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Keynote Lectures

Smart Connected Digital Factories: Unleashing the Power of Industry 4.0 and the Industrial Internet
Mike Papazoglou, European Research Institute in Service Science, Tilburg University, Netherlands

CLOUD, Trigger of a Socio-economic Revolution
Tobias Hoellwarth, EuroCloud Europe, Austria

Scientific Workflows in the Era of Clouds
Péter Kacsuk, LPDS, MTA SZTAKI, Hungary

Will Cloud Gain an Edge?
Lee Gillam, Department of Computing, University of Surrey, United Kingdom

 

Smart Connected Digital Factories: Unleashing the Power of Industry 4.0 and the Industrial Internet

Mike Papazoglou
European Research Institute in Service Science, Tilburg University
Netherlands
 

Brief Bio
Michael P. Papazoglou is a highly acclaimed academic with noteworthy experience in areas of education, research and leadership pertaining to computer science, information systems, industrial engineering and digital manufacturing. He is the executive director of European Research Institute in Service Science and holds the Chair of Computer science at Tilburg University, the Netherlands. He is noted as one of the original promulgators of ‘Service-Oriented Computing’ and was the scientific director of the acclaimed European Network of Excellence in Software Systems and Services (S-CUBE). He is renowned for establishing local ‘pockets of research excellence’ in service science and engineering in several European countries, China, Australia and the UAE. Papazoglou is an author of the most highly cited papers in the area of service engineering and Web services worldwide with a record of publishing 32 (authored and edited) books, and over 200 prestigious peer-refereed papers along with approx. 18,000 citations (H-index factor 53). He holds distinguished/honorary professorships at 11 universities around the globe. He has delivered over 45 keynote addresses since 2000 and chaired 12 prestigious international peer refereed conferences. Papazoglou is the founder and editor-in-charge of the MIT Press book series on Information Systems as well as the founder and editor-in-charge of the new Springer-Verlag book series on Service Science.


Abstract
Traditional manufacturing has been characterized by limited data exchange between systems, machines and processes throughout the product development life cycle. Recent initiatives such as the Industrial IoT, or Industry 4.0, as it has been dubbed, are fundamentally reshaping the industrial landscape by promoting connected smart manufacturing solutions that realize a “digital thread” which connects all aspects of manufacturing including all data and operations involved in the production of goods and services. These developments enable a “digital-twin” model of the connected ‘smart’ factory of the future where computer-driven systems create a virtual copy of the physical world and help make decentralised decisions with much higher degree of accuracy. The end result is an ecosystem of connected factory sites, plants, and self-regulating machines able to customize output, allocate resources optimally to offer a seamless transition between the physical and digital worlds of design, construction, assembly and production. It is connectivity that provides complete end-to-end data and service visibility throughout the entire product development lifecycle.
This talk will examine new concepts of manufacturing in the factory of the future and its enabling technologies, which include cloud, service-oriented computing, IoT, big data and analytics, and augmented reality. It will explain how these technologies have the ability to efficiently extract meaningful data and insights from manufacturing systems and processes, and transform traditional plants into connected smart collaborative factories. Here, collected data is harnessed to offer as-a-service products: products on the assembly line that have the ability to inform users and shop floor machinery how they are to be processed and how impending issues can be resolved. This new direction is highly-connected and knowledge-enabled factories, where devices, production equipment, production services and processes are connected - offering decision-making support on the basis of real-time production data - are continuously monitored, and optimized.



 

 

CLOUD, Trigger of a Socio-economic Revolution

Tobias Hoellwarth
EuroCloud Europe
Austria
 

Brief Bio
Dr. Höllwarth has worked as a corporate consultant specialized in IT projects for over 20 years. In addition to his work at the Vienna University of Economics and Business he also founded the companies Höllwarth Consulting, ICT Advisory Network and Sourcing International. Dr. Tobias Höllwarth was a founding member of EuroCloud Austria where he is today a member of the Board and is the director for the international StarAudit program and president of EuroCloud Europe. He acts as an expert for questions pertaining to certification at the Austrian Standards Institute and is leader of the Austrian delegation that participates in negotiations with the International Organization for Standardization (ISO) where cloud computing is concerned.


Abstract
A presentation that will point out the similarities of the previous socio-economic revolutions that changed human live and explain the positive and the disastrous economic consequences that have become visible already. It will focus as well in the Europe society that is not yet prepared well for this massive change. Why is this and how one can participate actively in this game to help providers and the customer to add some learnings.



