ADVANCE 2021

International Workshop on ADVANCEs in ICT Infrastructures and Services

Zaragoza, Spain
2-4 February 2021

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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.
The edition 2021 of the workshop will be organized fully virtually and participation will be online and free. However all participants should be registered to be able to access to the workshop sessions.


Download Open Access ADVANCE 2021 Proceedings 

ADVANCE 2021 Programme on glance:

 

Time Zone (CET) Tuesday February 2th, 2021

13:45-14:00

OPENING from General Chair and TPC chair

14:00-15:15

Keynote  Talk 1

15:15-16:30

Technical session 1 (FP)

16:30-16:45

VIRTUAL SOCIAL COFFEE

16:45-18:00

Keynote  Talk 2

18:00-19:00

Technical session 2 (WiP SP)

19:00-19:15

CLOSING

 
Keynote 1 - Feb 2nd (Tuesday) 2.00pm-15.15pm Back

AI at the Edge: Service Orchestration & Enactment Across IoT, Edge & Cloud Resources


By Prof. Omer F.Rana -- Cardiff University (UK)


Abstract

Internet of Things (IoT) applications today involve data capture from sensors and devices that are close to the phenomenon being measured, with such data subsequently being transmitted to Cloud data centre for storage, analysis and visualisation. Currently devices used for data capture often differ from those that are used to subsequently carry out analysis on such data. Increasing availability of storage and processing devices closer to the data capture device, perhaps over a one-hop network connection or even directly connected to the IoT device itself, requires more efficient allocation of processing across such edge devices and data centres. Supporting machine learning directly on edge devices also enables support for distributed (federated) learning, enabling user devices to be used directly in the inference or learning process. Scalability in this context needs to consider both cloud resources, data distribution and initial processing on edge resources closer to the user. This talk considers whether a data comms. network can be enhanced using edge resources, and whether a combined use of edge, in-network (in-transit) and cloud data centre resources provide an efficient infrastructure for machine learning and AI.


The following questions are addressed in this talk:


  • How do we partition machine learning algorithms across Edge-Network-Cloud resources -- based on constraints such as privacy capacity and resilience?
  • Can machine learning algorithms be adapted based on the characteristics of devices on which they are hosted? What does this mean for stability/ convergence vs. performance?
  • Do we trade-off accuracy for “explainability” of results? Given a complex parameter space can “approximations” help with explaining the basis of results?

Bio

Omer F. Rana is a Professor of Performance Engineering at Cardiff University, with research interests in high performance distributed computing, data analysis/mining and multi-agent systems. Currently, he is the Dean of International for the Physical Sciences and Engineering College. He previously led the Complex Systems Research Group. He was formerly the deputy director of the Welsh eScience Centre and had the opportunity to interact with a number of computational scientists across Cardiff University and the UK. He serves on the steering committee of Cardiff University's multi-disciplinary "Data Innovation" and "Energy Systems" Research Institutes. Rana has contributed to specification and standardisation activities via the Open Grid Forum and worked as a software developer with London-based Marshall Bio-Technology Limited prior to joining Cardiff University, where he developed specialist software to support biotech instrumentation. He also contributed to public understanding of science, via the Wellcome Trust funded "Science Line", in collaboration with BBC and Channel 4. Rana holds a PhD in "Neural Computing and Parallel Architectures" from Imperial College (London Univ.), an MSc in Microelectronics (Univ. of Southampton) and a BEng in Information Systems Eng. from Imperial College (London Univ.). He serves on the editorial boards (as Associate Editor) of IEEE Transactions on Parallel and Distributed Systems, (formerly) IEEE Transactions on Cloud Computing, IEEE Cloud Computing magazine and ACM Transactions on Internet Technology. He is a founding-member and associate editor of ACM Transactions on Autonomous & Adaptive Systems.

Keynote 2 - Feb 2nd (Tuesday) 4.45pm.18.00pmBack

Scalability of LoRa Networks for Dense IoT Deployment Scenarios: limitations and perspectives

By Prof Congduc Pham -- Université de Pau et Pays de l’Adour (France)



Abstract

Recent Low-Power Wide Area Networks (LPWAN) introduced by Sigfox and Semtech are currently gaining incredible interest and are under intense deployment campaigns worldwide. These technologies are mostly simple ALOHA systems with well-known performance limitations. Moreover, due to the extremely low throughput of these long-range technologies, the time-on-air of message can be very large, typically in the range of several seconds, thus dramatically increasing the probability of packet error and collisions. Given the incredible worldwide uptake of LPWAN networks for a large variety of innovative IoT applications, including multimedia sensors, it is important to understand the challenges behind large scale and dense LPWAN deployment, especially because both Sigfox and LoRa networks are currently deployed in unlicensed bands. This talk has a particular focus on LoRa technology as it can be deployed in a private and ad-hoc manner, making community-based deployments possible. In the presention we will review the main LoRa/LoRaWAN characteristics and will then discuss about LoRa/LoRaWAN network scalability in relation with unlicensed band regulations, interferences and various interference mitigation techniques including capture effect, challenges behind channel access mechanism and reliability of Clear Channel Assessment in these LPWAN networks. Perspectives to improve scalability with smarter channel access mechanisms will be discussed.

