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Journal of Grid Computing, Volume 22
Volume 22, Number 1, March 2024
- Yuliang Gai, Yuxin Liu, Minghao Li, Shengcheng Yang:
Markovian with Federated Deep Recurrent Neural Network for Edge - IoMT to Improve Healthcare in Smart Cities. 1 - Yu Song, Xin He, Xiwang Tang
, Yin Bo, Jie Du, Jiali Liu, Zhongbao Zhao, Shigang Geng:
DEEPBIN: Deep Learning Based Garbage Classification for Households Using Sustainable Natural Technologies. 2 - Sheng Chai, Lantian Guo:
Edge Computing with Fog-cloud for Heart Data Processing using Particle Swarm Optimized Deep Learning Technique. 3 - Ming Zhang:
Development of Analytical Offloading for Innovative Internet of Vehicles Based on Mobile Edge Computing. 4 - Xi Zhen, Li Zhen:
Accounting Information Systems and Strategic Performance: The Interplay of Digital Technology and Edge Computing Devices. 5 - Katerina Mitropoulou, Panagiotis C. Kokkinos, Polyzois Soumplis, Emmanouel A. Varvarigos:
Anomaly Detection in Cloud Computing using Knowledge Graph Embedding and Machine Learning Mechanisms. 6 - Yibo Han, Pu Han, Bo Yuan, Zheng Zhang, Lu Liu, John Panneerselvam:
Novel Transformation Deep Learning Model for Electrocardiogram Classification and Arrhythmia Detection using Edge Computing. 7 - XuanWen, Hai Meng Sun:
Parking Cooperation-Based Mobile Edge Computing Using Task Offloading Strategy. 8 - Huayi Yin, Xindong Huang, Erzhong Cao:
A Cloud-Edge-Based Multi-Objective Task Scheduling Approach for Smart Manufacturing Lines. 9 - Bingtao Liu:
Hybrid Fuzzy Neural Network for Joint Task Offloading in the Internet of Vehicles. 10 - Aida A. Nasr
CMSV: a New Cloud Multi-Agents for Self-Driving Vehicles as a Services. 11 - Xiaofeng Yang:
Optimizing Accounting Informatization through Simultaneous Multi-Tasking across Edge and Cloud Devices using Hybrid Machine Learning Models. 12 - Avishek Sinha, Samayveer Singh, Harsh K. Verma:
AI-Driven Task Scheduling Strategy with Blockchain Integration for Edge Computing. 13 - Xuemei Li, Xuelian Liu, Da Xie, Chong Chen:
3D Lidar Target Detection Method at the Edge for the Cloud Continuum. 14 - Xiedong Song, Qinmin Ma:
Intrusion Detection using Federated Attention Neural Network for Edge Enabled Internet of Things. 15 - Yung Po Tsang, Carman Ka Man Lee, Kening Zhang
On-Chain and Off-Chain Data Management for Blockchain-Internet of Things: A Multi-Agent Deep Reinforcement Learning Approach. 16 - Joaquín Entrialgo
Joint Autoscaling of Containers and Virtual Machines for Cost Optimization in Container Clusters. 17 - Ziyang Zhang, Keyu Gu, Zijie Xu:
DRL-based Task and Computational Offloading for Internet of Vehicles in Decentralized Computing. 18 - Johny Elma K., Praveena Rachel Kamala S, T. Saraswathi:
Hybridized Black Widow-Honey Badger Optimization: Swarm Intelligence Strategy for Node Localization Scheme in WSN. 19 - Daidi Hu:
Automated Pallet Racking Examination in Edge Platform Based on MobileNetV2: Towards Smart Manufacturing. 20 - Xinyu Zhang, Zhigang Hu, Yang Liang, Hui Xiao, Aikun Xu, Meiguang Zheng, Chuan Sun:
A Federated Deep Reinforcement Learning-based Low-power Caching Strategy for Cloud-edge Collaboration. 21 - Wenxia Ye:
E-Commerce Logistics and Supply Chain Network Optimization for Cross-Border. 22 - Shanvendra Rai
A Combined Approach of PUF and Physiological Data for Mutual Authentication and Key Agreement in WMSN. 23 - Sanchika Abhay Bajpai, Archana Patankar:
Marine Goal Optimizer Tuned Deep BiLSTM-Based Self-Configuring Intrusion Detection in Cloud. 24 - Mengqi Wang, Jiayuan Mao, Wei Zhao, Xinya Han, Mengya Li, Chuanjun Liao, Haomiao Sun, Kexin Wang:
