Enhancing energy efficiency and cpu utilization in edge computing
The proposed method proposes a novel approach that helps the edge computing technology to overcome the issues of high CPU utilization and low energy efficiency, particularly
A Layered Framework for Energy-Efficient Edge Computing in
Edge computing has been proposed as a promising solution to overcome the energy inefficiencies of cloud-based IoT systems by utilizing low-power, real-time processing at the source.
Enabling a More Sustainable Energy Model with Edge Computing
Attention has recently been turning to the ways in which edge computing can help build more sustainable solutions. While worldwide energy consumption has significantly dropped as a result of
Comprehensive Review of Edge Computing for Power
The increasing complexity of conventional energy distribution systems, combined with the growing demand for efficient data processing, has
Real-time monitoring and optimization methods for user-side energy
This paper presents a comprehensive framework for real-time monitoring and optimization of user-side energy management systems leveraging edge computing technology.
Hardware Solutions for Low-Power Smart Edge
In the following sections, it surveys candidates that meet both smart edge computing and Internet of Things requirements for low-power devices.
Low-Power VLSI Architectures for Edge Computing: Advancing
This paper explores the design and optimization of low-power Very Large Scale Integration (VLSI) architectures tailored for edge computing, focusing on energy-efficient AI inference.
EDGE COMPUTING FOR LOW-LATENCY ENERGY CONTROL IN
Industrial facilities currently require faster data processing solutions because Industrial Internet of Things (IIoT) technology joined with real-time energy management systems. Traditional
On Enabling Sustainable Edge Computing with Renewable Energy
Abstract: The emergent paradigm of edge computing advocates that computational and storage resources can be extended to the edge of the network so that the impact of data transmission latency
[2508.14601] Multi-Tier UAV Edge Computing for Low Altitude
This paper presents a novel multi-tier UAV-assisted edge computing system designed for low-altitude networks. The system comprises vehicle users, lightweight Low-Tier UAVs (L-UAVs),
Towards Sustainable Satellite Edge Computing
Abstract—Recently, Low Earth Orbit (LEO) satellites expe-rience rapid development and satellite edge computing emerges to address the limitation of bent-pipe architecture in existing satellite systems.
AI-Driven Optimization of Edge Computing for Low
This research explores AI-driven optimization strategies for edge computing, focusing on methods that minimize latency and improve service quality.
Intelligent Edge Computing and Machine Learning: A
Intelligent edge machine learning has emerged as a paradigm for deploying smart applications across resource-constrained devices in next
Optimizing energy and latency in edge computing through a
This paper presents a new approach based on Boltzmann Distribution and Bayesian Optimization to solve the energy-efficient resource allocation in edge computing.
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Hardware Solutions for Low-Power Smart Edge Computing
Abstract and Figures The edge computing paradigm for Internet-of-Things brings computing closer to data sources, such as environmental sensors
Hardware Solutions for Low-Power Smart Edge Computing
A survey of the mainstream embedded computing devices for low power IoT and edge computing is then presented. Finally, CYSmart is introduced
Enhancing energy efficiency and cpu utilization in edge computing
These enhancements help increase the eco-friendly and resourceful nature of edge computing. Results from experiments show that SOResNet improves both performance and energy
Edge Computing Architectures for Low-Latency Data Processing in
Demand for low-latency data processing has led to the development of edge computing, which reduces latency by enabling computation close to the data source and thus minimizing transmission delays
Energy-efficient offloading and resource allocation for mobile edge
The energy cost minimization for mission-critical internet-of-things (IoT) in mobile edge computing (MEC) system is investigated in this work. Therein, short data packets are transmitted
Optimizing Energy Efficient Cloud Architectures for Edge Computing:
Moreover, lowering cloud-edge systems'' energy footprints is essential for fostering sustainability in light of growing concerns about environmental effects. This research presents a comprehensive review of
Low-Power VLSI Architectures for Edge Computing: Advancing Energy
Abstract - Edge computing has emerged as a pivotal paradigm in the deployment of artificial intelligence (AI) applications, particularly in scenarios where real-time processing and low latency are critical.
Rethinking Low-Carbon Edge Computing System Design with
The geographically distributed edge servers can naturally draw power from nearby renewable energy (RE) generators. Complemented by the dynamic scheduling of energy storage batteries, edge
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Faashouse: Sustainable Serverless Edge Computing Through Energy
Serverless edge computing is a specialized system design tailored for Internet of Things (IoT) applications. It leverages serverless computing to minimize operational management and enhance
Energy-Latency Tradeoff for Energy-Aware Offloading in Mobile Edge
To investigate the trade-off between energy consumption and latency, we present an energy-aware offloading scheme, which jointly optimizes commu-nication and computation resource allocation
Edge AI for Internet of Energy: Challenges and Perspectives
Moreover, edge computing has been recently recognized as a high-potential technology owing to its benefits in delivering low-latency computing services for energy mobile consumer devices and IoT
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