International Workshop on ADVANCEs in ICT Infrastructures and Services
Zaragoza,
Spain
2-4 February 2021
Technical
Programme
Download Open Access ADVANCE 2021 Proceedings
| Time Zone (CET) | Tuesday February 2th, 2021 |
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13:45-14:00 |
OPENING from General Chair and TPC chair |
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14:00-15:15 |
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15:15-16:30 |
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16:30-16:45 |
VIRTUAL SOCIAL COFFEE |
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16:45-18:00 |
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18:00-19:00 |
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19:00-19:15 |
CLOSING |
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
Keynote 2 - Feb 2nd (Tuesday) 4.45pm.18.00pm
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
TECHNICAL SESSIONS
Technical Session 1 (Full Papers) - Tuesday, February
2nd, 2021 (Full Papers)
Paper 1.1 An Approach of Risk Maturity Models for SOA
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.
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
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
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
Paper 2.1 BAMSim Simulator for Link Bandwidth Allocation
and Sharing with BAM Models
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
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
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
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.
