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Electronics
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Advances in Communications Software and Services
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Advances in Communications Software and Services

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Computer Science & Engineering".

Deadline for manuscript submissions: closed (1 June 2022) | Viewed by 14030

Special Issue Editors

Dr. Sami Souihi

E-Mail Website
Guest Editor
Networks and Telecommunications Department, Université Paris-Est Créteil (UPEC) - Lissi Laboratory, 94000 Créteil, France
Interests: next-generation networks; software-defined networking (SDN); network function virtualization (NFV); quality of service (QoS); quality of experience (QoE); autonomic network; machine learning; knowledge dissemination; knowledge plane
Dr. Scott Fowler

E-Mail Website
Guest Editor
Department of Science and Technology, Linköping University, Campus Norrköping, SE-601 74 Norrköping, Sweden
Interests: next-generation networks; wireless; data/network analytics; energy-efficient systems; machine learning; optimization; quality of service (QoS); quality of experience (QoE); Internet of Things; cloud computing
Dr. Hai Anh Tran

E-Mail Website
Guest Editor
School of Information and Communication Technology, Hanoi University of Science and Technology, Hanoi 10000, Vietnam
Interests: computer networks; next-generation networks; software-defined networks; knowledge-defined networks; machine learning; optimization; quality of service (QoS); quality of experience (QoE); Internet of Things; cloud computing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Computer networks and associated services have seen significant development in recent years. This is due in particular to the increasing integration of network programmability and artificial intelligence (AI), which has made it possible to improve the quality of experience (QoE) and guarantee availability, personalization, reliability, and security. Nevertheless, the massive increase in users and data traffic remains the main constraint for these networks and requires continuous system improvement. This Special Issue aims to invite submissions for new works on communications software and services. We want to gather interested researchers from academia and industry to propose new ideas, recent results, and future challenges. Potential topics include but are not limited to:

  • Blockchains and applications;
  • Machine learning (ML) and artificial intelligence (AI) for networking;
  • Software-defined network (SDN) and network function virtualization (NFV) technologies;
  • Performance evaluation of communication software;
  • Sensor and IoT networks;
  • Modeling and performance of 5G wireless networks;
  • Next-generation networks and the internet;
  • Software-defined radio (SDR) and cognitive radio networks;
  • Protocols, architectures, and applications for IoT;
  • Energy saving, energy harvesting, and energy scavenging for ad hoc, sensor, and IoT networks;
  • Energy-efficient green communications;
  • Mobile cloud computing (MCC) and mobile edge computing (MEC);
  • Quality of service (QoS) and quality of experience (QoE) in next-generation networks;
  • Data analytics for distributed computing and IoT.

Dr. Sami Souihi
Dr. Scott Fowler
Dr. Hai Anh Tran
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Electronics is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • SDN/NFV
  • SDR
  • QoS/QoE
  • ML/AI
  • blockchain
  • IoT
  • 5G/6G
  • performance evaluation

Published Papers (4 papers)

