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Huijiang Pan

dblp:282/2697 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Edge and fog computing · 46% Software-defined and programmable networks · 46% Internet of things and sensor networks · 7%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Edge and fog computing › mobile edge computing
computation offloading
0.812024
In-Network Computing Empowered Mobile Edge Offloading Architecture for Internet of Things · IEEE Trans. Serv. Comput. 2024
Software-defined and programmable networks › programmable data plane
in-network computation
0.812024
In-Network Computing Empowered Mobile Edge Offloading Architecture for Internet of Things · IEEE Trans. Serv. Comput. 2024
Edge and fog computing
mobile edge computing
0.812024
In-Network Computing Empowered Mobile Edge Offloading Architecture for Internet of Things · IEEE Trans. Serv. Comput. 2024
Software-defined and programmable networks
programmable data plane
0.812024
In-Network Computing Empowered Mobile Edge Offloading Architecture for Internet of Things · IEEE Trans. Serv. Comput. 2024
Internet of things and sensor networks
iot applications
0.212024
In-Network Computing Empowered Mobile Edge Offloading Architecture for Internet of Things · IEEE Trans. Serv. Comput. 2024

Methods — techniques the papers use, named apart from their topics

programmable switch · 0.8network-based computing · 0.8SmartNIC · 0.8
YearPublicationVenuePosition
2024 In-Network Computing Empowered Mobile Edge Offloading Architecture for Internet of Things
abstract
In recent years, the rapid growth of Internet of Things (IoT) devices and applications has posed significant challenges for existing Mobile Edge Computing (MEC) architectures. The inherent latency uncertainties in MEC architectures make it difficult to support latency-sensitive applications such as autonomous vehicles. Additionally, the increasing number of connected devices has led to substantial challenges in terms of limited throughput for MEC servers. With the recent advancements in programmable network hardware, such as SmartNICs and programmable switches, the Network-based Computing (NBC) paradigm has gained widespread attention. Leveraging line-rate processing capabilities, NBC offers a promising solution for high throughput and low latency processing. This paper aims to explore the potential benefits and challenges of incorporating NBC into existing MEC architectures. The feasibility of our proposed architecture is evaluated using two use cases, Linear Quadratic Regulator (LQR) control and Complex Event Processing (CEP), demonstrating significant improvements in latency performance.
Di Wu 0001, Zunliang Wang, Huijiang Pan, Haipeng Yao, Tianle Mai, Song Guo 0001
IEEE Trans. Serv. Comput.3