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An Efficient Lightweight Testbed for Networks Emulation

Journal of Convergence Information Technology, 2010
Testbed is a software system that provides an emulation function for researcher to configure and access networks composed of variety of nodes and links. Some well-known test-beds, such as Emulab, Deter, and Twtestbed, are large-scale, remotely-accessible distributed systems testbed, used by over a thousand researchers around the world.
Xun-Yi Ren   +3 more
openaire   +2 more sources

Lightweight Multitenancy at the Network’s Extreme Edge

Computer, 2017
Many Internet services require lower latency, greater responsiveness, and more efficient use of network bandwidth. As a result, researchers have espoused the need for edge computing, which distributes services closer to user devices. ParaDrop is an edge-computing platform that allows users and developers to deploy diverse services in homes and ...
Peng Liu 0041   +2 more
openaire   +2 more sources

BFNet: A Lightweight Barefootprint Recognition Network

2023
Yi Yang   +3 more
openaire   +2 more sources

Implementation of Intrusion Detection Model for DDoS Attacks in Lightweight IoT Networks

Expert Systems With Applications, 2023
Shahbaz Ahmad Khanday
exaly  

Lightweight Deep Neural Networks for Ship Target Detection in SAR Imagery

IEEE Transactions on Image Processing, 2023
Zongjie Cao, Ting Jiang, Zongyong Cui
exaly  

A Lightweight Segmentation Network Based on Extraction

2022
Chuanbo Qin   +3 more
openaire   +1 more source

Contextual Transformation Network for Lightweight Remote-Sensing Image Super-Resolution

IEEE Transactions on Geoscience and Remote Sensing, 2022
Shunzhou Wang, Tianfei Zhou, Huijun Di
exaly  

CEModule: A Computation Efficient Module for Lightweight Convolutional Neural Networks

IEEE Transactions on Neural Networks and Learning Systems, 2023
Maozhen Li, Guanjun Liu, Jiang Changjun
exaly  

Lightweight Network Learning With Zero-Shot Neural Architecture Search for UAV Images

Knowledge-Based Systems, 2023
Junyu Dong, Guoqiang Zhong, Shengke Wang
exaly  

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