Advances in Energy-Efficient Computer and Network Systems

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 5299

Special Issue Editor


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Guest Editor
Department of Economics, Roma Tre University, 00154 Rome, Italy
Interests: analysis and evaluation of non-functional requirements of computer systems; techniques and tools for performance and energy efficiency optimization; cloud computing and elastic computing platforms; data grids; concurrent and parallel programming

Special Issue Information

Dear Colleagues,

The ever-growing demand for computing and networking services has led to a significant increase in the energy consumption of the ICT sector worldwide. More and more computer and network applications require immense computing power and intense network usage, and thus the amount of energy used by data centers and networking infrastructures has rapidly increased over recent years. In addition, wireless sensor networks and mobile devices, for which energy efficiency represents a key aspect, are increasingly pervasive. Accordingly, reducing the power usage of all these systems and making them more energy-efficient is a compelling need.

On the other hand, the complexity of computer and network systems is ever increasing. Thus, building energy-efficient computer and network systems poses various challenges at different levels of the architectural stack, from user-level software applications to low-level hardware components.

This Special Issue focuses on recent advances from research and industry on energy-efficient computer and network systems. Original contributions, reviews, and surveys are welcome. Extended versions of previously published conference papers are accepted if they include at least 30% new contributions.

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

  • Analysis and design of energy-efficient software and hardware systems;
  • Analysis and optimization of energy efficiency in Cloud, Fog, and Edge Computing;
  • Approaches and techniques for energy-efficient Big Data processing;
  • Approaches and techniques for energy-efficient high-performance computing applications;
  • Techniques and tools for evaluating energy efficiency in computer and network systems;
  • Techniques for automated energy consumption characterization and profiling of computer and network systems;
  • Novel approaches for designing and managing energy-efficient computer and network architectures;
  • New metrics and measurement techniques for energy-efficient computers and networks;
  • Evaluation and optimization of emerging energy-efficient computer and network architectures;
  • Techniques and tools for improving the energy efficiency of existing computer and network system components.

Dr. Pierangelo Di Sanzo
Guest Editor

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Keywords

  • analysis and optimization of energy efficiency in computer and network systems
  • energy-efficient cloud, fog and edge computing and networking
  • energy-efficient big data processing
  • energy-efficient high-performance computing
  • new energy consumption analysis and characterization techniques
  • energy-aware computing and networking
  • energy metrics and measurement tools for computers and networks
  • energy-efficient hardware and software

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Published Papers (2 papers)

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Research

19 pages, 2089 KiB  
Article
Downlink Power Allocation for CR-NOMA-Based Femtocell D2D Using Greedy Asynchronous Distributed Interference Avoidance Algorithm
by Nahla Nur Elmadina, Rashid Saeed, Elsadig Saeid, Elmustafa Sayed Ali, Maha Abdelhaq, Raed Alsaqour and Nawaf Alharbe
Computers 2023, 12(8), 158; https://doi.org/10.3390/computers12080158 - 3 Aug 2023
Cited by 8 | Viewed by 1699
Abstract
This paper focuses on downlink power allocation for a cognitive radio-based non-orthogonal multiple access (CR-NOMA) system in a femtocell environment involving device-to-device (D2D) communication. The proposed power allocation scheme employs the greedy asynchronous distributed interference avoidance (GADIA) algorithm. This research aims to optimize [...] Read more.
This paper focuses on downlink power allocation for a cognitive radio-based non-orthogonal multiple access (CR-NOMA) system in a femtocell environment involving device-to-device (D2D) communication. The proposed power allocation scheme employs the greedy asynchronous distributed interference avoidance (GADIA) algorithm. This research aims to optimize the power allocation in the downlink transmission, considering the unique characteristics of the CR-NOMA-based femtocell D2D system. The GADIA algorithm is utilized to mitigate interference and effectively optimize power allocation across the network. This research uses a fairness index to present a novel fairness-constrained power allocation algorithm for a downlink non-orthogonal multiple access (NOMA) system. Through extensive simulations, the maximum rate under fairness (MRF) algorithm is shown to optimize system performance while maintaining fairness among users effectively. The fairness index is demonstrated to be adaptable to various user counts, offering a specified range with excellent responsiveness. The implementation of the GADIA algorithm exhibits promising results for sub-optimal frequency band distribution within the network. Mathematical models evaluated in MATLAB further confirm the superiority of CR-NOMA over optimum power allocation NOMA (OPA) and fixed power allocation NOMA (FPA) techniques. Full article
(This article belongs to the Special Issue Advances in Energy-Efficient Computer and Network Systems)
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17 pages, 3686 KiB  
Article
Application of GNS3 to Study the Security of Data Exchange between Power Electronic Devices and Control Center
by Ivan Nedyalkov
Computers 2023, 12(5), 101; https://doi.org/10.3390/computers12050101 - 5 May 2023
Cited by 3 | Viewed by 2903
Abstract
This paper proposes the use of the GNS3 IP network modeling platform to study/verify whether the exchanged information between power electronic devices and a control center (Monitoring and Control Centre) is secure. For the purpose of this work, a power distribution unit (PDU) [...] Read more.
This paper proposes the use of the GNS3 IP network modeling platform to study/verify whether the exchanged information between power electronic devices and a control center (Monitoring and Control Centre) is secure. For the purpose of this work, a power distribution unit (PDU) and a UPS (Uninterruptable Power Supply) that are used by internet service providers are studied. Capsa Free network analyzer and Wireshark network protocol analyzer were used as supporting tools. A working model of an IP network in GNS3 has been created through which this research has been carried out. In addition to checking whether the exchanged information is secure, a characterization of the generated traffic has been made, showing results for the generated traffic and which ports generate the most traffic. These carried-outstudies show that the exchanged information is not secure. As a way to secure the exchanged information, the use of VPN (Virtual Private Network) technology is proposed; thanks to a VPN, the exchange of information is secure. The obtained results confirm this and validate the applicability of GNS3 to test/study whether data exchange between power electronic devices and a control center is secure. Full article
(This article belongs to the Special Issue Advances in Energy-Efficient Computer and Network Systems)
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