Computing-Based Network Innovations: Architecture, Theory, and Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: 15 August 2024 | Viewed by 566

Special Issue Editors

College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China
Interests: broadband THz communications; ultra-fast fiber-optical communications; advanced signal processing; THz sensing
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Guest Editor
Jiangsu Engineering Research Center of Novel Optical Fiber Technology and Communication Network and School of Electronic and Information Engineering, Soochow University, Suzhou 215006, China
Interests: quantum cryptography; 5G mobile communication; learning (artificial intelligence); passive optical networks; Quality of service; telecommunication security; telecommunication traffic; computer network security

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Guest Editor
State Key Laboratory of Information Photonics and Optical Communications, Beijing University of Posts and Telecommunications (BUPT), Beijing 100876, China
Interests: computing power network; 5G optical transport network; secure optical communication; artificial intelligence; optical network

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Guest Editor
School of Computing and Artificial Intelligence, Southwest Jiaotong University, Chengdu 610031, China
Interests: network function virtualization; online computing; network reliability and security; ecological digital twin system

Special Issue Information

Dear Colleagues,

This Special Issue delves into the synergistic relationship between advanced computing technologies and network architectures, with a particular emphasis on 'computing power and network awareness'. It explores how innovative computing paradigms like cloud, edge, and fog computing are fundamentally transforming network design, making them more efficient, scalable, and responsive. The issue focuses on integrating computing power into networking, enhancing network awareness, and enabling more intelligent network management and optimization. It covers a range of topics, including theoretical foundations like algorithms and protocols, practical applications in sectors like IoT, smart cities, healthcare, and industrial automation, and emerging trends such as AI and machine learning in network operations, and quantum computing in network security. Furthermore, it addresses the critical aspect of sustainability in network solutions, aligning with global efforts to reduce carbon emissions. This issue aims to bring together leading researchers and industry practitioners to share insights and research findings, fostering discussions on novel topics such as how the integration of computing power and network awareness can shape the future of networking and its applications.

We call for papers on the following topics (but not limited to):

  • Computing-based network resource
  • Computing and network convergence
  • 5G-A(B5G)/6G/B6G network
  • Integrated sensing, communication and computing
  • Optical and(or) wireless network integrated with computing service
  • Service, computing and network resource awareness
  • Computing power network
  • In-network computing
  • Measurement of computing resources
  • Digital twin network
  • Security, efficience and cost for computing-based network.

Dr. Lu Zhang
Dr. Jun Li
Dr. Yajie Li
Dr. Danyang Zheng
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

  • computing-based network
  • computing and network convergence
  • integrated sensing, communication and computing
  • optical and(or) wireless network with computing service
  • computing power network

Published Papers (1 paper)

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Research

26 pages, 822 KiB  
Article
Analytical Subnetwork and IP Alias Resolution for Network Tomography Using Path Traces
by Ahmet Aksoy
Electronics 2024, 13(8), 1426; https://doi.org/10.3390/electronics13081426 - 10 Apr 2024
Viewed by 388
Abstract
Mapping of link-level network topologies requires the processing of collected raw traces, including the resolution of alias IPs of router interfaces and underlying subnetworks. There have been several probing techniques for IP alias resolution along with an analytical resolution approach which relies on [...] Read more.
Mapping of link-level network topologies requires the processing of collected raw traces, including the resolution of alias IPs of router interfaces and underlying subnetworks. There have been several probing techniques for IP alias resolution along with an analytical resolution approach which relies on the IP address assignment practices. The analysis of IP address assignments can also reveal the underlying subnetworks, i.e., the link-level connectivity among the routers. In this paper, we present a comprehensive Analytical Subnetwork and Alias IP Resolution (ASIAR) method that relies on the analytical analysis of path traces to infer underlying subnetworks and router interfaces. While ASIAR increases the efficiency of the analytical resolution method, it integrates additional sanity checks and performs parameter adjustment based on the topology sampling characteristics to improve the resolution accuracy. We explore how different network sampling issues affect the analytical resolution, and analyze the accuracy of the ASIAR on synthetic and genuine networks. Compared with the state-of-the-art analytical resolution method, ASIAR is able to increase both precision and recall by fine-tuning the parameters of sanity checks used for analytical subnetwork and IP alias resolution. Full article
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