Weiwei Lin

According to our database, Weiwei Lin authored at least 130 papers between 2006 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Benchmarking and revisiting time series forecasting methods in cloud workload prediction.

Shengsheng Lin, Weiwei Lin, Feiyu Zhao, Haojun Chen

Clust. Comput., February, 2025

2024

The Analysis and Optimization of Volatile Clients in Over-the-Air Federated Learning.

Fang Shi, Weiwei Lin, Xiumin Wang, Keqin Li, Albert Y. Zomaya

IEEE Trans. Mob. Comput., December, 2024

FS-DBoost: cross-server energy efficiency and performance prediction in cloud based on transfer regression.

Guokai Wu, Huabin Wang, Weiwei Lin, Ruichao Mo, Xiaoxuan Luo

Clust. Comput., September, 2024

Generation of high-order random key matrix for Hill Cipher encryption using the modular multiplicative inverse of triangular matrices.

Yuehong Chen, Rong Xie, Haotong Zhang, Dongdong Li, Weiwei Lin

Wirel. Networks, August, 2024

Energy-aware parameter tuning for mixed workloads in cloud server.

Jiechao Liang, Weiwei Lin, Yangguang Xu, Yubin Liu, Ruichao Mo, Xiaoxuan Luo

Clust. Comput., July, 2024

Time-Sensitive Federated Learning With Heterogeneous Training Intensity: A Deep Reinforcement Learning Approach.

Weijian Pan, Xiumin Wang, Pan Zhou, Weiwei Lin

IEEE Trans. Emerg. Top. Comput. Intell., April, 2024

Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems.

Shengsheng Lin, Weiwei Lin, Keyi Wu, Songbo Wang, Minxian Xu, James Z. Wang

Internet Things, April, 2024

Attention-based CNN-LSTM for high-frequency multiple cryptocurrency trend prediction.

Peng Peng, Yuehong Chen, Weiwei Lin, James Z. Wang

Expert Syst. Appl., March, 2024

HybridAD: A Hybrid Model-Driven Anomaly Detection Approach for Multivariate Time Series.

Weiwei Lin, Songbo Wang, Wentai Wu, Dongdong Li, Albert Y. Zomaya

IEEE Trans. Emerg. Top. Comput. Intell., February, 2024

Thermal Modeling and Thermal-Aware Energy Saving Methods for Cloud Data Centers: A Review.

Jianpeng Lin, Weiwei Lin, Huikang Huang, Wenjun Lin, Keqin Li

IEEE Trans. Sustain. Comput., 2024

A systematic review of green-aware management techniques for sustainable data center.

Weiwei Lin, Jianpeng Lin, Zhiping Peng, Huikang Huang, Wenjun Lin, Keqin Li

Sustain. Comput. Informatics Syst., 2024

A multi-agent reinforcement learning-based method for server energy efficiency optimization combining DVFS and dynamic fan control.

Wenjun Lin, Weiwei Lin, Jianpeng Lin, Haocheng Zhong, Jiangtao Wang, Ligang He

Sustain. Comput. Informatics Syst., 2024

An optimal container update method for edge-cloud collaboration.

Haotong Zhang, Weiwei Lin, Rong Xie, Shenghai Li, Zhiyan Dai, James Z. Wang

Softw. Pract. Exp., 2024

Energy-aware virtual machine placement based on a holistic thermal model for cloud data centers.

Jianpeng Lin, Weiwei Lin, Wentai Wu, Wenjun Lin, Keqin Li

Future Gener. Comput. Syst., 2024

A survey on computation offloading in edge systems: From the perspective of deep reinforcement learning approaches.

Peng Peng, Weiwei Lin, Wentai Wu, Haotong Zhang, Shaoliang Peng, Qingbo Wu, Keqin Li

Comput. Sci. Rev., 2024

CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns.

Shengsheng Lin, Weiwei Lin, Xinyi Hu, Wentai Wu, Ruichao Mo, Haocheng Zhong

CoRR, 2024

SparseTSF: Modeling Long-term Time Series Forecasting with *1k* Parameters.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Haojun Chen, Junjie Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A resource scheduling method for cloud data centers based on thermal management.

Li Mao, Rui Chen, Huiwen Cheng, Weiwei Lin, Bo Liu, James Z. Wang

J. Cloud Comput., December, 2023

Performance Interference of Virtual Machines: A Survey.