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Research

21 pages, 1994 KiB  
Article
Crowdsourcing Based Performance Analysis of Mobile User Heterogeneous Services
by Lamine Amour and Abdulhalim Dandoush
Electronics 2022, 11(7), 1011; https://doi.org/10.3390/electronics11071011 - 24 Mar 2022
Cited by 2 | Viewed by 3235
Abstract
In mobile networks, crowdsourcing in Quality of Experience (QoE) assessment phase involves collecting data from the user terminals or dedicated collection devices. A mobile operator or a research group may provide applications that can be run in different mobility test modes such as [...] Read more.
In mobile networks, crowdsourcing in Quality of Experience (QoE) assessment phase involves collecting data from the user terminals or dedicated collection devices. A mobile operator or a research group may provide applications that can be run in different mobility test modes such as walk or drive tests. Crowdsourcing using users’ terminals (e.g., a smartphone) is a cheap approach for operators or researchers for addressing large scale area and may help to improve the allocated resources of a given service and/or the network provisioning in some segments. In this work, we first collect a dataset for three popular Internet services: on-demand video streaming, web browsing and file downloading at the user terminal level. We consider two user terminals from two different vendors and many mobility test modes. The dataset contains more than 220,000 measures from one of the major French mobile operators in the Île-de-France region. The measurements are effectuated for six months in 2021. Then, we implement different models from the literature for estimating the QoE in terms of user’s Mean Opinion Score (MOS) for every service using features at radio or application levels. After that, we provide an in-depth analysis of the collected dataset for detecting the root cause of poor performance. We show that the radio provisioning issues is not the only cause of detected anomalies. Finally, we discuss the prediction quality of HD video streaming service (i.e., launch time, the bitrate and the MOS) based only on the physical indicators. Our analysis is applied on both plain-text and encrypted traffic within different mobility modes. Full article
(This article belongs to the Special Issue Advances in Communications Software and Services)
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20 pages, 1585 KiB  
Article
A Novel Adaptive East–West Interface for a Heterogeneous and Distributed SDN Network
by Nam-Thang Hoang, Hai-Nam Nguyen, Hai-Anh Tran and Sami Souihi
Electronics 2022, 11(7), 975; https://doi.org/10.3390/electronics11070975 - 22 Mar 2022
Cited by 12 | Viewed by 4587
Abstract
In the years since its initiation, the software-defined network paradigm has evolved into a distinguished networking technology by causing a revolution in separating the control logic from physical devices and centralizing software-based controllers. Despite its indisputable benefits compared with the traditional network, the [...] Read more.
In the years since its initiation, the software-defined network paradigm has evolved into a distinguished networking technology by causing a revolution in separating the control logic from physical devices and centralizing software-based controllers. Despite its indisputable benefits compared with the traditional network, the SDN raises the challenge of scalability with its physically centralized control. The only potential solution is to transform it into physically distributed SDN control. However, this solution requires the interoperability between SDN controllers, and the consistency of network state being distributed across these controllers. Although some east–west interfaces that help SDN controllers exchange network information have been released, they reveal several drawbacks. First, they cannot support a heterogeneous SDN system where SDN controllers are developed by different providers. Secondly, their consistency solution is simple in disregarding the tradeoff between the consistency level and the performance of SDN networks. This paper proposes an east–west interface, called SINA, to provide the interoperability of a heterogeneous and distributed SDN network. In addition, a novel reinforcement-learning-based consistency algorithm is introduced for an adaptive, quorum-based replication mechanism. The experimental results showed that SINA successfully connects heterogeneous and distributed SDN domains and balances the consistency and network performance. Full article
(This article belongs to the Special Issue Advances in Communications Software and Services)
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25 pages, 1255 KiB  
Article
Securing Workflows Using Microservices and Metagraphs
by Loïc Miller, Pascal Mérindol, Antoine Gallais and Cristel Pelsser
Electronics 2021, 10(24), 3087; https://doi.org/10.3390/electronics10243087 - 11 Dec 2021
Cited by 1 | Viewed by 2325
Abstract
Companies such as Netflix increasingly use the cloud to deploy their business processes. Those processes often involve partnerships with other companies, and can be modeled as workflows where the owner of the data at risk interacts with contractors to realize a sequence of [...] Read more.
Companies such as Netflix increasingly use the cloud to deploy their business processes. Those processes often involve partnerships with other companies, and can be modeled as workflows where the owner of the data at risk interacts with contractors to realize a sequence of tasks on the data to be secured. In this paper, we first show how those workflows can be deployed and enforced while preventing data exposure. Second, this paper provides a global framework to enable the verification of workflow policies. Following the principles of zero-trust, we develop an infrastructure using the isolation provided by a microservice architecture to enforce owner policy. We implement a workflow with our infrastructure in a publicly available proof of concept. This work allows us to verify that the specified policy is correctly enforced by testing the deployment for policy violations, and find the overhead cost of authorization to be reasonable for the benefits. In addition, this paper presents a way to verify policies using a suite of tools transforming and checking policies as metagraphs. It is evident from the results that our verification method is very efficient regarding the size of the policies. Overall, this infrastructure and the mechanisms that verify the policy is correctly enforced, and then correctly implemented, help us deploy workflows in the cloud securely. Full article
(This article belongs to the Special Issue Advances in Communications Software and Services)
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16 pages, 1046 KiB  
Article
On-Board Data Management Layer: Connected Vehicle as Data Platform
by Khireddine Benaissa, Salim Bitam and Abdelhamid Mellouk
Electronics 2021, 10(15), 1810; https://doi.org/10.3390/electronics10151810 - 28 Jul 2021
Cited by 1 | Viewed by 2762
Abstract
For connected vehicles, as well as generally for the transportation sector, data are now seen as a precious resource. They can be used to make right decisions, improve road safety, reduce CO2 emissions, or optimize processes. However, analyzing these data is not [...] Read more.
For connected vehicles, as well as generally for the transportation sector, data are now seen as a precious resource. They can be used to make right decisions, improve road safety, reduce CO2 emissions, or optimize processes. However, analyzing these data is not so much a question of which technologies to use, but rather about where these data are analyzed. Thereby, the emerging vehicle architecture has to become a data-oriented architecture based on embedded computing platforms and take into account new applications, artificial intelligence elements, advanced analytics, and operating systems. Accordingly, in this paper, we introduce the concept of data management to the vehicle by proposing an on-board data management layer, so that the vehicle can play the role of data platform capable of storing, processing, and diffusing data. Our proposed layer supports analytics and data science to deliver additional value from the connected vehicle data and stimulate the development of new services. In addition, our data platform can also form or contribute to shaping the backbone of data-driven transport. An on-board platform was built where the dataset size was reduced 80% and a rate of 99% accuracy was achieved in a 5 min traffic flow prediction using artificial neural networks (ANNs). Full article
(This article belongs to the Special Issue Advances in Communications Software and Services)
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