activity
20192024
most citedEdge Intelligence: The Confluence of Edge Computing and Artificial Intelligence

1.2k citations · 1.2k across the 15 of their papers we have counts for

collaborators
Showing cs.DCShow all

9 papers · 1 filter

cs.DC2024

Next-Gen Computing Systems with Compute Express Link: a Comprehensive Survey

Chen Chen, Xinkui Zhao, Guanjie Cheng +3

Interconnection is crucial for computing systems. However, the current interconnection performance between processors and devices, such as memory devices and accelerators, signific…

cs.DC2023

A Heavy-Load-Enhanced and Changeable-Periodicity-Perceived Workload Prediction Network

Feiyi Chen, Naijin Liu, Zhen Qin +3

Cloud providers can greatly benefit from accurate workload prediction. However, the workload of cloud servers is highly variable, with occasional workload bursts, which makes workl…

cs.DC2023

Cloud-Native Computing: A Survey from the Perspective of Services

Shuiguang Deng, Hailiang Zhao, Binbin Huang +6

The development of cloud computing delivery models inspires the emergence of cloud-native computing. Cloud-native computing, as the most influential development principle for web a…

cs.DC2023

Scheduling Multi-Server Jobs with Sublinear Regrets via Online Learning

Hailiang Zhao, Shuiguang Deng, Zhengzhe Xiang +4

Multi-server jobs that request multiple computing resources and hold onto them during their execution dominate modern computing clusters. When allocating the multi-type resources t…

cs.DC2022★ 1 cited

The Confluence of Blockchain and 6G Network: Scenarios Analysis and Performance Assessment

Bo Li, Shuiguang Deng, Xueqiang Yan +1

Emerging advanced applications, such as smart cities, healthcare, and virtual reality, demand more challenging requirements on sixth-generation (6G) mobile networks, including the…

cs.DC2022

BlockDFL: A Blockchain-based Fully Decentralized Peer-to-Peer Federated Learning Framework

Zhen Qin, Xueqiang Yan, Mengchu Zhou +1

Federated learning (FL) enables collaborative training of machine learning models without sharing training data. Traditional FL heavily relies on a trusted centralized server. Alth…

cs.DC2022★ 1 cited

Learning to Schedule Multi-Server Jobs with Fluctuated Processing Speeds

Hailiang Zhao, Shuiguang Deng, Feiyi Chen +3

Multi-server jobs are imperative in modern cloud computing systems. A noteworthy feature of multi-server jobs is that, they usually request multiple computing devices simultaneousl…

cs.DC2021

Theoretically Guaranteed Online Workload Dispatching for Deadline-Aware Multi-Server Jobs

Hailiang Zhao, Shuiguang Deng, Jianwei Yin +2

Multi-server jobs are imperative in modern computing clusters. A multi-server job has multiple task components and each of the task components is responsible for processing a speci…

cs.DC2019★ 8 cited

Distributed Redundant Placement for Microservice-based Applications at the Edge

Hailiang Zhao, Shuiguang Deng, Zijie Liu +2

Multi-access Edge Computing (MEC) is booming as a promising paradigm to push the computation and communication resources from cloud to the network edge to provide services and to p…