Weiwei Lin, Chennian Xiong, Wentai Wu, Fang Shi, Keqin Li, Minxian Xu

ACM Comput. Surv., December, 2023

Publisher Correction to: Thermal‑aware virtual machine placement based on multi‑objective optimization.

Bo Liu, Rui Chen, Weiwei Lin, Wentai Wu, Jianpeng Lin, Keqin Li

J. Supercomput., October, 2023

Efficient Client Selection Based on Contextual Combinatorial Multi-Arm Bandits.

Fang Shi, Weiwei Lin, Lisheng Fan, Xiazhi Lai, Xiumin Wang

IEEE Trans. Wirel. Commun., August, 2023

Power and thermal-aware virtual machine scheduling optimization in cloud data center.

Rui Chen, Bo Liu, Weiwei Lin, Jianpeng Lin, Huiwen Cheng, Keqin Li

Future Gener. Comput. Syst., August, 2023

A package-aware scheduling strategy for edge serverless functions based on multi-stage optimization.

Senjiong Zheng, Bo Liu, Weiwei Lin, Xiaoying Ye, Keqin Li

Future Gener. Comput. Syst., July, 2023

FedProf: Selective Federated Learning Based on Distributional Representation Profiling.

Wentai Wu, Ligang He, Weiwei Lin, Carsten Maple

IEEE Trans. Parallel Distributed Syst., June, 2023

MCCP: Multi-Collaboration Channel Pruning for Model Compression.

Yuanchao Yan, Bo Liu, Weiwei Lin, Yuping Chen, Keqin Li, Jiangtao Ou, Chengyuan Fan

Neural Process. Lett., June, 2023

A novel approach for CPU load prediction of cloud server combining denoising and error correction.

Shingchern D. You, Weiwei Lin, Fang Shi, Jianzhuo Li, De Yu Qi, Simon Fong

Computing, March, 2023

An adaptive workload-aware power consumption measuring method for servers in cloud data centers.

Weiwei Lin, Yufeng Zhang, Wentai Wu, Simon Fong, Ligang He, Jia Chang

Computing, March, 2023

Fusion of Global and Local Knowledge for Personalized Federated Learning.

Tiansheng Huang, Li Shen, Yan Sun, Weiwei Lin, Dacheng Tao

Trans. Mach. Learn. Res., 2023

Thermal-aware virtual machine placement based on multi-objective optimization.

Bo Liu, Rui Chen, Weiwei Lin, Wentai Wu, Jianpeng Lin, Keqin Li

J. Supercomput., 2023

Evolving Deep Multiple Kernel Learning Networks Through Genetic Algorithms.

Wangbo Shen, Weiwei Lin, Yulei Wu, Fang Shi, Wentai Wu, Keqin Li

IEEE Trans. Ind. Informatics, 2023

An Energy-Efficient Tuning Method for Cloud Servers Combining DVFS and Parameter Optimization.

Weiwei Lin, Xiaoxuan Luo, ChunKi Li, Jiechao Liang, Guokai Wu, Keqin Li

IEEE Trans. Cloud Comput., 2023

An interpretable intuitionistic fuzzy inference model for stock prediction.

Weiming Wang, Weiwei Lin, Yiming Wen, Xiaozheng Lai, Peng Peng, Yi Zhang, Keqin Li

Expert Syst. Appl., 2023

SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Feiyu Zhao, Ruichao Mo, Haotong Zhang

CoRR, 2023

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced Transformer.

Shengsheng Lin, Weiwei Lin, Wentai Wu, Songbo Wang, Yongxiang Wang

CoRR, 2023

Budget-deadline constrained approach for scientific workflows scheduling in a cloud environment.

Naqin Zhou, Weiwei Lin, Wei Feng, Fang Shi, Xiongwen Pang

Clust. Comput., 2023

HCIndex: a Hilbert-Curve-based clustering index for efficient multi-dimensional queries for cloud storage systems.

Xinyang Wang, Yu Sun, Qiao Sun, Weiwei Lin, James Z. Wang, Wei Li

Clust. Comput., 2023

Deep-profiling: a deep neural network model for scholarly Web user profiling.

