Demo Data from EDBT 2026 / reviewers in the wild / expert
Huijiang Pan
dblp:282/2697
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Edge and fog computing › mobile edge computing
computation offloading |
0.8 | 1 | 2024 | 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 |
0.8 | 1 | 2024 | In-Network Computing Empowered Mobile Edge Offloading Architecture for Internet of Things · IEEE Trans. Serv. Comput. 2024 |
Edge and fog computing
mobile edge computing |
0.8 | 1 | 2024 | 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 |
0.8 | 1 | 2024 | 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 |
0.2 | 1 | 2024 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | In-Network Computing Empowered Mobile Edge Offloading Architecture for Internet of ThingsabstractIn 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 |