1.2k citations · 1.2k across the 15 of their papers we have counts for
15 papers
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…
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…
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…
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…
MPInspector: A Systematic and Automatic Approach for Evaluating the Security of IoT Messaging Protocols
Qinying Wang, Shouling Ji, Yuan Tian +8
Facilitated by messaging protocols (MP), many home devices are connected to the Internet, bringing convenience and accessibility to customers. However, most deployed MPs on IoT pla…
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…
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…
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…
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…
Cyclic Arbitrage in Decentralized Exchanges
Ye Wang, Yan Chen, Haotian Wu +3
Decentralized Exchanges (DEXes) enable users to create markets for exchanging any pair of cryptocurrencies. The direct exchange rate of two tokens may not match the cross-exchange…
An Empirical Study of the Landscape of Open Source Projects in Baidu, Alibaba, and Tencent
Junxiao Han, Shuiguang Deng, David Lo +3
Open source software has drawn more and more attention from researchers, developers and companies nowadays. Meanwhile, many Chinese technology companies are embracing open source a…
Placement is not Enough: Embedding with Proactive Stream Mapping on the Heterogenous Edge
Hailiang Zhao, Shuiguang Deng, Zijie Liu +2
Edge computing is naturally suited to the applications generated by Internet of Things (IoT) nodes. The IoT applications generally take the form of directed acyclic graphs (DAGs),…
DPoS: Decentralized, Privacy-Preserving, and Low-Complexity Online Slicing for Multi-Tenant Networks
Hailiang Zhao, Shuiguang Deng, Zijie Liu +4
Network slicing is the key to enable virtualized resource sharing among vertical industries in the era of 5G communication. Efficient resource allocation is of vital importance to…
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…
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng, Hailiang Zhao, Weijia Fang +3
Along with the rapid developments in communication technologies and the surge in the use of mobile devices, a brand-new computation paradigm, Edge Computing, is surging in populari…