ADVANCE'2023


International Workshop on ADVANCEs in ICT Infrastructures and Services, 6-9 February 2023, Fortaleza-Jericoacoara, Brazil

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Technical Programme

The ADVANCE Workshop program will be composed of several invited speaker presentations, technical full and short (work in progress) paper presentations and short professional courses during the 6th and 7th of February 2023. These two days will be organized at the Federal University of Ceara  (Fortaleza).

On the 8th of February, participants are invited to attend the ADVANCE Networking Day should travel to the city of Jericoacoara. On February 9th, 2023, several scientific presentation and collaboration discussions will be organized to create opportunities for future collaborations.

Download ADVANCE 2023 Proceedings

ADVANCE 2023 Programme on glance:



KEYNOTES TALKS
Prof Marciel

Keynote Talk 1: Performability Modeling: Complexity vs. Representativeness
By Professor Paulo Romero Martin Maciel, Universidade Federal de Pernambuco, Brazil

Abstract: Performability evaluation concerns the study of systems' performance widened to reflect attributes such as reliability, quality, availability, maintainability, and dependability. Broadly speaking, performability may be defined as the probability that the correct output (dependability) is produced in time less than t (performance). System performability can be evaluated through different methods and strategies. Measuring is an alternative when the system is already in operation. Even then, it may not be feasible to measure the system since the system may not be interrupted or the criticality of agents involved prevents the measuring. On the other hand, analysis and simulation consider a model instead of an actual system. Closed-form models are specified by relations between system parameters and performance criteria, which are analytically solved. However, it is important to stress that closed-form solutions are only possible for usually small or well-formed structures. For more complex models, numerical methods may be the alternative. However, if the state space is prohibitive, the system lacks regularity, or general distributions should be represented, the evaluation option may fall into a simulation. With simulation, there are no fundamental restrictions on the models. Nevertheless, the simulation does have pragmatic constraints, such as the simulation time required. This talk aims to address these issues and discuss the challenges and opportunities.

Bio: Paulo Maciel graduated in Electronic Engineering in 1987 from the University of Pernambuco, with a master's and a doctorate in Electronic Engineering and Computer Science. He was a professor at the Department of Electrical Engineering at the University of Pernambuco from 1989 to 2003. Since 2001 he has been a member of the Computer Center at the Federal University of Pernambuco. His research interests include performance, reliability, availability, reliability and capacity planning, and stochastic models covering applied areas such as cloud computing, sustainable data centers, manufacturing, integration, and communication systems. He worked as a consultant and research coordinator on projects financed by companies such as the US Army Research Office (ARO), HP, EMC, CELESTICA, FOXCONN, ITAUTEC, INdT, Samsung, Motorola, CHESF, and Brazilian government research agencies.


Prof Agoulmine

Keynote Talk 2 : IBM (Intent Based Networking) What's New ?
By Prof Nazim Agoulmine, IBISC Lab, University of Evry, University of Paris-Saclay, France

Abstract: Intent-based networking (IBN) is technology that aims to simply the way administrators interacts with autonomic network management system. Administrators could express their business goals in a simple way (ideally natural language) and the IBN is able to interpret these goals and translate them into operational configurations of the IT infrastructure as well as with all the autonomic mechanisms that ensure the satisfaction of the intents in case of changes in the operational context of the infrastructure. This concept has been successfully implemented in ONOS SDN controller and is today operational however recent advances in Artificial Intelligence are envisioning more advances in rending IT and Network infrastructures more adaptable and agile. This presentation aims to present this technology and what's new and what's old in this concept.

Bio: Nazim Agoulmine is a full professor at the university of Evry Val d'Essonne/ Paris Saclay University since 2000 and a member of the IBISC Research Laboratory since 2009. He is the deputy director of the IBISC Laboratory and the vice president of the University of Evry in charge of International Relations. From 2011 to 2016, he was working with the French National Research Funding Agency where he held several positions managing large research programs HPNI-SSE (High Performance Networks Infrastructure and Software Science and Engineering 2013-2015), INFRA (Hardware and Software Infrastructures for Future Internet 2011-2013) and INS (Digital Engineering and Security in 2012). From 2013 to 2011, Prof. N.Agoulmine was the director of the LRSM research laboratory at the University of Evry/ENSIIE. Prof N.Agoulmine leaded several National and European research projects in the area of Networking and Multimedia Systems and published numerous research papers and books in the area.


Prof Hafid

Keynote Talk 3 : Scaling Blockchain
By Pr Abdelhakim Hafid, University of Montreal, Canada

Abstract: Blockchain is a promising and revolutionary technology that has the potential to impact almost all industry segments. However, scalability is emerging as one the key challenging issues to its wide adoption. This talk will overview existing solutions to Blockchain scalability, which can be classified into two categories: First layer and second layer solutions. First layer solutions propose modifications to the Blockchain (e.g., Blockchain structure and consensus protocol) while second layer solutions propose mechanisms that are implemented outside of the Blockchain (e.g., state channels and rollups). It will also cover the advantages and tradeoffs of the different scaling solutions.


