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Speakers

Confirmed Speakers

Pr. Erik Elmroth
Pr. Erik Elmroth
Umeå University, Sweden
Founder of Elastisys AB
Prof. Eleni Karatza
Prof. Eleni Karatza
Department of Informatics,
Aristotle University of Thessaloniki, Greece
Prof. Maria Fasli
Prof. Maria Fasli

Director, Institute for Analytics and Data Science,
University of Essex, UK
Prof. Christophe Cérin
Prof. Christophe Cérin

University of Paris 13, France

Keynote 1 : Cloud Automation for Robust, Responsive, and Cost-efficient Cloud Applications – From Basic Research to the Elastisys Startup

Prof. Erik Elmroth,
Umeå University, Sweden
Founder of Elastisys AB

Abstract:

Autonomous resource management systems are required to ensure robust, responsive, and cost-efficient cloud applications. This presentation will show our efforts on transforming today’s static and energy consuming cloud data centers into self-managed, dynamic, and dependable infrastructures, constantly delivering expected quality of service with acceptable operation costs and carbon footprint for large-scale services with varying capacity demands.

Automation and autonomy is only the point of departure. The research spans from real-time performance analysis, providing on-line bottleneck analysis and root-cause detection to methods for determining how much and what type of capacity to allocate and when and where to deploy it. Central topics include workload modeling and prediction, vertical and horizontal autoscaling, scheduling, service prioritization and differentiation, resource overbooking, fault management, resource disaggregation, resource rationing, application brownout, and many more. The presentation will outline the field of research, elaborate on interdisciplinary approaches to novel solutions, and provide concrete illustrative examples of our solutions. In this presentation we will also share our experiences on how to span from basic and applied research to direct industrial engagement and how we extended on our research to create the startup company Elastisys (www.elastisys.com).

Elastisys offers a cloud automation platform that right-sizes cloud application deployments using patented predictive auto-scaling to ensure that the application runs cost-efficiently and is responsive at all times, even in the face of sudden load spikes. The Elastisys cloud automation platform is capable of managing cloud deployments that are private, public, or even hosted across different clouds.

About the Speaker:
Prof. Erik Elmroth Professor in Computing Science at Umeå University and founder of Elastisys AB. He has ten years of experience from being Head and Deputy Head of the Department of Computing Science. He is leading the Umeå University research on distributed systems (www.cloudresearch.org), focusing on autonomous cloud resource management, including the group’s participation in large-scale national and international collaborations such as eSSENCE, the EU FP7 projects RESERVOIR, OPTIMIS, VISION Cloud, CACTOS, and ORBIT as well as the local industry-focused IT research within the UMIT research laboratory. A particular highlight is being the principal investigator for Cloud Control, which is a framework project funded by the Swedish Research Council, taking a control theoretic approach for cloud datacenter management systems. Recently, he initiated the Cloud Control Workshop Series (www.cloudresearch.org/workshops) and founded the company Elastisys AB (www.elastisys.com). The current research extends on Elmroth’s broad background in scientific and high-performance computing and extensive experience from organizing supercomputing infrastructures. He received the Nordea Scientific Award 2011. Pre-historic highlights include being co-winner of the SIAM Linear Algebra Prize 2000, for the most outstanding linear algebra publication world-wide during the preceding 3-year period. Previously he has served as Chairman of the Board of the Swedish National Infrastructure for Computing (SNIC), Chairman of Swedish Research Council’s (VR’s) expert group on e-science infrastructures and as member of VR’s Council for Research Infrastructures (RFI). He has also been appointed by the Nordic Council of Ministers for writing a Nordic eScience strategy and as a follow-up, a Nordic-Baltic eScience strategy as well as by SNIC for writing a national HPC strategy. He has held a three-year position as national HPC lecturer appointed by the Swedish Council for High Performance Computers (HPDR). International experiences include a year at NERSC, Lawrence Berkeley National Laboratory, University of California, Berkeley, and one semester at the Massachusetts Institute of Technology (MIT), Cambridge, MA .

Keynote 2 : Current and Future Trends in Cloud Computing – Problems and Solutions

Prof. Eleni Karatza
Department of Informatics
Aristotle University of Thessaloniki, Greece
Abstract:

The technological advances in networks and computing systems have led many aspects of our daily life to depend on complex distributed interconnected computing resources such as Clouds.
Because of the nature of these systems, there are important issues that must be addressed, such as: performance, resource allocation, efficient scheduling, energy conservation, reliability, protection of sensitive data, security and trust, cost, availability, quality. Furthermore, due to the cost of electrical power consumption and the environmental impact, energy efficiency in cloud systems is a global IT concern. Effective management of cloud resources is crucial to use effectively the power of these systems and achieve high system performance.
The cloud computing paradigm can offer various types of services, such as computational resources for complex applications, web services, social networking, urban mobility, health care, environmental science, etc. Resource allocation and scheduling is a difficult task in clouds where there are many alternative heterogeneous computers. The scheduling algorithms must seek a way to maintain a good response time to leasing cost ratio. Furthermore, adequate data security and availability are critical issues that have to be considered along with energy-efficient solutions that are required to minimize the impact of cloud computing on the environment.
Recently, the enormous growth of cloud computing together with the advance in mobile technology have led to the new era of Mobile Cloud Computing. Efficient and reliable management of distributed resources in mobile clouds became more important as more and more users collaborate computationally over the Internet via powerful mobile devices. Furthermore, the simultaneous usage of services from different Clouds can have additional benefits such as lower cost and high availability.
In this talk we will present state-of-the-art research covering a variety of concepts on cloud computing, based on existing or simulated cloud systems, that provide insight into problems solving and we will provide future directions in the cloud computing area. Advanced modelling and simulation techniques are a basic aspect of performance evaluation that is needed before the costly prototyping actions required for cloud systems.