Weiwei Lin, Haojun Xu, Jianzhuo Li, Ziming Wu, Zhengyang Hu, Victor Chang, James Z. Wang

Clust. Comput., 2023

2022

An On-Line Virtual Machine Consolidation Strategy for Dual Improvement in Performance and Energy Conservation of Server Clusters in Cloud Data Centers.

Weiwei Lin, Wentai Wu, Ligang He

IEEE Trans. Serv. Comput., 2022

Energy-Efficient Computation Offloading for UAV-Assisted MEC: A Two-Stage Optimization Scheme.

Weiwei Lin, Tiansheng Huang, Xin Li, Fang Shi, Xiumin Wang, Ching-Hsien Hsu

ACM Trans. Internet Techn., 2022

Developing an Unsupervised Real-Time Anomaly Detection Scheme for Time Series With Multi-Seasonality.

Wentai Wu, Ligang He, Weiwei Lin, Yi Su, Yuhua Cui, Carsten Maple, Stephen A. Jarvis

IEEE Trans. Knowl. Data Eng., 2022

The g-extra diagnosability of the balanced hypercube under the PMC and MM* model.

Xinyang Wang, Lijuan Huang, Qiao Sun, Naqin Zhou, Yuehong Chen, Weiwei Lin, Keqin Li

J. Supercomput., 2022

Heterogeneous Semi-Asynchronous Federated Learning in Internet of Things: A Multi-Armed Bandit Approach.

Shuai Chen, Xiumin Wang, Pan Zhou, Weiwei Wu, Weiwei Lin, Zhenyu Wang

IEEE Trans. Emerg. Top. Comput. Intell., 2022

PDMA: Probabilistic service migration approach for delay-aware and mobility-aware mobile edge computing.

Minxian Xu, Qiheng Zhou, Huaming Wu, Weiwei Lin, Kejiang Ye, Chengzhong Xu

Softw. Pract. Exp., 2022

A GAN-based method for time-dependent cloud workload generation.

Weiwei Lin, Kun Yao, Lan Zeng, Fagui Liu, Chun Shan, Xiaobin Hong

J. Parallel Distributed Comput., 2022

Multi-scale residual denoising GAN model for producing super-resolution CTA images.

Pengcheng Li, Zhangyu Li, Xiongwen Pang, Hui Wang, Weiwei Lin, Wentai Wu

J. Ambient Intell. Humaniz. Comput., 2022

VFedCS: Optimizing Client Selection for Volatile Federated Learning.

Fang Shi, Chunchao Hu, Weiwei Lin, Lisheng Fan, Tiansheng Huang, Wentai Wu

IEEE Internet Things J., 2022

Stochastic Client Selection for Federated Learning With Volatile Clients.

Tiansheng Huang, Weiwei Lin, Li Shen, Keqin Li, Albert Y. Zomaya

IEEE Internet Things J., 2022

Adaptive Processor Frequency Adjustment for Mobile-Edge Computing With Intermittent Energy Supply.

Tiansheng Huang, Weiwei Lin, Xiaobin Hong, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya

IEEE Internet Things J., 2022

BenchSubset: A framework for selecting benchmark subsets based on consensus clustering.

Hongping Zhan, Weiwei Lin, Feiqiao Mao, Minxian Xu, Guangxin Wu, Guokai Wu, Jianzhuo Li

Int. J. Intell. Syst., 2022

Contribution-based Federated Learning client selection.

Weiwei Lin, Yinhai Xu, Bo Liu, Dongdong Li, Tiansheng Huang, Fang Shi

Int. J. Intell. Syst., 2022

A Novel Interpretable Stock Selection Algorithm for Quantitative Trading.

Zhengrui Li, Weiwei Lin, James Z. Wang, Peng Peng, Jianpeng Lin, Victor Chang, Jianghu Pan

Int. J. Grid High Perform. Comput., 2022

A multi-output prediction model for physical machine resource usage in cloud data centers.

Yongde Zhang, Fagui Liu, Bin Wang, Weiwei Lin, Guoxiang Zhong, Minxian Xu, Keqin Li

Future Gener. Comput. Syst., 2022

Achieving Personalized Federated Learning with Sparse Local Models.

Tiansheng Huang, Shiwei Liu, Li Shen, Fengxiang He, Weiwei Lin, Dacheng Tao

CoRR, 2022

Optimization of the Pedestrian and Vehicle Detection Model based on Cloud-Edge Collaboration.