Smart City Transportation: A VANET Edge Computing Model to Minimize Latency and Delay Utilizing 5G Network. 25 - Jianjia Liu, Xin Yang, Tiannan Liao, Yong Hang:
An IoT-based Covid-19 Healthcare Monitoring and Prediction Using Deep Learning Methods. 26 - Sheng Chai, Jimmy Huang:
Dependent Task Scheduling Using Parallel Deep Neural Networks in Mobile Edge Computing. 27 - Jie Zhao, Ahmed M. El-Sherbeeny:
Joint Task Offloading and Multi-Task Offloading Based on NOMA Enhanced Internet of Vehicles in Edge Computing. 28 - Xucheng Wan:
Dynamic Resource Management in MEC Powered by Edge Intelligence for Smart City Internet of Things. 29 - Kemeng Wang, Shurui Kong, Xuezheng Chen, Min Zhao:
Edge Computing Empowered Smart Healthcare: Monitoring and Diagnosis with Deep Learning Methods. 30 - Naveen Chauhan
A Probabilistic Deadline-aware Application Offloading in a Multi-Queueing Fog System: A Max Entropy Framework. 31 - Hao Tian
Employing RNN and Petri Nets to Secure Edge Computing Threats in Smart Cities. 32 - Amir Javadpour, Arun Kumar Sangaiah
Decentralized AI-Based Task Distribution on Blockchain for Cloud Industrial Internet of Things. 33 - Hulin Jin, Yong-Guk Kim, Zhiran Jin, Chunyang Fan, Yonglong Xu:
Joint Task Offloading Based on Distributed Deep Reinforcement Learning-Based Genetic Optimization Algorithm for Internet of Vehicles. 34 - Hao Guo, Weidong Li
Dynamic Multi-Resource Fair Allocation with Elastic Demands. 35 - Yanli Xing:
Work Scheduling in Cloud Network Based on Deep Q-LSTM Models for Efficient Resource Utilization. 36 - Haotian Pang, Zhanwei Wang:
Dueling Double Deep Q Network Strategy in MEC for Smart Internet of Vehicles Edge Computing Networks. 37 - Shangshang Wang, Yuqin Jing, Kezhu Wang, Xue Wang:
Multi-Agent Systems for Collaborative Inference Based on Deep Policy Q-Inference Network. 38 - Hongjian Li, Wei Luo, Wenbin Xie, Huaqing Ye, Xiaolin Duan:
Adaptive Scheduling Framework of Streaming Applications based on Resource Demand Prediction with Hybrid Algorithms. 39 - Kamalesh Karmakar, Anurina Tarafdar, Rajib K. Das, Sunirmal Khatua:
Cost-efficient Workflow as a Service using Containers. 40 - Shujie Qiu:
Improving Performance of Smart Education Systems by Integrating Machine Learning on Edge Devices and Cloud in Educational Institutions. 41
Volume 22, Number 2, June 2024
- Bo Xu, Jialu Guo, Fangling Ma, Menglan Hu, Wei Liu, Kai Peng:
On the Joint Design of Microservice Deployment and Routing in Cloud Data Centers. 42 - Tao Hai, Muammer Aksoy
CIA Security for Internet of Vehicles and Blockchain-AI Integration. 43 - Neha Kaushik, Harish Kumar, Vinay Raj:
Micro Frontend Based Performance Improvement and Prediction for Microservices Using Machine Learning. 44 - Yu Chen, Yilun Qiu, Zhenyu Tang, Shuling Long, Lingfeng Zhao, Zhong Tang:
Exploring the Synergy of Blockchain, IoT, and Edge Computing in Smart Traffic Management across Urban Landscapes. 45 - Wiktor Sus
Signature-based Adaptive Cloud Resource Usage Prediction Using Machine Learning and Anomaly Detection. 46 - Qiang Fu, Tao Yang:
Enhancing Service Offloading for Dense Networks Based on Optimal Stopping Theory in Virtual Mobile Edge Computing. 47 - Mouhamed Gaith Ayadi, Haithem Mezni:
Enabling Configurable Workflows in Smart Environments with Knowledge-based Process Fragment Reuse. 48 - Saeed Kosari, Mirsaeid Hosseini Shirvani
A Hybrid Discrete Grey Wolf Optimization Algorithm Imbalance-ness Aware for Solving Two-dimensional Bin-packing Problems. 49 - Mouhamed Gaith Ayadi, Haithem Mezni:
