Green Networking and Computing 2022

A special issue of Computers (ISSN 2073-431X). This special issue belongs to the section "Cloud Continuum and Enabled Applications".

Deadline for manuscript submissions: closed (1 March 2024) | Viewed by 7470

Special Issue Editor


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Guest Editor
Faculty of electrical engineering, mechanical engineering and naval architecture (FESB), University of Split, R. Boskovica 32, 21000 Split, Croatia
Interests: energy-efficient networking and computing; telecommunications; wireline/wireless networks; sensor networks; Internet of Things; cloud computing; system optimization; renewable energies; cognitive radio
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Special Issue Information

Dear Colleagues,

The topic of “Green Networking and Computing 2022” is attracting attention for economic, energetic, and environmental reasons. The rapidly increasing amount of power consumed by Information and Communication Technology (ICT), as well as the energy bills of service providers, are main economic reasons for improving ICT energy efficiency trough implementation of green networking and computing paradigm. According to a number of studies, ICT alone is responsible for between 2% and 10% of the world’s power consumption due to the ever-increasing diffusion of electronic devices. Communication networks, including the Internet and wireless networks, represent a non-negligible part of ICT energy consumption. In addition, the carbon footprint of ICT devices caused by their energy consumption and the activities related to their entire lifecycle contributes to global warming.

In recent years, energy-saving techniques using new-generation devices and network management approaches exploiting algorithms and protocols for adapting the network to varying traffic loads have been considered for communication networks. The Special Issue on “Green Networking and Computing 2022” aims to serve as a platform for researchers and visionaries from academia, research labs, and industry from all over the world. Sharing ideas, views, results, and experiences in the field of green wired and wireless networking is the intention of this Special Issue. Anything from theoretical and experimental achievements to innovative design and management approaches, prototyping efforts, and case studies are within the scope of this Special Issue.

Topics of interest include but are not limited to the following:

  • Implementation of artificial intelligence (AI) for improving the energy efficiency of communication networks and systems; 
  • Power consumption models of networking infrastructure;
  • Power measurements and data from empirical studies of communication networks;
  • Techniques for reducing power consumption in data centers;
  • Hardware and architectural support for reducing power consumption;
  • Energy-efficient network management and internet of things (IoT);
  • Green network design and energy-efficient smart grids;
  • Applications of green networking technologies and principles;
  • Cross-layer optimization for reducing energy consumption;
  • Optimization of energy consumption in optical networks;
  • Energy-efficient protocols and transmission techniques;
  • Energy-efficient fog and edge computing;
  • Energy-efficient peer-to-peer networking and overlays;
  • Energy-efficient cloud computing and network function virtualization;
  • Green wireless access networks;
  • Green wired access networks;
  • Green future Internet and software-defined networking;
  • Energy cost models for network operators;
  • Energy-efficient sensor networks;
  • Renewable energy sources for wired and wireless access networks;
  • Antenna design and transmission technologies for reducing energy consumption;
  • Green communication technologies for smart cities;
  • Energy-efficient vehicles and industrial communications;
  • Energy-efficient critical communications;
  • Green mobile applications;
  • Green cognitive radio networks. 

This Special Issue is organised in cooperation with the 13th Symposium on “Green Networking and Computing” (SGNC 2022), which will be held during the 30th International Conference on Software, Telecommunications, and Computer Networks (SoftCOM 2022). More details : 

http://softcom2022.fesb.unist.hr/wp-content/uploads/2022/09/2022_CfP_SGNC-2022_Green-net_lorincz.pdf.

The authors of selected papers presented at the SGNC 2022 symposium are invited to submit the extended versions of their papers to this Special Issue of Computers journal. Submitted papers should be extended to have the length of regular research or review articles, and overall results should be extended by at least 70% (e.g., in the form of technical extensions, more in-depth evaluations, or additional use cases).

Dr. Josip Lorincz
Guest Editor

Manuscript Submission Information

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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. Computers is an international peer-reviewed open access monthly 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 1800 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

  • green wireline networking
  • energy-efficient data centres
  • green cloud computing
  • energy-efficient sensor networks
  • green IoT/IoE networks
  • energy-efficient industrial communications
  • sustainable networking and computing
  • artificial intelligence (AI) techniques for energy efficiency
  • energy-efficient resource management
  • energy-efficient algorithms and protocols

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Published Papers (3 papers)