Bio

Dr Congduc Pham is a Professor of Computer Science at the University of Pau (France). He obtained his Ph.D in Computer Science in 1997 at the LIP6 Laboratory (University Paris 6, Pierre and Marie Curie). His current research interests include wireless sensor networking, Internet of Thing, congestion control/resource allocation and QoS for cloud computing infrastructures. He has published more than 140 papers in international conferences and journals, and gave more than 80 tutorials/keynotes and scientific presentations. In EU H2020 WAZIUP and EU H2020 WAZIHUB, he is one of the scientific expert on Internet-of-Thing and LoRa technology and developed the while LoRa IoT generic framework used in both projects for large-scale deployment of IoT in Africa. He also produced a number of tutorial videos and an online tutorial on sensor technologies, LoRa and IoT kit to be used in hackathons and training sessions. In EU H2020 HUBIQUITOUS he will define the IoT & AI SolutionLab infrastructure to make access to innovative and disruptive technologies more accessible to African startups and entrepreneurs. He will be coordinating the PRIMA-EU INTEL-IRRIS to deploy low-cost and lean solutions for enhancing irrigation efficiency of smallholder farmers.



TECHNICAL SESSIONS

Technical Session 1 (Full Papers) - Tuesday, February 2nd, 2021 (Full Papers)Back

Paper 1.1 An Approach of Risk Maturity Models for SOA
Rafael Azevedo and Paulo Silva
Universidade Salvador (Unifacs), Salvador, Bahia, Brazil.
Abstract: Intensive use of Service Oriented Architecture (SOA) based technologies provides organizations with more competitiveness and transparency, but incorporates risks and challenges. Although SOA has become the primary means for the delivery and distribution of services and reuse of software components, SOA raises concerns regarding the risks to which the organization is exposed. In order to identify how organizations and academia deal with SOA risks, this paper presents a comparative study of existing risk maturity models, providing support for developing criteria for measuring and analyzing SOA risk maturity once it was not found in the literature specific risk maturity models for SOA. In addition, a literature review is presented in order to identify the state of the art on SOA risk management maturity model proposals. As a result, this paper highlights the need for a risk maturity model for SOA.

Paper 1.2  Smart Cities Evaluations through SMM Framework - Sustainability Maturity Model

Eber Santana and Éldman Nunes
Universidade Salvador - PPGCOMP of Salvador, Bahia, Brazil
Abstract: The insertion of Communication and Information Technologies (ICT's) in the scope of city management can facilitate managers' decision making, thus creating improvements in the infrastructure and services offered to citizens and can serve as a subsidy to the creation of Intelligent Cities. In order to assess the level of maturity of an intelligent city, this article aims to propose and apply a new framework, because most of the models used do not follow a standard and/or are not able to be compared with each other. Named SMM - Sustainability Maturity Model, it was inspired by the CMMI maturity indexes, the COBIT process controls and used ISO 37122 indicators, thus serving as statistical measurement of ISO indicators, adapted to the CMMI maturity model and COBIT best management practices. In this way, the stages of the framework were developed, and a case study was conducted in the cities of São Paulo, Rio de Janeiro and Salvador in order to validate it. As a result, it was observed that the SMM allowed classifying the cities by their level of maturity. Such measurement and comparison of maturity level was considered for the Intelligent Economy Domain of 3 of the 4 largest Brazilian cities in population. This evaluation adds value to the city that wishes to become intelligent, thus being able to serve as a basis for the application of new evaluations and measurement of the evolution of these environments.

Paper 1.3 An Innovative Negotiations and Enactment Smart Contract-based Framework for on-line Sharing Economy Platforms
Layth Sliman1,2, Benoit Charroux1 and Nazim Agoulmine2
1EFREI Paris, Villejuif, France
2IBISC Laboratory, University of Evry - Paris-Saclay University, Evry, France

Abstract:
Despite the spread of sharing economy platforms, as the best of our knowledge, no online solution has been proposed to handle the negotiation of new agreements and contracts between the participants in such platforms, which entails losing major business opportunities due to a lack of negotiation frameworks enabling mutual business and legal agreements.
This paper describes an innovative smart contract-based negotiation framework integrated into sharing economy platforms to enable dynamic negotiation and electronic signature of digital agreements between partners. The proposed framework itself is technology agnostic. It can be used with any distributed collaborative platform regardless of the used technologies (web service, blockchain, etc.). We have used smart contract system as a mean to initiate and submit negotiated calls for tenders to respond to a business opportunity by multiple actors. The implementation uses the Orcha language, a new high-level smart contract language, to validate the framework concepts.

