Tutorials

Tutorial 1: Virtualized Network Functions Description, Publication and Discovery: Content Delivery Networks as Case Study
khalil

Khalil Drira received the Engineering and M.S. (DEA) degrees in Computer Science from ENSEEIHT (INP Toulouse), in June and September 1988 respectively. He obtained the Ph.D. and HDR degrees in Computer Science from UPS , University Paul Sabatier Toulouse, in October 1992, and January 2005 respectively. He was from oct 1992 to spet 2010, Chargé de Recherche, and he is since oct 2010 Directeur de Recherche, a full-time research position at the French National Center for Scientific Research (CNRS). Khalil DRIRA’s research interests include formal design, implementation, testing and provisioning of distributed communicating systems and cooperative networked services. His research activity addressed and addresses different topics in this field focusing on model-based analysis and design of correctness properties including testability, robustness, adaptability and reconfiguration. He is or has been involved in several national and international projects in the field of distributed and concurrent communicating systems. He is author of more than 150 regular and invited papers in international conferences and journals. He is or has been initiator of different national and international projects and collaborations in the field of networked services and distributed and communicating systems. Khalil DRIRA is or has been member of the programme committees of international and national conferences. He is member of the editorial board of different international journals in the field of software architecture and communicating and distributed systems. Khalil DRIRA has been editor of a number of proceedings, books and journal issues in these fields.

sami

Sami Yangui is Associate Professor at the GEI Department of INSA Toulouse. In 2014, he obtained a PhD in computer science from TELECOM Sud-Paris, and a Master's degree in computer science from the University of Tunis El-Manar, Tunisia, in 2010. He is a member of the SARA team - Services and Architectures for Advanced Networks at LAAS / CNRS. His research interests include distributed systems and architectures, service-oriented computing and the Internet of Things (IoT). He is involved in various European and international projects, as well as standardization committees. He has published several articles in scientific conferences and journals. He has also served on many program and international conferences and workshops. At GEI, he teaches Cloud Computing and Big Data. He is also involved in object-oriented modeling and programming courses, as well as in distributed infrastructure virtualization and networking courses.

Abstract
Virtual Network Functions (VNF) are the concrete implementation of network functions using software that is decoupled from the underlying hardware. The VNFs are published and instantiated from dedicated network providers’ repositories. Existing description models are proprietary and specific to the owner providers. Moreover, the existing models include information concerning VNFs deployment but fail to include their related functional and nonfunctional specifications. This tutorial aims to introduce to the attendees a novel VIrtualized Network FunctIoN ontoloGy (VIKING for short) for VNFs description and publication in federated repositories. Il also shows our semantic-based procedure to discover the most relevant VNFs from repositories based on a specific need. The network functions of a Content Delivery Network (CDN) will be considered as illustrative use case during this tutorial. This tutorial will be given for the very first time.

 
Tutorial 2: From Row data to Intelligent Decision Making in Real Word applications
salima

Salima Hassas is Professor at University of Lyon (Claude Bernard- Lyon 1 University). She leads the Multi-Agents Systems research group at the LIRIS-CNRS Laboratory. Her research interests include bio-Inspired multiagents systems and self-* (self-organizing and self-adaptive systems), constructivist approaches for autonomous and cognitive agents, developmental artificial intelligence... Her research is applied to several application domains like Smart Environments (Smart Home, Smart Grid, Smart traffic Road, ..) and Ambient Intelligence, Intelligent Mobility, Virtual Assistants and Recommendation Systems and Social Robotics. Pr. Salima Hassas, is also strongly involved in FAS* (Fundamentals and Application of Self-* Systems) community where she served several times at chairing positions for the IEEE SASO conference (Steering Committee, General Chair, PC Chair, etc.) she also serves in the PC of major conferences in AI (AAAI, AAMAS, IJCAI, ECAI, ALIFE, ECAL, etc. ) and as Associate Editor for ACM TAAS (Transactions on Autonomous and Adaptive Systems) Journal. Pr. Salima Hassas is regularly invited as an Expert for European (H2020, FP7), National (ANR) and International (Germany, Canada, Norway, etc.) research projects evaluation.

nadia

Nadia Kabachi is an associate professor at Lyon 1 University since 2002. She is a member of the National Council of Universities (CNU) in section “Computer Science”, she is a head of International relations in Computer Science department. Nadia is a member of the Research Committee at Lyon 1 University. She is also a responsible for the education project to create a "double degree" license and master in Computer Science at the Ho Chi Minh University (Saigon, Vietnam). She is a Vice-President of the "PrétopologiCs" association. Her research activity has been shared between theoretical contributions and application issues: Theoretical: Cloud Computing; Data placement and Optimization; Distributed Data Warehouses; Big Data Processing; Negotiation in Multi-agent Systems (Protocols and Decisions making process)... Applications: Decision making; Agent Based modelling and Simulation of Complex Systems; Health care systems... She has co-supervised 5 PhD thesis and has also supervised several master students.

chirine

Chirine Ghedira Guegan is a full professor of computer sciences at IAE Lyon School of management – Jean Moulin University Lyon 3 – France. She is co-head of the Service-Oriented Computing research team at the LIRIS-CNRS Laboratory. She is the President of the Committee of Experts in Computer Science & Mathematics in Lyon3 and the Research Development Manager of IAELyon. Her research interests are in Service-oriented Architectures and Computing, Complex-, Autonomic-, and Adaptive Systems, and Context-aware Computing including all aspects related to collaborative systems (e.g., Workflow technologies). A more recent thread of research interest concerns Data services, Data integration, Trust, privacy, IoT and Cloud computing. Her research is applied to several application domains like Healthcare, Smart Home and Recommendation Systems.