Correction: Enabling Configurable Workflows in Smart Environments with Knowledge-based Process Fragment Reuse. 50 - Yuan Sun, Chen Zhang, Tao Huang:
Joint Task Dispatching and Bandwidth Allocation with Hard Deadlines in Distributed Serverless Edge Computing Systems. 51 - Zhe Yang, Zitong Ma, Wenbo Zhao, Lingzhi Li, Fei Gu:
HRNN: Hypergraph Recurrent Neural Network for Network Intrusion Detection. 52 - Jiong Chen, Abdullah Alshammari
Deep Learning Based Entropy Controlled Optimization for the Detection of Covid-19. 53 - Guangyu Xu, Mingde Xu:
An Effective Prediction of Resource Using Machine Learning in Edge Environments for the Smart Healthcare Industry. 54 - Zeinab Bakhshi, Guillermo Rodríguez-Navas, Hans Hansson, Radu Prodan:
Evaluation of Storage Placement in Computing Continuum for a Robotic Application. 55 - Saihong Li, Yingying Ma, Yusha Zhang, Yinghui Xie:
Towards Enhanced Energy Aware Resource Optimization for Edge Devices Through Multi-cluster Communication Systems. 56
Volume 22, Number 3, September 2024
- Zaki Brahmi, Rihab Derouiche:
EQGSA-DPW: A Quantum-GSA Algorithm-Based Data Placement for Scientific Workflow in Cloud Computing Environment. 57 - Reza Rabieyan, Ramin Yahyapour, Patrick Jahnke:
Optimizing Resource Consumption and Reducing Power Usage in Data Centers, A Novel Mathematical VM Replacement Model and Efficient Algorithm. 58 - Zheyu Zhou, Qi Wang, Jizhou Li, Ziyuan Li:
Resource Allocation Using Deep Deterministic Policy Gradient-Based Federated Learning for Multi-Access Edge Computing. 59 - Keqin Li:
Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation. 60 - Abhikriti Narwal:
Resource Utilization Based on Hybrid WOA-LOA Optimization with Credit Based Resource Aware Load Balancing and Scheduling Algorithm for Cloud Computing. 61 - Robert Nica, Stefan Götz, Germán Moltó:
CMK: Enhancing Resource Usage Monitoring across Diverse Bioinformatics Workflow Management Systems. 62 - Mohammad Amin Rayej, Hajar Siar, Ahmadreza Hamzei, Mohammad Sadegh Majidi Yazdi, Parsa Mohammadian, Mohammad Izadi:
WIDESim: A Toolkit for Simulating Resource Management Techniques Of Scientific Workflows in Distributed Environments with Graph Topology. 63 - Ramin Habibzadeh Sharif, Mohammad Masdari, Ali Ghaffari, Farhad Soleimanian Gharehchopogh:
A Quasi-Oppositional Learning-based Fox Optimizer for QoS-aware Web Service Composition in Mobile Edge Computing. 64 - Vasiliki Liagkou, George Fragiadakis, Evangelia Filiopoulou, Christos Michalakelis, Anargyros Tsadimas, Mara Nikolaidou:
Assessing the Complexity of Cloud Pricing Policies: A Comparative Market Analysis. 65
Volume 22, Number 4, December 2024
- Reyhane Ghafari, Najme Mansouri:
Fuzzy Reinforcement Learning Algorithm for Efficient Task Scheduling in Fog-Cloud IoT-Based Systems. 66 - Belén Bermejo, Carlos Juiz, Maria Carla Calzarossa:
The Goodness of Nesting Containers in Virtual Machines for Server Consolidation. 67 - Istvan Pintye, József Kovács, Róbert Lovas:
Enhancing Machine Learning-Based Autoscaling for Cloud Resource Orchestration. 68 - Abolfazl Younesi, MohammadAmin Fazli, Alireza Ejlali:
A Novel Levy Walk-based Framework for Scheduling Power-intensive Mobile Edge Computing Tasks. 69 - Hengzhou Ye, Bochao Feng, Qiu Lu:
Tripartite Game Theory-Based Edge Resource Pricing Approach for Edge Federation. 70 - Jibinraj Antony, Dorotea Jalusic, Simon Bergweiler, Ákos Hajnal, Veronika Zlabravec, Márk Emodi, Dejan Strbad, Tatjana Legler, Attila Csaba Marosi:
Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications. 71
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