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Research

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20 pages, 4835 KiB  
Article
Voltage and Reactive Power-Optimization Model for Active Distribution Networks Based on Second-Order Cone Algorithm
by Yaxuan Xu, Jihao Han, Zi Yin, Qingyang Liu, Chenxu Dai and Zhanlin Ji
Computers 2024, 13(4), 95; https://doi.org/10.3390/computers13040095 - 9 Apr 2024
Cited by 2 | Viewed by 1468
Abstract
To address the challenges associated with wind power integration, this paper analyzes the impact of distributed renewable energy on the voltage of the distribution network. Taking into account the fast control of photovoltaic inverters and the unique characteristics of photovoltaic arrays, we establish [...] Read more.
To address the challenges associated with wind power integration, this paper analyzes the impact of distributed renewable energy on the voltage of the distribution network. Taking into account the fast control of photovoltaic inverters and the unique characteristics of photovoltaic arrays, we establish an active distribution network voltage reactive power-optimization model for planning the active distribution network. The model involves solving the original non-convex and non-linear power-flow-optimization problem. By introducing the second-order cone relaxation algorithm, we transform the model into a second-order cone programming model, making it easier to solve and yielding good results. The optimized parameters are then applied to the IEEE 33-node distribution system, where the phase angle of the node voltage is adjusted to optimize the reactive power of the entire power system, thereby demonstrating the effectiveness of utilizing a second-order cone programming algorithm for reactive power optimization in a comprehensive manner. Subsequently, active distribution network power quality control is implemented, resulting in a reduction in network loss from 0.41 MW to 0.02 MW. This reduces power loss rates, increases utilization efficiency by approximately 94%, optimizes power quality management, and ensures that users receive high-quality electrical energy. Full article
(This article belongs to the Special Issue Green Networking and Computing 2022)
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21 pages, 6467 KiB  
Article
Architectural and Technological Approaches for Efficient Energy Management in Multicore Processors
by Claudiu Buduleci, Arpad Gellert, Adrian Florea and Remus Brad
Computers 2024, 13(4), 84; https://doi.org/10.3390/computers13040084 - 22 Mar 2024
Viewed by 1610
Abstract
Benchmarks play an essential role in the performance evaluation of novel research concepts. Their effectiveness diminishes if they fail to exploit the available hardware of the evaluated microprocessor or, more broadly, if they are not consistent in comparing various systems. An empirical analysis [...] Read more.
Benchmarks play an essential role in the performance evaluation of novel research concepts. Their effectiveness diminishes if they fail to exploit the available hardware of the evaluated microprocessor or, more broadly, if they are not consistent in comparing various systems. An empirical analysis of the consecrated Splash-2 benchmarks suite vs. the latest version Splash-4 was performed. It was shown that on a 64-core configuration, half of the simulated benchmarks reach temperatures well beyond the critical threshold of 105 °C, emphasizing the necessity of a multi-objective evaluation from at least the following perspectives: energy consumption, performance, chip temperature, and integration area. During the analysis, it was observed that the cores spend a large amount of time in the idle state, around 45% on average in some configurations. This can be exploited by implementing a predictive dynamic voltage and frequency scaling (DVFS) technique called the Simple Core State Predictor (SCSP) to enhance the Intel Nehalem architecture and to simulate it using Sniper. The aim was to decrease the overall energy consumption by reducing power consumption at core level while maintaining the same performance. More than that, the SCSP technique, which operates with core-level abstract information, was applied in parallel with a Value Predictor (VP) or a Dynamic Instruction Reuse (DIR) technique, which rely on instruction-level information. Using the SCSP alone, a 9.95% reduction in power consumption and an energy reduction of 10.54% were achieved, maintaining the performance. By combining the SCSP with the VP technique, a performance increase of 8.87% was obtained while reducing power and energy consumption by 3.13% and 8.48%, respectively. Full article
(This article belongs to the Special Issue Green Networking and Computing 2022)
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Review

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19 pages, 1660 KiB  
Review
Traditional vs. Modern Data Paths: A Comprehensive Survey
by Ahmad Barghash, Lina Hammad and Ammar Gharaibeh
Computers 2022, 11(9), 132; https://doi.org/10.3390/computers11090132 - 31 Aug 2022
Viewed by 2821
Abstract
Recently, many new network paths have been introduced while old paths are still in use. The trade-offs remain vague and should be further addressed. Since last decade, the Internet is playing a major role in people’s lives, and the demand on the Internet [...] Read more.
Recently, many new network paths have been introduced while old paths are still in use. The trade-offs remain vague and should be further addressed. Since last decade, the Internet is playing a major role in people’s lives, and the demand on the Internet in all fields has increased rapidly. In order to get a fast and secure connection to the Internet, the networks providing the service should get faster and more reliable. Many network data paths have been proposed in order to achieve the previous objectives since the 1970s. It started with the Transmission Control Protocol (TCP) and the User Datagram Protocol (UDP) and later followed by several more modern paths including Quick UDP Internet Connections (QUIC), remote direct memory access (RDMA), and the Data Plane Development Kit (DPDK). This raised the question on which data path should be adopted and based on which features. In this work, we try to answer this question using different perspectives such as the protocol techniques, latency and congestion control, head of line blocking, the achieved throughput, middleboxes consideration, loss recovery mechanisms, developer productivity, host resources utilization and targeted application. Full article
(This article belongs to the Special Issue Green Networking and Computing 2022)
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