UCC 2017


Keynote speakers

 
 

Allel HADJALI

Full Professor, LIAS/ENSMA, Poitiers


Title: A Panorama of Data Uncertainty Models

Abstract: Uncertainty is one major aspect of imperfection of data. At least three causes of this kind of imperfection can be distinguished: (i) variability of phenomena which prevents to predicate their behavior, (ii) lack of information, (iii) conflicting/evolving information. Several models to represent uncertainty exist in the literature. It is well known that each model is insufficient to handle all facets of uncertainty. Some models are more general than others, some are more fitted to a given situation than others, some are more mature than others, some have interpretations better fitted to a particular situation or problem, some dispose of more convenient tools than others. In this talk, the aim is not to show "which is the best model"; but rather "where, why and how each model should be used?"; llustrations borrowing from Databases field are provided.

Bio: Allel HADJALI is Full Professor in Computer Science at the National Engineering School for Mechanics and Aerotechnics (ISAE-ENSMA), Poitiers, France. He has been an Associate Professor in Computer Science both in University of Rennes 1 (France) and University of Tizi-ouzou (Algeria). He is a member of the Data & Model Engineering research team of the Laboratory of Computer Science and Automatic Control for Systems (LIAS/ISEA-ENSMA). His main area of research falls within Data Science field, and more specifically, the research topics related to Data Exploitation & Analysis, Knowledge Extraction and Recommendation. His current research interests include Computational Intelligence in Databases, Data Uncertainty, Cooperative/Intelligent Databases, Recommendation Systems, Web Services, Qualitative and Uncertain Reasoning with applications to Artificial Intelligence and Information Systems. His recent works were published in well-known journals (e.g., Applied Soft Computing, Knowledge and Information Systems, Fuzzy Sets and Systems, International Journal of Intelligent Systems, Journal of Intelligent Information Systems and Annals of Mathematics and Artificial). He also published several papers in International Conferences (ESWC, ICTAI, Fuzz-IEEE, FQAS, SUM, ISMIS, IPMU, CoopIS, IFSA, ACM SAC, ICWS, SCC, ER, VLDB and EDBT (demo papers)). He co-organized several special sessions on "Advances in Soft Computing Applied to Databases and Information Systems" in conjunction with EUSFLAT (2009 and 2011) Conference, “Advances in Bipolarity in Databases” in conjunction with EUSFLAT (2013), “Advances in Data Management in the Context of Incomplete Databases” in conjunction with IFSA (2015) Conference. He co-organized also several special issues in well-known journals, among them, "Flexible Queries in Information Systems" in Journal of Intelligent Information Systems (2009) and "On Advances in Soft Computing Applied to Databases and Information Systems" in Fuzzy Sets and Systems Journal (2011). The complete list of his publications is available in http://www.lias-lab.fr/members/allelhadjali.


 

 

Andrei Tchernykh

CICESE Research Center, Ensenada, Baja California, México,


Title: Cloud Computing: from Uncertainty to Efficiency

Abstract: In this speech, we provide a picture view of uncertainty and its classification in different scenarios from HPC, Grid and Cloud Infrastructures to exascale, and discuss opportunities and challenges of its mitigating. We discuss resource management strategies in presence of uncertainty, and present various dynamic and adaptive approaches. We provide some theoretical and experimental results. We discuss major sources of uncertainty in clouds: performance and bandwidth changing, virtualization, loosely coupling application to the infrastructure, among many others. Elasticity property has a higher repercussion on the QoS, but adds another factor of uncertainty. We also describe uncertainty associated with workload properties, user behavior, dynamism of the execution context, etc.

Bio: Andrei Tchernykh is holding a full professor position in computer science at CICESE Research Center, Ensenada, Baja California, Mexico. He is chairing the Parallel Computing Laboratory. He obtained his PhD in 1986 from the Institute of Precision Mechanics and Computer Engineering of the Russian Academy of Sciences, Moscow. Tchernykh leads a number of research projects and grants in different countries funded by CONACYT, NSF, ANII, Ochoa, INRIA, FNR, UC MEXUS, DAAD, LAFMI, UJF, INPG, REDII, FUMEC, etc. He has delivered more than 70 keynote speeches and invited lectures. He has published approximately 200 papers, and served as a TPC member and general co-chair of more than 240 professional peer reviewed conferences. He has graduated 36 Ph.D. and M.S. students, and served as the External Examiner for Ph.D. programs in Germany, Luxembourg. México, and France. Professor Tchernykh is a founding member of the Mexican Supercomputer Society (RedMexSu). He is awarded Global Scholars Fellow at Tsinghua University (China), German Academic Exchange Service fellowship at University of Göttingen, Dortmund University, Technische Universität Clausthal, and Severo Ochoa fellowship at Barcelona Supercomputing Center (Spain). He was a Visiting Researcher at Centre de recherché INRIA Lille - Nord Europe (France), Université Grenoble Alpes (France), Luxembourg University (Luxembourg), Moscow Institute of Physics and Technology (Russia), Institut National Polytechnique de Grenoble (France), University of California–Irvine (USA), University of Southern California (USA), Université Joseph Fourier (France), UdelaR (Uruguay), etc. He has served as a guest editor for Special issues, and member of the editorial boards of several journals, including International Journal of Metaheuristics, Supercomputing Frontiers and Innovations, etc. He is active in grid and cloud research with a focus on resource optimization, both, theoretical and experimental, uncertainty, scheduling, load balancing, multi-objective optimization, heuristics and meta-heuristics, adaptive resource allocation, and energy-aware algorithms and security (http://usuario.cicese.mx/~chernykh/).



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