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Haotong Zhang
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Fang Shi
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Wangbo Shen
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Keqin Li
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Albert Y. Zomaya
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Container Scheduling Strategy Based on Image Layer Reuse and Sequential Arrangement in Mobile Edge Computing.
IEEE Transactions on Mobile Computing
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Weiwei Lin
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Haotong Zhang
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Jianpeng Lin
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Shaoliang Peng
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Keqin Li
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Public Datasets for Cloud Computing: A Comprehensive Survey.
ACM Computing Surveys
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Jianpeng Lin
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Power Management Optimization for Data Centers: A Power Supply Perspective.
IEEE Transactions on Sustainable Computing
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MSCNet: Multi-Scale Network with Convolutions for Long-term Cloud Workload Prediction.
IEEE Transactions on Services Computing
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SynFlowFL: A Dynamic Synaptic Flow Framework for Efficient, Personalized Federated Learning.
IEEE Transactions on Emerging Topics in Computational Intelligence
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TFEGRU: Time-Frequency Enhanced Gated Recurrent Unit With Attention for Cloud Workload Prediction.
IEEE Transactions on Services Computing
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Prediction of Heterogeneous Device Task Runtime Based on Edge Server-Oriented Deep Neuro-Fuzzy System.
IEEE Transactions on Services Computing
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Adaptive Incremental Broad Learning System Based on Interval Type-2 Fuzzy Set with Automatic Determination of Hyperparameters.
IEEE Transactions on Fuzzy Systems
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K-Core Structure Feature Encoding-Based Enhanced Federated Graph Learning Framework.
IEEE Transactions on Emerging Topics in Computational Intelligence
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Bo Liu,
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EarlyBirdFL: Leveraging Early Bird Ticket Networks for Enhanced Personalized Learning.
IEEE Transactions on Emerging Topics in Computational Intelligence
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PETformer: Long-Term Time Series Forecasting via Placeholder-Enhanced Transformer.
IEEE Transactions on Emerging Topics in Computational Intelligence
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Keqin Li
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Albert Y. Zomaya
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The Analysis and Optimization of Volatile Clients in Over-the-Air Federated Learning.
IEEE Transactions on Mobile Computing
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Reliable Task Offloading in Sustainable Edge Computing with Imperfect Channel State Information.
IEEE Transactions on Network and Service Management
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CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns.
Advances in Neural Information Processing Systems (NeurIPS 2024)
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End-Edge-Cloud Heterogeneous Resources Scheduling Method Based on RNN and Particle Swarm Optimization.
IEEE Transactions on Network and Service Management
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Multi-objective cooling control optimization for air-liquid cooled data centers using TCN-BiGRU-Attention-based thermal prediction models.
Building Simulation
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SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters.
Proceedings of the 41st International Conference on Machine Learning (ICML2024 Oral)
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A systematic review of green-aware management techniques for sustainable data center.
Sustainable Computing: Informatics and Systems
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Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems.
Internet of Things
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FS-DBoost: cross-server energy efficiency and performance prediction in cloud based on transfer regression.
Cluster Computing
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Attention-based CNN–LSTM for high-frequency multiple cryptocurrency trend prediction.
Expert Systems with Applications
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HybridAD: A Hybrid Model-Driven Anomaly Detection Approach for Multivariate Time Series.
IEEE Transactions on Emerging Topics in Computational Intelligence
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Thermal Modeling and Thermal-aware Energy Saving Methods for Cloud Data Centers: A Review.
IEEE Transactions on Sustainable Computing
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Cluster Computing
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An Energy-Efficient Tuning Method for Cloud Servers Combining DVFS and Parameter Optimization.
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FedProf: Selective Federated Learning based on Distributional Representation Profiling.
IEEE Transactions on Parallel and Distributed Systems
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Generic User Behavior: A User Behavior Similarity-Based Recommendation Method.
Big Data
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Performance Interference of Virtual Machines: A Survey.
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Evolving Deep Multiple Kernel Learning Networks through Genetic Algorithms.
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Cluster Computing
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Thermal prediction for Air-cooled data center using data Driven-based model.
Applied Thermal Engineering
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Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply.
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An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing.
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A Power Consumption Model for Cloud Servers Based on Elman Neural Network.
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SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead.
IEEE Transactions on Computers
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A survey of energy-saving technologies in cloud data centers.
The Journal of Supercomputing, 2021, 1-36
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An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee.
IEEE Transactions on Parallel and Distributed Systems
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Accelerating Federated Learning over Reliability-Agnostic Clients in Mobile Edge Computing Systems.
IEEE Transactions on Parallel and Distributed Systems
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A Hardware-aware CPU Power Measurement Based on the Power-exponent Function Model for Cloud Servers.
Information Sciences
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A Reinforcement Learning-based Mixed Job Scheduler Scheme for Grid or IaaS Cloud.
IEEE Transactions on Cloud Computing
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An Artificial Neural Network Approach to Power Consumption Model Construction for Servers in Cloud Data Centers.
IEEE Transactions on Sustainable Computing
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A Taxonomy and Survey of Power Models and Power Modeling for Cloud Servers.
ACM Computing Surveys
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An adaptive workload-aware power consumption measuring method for servers in cloud data centers.
Computing
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James Z.Wang
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A novel syntax-aware automatic graphics code generation with attention-based deep neural network.
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Scheduling Algorithms for Heterogeneous Cloud Environment: Main Resource Load Balancing Algorithm and Time Balancing Algorithm.
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Academic research trend analysis based on big data technology.
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A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing.
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Experimental and Quantitative Analysis of Server Power Model for Cloud Data Centers.
Future Generation Computer Systems, 2018,86:940-950.
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information sciences,
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soft computing
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华南理工大学学报(自然科学版), 2018, 46(3):127-133
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Sustainable Computing: Informatics and Systems, 2017,DOI:10.1016/j.suscom.2017.10.007
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An Intelligent Power Consumption Model for Virtual Machines under CPU-intensive workload in Cloud Environment .
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An Ensemble Random Forest Algorithm for Insurance Big Data Analysis.
IEEE Access,2017, 5(11):16568-16575
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面向云计算环境的能耗测量和管理方法.
软件学报,2016,27(4):1026-1041
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A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters.
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Novel Algorithms and Equivalence Optimization for Resource Allocation in Cloud Computing.
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Bandwidth-aware divisible task scheduling for cloud computing.
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非对称多核处理器上的操作系统集成调度.
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A Threshold-based Dynamic Resource Allocation Scheme for Cloud Computing.
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