cloud to IoT continuum.
In this keynote, Frédéric Desprez and his colleague Adrien Lebre presented research issues and provide preliminary answers to identify whether the challenges brought by this new paradigm is an evolution or a revolution for our community.
Interoperability and scalability with microservices in scienceOla Spjuth
Microservices have emerged as a modern interpretation of service-oriented architectures where processes are small and communicate over a network using lightweight protocols to fulfill a goal.
In this talk I will present our work on microservices, and how they can be used to empower interoperable and scalable analysis services and pipelines in virtual infrastructures on cloud computing resources.
I will also give examples and experiences from the PhenoMeNal H2020 project where a developer community in metabolomics is moving to such architecture.
Towards application development for the internet of things updatedPankesh Patel
The Internet of Things (IoT) integrates the physical world with the existing Internet, and is rapidly gaining popularity, thanks to the increased adoption of smart phones and sensing devices. One of the important challenges in this domain is to enable domain experts to easily specify applications for the IoT. As a
first step towards developing a suitable programming
abstraction, in this paper we present a domain
model for applications in the Internet of Things, based on a
survey of recently proposed IoT applications from the real
world that represent a wide class of behaviors found in IoT
use cases.
Un cloud pour comparer nos gènes aux images du cerveau" Le pionnier des bases de données, aujourd'hui disparu, Jim Gray avait annoncé en 2007 l'emergence d'un 4eme paradigme scientifique: celui d'une recherche scientifique numérique entierement guidée par l'exploration de données massives. Cette vision est aujourd'hui la réalité de tous les jours dans les laboratoire de recherche scientifique, et elle va bien au delà de ce que l'on appelle communément "BIG DATA". Microsoft Research et Inria on démarré en 2010 un projet intitulé Azure-Brain (ou A-Brain) dont l'originalité consiste à a la fois construire au dessus de Windows Azure une nouvelle plateforme d'acces aux données massives pour les applications scientifiques, et de se confronter à la réalité de la recherche scientifique. Dans cette session nous vous proposons dans une premiere partie de resituer les enjeux recherche concernant la gestion de données massives dans le cloud, et ensuite de vous presenter la plateforme "TOMUS Blob" cloud storage optimisé sur Azure. Enfin nous vous presenterons le projet A-Brain et les résultats que nous avons obtenus: La neuro-imagerie contribue au diagnostic de certaines maladies du système nerveux. Mais nos cerveaux s'avèrent tous un peu différents les uns des autres. Cette variabilité complique l'interprétation médicale. D'où l'idée de corréler ldes images IRM du cerveaux et le patrimoine génétique de chaque patient afin de mieux délimiter les régions cérébrales qui présentent un intérêt symptomatique. Les images IRM haute définition de ce projet sont produites par la plate-forme Neurospin du CEA (Saclay). Problème pour Les chercheurs : la masse d'informations à traiter. Le CV génétique d'un individu comporte environ un million de données. À cela s'ajoutent des volumes tout aussi colossaux de pixel 3D pour décrire les images. Un data deluge: des peta octets de donnés et potentiellement des années de calcul. C'est donc ici qu'entre en jeu le cloud et une plateforme optimisée sur Azure pour traiter des applications massivement parallèles sur des données massives... Comme l'explique Gabriel Antoniu, son responsable, cette équipe de recherche rennaise a développé “des mécanismes de stockage efficaces pour améliorer l'accès à ces données massives et optimiser leur traitement. Nos développements permettent de répondre aux besoins applicatifs de nos collègues de Saclay.
Cyber Resilient Energy Delivery Consortium - OverviewCheri Soliday
Brief overview of cutting edge R&D that is used to increase cybersecurity and cyber resiliency of Energy Delivery Systems (EDS). Authored by Dilhan Rodrigo, Information Trust Institute, University of Illinois at Urbana-Champaign.
CloudLighting - A Brief Overview presented by Prof John Morrison at the Fifth National Conference on Cloud Computing and Commerce (NC4 2016).
The presentation covered project's funding and consortium, specific challenge, typical IaaS cloud usage, project's goals and ambitions, the CloudLighting architecture, beneficiaries and challenges ahead.
In this video, Prof. John Morrison from University College Cork describes the CloudLightning project. CloudLightning’s vision is a European economy that thrives and leads the world in the provision and adoption of high performance cloud computing services. Funded by the European Commission’s Horizon 2020 Program, CloudLightning brings together eight project partners from five countries across Europe.
Learn more: http://cloudlightning.eu
Watch the video presentation: http://wp.me/p3RLHQ-fsb
Creating a Step Change in Cyber Security | ISCF DSbD Business-led Demonstrato...KTN
John Goodacre, the Digital Security by Design (DSbD) Challenge Director at Innovate UK presents the background to the ISCF DSbD programme which aims to "Create a Step Change in Cyber Security".