Abstract
Our era of massive data and knowledge is no longer a novelty. The amounts of data, especially in crucial domains such as traffic or health ones, are increasing exponentially. Consequently, retrieving the most relevant information for the end user on time is a problem that has not yet been solved. Indeed, with large-volume, heterogeneous, autonomous sources with distributed and decentralized control, exploring complex and evolving relationships among harvesting data for a decision making cannot be ensured with classical approaches, techniques and, tools. The general aim of decision making in this era is to reduce large-scale problems to a scale that humans can comprehend and act upon. To this end, there are extreme challenges for new models, advances and adaptation in technologies and methodologies for: (i) an Intelligent collection and integration of heterogeneous sources of data; (ii) extracting, aggregating and discovering useful and dynamic knowledge from Big Data either sensitive, certain or not; (iii) decentralized management of data, and Artificial Intelligence technologies for an Intelligent decision making. To meet those challenges, it’s necessary to develop intuitive systems with some degree of intelligence and agent technology has proved to be a reliable too with great potential for solving problems especially in large scale distributed systems in several domains. This tutorial overviews the new trends accordingly. It aims to enrich attendees’ knowledge on Big Data, the notion of resource, collection and integration of multi-sources, data warehouses and intelligent cubes, aggregation of knowledge, AI technology & the contribution of semantic services-oriented architectures.
 
Tutorial 3: Design and deployments of Wireless Sensor Networks
jamie

Prof. Jaime Lloret (This email address is being protected from spambots. You need JavaScript enabled to view it.) received his B.Sc.+M.Sc. in Physics in 1997, his B.Sc.+M.Sc. in electronic Engineering in 2003 and his Ph.D. in telecommunication engineering (Dr. Ing.) in 2006. He is a Cisco Certified Network Professional Instructor. He worked as a network designer and administrator in several enterprises. He is currently Associate Professor in the Polytechnic University of Valencia. He is the Chair of the Integrated Management Coastal Research Institute (IGIC) and he is the head of the "Active and collaborative techniques and use of technologic resources in the education (EITACURTE)" Innovation Group. He is the director of the University Diploma “Redes y Comunicaciones de Ordenadores” and he has been the director of the University Master "Digital Post Production". He was Vice-chair for The Europe/Africa Region of Cognitive Networks Technical Committee (IEEE Communications Society) and Vice-chair of the Internet Technical Committee (IEEE Communications Society and Internet society). He has been Internet Technical Committee chair (IEEE Communications Society and Internet society). He has authored 22 book chapters and has more than 450 research papers published in national and international conferences, international journals (more than 200 with ISI Thomson JCR). He has been the co-editor of 40 conference proceedings and guest editor of several international books and journals. He is editor-in-chief of the “Ad Hoc and Sensor Wireless Networks” (with ISI Thomson Impact Factor), the international journal "Networks Protocols and Algorithms", and the International Journal of Multimedia Communications. Moreover, he is Associate Editor-in-Chief of “Sensors” in the Section sensor Networks, he is advisory board member of the “International Journal of Distributed Sensor Networks” (both with ISI Thomson Impact factor), and he is IARIA Journals Board Chair (8 Journals). Moreover, he is (or has been) associate editor of 46 international journals (16 of them with ISI Thomson Impact Factor). He has been involved in more than 450 Program committees of international conferences, and more than 150 organization and steering committees. He has led many local, regional, national and European projects. He is currently the chair of the Working Group of the Standard IEEE 1907.1. He has been general chair (or co-chair) He is IEEE Senior, ACM Senior and IARIA Fellow.

Abstract
Sensor technology is currently used everywhere in any type of environment. Theoretical proposals and theories, appeared 15 years ago, have become real development of distributed mechanisms and small devices with both low cost and low energy consumption, while they have enough computing capacity for processing information locally and communicating wirelessly with other elements. The ubiquity nature of wireless sensor networks (WSN) allows them to monitor any type of environment and can be focused on any type of purpose. The environment where WSN could be applied can range from human healthcare systems to the creation of smart systems, such as for smart cities or even for animal welfare and feeding systems. Moreover, some features, such as scalability and protocol optimization, must be taken into account when amount of sensors are necessary to sense an environment or take measurements from the surroundings. In this tutorial, we are going to show several sensor node platforms and devices, which have been used for real implementations. We will show how their features have been changed along the time and we will revise the benefits of the most updated sensor nodes available in the market. Characteristics like improved wireless cards to reach larger distances and low power consumption when transmitting, high computing capacity to process the data gathered and even to provide routing services between nodes without direct vision and more input/output port to include more sensors in a single device, make them a very powerful tool to acquire data from the environment while they are easy to be deployed and allow self-configuration. We will also show some wireless sensor network protocols and algorithms deployed to allow communication between nodes, which have been designed taking into account low energy consumption, while keeping the distributed system feature. The talk will end with the explanation of some practical deployments published in well-known international journals.