Huabin Wang, Yuping Chen, Bo Liu, Ruichao Mo, Weiwei Lin

Proceedings of the IEEE Smartworld, 2022

2021

Accelerating Federated Learning Over Reliability-Agnostic Clients in Mobile Edge Computing Systems.

Wentai Wu, Ligang He, Weiwei Lin, Rui Mao

IEEE Trans. Parallel Distributed Syst., 2021

An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee.

Tiansheng Huang, Weiwei Lin, Wentai Wu, Ligang He, Keqin Li, Albert Y. Zomaya

IEEE Trans. Parallel Distributed Syst., 2021

Stable Task Assignment for Mobile Crowdsensing With Budget Constraint.

Chenxin Dai, Xiumin Wang, Kai Liu, Deyu Qi, Weiwei Lin, Pan Zhou

IEEE Trans. Mob. Comput., 2021

A survey of energy-saving technologies in cloud data centers.

Huiwen Cheng, Bo Liu, Weiwei Lin, Zehua Ma, Keqin Li, Ching-Hsien Hsu

J. Supercomput., 2021

An Ant Colony Optimization-Based Multiobjective Service Replicas Placement Strategy for Fog Computing.

Tiansheng Huang, Weiwei Lin, Chennian Xiong, Rui Pan, Jingxuan Huang

IEEE Trans. Cybern., 2021

A Power Consumption Model for Cloud Servers Based on Elman Neural Network.

Wentai Wu, Weiwei Lin, Ligang He, Guangxin Wu, Ching-Hsien Hsu

IEEE Trans. Cloud Comput., 2021

SAFA: A Semi-Asynchronous Protocol for Fast Federated Learning With Low Overhead.

Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Carsten Maple, Stephen A. Jarvis

IEEE Trans. Computers, 2021

A hardware-aware CPU power measurement based on the power-exponent function model for cloud servers.

Weiwei Lin, Tianhao Yu, Chongzhi Gao, Fagui Liu, Tengyue Li, Simon Fong, Yongxiang Wang

Inf. Sci., 2021

K-PSO: An improved PSO-based container scheduling algorithm for big data applications.

Bo Liu, Jiawei Li, Weiwei Lin, Weihua Bai, Pengfei Li, Qian Gao

Int. J. Netw. Manag., 2021

Energy-efficient VM scheduling based on deep reinforcement learning.

Bin Wang, Fagui Liu, Weiwei Lin

Future Gener. Comput. Syst., 2021

A Taxonomy and Survey of Power Models and Power Modeling for Cloud Servers.

Weiwei Lin, Fang Shi, Wentai Wu, Keqin Li, Guangxin Wu, Al-Alas Mohammed

ACM Comput. Surv., 2021

Variation-Incentive Loss Re-weighting for Regression Analysis on Biased Data.

Wentai Wu, Ligang He, Weiwei Lin

CoRR, 2021

Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply.

Tiansheng Huang, Weiwei Lin, Ying Li, Xiumin Wang, Qingbo Wu, Rui Li, Ching-Hsien Hsu, Albert Y. Zomaya

CoRR, 2021

FedProf: Optimizing Federated Learning with Dynamic Data Profiling.

Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Chenlin Huang, Wei Song

CoRR, 2021

A hierarchical caching strategy in content delivery network.

Fang Shi, Lisheng Fan, Xiazhi Lai, Yuehong Chen, Weiwei Lin

Comput. Commun., 2021

Energy-efficient collaborative optimization for VM scheduling in cloud computing.

Bin Wang, Fagui Liu, Weiwei Lin, Zhenjiang Ma, Dishi Xu

Comput. Networks, 2021

2020

An Artificial Neural Network Approach to Power Consumption Model Construction for Servers in Cloud Data Centers.

Weiwei Lin, Guangxin Wu, Xinyang Wang, Keqin Li

IEEE Trans. Sustain. Comput., 2020

An innovative neural network approach for stock market prediction.

Xiong Wen Pang, Yanqiang Zhou, Pan Wang, Weiwei Lin, Victor Chang

J. Supercomput., 2020

A cost saving and load balancing task scheduling model for computational biology in heterogeneous cloud datacenters.

Wenwei Cai, Jiaxian Zhu, Weihua Bai, Weiwei Lin, Naqin Zhou, Keqin Li

J. Supercomput., 2020

A Reinforcement Learning-Based Mixed Job Scheduler Scheme for Grid or IaaS Cloud.

