Wanbo Zheng
Orcid: 0000-0002-9500-4164
According to our database1,
Wanbo Zheng
authored at least 24 papers
between 2008 and 2022.
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Bibliography
2022
Proceedings of the 18th International Conference on Mobility, Sensing and Networking, 2022
Proceedings of the Web Services - ICWS 2022, 2022
2020
A Novel Coevolutionary Approach to Reliability Guaranteed Multi-Workflow Scheduling upon Edge Computing Infrastructures.
Secur. Commun. Networks, 2020
A Novel Approach to Scheduling Workflows Upon Cloud Resources with Fluctuating Performance.
Mob. Networks Appl., 2020
Predictive-Trend-Aware Composition of Web Services With Time-Varying Quality-of-Service.
IEEE Access, 2020
Scheduling Multi-workflows over Edge Computing Resources with Time-Varying Performance, A Novel Probability-Mass Function and DQN-Based Approach.
Proceedings of the Web Services - ICWS 2020, 2020
A Decentralized Collaborative Approach to Online Edge User Allocation in Edge Computing Environments.
Proceedings of the 2020 IEEE International Conference on Web Services, 2020
Reactive Workflow Scheduling in Fluctuant Infrastructure-as-a-Service Clouds Using Deep Reinforcement Learning.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020
A Novel Probabilistic-Performance-Aware Approach to Multi-workflow Scheduling in the Edge Computing Environment.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020
A Novel Probabilistic-Performance-Aware and Evolutionary Game-Theoretic Approach to Task Offloading in the Hybrid Cloud-Edge Environment.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020
A Predictive-Trend-Aware and Critical-Path-Estimation-Based Method for Workflow Scheduling Upon Cloud Services.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020
2019
A Workload-Aware VM Consolidation Method Based on Coalitional Game for Energy-Saving in Cloud.
IEEE Access, 2019
Multi-Objective Workflow Scheduling With Deep-Q-Network-Based Multi-Agent Reinforcement Learning.
IEEE Access, 2019
A Novel Coalitional Game-Theoretic Approach for Energy-Aware Dynamic VM Consolidation in Heterogeneous Cloud Datacenters.
Proceedings of the Web Services - ICWS 2019, 2019
Mobility-Aware and Migration-Enabled Online Edge User Allocation in Mobile Edge Computing.
Proceedings of the 2019 IEEE International Conference on Web Services, 2019
A Novel Approach to Cost-Efficient Scheduling of Multi-workflows in the Edge Computing Environment with the Proximity Constraint.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2019
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2019
2017
Int. J. Distributed Sens. Networks, 2017
Percentile Performance Estimation of Unreliable IaaS Clouds and Their Cost-Optimal Capacity Decision.
IEEE Access, 2017
Percentile performance analysis of infrastructure-as-a-service clouds with task retrials.
Proceedings of the 14th IEEE International Conference on Networking, Sensing and Control, 2017
Proceedings of the Human Centered Computing - Third International Conference, 2017
Research and Optimization of the Cluster Server Load Balancing Technology Based on Centos 7.
Proceedings of the Human Centered Computing - Third International Conference, 2017
2016
On Stochastic Performance and Cost-Aware Optimal Capacity Planning of Unreliable Infrastructure-as-a-Service Cloud.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2016
2008
Proceedings of the 12th International Conference on CSCW in Design, 2008