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Keynote Lectures

Living in the Edge, Sailing Through the Cloud” - Orchestrating Applications in the Edge to Cloud Computing Continuum
Tamas Kiss, University of Westminster, United Kingdom

Available Soon
Srdjan Capkun, ETH Zurich, Switzerland

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Serge Fdida, Sorbonne Université, France

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Giancarlo Fortino, University Calabria, Italy

 

Living in the Edge, Sailing Through the Cloud” - Orchestrating Applications in the Edge to Cloud Computing Continuum

Tamas Kiss
University of Westminster
United Kingdom
 

Brief Bio
Tamas Kiss is a Professor of Distributed Computing at the School of Computer Science and Engineering and Director of the Research Centre for Parallel Computing at the University of Westminster, London, UK. He also servrs as Co-Editor in Chief at the Journal of Grid Computing, published by Springer Nature. He holds a PhD in Distributed Computing, and MSc Degrees in Mathematics and Computer Science, and Electrical Engineering. He has attracted over £60 Million research funding and have been leading national and European research projects related to enterprise and scientific applications of cloud computing technologies. He has been involved in more than 20 European research projects as principal investigator or co-investigator. He has coordinated three EU: CloudSME (Cloud-based Simulation Platform for Manufacturing and Engineering) that developed a Cloud-based simulation solution for manufacturing and engineering SMEs; COLA (Cloud Orchestration at the Level of Application) that investigated how a generic and pluggable framework that supports the optimal and secure deployment and run-time orchestration of cloud applications can be created; and ASCLEPIOS (Advanced Secure Cloud Encrypted Platform for Internationally Orchestrated Solutions in Healthcare) that focused on secure cloud-enabled applications in healthcare. Currently he is involved in five EU projects, including DIGITbrain - Digital twins bringing agility and innovation to manufacturing SMEs, by empowering a network of DIHs with an integrated digital platform that enables Manufacturing as a Service, PITHIA-NRF - Plasmasphere Ionosphere Thermosphere Integrated Research Environment and Access services: a Network of Research Facilities, HARPOCRATES - Federated Data Sharing and Analysis for Social Utility, CO-VERSATILE - Adaptive and resilient production and supply chain methods and solutions for urgent need of vital medical supplies and equipment, and ARCAFF - Active Region Classification and Flare Forecasting. The leading recent research outputs of his team, in collaboration with several other groups, have been the MiCADO cloud orchestrator solution that enables the automated deployment and run-time management of microservices-based applications in heterogeneous cloud infrastructures, and the CloudSME and CloudiFacturing platforms that support manufacturing and engineering companies to utilise cloud-based high-performance computing services to run simulation and optimisation applications. These solutions have already been utilised by close to 100 companies and generated significant economic impact. 


Abstract
With the intensively increasing utilisation of IoT devices, large amounts of data are collected and needs to be processed close to its sources or transferred to larger and centralised cloud computing resources. Such application scenarios are common, for example, in manufacturing where smart sensors attached to manufacturing machines are collecting valuable information, in smart cities where such IoT devices are present in the streets or attached to vehicles, or in healthcare where wearable devices by patients can collect important information related to their behaviour and bio-signals. The collected large amount of data then needs to be processed, typically by big data analytics or artificial intelligence algorithms. A key question in such cases is where to process such information. Local processing using edge or fog computing nodes closer to the data sources can significantly reduce latency. On the other hand, such computational resources are more volatile and have limitations in storage and computational capacity. In comparison, clouds offer practically unlimited storage and computational capacity, but they also increase latency. A key question is how to distribute such loads between the various layers of the computing infrastructure, and how to deploy and manage such complex, typically microservices-based applications, spanning the edge to cloud computing continuum. In this keynote an edge to cloud application-level orchestrator, called MiCADO, will be presented that was developed within several EU funded projects and that is utilised in multiple sectors, including manufacturing, healthcare, public services and research. Besides outlining the evolution and architecture of the solution, it will also be widely illustrated how the orchestrator serves a wide range of use cases from the above-mentioned domains. Additionally, a vision of a generic architecture towards a holistic approach for edge to cloud application-level orchestration will also be presented. 



 

 

Keynote Lecture

Srdjan Capkun
ETH Zurich
Switzerland
 

Brief Bio
Available Soon


Abstract
Available Soon



 

 

Keynote Lecture

Serge Fdida
Sorbonne Université
France
 

Brief Bio
Available Soon


Abstract
Available Soon



 

 

Keynote Lecture

Giancarlo Fortino
University Calabria
Italy
 

Brief Bio
Giancarlo Fortino (SM’12) is Full Professor of Computer Engineering at the Dept of Informatics, Modeling, Electronics, and Systems of the University of Calabria (Unical), Italy. He received a PhD in Computer Engineering from Unical in 2000. He is also distinguished professor at Wuhan University of Technology and Huazhong Agricultural University (China), high-end expert at HUST (China), senior research fellow at the ICAR-CNR Institute, and CAS PIFI visiting scientist at SIAT - Shenzhen. He is the director of the SPEME lab at Unical as well as co-chair of Joint labs on IoT established between Unical and WUT and SMU and HZAU chinese universities, respectively. His research interests include agent-based computing, wireless (body) sensor networks, and IoT.He is author of 430+ papers in int’l journals, conferences and books. He is (founding) series editor of IEEE Press Book Series on Human-Machine Systems and EiC of Springer Internet of Things series and AE of many int'l journals such as IEEE TAC,IEEE THMS,IEEE IoTJ,IEEE SJ,IEEE SMCM,Information Fusion,JNCA,EAAI, etc. He is cofounder and CEO of SenSysCal S.r.l., a Unical spinoff focused on innovative IoT systems. Fortino is currently member of the IEEE SMCS BoG and of the IEEE Press BoG, and chair of the IEEE SMCS Italian Chapter.


Abstract
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