Delong Cui, Zhiping Peng, Jianbin Xiong, Bo Xu, Weiwei Lin

IEEE Trans. Cloud Comput., 2020

A novel syntax-aware automatic graphics code generation with attention-based deep neural network.

Xiong Wen Pang, Yanqiang Zhou, Pengcheng Li, Weiwei Lin, Wentai Wu, James Z. Wang

J. Netw. Comput. Appl., 2020

Stochastic Client Selection for Federated Learning with Volatile Clients.

Tiansheng Huang, Weiwei Lin, Keqin Li, Albert Y. Zomaya

CoRR, 2020

A Virtual Machine Consolidation Algorithm Based on Ant Colony System and Extreme Learning Machine for Cloud Data Center.

Fagui Liu, Zhenjiang Ma, Bin Wang, Weiwei Lin

IEEE Access, 2020

A Novel Classification Model to Predict Batch Job Failures in Co-located Cloud.

Yurui Li, Weiwei Lin, Keqin Li, James Z. Wang, Fagui Liu, Jie Liu

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Virtual Machine Consolidation for NUMA Systems: A Hybrid Heuristic Grey Wolf Approach.

Kangli Hu, Weiwei Lin, Tiansheng Huang, Keqin Li, Like Ma

Proceedings of the 26th IEEE International Conference on Parallel and Distributed Systems, 2020

Hybridized White Learning in Cloud-Based Picture Archiving and Communication System for Predictability and Interpretability.

Antonio J. Tallón-Ballesteros, Simon Fong, Tengyue Li, Liansheng Liu, Thomas Hanne, Weiwei Lin

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019

A Latency-Aware Multiple Data Replicas Placement Strategy for Fog Computing.

Tiansheng Huang, Weiwei Lin, Yin Li, Ligang He, Shaoliang Peng

J. Signal Process. Syst., 2019

A Novel Sensor Data Pre-Processing Methodology for the Internet of Things Using Anomaly Detection and Transfer-By-Subspace-Similarity Transformation.

Yan Zhong, Simon Fong, Shimin Hu, Raymond K. Wong, Weiwei Lin

Sensors, 2019

分布式机器学习平台与算法综述 (Survey of Distributed Machine Learning Platforms and Algorithms).

Na Shu, Bo Liu, Weiwei Lin, Pengfei Li

计算机科学, 2019

Academic research trend analysis based on big data technology.

Weiwei Lin, Zilong Zhang, Shaoliang Peng

Int. J. Comput. Sci. Eng., 2019

Scheduling Algorithms for Heterogeneous Cloud Environment: Main Resource Load Balancing Algorithm and Time Balancing Algorithm.

Weiwei Lin, Gaofeng Peng, Xinran Bian, Siyao Xu, Victor Chang, Yin Li

J. Grid Comput., 2019

SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead.

Wentai Wu, Ligang He, Weiwei Lin, Rui Mao, Stephen A. Jarvis

CoRR, 2019

Local Trend Inconsistency: A Prediction-driven Approach to Unsupervised Anomaly Detection in Multi-seasonal Time Series.

Wentai Wu, Ligang He, Weiwei Lin

CoRR, 2019

Predicting Long-Term Scientific Impact Based on Multi-Field Feature Extraction.

Ziming Wu, Weiwei Lin, Pan Liu, Jingbang Chen, Li Mao

IEEE Access, 2019

A Dual-Attention-Based Stock Price Trend Prediction Model With Dual Features.

Yingxuan Chen, Weiwei Lin, James Z. Wang

IEEE Access, 2019

A Multi-Dimensional Resource Scheduling Strategy Based on Multilateral Complementarity.

Weihua Bai, Jiaxian Zhu, Huibing Zhang, Weiwei Lin, Jianqing Xi

IEEE Access, 2019

An Improved Container Scheduling Algorithm Based on PSO for Big Data Applications.

Jiawei Li, Bo Liu, Weiwei Lin, Pengfei Li, Qian Gao

Proceedings of the Cyberspace Safety and Security - 11th International Symposium, 2019

2018

A heuristic task scheduling algorithm based on server power efficiency model in cloud environments.