 

 

Scientific Workflows in the Era of Clouds

Péter Kacsuk
LPDS, MTA SZTAKI
Hungary
 

Brief Bio
Professor Peter Kacsuk is the Head of the Research Laboratory of the Parallel and Distributed Systems. He received his MSc and university doctorate degrees from the Technical University of Budapest in 1976 and 1984, respectively. He received the kandidat degree from the Hungarian Academy of Sciences in 1989. He habilitated at the University of Vienna in 1997. He recieved his professor title from the Hungarian President in 1999 and the Doctor of Academy degree (DSc) from the Hungarian Academy of Sciences in 2001. He has been a part-time full professor at the Cavendish School of Computer Science of the University of Westminster in London and at the Eötvös Lóránd University of Science in Budapest since 2001. He served as visiting scientist or professor several times at various universities of Austria, England, Germany, Spain, Australia and Japan. He has published two books, two lecture notes and more than 200 scientific papers on parallel computer architectures, parallel software engineering and Grid computing. He is co-editor-in-chief of the Journal of Grid Computing published by Springer.


Abstract
The use of scientific workflows (or simply workflows) has a long history in computer science. They became particularly popular when large distributed computing systems like the computational grid became available to solve very complex scientific problems. During the history of workflows many approaches and concrete workflow systems have been elaborated and many of them were intensively used by scientific communities. However, just this large variety of available workflow systems raised several important issues that should be solved in order to make workflows even more accepted and used for everyday science.

One important issue is the reuse and reproducibility of workflows. Scientific communities using different kind of workflow systems would like to collaborate and reuse the workflows developed by other scientific communities. The SHIWA European project has proposed several solutions to solve this problem. Interestingly their method called coarse-grain workflow interoperability became really usable when clouds appeared. Cloud systems provide the required technology by which workflows became really reproducible, shareable and even reusable inside new workflows.

Clouds also provide the possibility of constructing workflows as infrastructures that can dynamically be deployed in the cloud when needed in order to use them by other workflows. The WaaS (Workflow as a Service) concept enabled the introduction of the so-called infrastructure-aware workflows which is a new step in making workflows even more flexible.

The other direction where the WaaS concept can fruitfully be used is the creation of workflows that enable the processing of very large scientific data sets. A new workflow system called Flowbster has been developed based on the concept of workflow choreography and WaaS. It was designed to create efficient data pipelines in clouds by which very large data sets can efficiently be processed. The Flowbster workflow can be deployed in the target cloud as a virtual infrastructure through which the data to be processed can flow and meanwhile it flows through the workflow, it is transformed as the business logic of the workflow defines it. Instead of using the enactor based workflow concept Flowbster applies the service choreography concept where the workflow nodes directly communicate with each other. Workflow nodes are able to recognize if they can be activated with a certain data set without the interaction of a central control service like the enactor in service orchestration workflows. As a result Flowbster workflows implement a much more efficient data path through the workflow than service orchestration workflows. A Flowbster workflow works as a data pipeline enabling the exploitation of pipeline parallelism, workflow parallel branch parallelism and node scalability parallelism. The Flowbster workflow can be deployed in the target cloud on-demand based on the underlying Occopus cloud deployment and orchestrator tool. Occopus guarantees that the workflow can be deployed in any major type of IaaS clouds (OpenStack, OpenNebula, Amazon, CloudSigma). Performance results show the viability of using Flowbster workflows on top of even hybrid clouds.



 

 

Will Cloud Gain an Edge?

Lee Gillam
Department of Computing, University of Surrey
United Kingdom
 

Brief Bio
Dr Lee Gillam is a Senior Lecturer and Director of Learning and Teaching in the Department of Computer Science at the University of Surrey, and Chartered IT Professional Fellow of the British Computer Society (FBCS CITP). He is founding Editor-in-Chief of the Springer Journal of Cloud Computing Advances, Systems and Applications (JoCCASA), an editor of a Springer book on Cloud Computing now in its 2nd edition, and a co-author of two reports for EPSRC/JISC on Cloud Computing (Research Use Cases, and Costs). His research has addressed Cloud Computing, Grid Computing, Information Retrieval, Information Extraction and Ontology Learning, with current activities addressing topics including Connected and Autonomous Vehicles in respect to Mobile Edge Cloud over 5G networks, Data Leak/Loss Prevention, Privacy Preserving Data Analysis, Cloud Service Brokerage, Energy Efficient Performance in Data Centres, and Cloud Forensics. This research has created resulted in both patents and companies, with one of the companies formed receiving an award for the UK's Most Innovative Small Cyber Security Company at Infosecurity Europe 2015.


Abstract
Cloud has tended to be characterised by large-scale data centre provision, with economic advantages as come with ease of centralized provision at relatively few locations. This has allowed for, amongst other advantages, ease of dynamic usage scaling, uptake of increasingly diverse capabilities, and use of significant storage capacity. However, such provisions have tended to be at some distance from specific needs, proving problematic where responsiveness is critical, and this offers motivation for reappraisal of more proximate provisions. Consequently, notions such as Multi-access Edge Computing (MEC), are becoming attractive, particularly when given close relationship to future telecommunications capabilities as promised by 5G. This talk will discuss the extension of Cloud capabilities to Edge, identifying some of the continued and upcoming challenges to address when creating systems able to exploit architectures involving either, or both, of these.

 



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