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- research-articleAugust 2024JUST ACCEPTED
Model Pruning-enabled Federated Split Learning for Resource-constrained Devices in Artificial Intelligence Empowered Edge Computing Environment
Distributed Collaborative Machine Learning (DCML) has emerged in artificial intelligence-empowered edge computing environments, such as the Industrial Internet of Things (IIoT), to process tremendous data generated by smart devices. However, parallel DCML ...
- research-articleAugust 2024
μMon: Empowering Microsecond-level Network Monitoring with Wavelets
ACM SIGCOMM '24: Proceedings of the ACM SIGCOMM 2024 ConferenceAugust 2024, Pages 274–290https://doi.org/10.1145/3651890.3672236Network monitoring is essential for network management and optimization. In modern data centers, fluctuations in flow rates and network congestion events (e.g., microbursts) typically manifest on a microsecond timescale. However, the time granularity of ...
- research-articleJuly 2024
CMCLRec: Cross-modal Contrastive Learning for User Cold-start Sequential Recommendation
SIGIR '24: Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information RetrievalJuly 2024, Pages 1589–1598https://doi.org/10.1145/3626772.3657839Sequential recommendation models generate embeddings for items through the analysis of historical user-item interactions and utilize the acquired embeddings to predict user preferences. Despite being effective in revealing personalized preferences for ...
- short-paperMay 2024
GraphSAGE-based POI Recommendation via Continuous-Time Modeling
WWW '24: Companion Proceedings of the ACM on Web Conference 2024May 2024, Pages 585–588https://doi.org/10.1145/3589335.3651515With the proliferation of Location-based Social Networks (LBSNs), user check-in data at Points-of-Interest (POIs) has surged, reshaping user-environment interaction. However, POI recommendation remains a challenging task for two primary reasons. First, ...
- research-articleApril 2024
Unison: A Parallel-Efficient and User-Transparent Network Simulation Kernel
- Songyuan Bai,
- Hao Zheng,
- Chen Tian,
- Xiaoliang Wang,
- Chang Liu,
- Xin Jin,
- Fu Xiao,
- Qiao Xiang,
- Wanchun Dou,
- Guihai Chen
EuroSys '24: Proceedings of the Nineteenth European Conference on Computer SystemsApril 2024, Pages 115–131https://doi.org/10.1145/3627703.3629574Discrete-event simulation (DES) is a prevalent tool for evaluating network designs. Although DES offers full fidelity and generality, its slow performance limits its application. To speed up DES, many network simulators employ parallel discrete-event ...
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- research-articleMarch 2024
Accurate and fast congestion feedback in MEC-enabled RDMA datacenters
Journal of Cloud Computing: Advances, Systems and Applications (JOCCASA), Volume 13, Issue 1Mar 2024https://doi.org/10.1186/s13677-024-00642-8AbstractMobile edge computing (MEC) is a novel computing paradigm that pushes computation and storage resources to the edge of the network. The interconnection of edge servers forms small-scale data centers, enabling MEC to provide low-latency network ...
- research-articleMarch 2024
Edge intelligence empowered delivery route planning for handling changes in uncertain supply chain environment
Journal of Cloud Computing: Advances, Systems and Applications (JOCCASA), Volume 13, Issue 1Mar 2024https://doi.org/10.1186/s13677-024-00613-zAbstractTraditional delivery route planning faces challenges in reducing logistics costs and improving customer satisfaction with growing customer demand and complex road traffic, especially in uncertain supply chain environment. To address these ...
- research-articleMarch 2024JUST ACCEPTED
- research-articleOctober 2023
SMEF: Social-aware Multi-dimensional Edge Features-based Graph Representation Learning for Recommendation
CIKM '23: Proceedings of the 32nd ACM International Conference on Information and Knowledge ManagementOctober 2023, Pages 1566–1575https://doi.org/10.1145/3583780.3615063Exploring user-item interaction cues is crucial for the performance of recommender systems. Explicit investigation of interaction cues is made possible by using graph-based models, where each user-item relationship is described by an edge, and the ...
- ArticleJanuary 2024
Energy-Efficient Task Offloading in UAV-Enabled MEC via Multi-agent Reinforcement Learning
Green, Pervasive, and Cloud ComputingSep 2023, Pages 63–80https://doi.org/10.1007/978-981-99-9896-8_5AbstractNowadays, artificial intelligence-based tasks are imposing increasing demands on computation resources and energy consumption. Unmanned aerial vehicles (UAVs) are widely utilized in mobile edge computing (MEC) due to maneuverability and ...