Weiwei Lin, Weiqi Wang, Wentai Wu, Xiong Wen Pang, Bo Liu, Ying Zhang

Sustain. Comput. Informatics Syst., 2018

A new container scheduling algorithm based on multi-objective optimization.

Bo Liu, Pengfei Li, Weiwei Lin, Na Shu, Yin Li, Victor Chang

Soft Comput., 2018

Group object detection and tracking by combining RPCA and fractal analysis.

Longxin Lin, Weiwei Lin, Sibin Huang

Soft Comput., 2018

A cloud server energy consumption measurement system for heterogeneous cloud environments.

Weiwei Lin, Haoyu Wang, Yufeng Zhang, Deyu Qi, James Z. Wang, Victor Chang

Inf. Sci., 2018

A Power Monitoring System Based on a Multi-Component Power Model.

Weiwei Lin, Haoyu Wang, Wentai Wu

Int. J. Grid High Perform. Comput., 2018

Energy-efficient hadoop for big data analytics and computing: A systematic review and research insights.

Wentai Wu, Weiwei Lin, Ching-Hsien Hsu, Ligang He

Future Gener. Comput. Syst., 2018

Experimental and quantitative analysis of server power model for cloud data centers.

Weiwei Lin, Wentai Wu, Haoyu Wang, James Z. Wang, Ching-Hsien Hsu

Future Gener. Comput. Syst., 2018

A general framework for big data knowledge discovery and integration.

Xinyang Wang, Deyu Qi, Weiwei Lin, Mincong Yu, Zhishuo Zheng, Naqin Zhou, Pengguang Chen

Concurr. Comput. Pract. Exp., 2018

Stock Market Prediction based on Deep Long Short Term Memory Neural Network.

Xiong Wen Pang, Yanqiang Zhou, Pan Wang, Weiwei Lin, Victor Chang

Proceedings of the 3rd International Conference on Complexity, 2018

2017

An intelligent power consumption model for virtual machines under CPU-intensive workload in cloud environment.

Wentai Wu, Weiwei Lin, Zhiping Peng

Soft Comput., 2017

Design and theoretical analysis of virtual machine placement algorithm based on peak workload characteristics.

Weiwei Lin, Siyao Xu, Jin Li, Lingling Xu, Zhiping Peng

Soft Comput., 2017

An optimized video synopsis algorithm and its distributed processing model.

Longxin Lin, Weiwei Lin, Weijun Xiao, Sibin Huang

Soft Comput., 2017

Performance analysis of clustering algorithm under two kinds of big data architecture.

Beibei Li, Bo Liu, Weiwei Lin, Ying Zhang

J. High Speed Networks, 2017

Multi-resource scheduling and power simulation for cloud computing.

Weiwei Lin, Siyao Xu, Ligang He, Jin Li

Inf. Sci., 2017

A list scheduling algorithm for heterogeneous systems based on a critical node cost table and pessimistic cost table.

Naqin Zhou, Deyu Qi, Xinyang Wang, Zhishuo Zheng, Weiwei Lin

Concurr. Comput. Pract. Exp., 2017

A Study of a Multi-Agent Organizational Framework with Virtual Machine Clusters as the Unit of Granularity in Cloud Computing.

Zhiping Peng, Bo Xu, Antonio Marcel Gates, Delong Cui, Weiwei Lin

Comput. J., 2017

An Ensemble Random Forest Algorithm for Insurance Big Data Analysis.

Weiwei Lin, Ziming Wu, Longxin Lin, Angzhan Wen, Jin Li

IEEE Access, 2017

An Ensemble Random Forest Algorithm for Insurance Big Data Analysis.

Ziming Wu, Weiwei Lin, Zilong Zhang, Angzhan Wen, Longxin Lin

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016

A Heuristic Task Scheduling Algorithm for Heterogeneous Virtual Clusters.

Weiwei Lin, Wentai Wu, James Z. Wang

Sci. Program., 2016

MR-LDA: An Efficient Topic Model for Classification of Short Text in Big Social Data.

Xiong Wen Pang, Benshuai Wan, Huifang Li, Weiwei Lin

Int. J. Grid High Perform. Comput., 2016

An Energy-Efficient Resource Scheduling Algorithm for Cloud Computing based on Resource Equivalence Optimization.

Li Mao, Deyu Qi, Weiwei Lin, Bo Liu, Ye Da Li

Int. J. Grid High Perform. Comput., 2016

The twisted crossed cube.

