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    Article

    BlockFaaS: Blockchain-enabled Serverless Computing Framework for AI-driven IoT Healthcare Applications

    With the development of new sensor technologies, Internet of Things (IoT)-based healthcare applications have gained momentum in recent years. However, IoT devices have limited resources, making them incapable ...

    Muhammed Golec, Sukhpal Singh Gill, Mustafa Golec, Minxian Xu in Journal of Grid Computing (2023)

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    Chapter

    GPU Based AI for Modern E-Commerce Applications: Performance Evaluation, Analysis and Future Directions

    Every year in the United States, the 4th Thursday of November is commemorated as Thanksgiving Day. The next day which is a Friday is known as Black Friday. This day is the busiest day in terms of shop** beca...

    Sanskar Tewatia, Ankit Anil Patel, Ahmed M. Abdelmoniem in 6G Enabled Fog Computing in IoT (2023)

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    Chapter

    Leveraging Cloud-Native Microservices Architecture for High Performance Real-Time Intra-Day Trading: A Tutorial

    Day trading has been gaining attention from prospective investors over the past decades, even more so in the last decade due to a plethora of factors such as instantaneous availability and accessibility to inf...

    Mousumi Hota, Ahmed M. Abdelmoniem, Minxian Xu in 6G Enabled Fog Computing in IoT (2023)

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    Chapter and Conference Paper

    ChainsFormer: A Chain Latency-Aware Resource Provisioning Approach for Microservices Cluster

    The trend towards transitioning from monolithic applications to microservices has been widely embraced in modern distributed systems and applications. This shift has resulted in the creation of lightweight, fi...

    Chenghao Song, Minxian Xu, Kejiang Ye, Huaming Wu in Service-Oriented Computing (2023)

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    Chapter and Conference Paper

    A Reinforcement Learning Based Approach to Identify Resource Bottlenecks for Multiple Services Interactions in Cloud Computing Environments

    Cloud service providers are provisioning resources including a variety of virtual machine instances to support customers that migrate their services to the cloud. From the customers’ perspective, selecting the...

    Lingxiao Xu, Minxian Xu, Richard Semmes in Collaborative Computing: Networking, Appli… (2021)

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    Chapter

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

    The development of Internet of Things (IoT) technology enables the rapid growth of connected smart devices and mobile applications. However, due to the constrained resources and limited battery capacity, there...

    Minxian Xu, Chengxi Gao, Shashikant Ilager, Huaming Wu in Mobile Edge Computing (2021)

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    Chapter and Conference Paper

    Optimized Renewable Energy Use in Green Cloud Data Centers

    The huge energy consumption of cloud data centers not only increases costs but also carbon emissions associated with such data centers. Powering data centers with renewable or green sources of energy can reduc...

    Minxian Xu, Adel N. Toosi, Behrooz Bahrani, Reza Razzaghi in Service-Oriented Computing (2019)

  8. Chapter and Conference Paper

    Energy Efficient Scheduling of Application Components via Brownout and Approximate Markov Decision Process

    Unexpected loads in Cloud data centers may trigger overloaded situation and performance degradation. To guarantee system performance, cloud computing environment is required to have the ability to handle overl...

    Minxian Xu, Rajkumar Buyya in Service-Oriented Computing (2017)

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    Chapter and Conference Paper

    A Cost-Efficient Scheduling Algorithm for Traffic Grooming

    In this paper, we consider a fundamental traffic grooming problem in optical line-system: the number of total links with lengths and the max number of wavelengths (capacity) of each fiber are given, also a set...

    **anrong Liu, Wenhong Tian, Minxian Xu in Frontiers in Algorithmics and Algorithmic … (2013)