Paper 1.4 An Architecture Proposal for E-health Data Collection and Storage Based on Internet of Things and Blockchain
Emanuel Coutinho and Alan Nascimento Gomes
Federal University of Ceara (UFC), Quixada, Ceara, Brazil

Abstract:
Currently, several technologies are being used together to improve the quality of services for people.
Specifically for the health area, the application possibilities involving both software and hardware are quite diverse.
Internet of Things (IoT) and Blockchain are two technologies that are currently integrating more and more to provide better services, taking advantage of their characteristics. This work proposes an architecture for the collection and storage of e-health data, based on IoT and Blockchain. For its validation, a prototype was designed and the flow of operations was analyzed.


Technical Session 2 (WiP Short Papers) - Tuesday, February 2nd, 2021 Back

Paper 2.1 BAMSim Simulator for Link Bandwidth Allocation and Sharing with BAM Models
Rafael Freitas Reale2, Walter Pinto Neto1 and Joberto S. B. Martins1
1Salvador University (UNIFACS), Salvador, Bahia, Brazil
2Federal Institute of Bahia (IFBA), Valenca, Bahia, Brazil
Abstract: Resource allocation is an essential design aspect for current and new systems like 5G/6G, the internet of things (IoT), smart cities, and smart grid that present a large number of users with distinct resource allocation requirements. On the other hand, bandwidth allocating is an essential design aspect in the broadly used multi-protocol label switched and OpenFlow/SDN network infrastructures. The bandwidth allocation models (BAMs) are an alternative to allocate and share bandwidth among network users grouped in traffic classes for network infrastructures in general. BAMs have an extensive number of parameters that need to be defined and tuned to achieve an expected network performance. This paper presents the BAMSim bandwidth allocation model (BAM) simulator to support the network manager decision process in choosing a set of BAM configuration parameters for network design or during network operation. BAMSim, in general, aims to facilitate the design process of bandwidth allocation in network infrastructures and foster the BAM-based bandwidth allocation learning curve.

Paper 2.2 Task Scheduling Algorithms for Fog paradigm
Celestino Barros1, Victor Rocio2, André Sousa3 and Hugo Paredes4
1University of Cabo Verde
2INESC TEC and Open University of Portugal
3Critical TechWorks
4INESCT TEC and University of Trás-os-Montes and Alto Douro
Abstract: Task scheduling in fog paradigm is highly complex and in the literature, there are still few studies on it. In the cloud architecture, it is widely studied and in many researches, it is approached from the perspective of service providers. Trying to bring innovative contributions in these areas, in this paper, we propose a solution to the context-aware task-scheduling problem for fog paradigm. In our proposal, different context parameters are normalized through Min-Max normalization; requisition priorities are defined through the application of the Multiple Linear Regression (MLR) technique and scheduling is performed using Multi-Objective Non-Linear Programming Optimization (MONLIP) technique.

Paper 2.3 SDN Controllers - A Comparative Market Survey

Francisco Jose Badaro Valente Neto, Constantino Jacob Miguel, Ana Carla dos S. de Jesus and Paulo N.M.Sampaio
Salvador University (UNIFACS), Salvador, Bahia, Brazil
Abstract:
Software-Defined Networks (SDNs) have been used in the last decade as a solution to provide greater flexibility in controlling traffic being distributed over a network, promoting the reuse and optimization of network resources. SDN´s architecture decouples routing intelligence (Control Plane) from routing functions (Data Plan/Forwarding Plane), through a component called SDN controller which centralizes the Control Plane. Therefore, it is required that the controller´s performance and functions provide an optimal integration with both Forwarding Devices (Network Elements) and with the support to new applications to be proposed within the context of software-defined network paradigm. Nevertheless, the rapid development of this paradigm and the increasing availability of different controllers within the market makes it difficult to choose a suitable one. This paper compares briefly the top six SDN controllers according to the market preference, looking not only to unveil some theoretical aspects but also to have an insight about their market acceptance.

Paper 2.4 Blockchain Applications with Permissionless Distributed Ledger Technology
Emanuel Coutinho and Alan Nascimento Gomes
Federal University of Ceara (UFC), Quixada, Ceara, Brazil
Abstract: Blockchain is currently a technology that has been attracting a lot of attention both in academia and industry. Several areas of expertise are benefiting from blockchain due to its characteristics, such as data security, decentralization, traceability and immutability. The objective of this work is to present the use of a blockchain allowed with the implementation of a prototype in the context of e-health applications. Preliminary results indicate that blockchain can be well used for e-health applications, integrating with other technologies.


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