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Yang Bai, Xiaocui Li, Xinfan Wu and Zhangbing Zhou
With the booming proliferation of user requests in the Internet of Things (IoT) network, Edge Computing (EC) is emerging as a promising paradigm for the provision of flexible and reliable services. Considering the resource constraints of IoT devices, for...
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Chi Gao, Xiaofei Xu, Zhizou Yang, Liwei Lin and Jian Li
In recent decades, memory-intensive applications have experienced a boom, e.g., machine learning, natural language processing (NLP), and big data analytics. Such applications often experience out-of-memory (OOM) errors, which cause unexpected processes t...
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Guillaume Devic, Gilles Sassatelli and Abdoulaye Gamatié
The execution of machine learning (ML) algorithms on resource-constrained embedded systems is very challenging in edge computing. To address this issue, ML accelerators are among the most efficient solutions. They are the result of aggressive architectur...
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Ziyad R. Alashhab, Mohammed Anbar, Manmeet Mahinderjit Singh, Iznan H. Hasbullah, Prateek Jain and Taief Alaa Al-Amiedy
Cloud computing (CC) plays a significant role in revolutionizing the information and communication technology (ICT) industry, allowing flexible delivery of new services and computing resources at a fraction of the costs for end-users than traditional com...
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Xiaosong Yu, Jiye Wang, Kaixin Zhang, Jiaqi Lv, Yongli Zhao, Kaiqiang Gao, Xuerang Guo and Jie Zhang
With the development of optical networks technology, broad attention has been paid to flexible grid technology in optical networks due to its ability to carry large-capacity information as well as provide flexible and fine-grained services through on-dem...
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