Minxian Xu

Orcid: 0000-0002-0046-5153

According to our database1, Minxian Xu authored at least 70 papers between 2011 and 2024.

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Bibliography

2024
Computation Energy Efficiency Maximization for NOMA-Based and Wireless-Powered Mobile Edge Computing With Backscatter Communication.
IEEE Trans. Mob. Comput., June, 2024

Cocv: A compression algorithm for time-series data with continuous constant values in IoT-based monitoring systems.
Internet Things, April, 2024

Blockchain and Reinforcement Neural Network for Trusted Cloud-Enabled IoT Network.
IEEE Trans. Consumer Electron., February, 2024

Computation Energy Efficiency Maximization for Intelligent Reflective Surface-Aided Wireless Powered Mobile Edge Computing.
IEEE Trans. Sustain. Comput., 2024

Efficient Multi-Task Computation Offloading Game for Mobile Edge Computing.
IEEE Trans. Serv. Comput., 2024

Special issue on efficient management of microservice-based systems and applications.
Softw. Pract. Exp., 2024

UELLM: A Unified and Efficient Approach for LLM Inference Serving.
CoRR, 2024

MSARS: A Meta-Learning and Reinforcement Learning Framework for SLO Resource Allocation and Adaptive Scaling for Microservices.
CoRR, 2024

CloudNativeSim: a toolkit for modeling and simulation of cloud-native applications.
CoRR, 2024

StatuScale: Status-aware and Elastic Scaling Strategy for Microservice Applications.
CoRR, 2024

DRPC: Distributed Reinforcement Learning Approach for Scalable Resource Provisioning in Container-based Clusters.
CoRR, 2024

Edge AI: A Taxonomy, Systematic Review and Future Directions.
CoRR, 2024

Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales.
CoRR, 2024

An Empirical Study on Edge-to-Cloud Continuum for Smart Applications: Performance, Design Patterns, and Key Factors.
Proceedings of the IEEE International Conference on Edge Computing and Communications, 2024

TempoScale: A Cloud Workloads Prediction Approach Integrating Short-Term and Long-Term Information.
Proceedings of the 17th IEEE International Conference on Cloud Computing, 2024

2023
BlockFaaS: Blockchain-enabled Serverless Computing Framework for AI-driven IoT Healthcare Applications.
J. Grid Comput., December, 2023

Performance Interference of Virtual Machines: A Survey.
ACM Comput. Surv., December, 2023

Prepartition: Load Balancing Approach for Virtual Machine Reservations in a Cloud Data Center.
J. Comput. Sci. Technol., July, 2023

AI-based fog and edge computing: A systematic review, taxonomy and future directions.
Internet Things, April, 2023

HunterPlus: AI based energy-efficient task scheduling for cloud-fog computing environments.
Internet Things, April, 2023

Flash: Joint Flow Scheduling and Congestion Control in Data Center Networks.
IEEE Trans. Cloud Comput., 2023

A review of security issues and solutions for precision health in Internet-of-Medical-Things systems.
Secur. Saf., 2023

Practice of Alibaba Cloud on Elastic Resource Provisioning for Large-scale Microservices Cluster.
CoRR, 2023

Resource Management for GPT-based Model Deployed on Clouds: Challenges, Solutions, and Future Directions.
CoRR, 2023

Fortaleza: The emergence of a network hub.
CoRR, 2023

Transformative Effects of ChatGPT on Modern Education: Emerging Era of AI Chatbots.
CoRR, 2023

Practical model with strong interpretability and predictability: An explanatory model for individuals' destination prediction considering personal and crowd travel behavior.
Concurr. Comput. Pract. Exp., 2023

An Interference-aware Approach for Co-located Container Orchestration with Novel Metric.
Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

ChainsFormer: A Chain Latency-Aware Resource Provisioning Approach for Microservices Cluster.
Proceedings of the Service-Oriented Computing - 21st International Conference, 2023

2022
CoScal: Multifaceted Scaling of Microservices With Reinforcement Learning.
IEEE Trans. Netw. Serv. Manag., December, 2022

Machine Learning-based Orchestration of Containers: A Taxonomy and Future Directions.
ACM Comput. Surv., January, 2022

esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments.
ACM Trans. Internet Techn., 2022

EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments.
IEEE Trans. Green Commun. Netw., 2022

PDMA: Probabilistic service migration approach for delay-aware and mobility-aware mobile edge computing.
Softw. Pract. Exp., 2022

HUNTER: AI based holistic resource management for sustainable cloud computing.
J. Syst. Softw., 2022

AI for next generation computing: Emerging trends and future directions.
Internet Things, 2022

