Special issue on sustainable edge computing and
Keyw ords Artificial intelligence, sustainable AI, energy-efficient computing and communications, edge computing, carbon neutrality Suggest topics (but not

Keyw ords Artificial intelligence, sustainable AI, energy-efficient computing and communications, edge computing, carbon neutrality Suggest topics (but not
Abstract Edge computing brings several advantages, such as reduced latency, increased bandwidth, and improved locality of tra c. One aspect that is not su ciently understood is the impact of the di
As such, energy-efficient computing, or "green computing," has become a focal point for researchers seeking to deploy large-scale IoT networks. This study provides a comprehensive
The communication between users and edge servers has lower transmission latency and less energy consumption. In order to better exploit the features and promote the development of
The increasing complexity of conventional energy distribution systems, combined with the growing demand for efficient data processing, has
As more processing finds its way into sensor-enabled devices deployed to the edge, the energy cost of computing becomes a more urgent,
ise to an NP-hard problem of joint communication and edge computing resource management (RM). In this paper, we propose an algorithm that allows the satellites to select between computing t e tasks
In this work, we present MintEDGE, a network simulator focused on the energy consumption of edge computing. Our simulator allows testing energy
In order to achieve energy efficiency in edge computing, a systematic review on energy efficiency of edge devices, edge servers, and cloud data centers is required.
By categorizing edge computing applications, the findings provide a comprehensive reference for both researchers and industry professionals working on the development of next
In addition to "net-zero" goals, edge computing infrastructure being deployed by network operators faces unique challenges such as balancing latency, security, distributed management, and thermal
Various strategies, including workload optimization, resource allocation, virtualization technologies, and adaptive scaling methods, have been identified as techniques that are widely utilized by
This Recommendation describes considerations for improving the energy efficiency of micro data centres, which are essential items of equipment for edge computing services, and how to operate
An estimate says data centers, including edge sites, will soon use four times the energy all data centers used in 2018. Can it be true?
Edge computing brings several advantages, such as reduced latency, increased bandwidth, and improved locality of traffic. One aspect that is not sufficiently understood is to what
Edge computing is an emerging paradigm for the increasing computing and networking demands from end devices to smart things. Edge computing allows the computation to be offloaded
Our findings reveal that a fully distributed architecture, by eschewing intra-data center networks and large-scale cooling systems, exhibits a notable energy efficiency advantage, consuming between
Expert Panel: Edge computing helps the Energy Sector meet rising energy demand, boost resource use, and enable a more sustainable ecosystem.
Learn more about edge computing applications for the energy sector These use cases represent just a few examples of edge computing systems''
Energy consumption levels across networks and data centres are on the rise. Edge computing can be utilised to change the balance of energy usuage.
As we see exponential growth within edge data centers, owners and operators will need to be more effective in managing their portfolio of micro data
Network edge In a network edge, computing and storage resources are distributed across communication service provider (CSP) premises, between national, regional and local access sites.
A novel smart grid-powered communication system is presented to minimize energy costs for edge computing servers and their connected devices and reduce reliance
Discover practical approaches to optimize energy usage at edge computing sites to save money and help the environment.
Explore how Edge AI reduces energy consumption by processing data locally, enhancing efficiency in communication, computation, and sensing.
Die Deutsche Energie-Agentur (dena) hat heute eine Studie veröffentlicht, welche die Potenziale von Cloud- und Edge-Lösungen als
To succeed in optimizing Edge system energy usage, IT organizations are tasked with identifying the data they need to measure Across
These strategies collectively minimize resource waste, enabling the streamlined management of networking and data resources in a multi-cluster communication system. This paper
Oil and gas companies and utilities are using edge computing to improve the health and safety of their workers, increase operational efficiency, incorporate renewable energy into their
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