Xinyang Wang, Jiarong Liang, Deyu Qi, Weiwei Lin

Concurr. Comput. Pract. Exp., 2016

Cloud Job Access Control Scheme Based on Gaussian Process Regression and Reinforcement Learning.

Zhiping Peng, Delong Cui, Jianbin Xiong, Bo Xu, Yuanjia Ma, Weiwei Lin

Proceedings of the 4th IEEE International Conference on Future Internet of Things and Cloud, 2016

R-Learning and Gaussian Process Regression Algorithm for Cloud Job Access Control.

Zhiping Peng, Delong Cui, Yuanjia Ma, Jianbin Xiong, Bo Xu, Weiwei Lin

Proceedings of the 3rd IEEE International Conference on Cyber Security and Cloud Computing, 2016

A Reinforcement Learning-Based Mixed Job Scheduler Scheme for Cloud Computing under SLA Constraint.

Zhiping Peng, Delong Cui, Yuanjia Ma, Jianbin Xiong, Bo Xu, Weiwei Lin

Proceedings of the 3rd IEEE International Conference on Cyber Security and Cloud Computing, 2016

2015

一种面向云存储数据容错的ARC缓存淘汰机制 (Adaptive Replacement Cache Mechanism for Fault Tolerance in Cloud Storage).

Qiuping Wu, Bo Liu, Weiwei Lin

计算机科学, 2015

The Deasibility and Properties of Dividing Virtual Machine Resources using the Virtual Machine Cluster as the Unit in Cloud Computing.

Zhiping Peng, Bo Xu, Antonio Marcel Gates, Delong Cui, Weiwei Lin

KSII Trans. Internet Inf. Syst., 2015

Novel algorithms and equivalence optimisation for resource allocation in cloud computing.

Weiwei Lin, Chaoyue Zhu, Jin Li, Bo Liu, Huiqiong Lian

Int. J. Web Grid Serv., 2015

A Self-Adaptive Prediction Algorithm for Cloud Workloads.

Li Mao, Deyu Qi, Weiwei Lin, Chaoyue Zhu

Int. J. Grid High Perform. Comput., 2015

Random task scheduling scheme based on reinforcement learning in cloud computing.

Zhiping Peng, Delong Cui, Jinglong Zuo, Qirui Li, Bo Xu, Weiwei Lin

Clust. Comput., 2015

Deployment Method of Virtual Machine Cluster Based on Energy Minimization and Graph Cuts Theory.

Zhiping Peng, Bo Xu, Delong Cui, Weiwei Lin, Xu An Wang

Proceedings of the 10th International Conference on P2P, 2015

2014

Bandwidth-aware divisible task scheduling for cloud computing.

Weiwei Lin, Chen Liang, James Z. Wang, Rajkumar Buyya

Softw. Pract. Exp., 2014

Energy Efficiency Oriented Scheduling for Heterogeneous Cloud Systems.

Weiwei Lin, Chao Yang, Chaoyue Zhu, James Z. Wang, Zhiping Peng

Int. J. Grid High Perform. Comput., 2014

Novel Resource Allocation Algorithm for Energy-Efficient Cloud Computing in Heterogeneous Environment.

Weiwei Lin, Liang Tan, James Z. Wang

Int. J. Grid High Perform. Comput., 2014

2013

A Dynamic Data Fault-Tolerance Mechanism for Cloud Storage.

Liying Wu, Bo Liu, Weiwei Lin

Proceedings of the 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013

Novel Resource Allocation Model and Algorithms for Cloud Computing.

Weiwei Lin, Baoyun Peng, Chen Liang, Bo Liu

Proceedings of the 2013 Fourth International Conference on Emerging Intelligent Data and Web Technologies, 2013

2006

TGrid: A New Grid Environment.

Deyu Qi, Weiwei Lin

Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

Implementations of Grid-Based Distributed Parallel Computing.

Weiwei Lin, Changgeng Guo, Deyu Qi, Yuehong Chen, Zhili Zhang

Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006

The Research of Scientific Computing Environment on Scilab.

Zhili Zhang, Zhenyu Wang, Deyu Qi, Weiwei Lin, Dong Zhang, Yongjun Li

Proceedings of the Advanced Web and Network Technologies, and Applications, 2006