- research-articleSeptember 2023
Regional IP Anycast: Deployments, Performance, and Potentials
ACM SIGCOMM '23: Proceedings of the ACM SIGCOMM 2023 ConferenceSeptember 2023, Pages 917–931https://doi.org/10.1145/3603269.3604846Recent studies show that an end system's traffic may reach a distant anycast site within a global IP anycast system, resulting in high latency. To address this issue, some private and public CDNs have implemented regional IP anycast, a technique that ...
- research-articleAugust 2023
OptIForest: optimal isolation forest for anomaly detection
IJCAI '23: Proceedings of the Thirty-Second International Joint Conference on Artificial IntelligenceAugust 2023, Article No.: 264, Pages 2379–2387https://doi.org/10.24963/ijcai.2023/264Anomaly detection plays an increasingly important role in various fields for critical tasks such as intrusion detection in cybersecurity, financial risk detection, and human health monitoring. A variety of anomaly detection methods have been proposed, and ...
- research-articleAugust 2023
CNN Partitioning and Offloading for Vehicular Edge Networks in Web3
IEEE Communications Magazine (COMAG), Volume 61, Issue 8August 2023, Pages 36–42https://doi.org/10.1109/MCOM.002.2200424Web3, an emerging blockchain-based decentralized network, grants users ownership and enhances the collaboration among devices under monitoring. Benefiting from decentralization and in-memory computing, vehicular edge networks can process tasks such as ...
- posterSeptember 2023
An Efficient Approach for (Multi-)CDN Identification
ACM TURC '23: Proceedings of the ACM Turing Award Celebration Conference - China 2023July 2023, Pages 156–157https://doi.org/10.1145/3603165.3607455As the use of Content Delivery Networks (CDNs) continues to grow, it has become increasingly difficult to accurately identify which CDNs are being used by a particular website or domain. In this paper, we propose a new method for detecting CDNs, ...
- research-articleJuly 2023
A game theory-based COVID-19 close contact detecting method with edge computing collaboration
Computer Communications (COMS), Volume 207, Issue CJul 2023, Pages 36–45https://doi.org/10.1016/j.comcom.2023.04.029AbstractPeople all throughout the world have suffered from the COVID-19 pandemic. People can be infected after brief contact, so how to assess the risk of infection for everyone effectively is a tricky challenge. In view of this challenge, the ...
- posterSeptember 2023
Dilemma of Proactive Congestion Control Protocols
APNet '23: Proceedings of the 7th Asia-Pacific Workshop on NetworkingJune 2023, Pages 176–177https://doi.org/10.1145/3600061.3603123Reactive congestion control (RCC) protocols have undergone decades of evolution, where senders first send data packets and then back off when congestion occurs. Recently, there has been a surge of interest in proactive congestion control (PCC) that ...
- research-articleJune 2023
Placing Wireless Chargers With Limited Mobility
IEEE Transactions on Mobile Computing (ITMV), Volume 22, Issue 6June 2023, Pages 3589–3603https://doi.org/10.1109/TMC.2021.3136967Several recent works have studied mobile charging under the “one-to-many” charging pattern where a single charger can charge multiple devices simultaneously. However, most of them focus on path planning and charging time allocation, but ...
- research-articleJune 2023
A Correlation Graph Based Approach for Personalized and Compatible Web APIs Recommendation in Mobile APP Development
IEEE Transactions on Knowledge and Data Engineering (IEEECS_TKDE), Volume 35, Issue 6June 2023, Pages 5444–5457https://doi.org/10.1109/TKDE.2022.3168611Using Web APIs registered in service sharing communities for mobile APP development can not only reduce development period and cost, but also fully reuse state-of-the-art research outcomes in broad domain so as to ensure up-to-date APP development and ...
- research-articleMarch 2023
An adaptive DNN inference acceleration framework with end–edge–cloud collaborative computing
Future Generation Computer Systems (FGCS), Volume 140, Issue CMar 2023, Pages 422–435https://doi.org/10.1016/j.future.2022.10.033AbstractDeep Neural Networks (DNNs) based on intelligent applications have been intensively deployed on mobile devices. Unfortunately, resource-constrained mobile devices cannot meet stringent latency requirements due to a large amount of ...
Highlights- An adaptive DNN inference acceleration framework is proposed to reduce DNN inference latency in the end–edge–cloud computing environment.
- research-articleJanuary 2023
Adversarial Attacks on Large Language Model-Based System and Mitigating Strategies: A Case Study on ChatGPT
Machine learning algorithms are at the forefront of the development of advanced information systems. The rapid progress in machine learning technology has enabled cutting-edge large language models (LLMs), represented by GPT-3 and ChatGPT, to ...