Bio: Abdelhakim Senhaji Hafid is a Full Professor at the University of Montreal. He is the founding director of Network Research Lab and Montreal Blockchain Lab. Prof. Hafid published over 250 journal and conference papers; he also holds three US patents. He supervised to graduation over 50 graduate and postgraduate students. Prior to joining U. of Montreal, he spent several years, as senior research scientist, at Bell Communications Research (Bellcore), NJ, US working in the context of major research projects on the management of next generation networks. Dr. Hafid consulted for a number of companies and startups in North America; he also has been given several talks/keynotes on Blockchain and its applications. He co-founded Tipot Technologies Inc. (Research & Development Platform for IoT). Prof. Hafid has extensive academic and industrial research experience in the area of the communication networks and distributed systems. His current research interests include Blockchain scalability and security, IoT, Fog/edge computing, and intelligent transport systems.

TECHNICAL SESSIONS: 


Technical Session 1 (Full Papers) : 10h45 - 12h  (20 min presentation + 5 min for questions each paper)
FP1.1. Francisco Gomes, Filipe de Matos, Paulo Rego, Fernando Trinta and José de Souza. Evaluating the use of the Homomorphic Algorithm on Computational.
FP1.2. Vagner Henrique de Souza, Antonio Wendell de Oliveira Rodrigues and Matheus Lima. SmartGrid Improvements on Photovoltaic Systems by Analyzing Energy and Weather Measures.
FP1.3. Karima Boudaoud, Safia Aouragh, Fanny Kalinowski and Marco Winckler. Usability and security of electronic voting systems.

Technical Session 2 (Short Papers) :  12h - 12h30  (10 min presentation + 5 min for questions each paper)
SP2.1. Wilson Silva and Diego Cardoso. Aerial Base Station Allocation Strategy.
SP2.2. KeyvilÂnia V. V. de Freitas, C. Alexandre F. R., James Ferreira M. Jr. and Gabriela A. dos Santos. The use of Machine Learning for predicting the sentence given by the population at a crime scene.

Technical Session 3 (Full Papers) : 14h - 15h15  (20 min presentation + 5 min for questions each paper)
FP3.1. Francisco Junior, Daniel Fiuza, Fabio Gomes, Ivana Cristina, Odorico Monteiro and Mauro Oliveira. A SmartNextGISSA for Monitoring and Predicting of Comorbidities.
FP3.2. Eliel Silva, Jonice Oliveira and Tiago França. CidadeSocial: A social sensing model for urban dynamics.
FP3.3. André Teixeira de Aquino, José Ailton Leão Barboza Júnior, Nicolas de Araujo Moreira and Paulo Peixoto Praça. Impacts of GPS module on energy consumption and machine-learning based battery lifetime estimation.

Technical Session 4 (Full Papers) : 10h45 - 11h35  (20 min presentation + 5 min for questions each paper)
FP4.1. Douglas de Paiva Avelino, Jeann de Souza Teixeira and Antônio Alan Rodrigues de Araújo. Application in Autocad to automate the calculation of mechanical efforts in fiber optic network projects.
FP4.2. Eduardo S. Xavier, Nazim Agoulmine and Joberto S. B. Martins. On Modeling Network Slicing Communication Resources with SARSA Optimization.

Technical Session 5 (Short Papers) : 11h35 - 12h35  (10 min presentation + 5 min for questions each paper)
SP5.1. Joyce Quintino, Carina T. Oliveira and Rossana Andrade. Blockchain Security in the Internet of Things: Literature Review.
SP5.2. Julie Farkouh, Nazim Agoulmine and Audrey Ahoukeng. Intelligent Orchestration of Containerized Applications in Cloud Infrastructures.
SP5.3. Francisco Gomes, Paulo A. L. Rego, Fernando Trinta and Jose De Souza. Comparative Analysis of Service Mesh Platforms in Microservices-Based Benchmark Applications.
SP5.4. Audrey Ahoukeng Donwoung, Nazim Agoulmine and Bachir Djafri. Tooled Methods for the Simulation of Deployment of Safe Services in the Internet of Vehicles.

SHORT PROFESSIONAL COURSES:


Prof Martins

Short Professional Course 1: Intelligent Network Communication Resource Allocation with Applications
By Professor Joberto S.B Martins , UNIFACS, Brazil

Abstract: The Internet and networks are evolving and expanding their utilization dramatically. New paradigms, new protocols, new intelligent solutions, and large-scale complex systems are emerging in various areas of our daily life. Researchers and engineers need to understand the current network evolution trends and to know what relevant new technologies are involved. This short course discusses network evolution and presents the adoption of Machine Learning, Network Slicing, and Software-defined Networking programming paradigms for communications resources in the context of Smart City projects and other relevant verticals. This will allow comprehension of how new technologies can improve system development and highlight their potential.


