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Lightweight Reinforcement Learning for Priority-Aware Spectrum Management in Vehicular IoT Networks. [PDF]
Sensors (Basel)Iqbal A, Nauman A, Khurshaid T.
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Sleep quality and response after rotator cuff repair, total shoulder arthroplasty, and reverse shoulder arthroplasty. [PDF]
JSES IntO'Donnell EA +6 more
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Modeling and simulation of dual-battery FANET system using MADRL for energy optimization. [PDF]
Sci RepMary AS, Kumar TSP.
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A Data-Characteristic-Aware Latent Factor Model for Web Services QoS Prediction
IEEE Transactions on Knowledge and Data Engineering, 2022How to accurately predict unknown quality-of-service (QoS) data based on observed ones is a hot yet thorny issue in Web service-related applications. Recently, a latent factor (LF) model has shown its efficiency in addressing this issue owing to its high
Di Wu +5 more
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IEEE Transactions on Services Computing, 2023
Quality-of-Service (QoS), which describes the non-functional characteristics of Web service, is of great significance in service selection. Since users cannot invoke all services to obtain the corresponding QoS data, QoS prediction becomes a hot yet ...
Di Wu, Peng Zhang, Yi He, Xin Luo
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Quality-of-Service (QoS), which describes the non-functional characteristics of Web service, is of great significance in service selection. Since users cannot invoke all services to obtain the corresponding QoS data, QoS prediction becomes a hot yet ...
Di Wu, Peng Zhang, Yi He, Xin Luo
semanticscholar +1 more source
Sinan: ML-based and QoS-aware resource management for cloud microservices
International Conference on Architectural Support for Programming Languages and Operating Systems, 2021Cloud applications are increasingly shifting from large monolithic services, to large numbers of loosely-coupled, specialized microservices. Despite their advantages in terms of facilitating development, deployment, modularity, and isolation ...
Yanqi Zhang +5 more
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IEEE Transactions on Services Computing, 2022
Neighborhood regularization is highly important for a latent factor (LF)-based Quality-of-Service (QoS)-predictor since similar users usually experience similar QoS when invoking similar services.
Di Wu +5 more
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Neighborhood regularization is highly important for a latent factor (LF)-based Quality-of-Service (QoS)-predictor since similar users usually experience similar QoS when invoking similar services.
Di Wu +5 more
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QoS-aware placement of microservices-based IoT applications in Fog computing environments
Future generations computer systems, 2022—The fog computing paradigm, offering Cloud-like services at the edge of the network, has become a feasible model for supporting computing and storage capabilities required by latency-sensitive and bandwidth-hungry Internet of Things (IoT) applications ...
Samodha Pallewatta +2 more
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Context-Aware and Adaptive QoS Prediction for Mobile Edge Computing Services
IEEE Transactions on Services Computing, 2022Mobile edge computing (MEC) allows the use of its services with low latency, location awareness and mobility support to make up for the disadvantages of cloud computing, and has gained a considerable momentum recently.
Zhizhong Liu +4 more
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