Submission Deadline: 30 April 2024 (closed) Submit to Special Issue
Lightweight methods and resource-efficient computing are emerging topics that have attracted increasing attention. Lightweight methods aim to simplify or optimize the design and implementation of algorithms, models or architectures. In terms of resource consumption problems, resource-efficient computing leverages the available resources in a distributed system to support computationally intensive tasks.
It is well-known that lightweight computing and resource-efficient computing are promising methods for many challenges in the fields of big data, Internet of Things and artificial intelligence. Further research is supposed to concentrate on resource management, data operation and other issues, by applying data compression, feature dimensionality reduction, lightweight encryption, to boost computing efficiency, save energy and cut down the computing cost of various applications, especially for resource-constrained devices. At the same time, hardware assistance and software development deserve attention, to accommodate different application scenarios and satisfy the QoS requirements of data services. In addition, investigating the innovation and optimization of lightweight analysis methods, lightweight information exchange methods, energy-efficient computing and green software, cybersecurity and privacy can enhance the performance and reliability of lightweight computing, and provide better data support and services for the future intelligent society to some extent.
This special issue aims to explore various research topics, share and exchange the latest advances and future visions of experts and scholars in these relevant fields, and foster further research on energy-efficient, green, sustainable hardware and software development as well as advanced algorithms, technologies, architectures, mechanisms and applications. We also hope to facilitate cross-disciplinary discussions and discover new opportunities, offering readers a comprehensive and in-depth perspective, and inspiring more innovation and collaboration. Topics of interest include, but are not limited to:
· Data compression and indexing
· Energy-efficient computing and green software
· Feature dimensionality reduction
· Hardware assisted/accelerated solutions
· Lightweight analysis methods
· Lightweight cryptography, cybersecurity and privacy
· Lightweight information delivery/exchange methods
· Resource management in IoT, fog, edge, and cloud computing
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