Bio: Prof. Dr. Joberto S. B. Martins is a Professor at Salvador University (UNIFACS) and holds a Ph.D. in Computer Science from Université Pierre et Marie Curie - UPMC, Paris (1986). He is also an International Professor at HTW - Hochschule für Techknik und Wirtschaft des Saarlandes (Germany) since 2003, Senior Research Period at Université of Paris-Saclay in 2016, Salvador University head and researcher at NUPERC (Computer Network Group) and IPQoS (IP QoS Group) research groups on Network Slicing, Machine Learning, Resource Allocation, Bandwidth Allocation Models, Software Defined Networking, Intelligent Management, Smart Cities and Smart Grid. Previously worked as an  Invited Professor at Université Paris VI and Institut National des Télécommunications (INT) in France and as a  key speaker, teacher, and invited lecturer in various international congresses and companies in Brazil, US, and Europe. Member of the Board of Trustees of the Bahia State Research Support Foundation (FAPESB). Member of IEEE Smart City Committees and former member of IEEE Smart Grid Research.


Prof Hafid

Short Professional Course 2: Introduction to Blockchain Technology: Concept and Applications

By Professor Hakim Abdelhafid, University of Montreal, Canada


Abstract: This short course will start with an introduction to Blockchain technology; it will also briefly cover cryptographic primitives and consensus protocols used to realize Blockchain. It will introduce the concept of smart contracts which are fundamental to the implementation of Blockchain applications.  It will present the different categories of Blockchain. Some Blockchain use cases will be presented. The course will conclude with presenting the limitations and the future of Blockchain.

Bio: Abdelhakim Senhaji Hafid is a Full Professor at the University of Montreal. He is the founding director of Network Research Lab and Montreal Blockchain Lab. Prof. Hafid published over 250 journal and conference papers; he also holds three US patents. He supervised to graduation over 50 graduate and postgraduate students. Prior to joining U. of Montreal, he spent several years, as senior research scientist, at Bell Communications Research (Bellcore), NJ, US working in the context of major research projects on the management of next generation networks. Dr. Hafid consulted for a number of companies and startups in North America; he also has been given several talks/keynotes on Blockchain and its applications. He co-founded Tipot Technologies Inc. (Research & Development Platform for IoT). Prof. Hafid has extensive academic and industrial research experience in the area of the communication networks and distributed systems. His current research interests include Blockchain scalability and security, IoT, Fog/edge computing, and intelligent transport systems.



 Prof Agoulmine

Short Professional Course 3: Introduction to IoT and MEC (Mobile Edge Computing)Technologies
By Professor Nazim Agoulmine, IBISC Lab, University of Evry – Paris Saclay University, France

Abstract: This talk aims to introduce the research activities in the IBISC laboratory around IoT, Edge Computing (a.k.a. Fog Computing), Cloud Computing and Artificial Intelligence and how these technologies are changing the game. The convergence of these technologies along with novel data mining and machine learning techniques is allowing the mass collecting of data and efficient reasoning on it to better predict the future, make better diagnosis, detect anomalies. Applications of these technologies in all verticals of the society such as health, transportation, business, etc is transforming in a significant manner the activities of these domains. This talk will give to the participants an insight of these technologies and these advances. This talk is open to specialists but also to novices in the area.
Bio: Nazim Agoulmine holds a PhD  in Computer Sciences from the University of Paris XI, France. He is a full professor at theuniversity of Evry Val d'Essonne / Paris Saclay University since 1992 and a member of the IBISC Research Laboratory. Since 2019, he is the vice president of the University of Evry in charge of International Relations Strategy and deputy head of the IBISC research laboratory. From 2011 to 2016, he was on secondment with the French National Research Agency where he held several positions: chair and vice-chair of the Digital Sciences and Mathematics (NuMa) department (2011-2016), Director of the INFRA (Hardware and Software Infrastructures for Future Internet) programme (2011-2013) and director of the INS (Digital Engineering and Security) programme (2012). From 2013 to 2011, Prof.N.Agoulmine has directed the LRSM research laboratory at the University of Evry and leaded several European research projects in the area of Networking.


Short Professional Course 4: Privacy and Security of Internet Of Things
By Prof Dr. Karima Boudaoud, University of Nice Sophia Antipolis, France

Abstract: The goal of this short course is to give an overview about the privacy and security issues. This lecture will focus specifically on the risks regarding our privacy and the Internet, security of connected objects and some best practices to reduce security and privacy risks.
Bio: Karima Boudaoud is Associate Professor at the University of Nice Sophia Antipolis. She had obtained her PhD. degree in Computer Sciences from Ecole Polytechnique Fédérale de Lausanne (EPFL).  Her main research interest is Human-centric Security and Privacy management i.e. a security and privacy management oriented towards the User and her previous research field was intrusion detection using multi-agent system. She has participated in several research projects in the area of Networks and Services Security funded by the European Commission, CNRS-INRIA-DGA and Fond National Suisse. She has servers in several TPC and OC of several national and international (IEEE/IFIP or others), conferences and workshops (IM, WWW, ICC, NOMS, etc.).

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