1. The Microlab experience in bridging the gap
between academia and industry
EU - Israel Seminar on Technology Transfer with an Emphasis on Clean
Tech
Tel Aviv, November 25-26, 2012
Name: Dr. Alex Bartzas
Microprocessors and Digital Systems Lab
National Technical University of Athens, Greece
2. Academia and Industry
Mainly through EC-funded research projects
and HiPEAC NoE
Technology
Academia
Clusters Industry
(Microlab/NTUA)
(Corallia)
Nov. 25, 2012 2
3. Clusters supported by Corallia
Nano/Microelectronics
Space Technologies and Gaming Technologies &
based Systems and
Applications Cluster Creative Content Cluster
Applications Cluster
Microlab is a member of
all three clusters
Members: 22
Members: 130 Members: 22
Initiation: 2009
Initiation: 2004 Initiation: 2011
Turnover: > € 100
Turnover: > € 5.7 bil. Turnover: > € 1.2 bil.
mil.
Employment: > 5000 Employment: > 1000
Nov. 25, 2012 Employment: > 600 3
4. Services to Cluster Members
• Acquisition of third party funding (R&D and non R&D projects, VCs, BAs, Banks)
• One Stop Shop (consulting, mentoring, coaching -mainly- for founders)
• Networking Events (networking days, user days, open days, carpe diem, webinars)
• Internationalisation Events (trade fairs, exhibitions, roadshows, etc.)
• Web presence (social networks, knowledge base, cluster mapping)
• Incubation Area (office space and amenities, data centre and management)
• Business Area (meeting rooms and amenities, printing services, telepresence etc.)
• Exhibition Area (physical and virtual booths)
• Job finder (career days, career matchmaker platform)
• Public Relations (Newsletter, News-Stream, NewsWatch, branding)
• Training events (business acceleration programme, patenting, etc.)
Nov. 25, 2012 4
5. Application domains we are active
• Run-time resource and data management, application and
Multimedia data mapping, design space exploration, middleware
development
Trusted/Secure • Secure data management for smart-grid applications,
computing trusted middleware
Medical • RTOS and real-time applications, low-power software
Microelectroni • Design of reliable HW in the deep sub-micron context,
cs functional and parametric reliability
Space • Implementation of computer vision algorithms as HW IPs
• Run-time resource and data management, application and
Games data mapping, middleware development
• Adaptive control of PV module parameters, run-time
Energy management
Nov. 25, 2012 5
6. Space: What is our work?
The exploration of Mars is one of the main goals for
both NASA and ESA, as confirmed by past and
recent activities
• The last 15 years there are a number of on-orbit
and surface missions to Mars
• Our projects are part of the ExoMars mission
(scheduled for 2018)
Nov. 25, 2012 6
7. Collaboration with industry
• European Space Agency (ESA) Projects
• SPARTAN
• SEXTANT
• Develop IP kernels for computer vision algorithms targeting to
rover navigation for Mars terrain
• ESA-compatible VHDL
• Mapped onto Xilinx Virtex-6 board
• Optimized C/C++ code
• Running onto 150MIPS processor (space-oriented device)
TRASYS
GMV AEROSPACE and DEFENCE CNES
Nov. 25, 2012 7
National Technical University of Athens Democritus University of Thrace
8. Medical: What is our work?
• Tackling societal needs
• Reduced healthcare costs as a result of reduced
need for hospitalization, and clinician visits through
increased remote monitoring
• Increase access to best practice care for patients
living in remote geographical locations
• More efficient use of Governmental and Insurance
healthcare resources by ensuring patient
concordance with treatment protocols through
remote monitoring
• The applications we are working on aim at the
next generation, integrated solutions for
personalized treatment and management of
patients
• integrated solution for patients with chronic renal
failure
• integrated autonomous device for the monitoring
and the personalized management of chronic
wounds
Nov. 25, 2012 8
9. Collaboration with industry
• Collaboration through E.C. IP-Projects
• SWAN-iCare
• Nephron+
• Developing real-time and low-power embedded SW applications running on
the wearable medical devices
• Reading data from the sensors, handling the actuators and relaying data to the
patients and medical personnel
Sensors
Actuators
Wireless
comm.
Embedded real-time SW,
Nov. 25, 2012 integrated control 9
10. Energy: What is our work?
Problem: Power loss due to partial shading of the PV array and the PV
module
• Conventional topologies of modules deal with partial shading by placing
bypass diodes across group of cells
• These bypass diodes are effective in dealing with mismatch losses between the
groups of cells
• A shaded group of cells is bypassed when shaded in order to allow the rest of
the module to operate on a higher current
• The power potentially produced by the bypassed group is lost
• When the incident shade affects all the groups in a similar way, the entire
module operates on a lower current since there is no option of bypassing
the shaded cells.
Nov. 25, 2012 10
11. Collaboration with industry
• Close collaboration with IMEC, vzw., Belgium
• Partial funding of Ph.D. researchers
• Internships
• Our proposal: Intra-module configurable cell interconnection topology
• Instead of using bypass diodes, switches can be used to alter the
interconnection of the cells within the module.
• Cells with similar operating conditions are grouped together.
Nov. 25, 2012 11