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- research-articleJune 2024
Joint Participant and Learning Topology Selection for Federated Learning in Edge Clouds
IEEE Transactions on Parallel and Distributed Systems (TPDS), Volume 35, Issue 8Aug. 2024, Pages 1456–1468https://doi.org/10.1109/TPDS.2024.3413751Deploying federated learning (FL) in edge clouds poses challenges, especially when multiple models are concurrently trained in resource-constrained edge environments. Existing research on federated edge learning has predominantly focused on client ...
- ArticleMay 2024
Enhanced HMM Map Matching Model Based on Multiple Type Trajectories
Advances in Knowledge Discovery and Data MiningMay 2024, Pages 350–362https://doi.org/10.1007/978-981-97-2262-4_28AbstractMap matching (MM) aims to align GPS trajectory with the actual roads on a map that vehicles pass through, essential for applications like trajectory search and route planning. The Hidden Markov Model (HMM) is commonly employed for online MM due to ...
- ArticleMay 2024
FMSYS: Fine-Grained Passenger Flow Monitoring in a Large-Scale Metro System Based on AFC Smart Card Data
Advances in Knowledge Discovery and Data MiningMay 2024, Pages 336–349https://doi.org/10.1007/978-981-97-2262-4_27AbstractIn this paper, we investigate the real-time fine-grained passenger flows in a complex metro system. Our primary focus is on addressing crucial questions, such as determining the number of passengers on a moving train and in specific station areas (...
- ArticleMay 2024
GSPM: An Early Detection Approach to Sudden Abnormal Large Outflow in a Metro System
Advances in Knowledge Discovery and Data MiningMay 2024, Pages 322–335https://doi.org/10.1007/978-981-97-2262-4_26AbstractEarly detection of Sudden Abnormal Large Outflow (SALO) aims to determine abnormal large outflows and locate the station where real-time outflow significantly exceeds expectations. SALO serves as a crucial indicator for city administration to ...
- ArticleMay 2024
MPRG: A Method for Parallel Road Generation Based on Trajectories of Multiple Types of Vehicles
Advances in Knowledge Discovery and Data MiningMay 2024, Pages 309–321https://doi.org/10.1007/978-981-97-2262-4_25AbstractAccurate and up-to-date digital road maps are the foundation of many applications, such as navigation and autonomous driving. Recently, the ubiquity of GPS devices in vehicular systems has led to an unprecedented amount of vehicle sensing data for ...
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- research-articleFebruary 2024
Optimizing Resource Management for Shared Microservices: A Scalable System Design
ACM Transactions on Computer Systems (TOCS), Volume 42, Issue 1-2Article No.: 1, Pages 1–28https://doi.org/10.1145/3631607A common approach to improving resource utilization in data centers is to adaptively provision resources based on the actual workload. One fundamental challenge of doing this in microservice management frameworks, however, is that different components of ...
- ArticleJanuary 2024
DigitalPlantMan: A Multi Process Manufacturing Task Management System for Digital Plant
AbstractIn recent years, with the rapid development of the new generation of information technology and the acceleration of economic globalization, all industries and enterprises are facing the urgent need of digital transformation. The implementation of ...
- ArticleNovember 2023
ChainsFormer: A Chain Latency-Aware Resource Provisioning Approach for Microservices Cluster
AbstractThe trend towards transitioning from monolithic applications to microservices has been widely embraced in modern distributed systems and applications. This shift has resulted in the creation of lightweight, fine-grained, and self-contained ...
- research-articleNovember 2023
Interference-aware Multiplexing for Deep Learning in GPU Clusters: A Middleware Approach
SC '23: Proceedings of the International Conference for High Performance Computing, Networking, Storage and AnalysisNovember 2023, Article No.: 30, Pages 1–15https://doi.org/10.1145/3581784.3607060A common strategy for improving efficiency in training deep learning entails multiplexing tasks on a single GPU. To mitigate the interference caused by multiplexing, existing approaches primarily employ kernel-level solutions to regulate GPU kernel ...
- ArticleSeptember 2023
A Semi-supervised Learning Based Method for Identifying Idle Virtual Machines in Managed Cloud: Application and Practice
AbstractDue to unreasonable virtual machine (VM) resource planning and complex load variation, the waste of VM resource has become a significant issue for many enterprises. Although existing technical solutions have proven to have certain ability to ...
- ArticleSeptember 2023
YOLO-IMF: An Improved YOLOv8 Algorithm for Surface Defect Detection in Industrial Manufacturing Field
AbstractSurface quality is an effective metric to evaluate the quality of industrial products. The traditional automatic detection methods such as eddy current detection method, infrared detection method and magnetic flux leakage method are limited to ...
- ArticleSeptember 2023
CEESys: A Cloud-Edge-End System for Data Acquisition, Transmission and Processing Based on HiSilicon and OpenHarmony
AbstractIn a typical industry environment, temperature, humidity and light intensity are the key environmental parameters. Cloud-Edge-End architecture is perfect to process IoT data. However, the existing solutions are usually developed for particular ...
- ArticleSeptember 2023
A Survey on Cross-Domain Few-Shot Image Classification
AbstractDue to the limited availability of labelled data in many real-world scenarios, we have to resort to data from other domains to improve models’ performance, which prompts the advancement of research regarding the cross-domain few-shot image ...
Detecting Vulnerabilities in Linux-Based Embedded Firmware with SSE-Based On-Demand Alias Analysis
ISSTA 2023: Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and AnalysisJuly 2023, Pages 360–372https://doi.org/10.1145/3597926.3598062Although the importance of using static taint analysis to detect taint-style vulnerabilities in Linux-based embedded firmware is widely recognized, existing approaches are plagued by following major limitations: (a) Existing works cannot properly ...
- research-articleMay 2023
Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms
EuroSys '23: Proceedings of the Eighteenth European Conference on Computer SystemsMay 2023, Pages 416–432https://doi.org/10.1145/3552326.3587437To fully utilize computing resources, cloud providers such as Google and Alibaba choose to co-locate online services with batch processing applications in their data centers. By implementing unified resource management policies, different types of ...
- research-articleDecember 2022
Erms: Efficient Resource Management for Shared Microservices with SLA Guarantees
ASPLOS 2023: Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 1March 2023, Pages 62–77https://doi.org/10.1145/3567955.3567964A common approach to improving resource utilization in data centers is to adaptively provision resources based on the actual workload. One fundamental challenge of doing this in microservice management frameworks, however, is that different components ...
- ArticleDecember 2022
Improving Few-Shot Image Classification with Self-supervised Learning
AbstractFew-Shot Image Classification (FSIC) aims to learn an image classifier with only a few training samples. The key challenge of few-shot image classification is to learn this classifier with scarce labeled data. To tackle the issue, we leverage the ...
- ArticleDecember 2022
Optimizing Cache Accesses with Tensor Memory Format Search for Transformers in TVM
AbstractTransformer-based models have achieved great success in natural language processing and computer vision applications. These models, however, often comprise a large number of parameters. Furthermore, tend to be computationally intensive. This ...