1.2k citations · 1.2k across the 26 of their papers we have counts for
12 papers · 1 filter
LipCache: A Local Inference Proxy with Certified Caching for Edge Image Classification Service
Zhengzhe Xiang, Yinlin Chen, Fuli Ying +3
As edge-side vision services continue to expand toward low-latency, high-throughput scenarios, reducing the inference cost of vision models without sacrificing reliability has beco…
Scene-Aware Latency Estimation for Microservices via Multi-Scale Graph Fusion
Zhichao Sun, Hailiang Zhao, Kingsum Chow
Cloud-Native microservice architectures have become prevalent owing to their inherent flexibility and scalability properties. To satisfy service quality guarantees, cloud providers…
Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions
Hailiang Zhao, Xueyan Tang, Peng Chen +2
This paper addresses the data-locality-aware task assignment and scheduling problem for distributed job executions. Our goal is to minimize job completion times without prior knowl…
Decentralized Proactive Model Offloading and Resource Allocation for Split and Federated Learning
Binbin Huang, Hailiang Zhao, Lingbin Wang +3
In the resource-constrained IoT-edge computing environment, Split Federated (SplitFed) learning is implemented to enhance training efficiency. This method involves each terminal de…
Tail-Learning: Adaptive Learning Method for Mitigating Tail Latency in Autonomous Edge Systems
Cheng Zhang, Yinuo Deng, Hailiang Zhao +2
In the realm of edge computing, the increasing demand for high Quality of Service (QoS), particularly in dynamic multimedia streaming applications (e.g., Augmented Reality/Virtual…
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…
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…
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…
Service Capacity Enhanced Task Offloading and Resource Allocation in Multi-Server Edge Computing Environment
Wei Du, Tao Lei, Qiang He +4
An edge computing environment features multiple edge servers and multiple service clients. In this environment, mobile service providers can offload client-side computation tasks f…