About the Speaker:
Eleni Karatza , is a Professor in the Department of Informatics at the Aristotle University of Thessaloniki, Greece. Dr. Karatza’s research interests include Computer Systems Modeling and Simulation, Performance Evaluation, Grid and Cloud Computing, Energy Efficiency in Large Scale Distributed Systems, Resource Allocation and Scheduling and Real-time Distributed Systems.
Professor Karatza has authored or co-authored over 190 technical papers and book chapters including four papers that earned best paper awards at international conferences. She is senior member of IEEE, ACM and SCS, and she served as an elected member of the Board of Directors at Large of the Society for Modeling and Simulation International (2009-2011). She has served as General Chair, Program Chair and Keynote Speaker in International Conferences.
Professor Karatza is the Editor-in-Chief of the Elsevier Journal “Simulation Modeling Practice and Theory”, Area Editor of the “Journal of Systems and Software” of Elsevier, and she has been Guest Editor of Special Issues in multiple International Journals.

Keynote 3 : Gaining Insights through Big Data and Analytics

Prof. Maria Fasli
Director, Institute for Analytics and Data Science,
University of Essex, UK
Abstract:

The availability of cheap computational devices and processing power has led to an explosion in the amount of data – both structured and unstructured – that is generated all around us today. We are all not just consumers, but also producers of such data and the pace of technological change only means that the amount of data is set to increase. To deal with the data explosion problem, new and smart techniques are required that will enable us to gain insights and extract value from the data both at the business/organization/government level but also at the individual level. This talk will be exploring how big data and analytics can help shed light in a range of problems and domains from electronic commerce and understanding customer behaviour to supporting users with their search problems. But along with the opportunities that big data and analytics may bring, their use also presents pitfalls and the talk will touch on some of these and their implications for individuals and society as a whole.
About the Speaker:
Maria Fasli is a Professor and currently the Director of the Institute for Analytics and Data Science at the University of Essex, United Kingdom. Between 2009 and 2014 she served as Head of the School of Computer Science and Electronic Engineering. She obtained her PhD in Computer Science in 2000, investigating logics for intelligent systems. Her research interests lie in intelligent and adaptive systems, agents and multi-agent systems (their theoretical foundations and practical applications), data exploration, analysing and modelling complex data (structured and unstructured) and Big data. She has published over 100 refereed articles in major journals, conferences and workshops in these areas. She has been involved in organising/chairing and reviewing for international conferences and specialist workshops. Her research has been funded by Research Councils UK, InnovateUK, the Higher Education Academy and industry. In 2005, she was awarded a National Teaching Fellowship by the Higher Education Academy (UK) for her innovative approaches to education and supporting the student experience. She is the author of the book ‘Agent Technology for E-commerce’ (John Wiley and Sons, 2007).

Keynote 4 : Paris 13 examples of Big Data and Cloud computing projects with deep roots in the experimental scientific approach

Prof. Christophe Cérin
University of Paris 13, France
Abstract:

In this presentation we would like to share our experience on the coupling of a scientific problem and a testbed under the umbrella of the scientific experimental approach. What we call the ‘scientific experimental approach’ is when we investigate the whole chain, starting from the modeling, the analysis, the design and the implementation at large scale, the return from experiments to formulate new hypotheses. The illustrative examples are taken from different projects in Big Data/Machine Learning (thank to Mustapha Lebbah) and Cloud Computing (Christophe Cérin), many of them are industrial projects: Square Predict, Resilience and Wendelin (thanks to NEXEDI and many others companies). The lessons learned from the collaborations, we mean here, inter teams or between academics and the industrial world will also be introduced because of the absolute necessity of a leverage effect on our scientific problems.

About the Speaker:
Christophe Cérin has been a professor of computer science at the University of Paris 13, France since 2005. In 2015, he was one of the initiator an infrastructure project related to big data and high performance computing for e-sciences for USPC (Université Sorbonne Paris Cité). The global project federates the computing facilities (clusters and cloud) available at USPC (h ttp://cirrus.uspc.fr) and he is in charge of developing the interactions between researchers coming from any discipline and people managing the infrastructures. At Paris13, he chairs the board for the cluster computing facility available to all campus scientists and also chairs the ‘Expert Committee’ in charge of recruiting and mentoring full time junior and senior professors in computer science. His industrial experience includes serving as local chair for the Wendelin project (Gaz de France, Mitsubishi, INRIA, Telecom ParisTech, Paris 13) related to Cloud and Big-Data. His previous industrial project was the Resilience project (Nexedi, Morpho, Alixen, Vifib — French SMEs) related to Cloud Computing where he was the local chair. A new FUI project with Alterway is also under development. In 2015 he was also acting as chairman for a joint research Lab with Chinese researchers in Beijing, Wuhan and Hangzhou. He is also acting as an editorial board member for the IEEE Cloud Computing Magazine and as an expert on Cloud computing for ALECSO and ITU. His research focuses on High Performance Computing, including Grid and Cloud Computing and he develops middleware, algorithms, tools and methods for distributed systems.