BenchSubset: A framework for selecting benchmark subsets based on consensus clustering.
Int. J. Intell. Syst., 2022

TRACTOR: Traffic-aware and power-efficient virtual machine placement in edge-cloud data centers using artificial bee colony optimization.
Int. J. Commun. Syst., 2022

A multi-output prediction model for physical machine resource usage in cloud data centers.
Future Gener. Comput. Syst., 2022

Cost Control and Efficiency Optimization in Maintainability Implementation of Wireless Sensor Networks based on Serverless Computing.
CoRR, 2022

EsDNN: Deep Neural Network based Multivariate Workload Prediction Approach in Cloud Environment.
CoRR, 2022

2021
A Self-Adaptive Approach for Managing Applications and Harnessing Renewable Energy for Sustainable Cloud Computing.
IEEE Trans. Sustain. Comput., 2021

EEDTO: An Energy-Efficient Dynamic Task Offloading Algorithm for Blockchain-Enabled IoT-Edge-Cloud Orchestrated Computing.
IEEE Internet Things J., 2021

Green-Aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions.
Mobile Edge Computing, 2021

2020
Managing renewable energy and carbon footprint in multi-cloud computing environments.
J. Parallel Distributed Comput., 2020

Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things.
IEEE Internet Things J., 2020

Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions.
CoRR, 2020

A Reinforcement Learning Based Approach to Identify Resource Bottlenecks for Multiple Services Interactions in Cloud Computing Environments.
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2020

Energy Efficient Algorithms based on VM Consolidation for Cloud Computing: Comparisons and Evaluations.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

2019
iBrownout: An Integrated Approach for Managing Energy and Brownout in Container-Based Clouds.
IEEE Trans. Sustain. Comput., 2019

BrownoutCon: A software system based on brownout and containers for energy-efficient cloud computing.
J. Syst. Softw., 2019

Transformative effects of IoT, Blockchain and Artificial Intelligence on cloud computing: Evolution, vision, trends and open challenges.
Internet Things, 2019

Brownout Approach for Adaptive Management of Resources and Applications in Cloud Computing Systems: A Taxonomy and Future Directions.
ACM Comput. Surv., 2019

Optimized Renewable Energy Use in Green Cloud Data Centers.
Proceedings of the Service-Oriented Computing - 17th International Conference, 2019

2018
Brownout-oriented and energy efficient management of cloud data centers.
PhD thesis, 2018

2017
Energy-aware Application Components Scheduling based on Brownout and Approximate MDP.
CoRR, 2017

A survey on load balancing algorithms for virtual machines placement in cloud computing.
Concurr. Comput. Pract. Exp., 2017

Energy Efficient Scheduling of Application Components via Brownout and Approximate Markov Decision Process.
Proceedings of the Service-Oriented Computing - 15th International Conference, 2017

2016
Energy Efficient Scheduling of Cloud Application Components with Brownout.
IEEE Trans. Sustain. Comput., 2016

A Survey on Load Balancing Algorithms for VM Placement in Cloud Computing.
CoRR, 2016

2015
A Toolkit for Modeling and Simulation of Real-Time Virtual Machine Allocation in a Cloud Data Center.
IEEE Trans Autom. Sci. Eng., 2015

Open-source simulators for Cloud computing: Comparative study and challenging issues.
Simul. Model. Pract. Theory, 2015

CloudSimNFV: Modeling and Simulation of Energy-Efficient NFV in Cloud Data Centers.
CoRR, 2015

FlexCloud: A Flexible and Extendible Simulator for Performance Evaluation of Virtual Machine Allocation.
CoRR, 2015

Prepartition: Paradigm for the Load Balance of Virtual Machine Allocation in Data Centers.
CoRR, 2015

FlexCloud: A Flexible and Extendible Simulator for Performance Evaluation of Virtual Machine Allocation.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

2014
Prepartition: A new paradigm for the load balance of virtual machine reservations in data centers.
Proceedings of the IEEE International Conference on Communications, 2014

2013
A Cost-Efficient Scheduling Algorithm for Traffic Grooming.
Proceedings of the Frontiers in Algorithmics <i>and</i> Algorithmic Aspects in Information and Management, 2013

2012
An online load balancing scheduling algorithm for cloud data centers considering real-time multi-dimensional resource.
Proceedings of the 2nd IEEE International Conference on Cloud Computing and Intelligence Systems, 2012

2011
A dynamic and integrated load-balancing scheduling algorithm for Cloud datacenters.
Proceedings of the 2011 IEEE International Conference on Cloud Computing and Intelligence Systems, 2011


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