Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions

G Zhou, W Tian, R Buyya, R Xue, L Song - Artificial Intelligence Review, 2024 - Springer
With the acceleration of the Internet in Web 2.0, Cloud computing is a new paradigm to offer
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …

A review of microservices autoscaling with formal verification perspective

SNA Jawaddi, MH Johari… - Software: Practice and …, 2022 - Wiley Online Library
The process of scaling microservices is a challenging task, especially in maintaining
optimum resource provisioning while respecting QoS constraints and SLA. Many research …

Anomaly detection in cloud computing using knowledge graph embedding and machine learning mechanisms

K Mitropoulou, P Kokkinos, P Soumplis… - Journal of Grid …, 2024 - Springer
The orchestration of cloud computing infrastructures is challenging, considering the number,
heterogeneity and dynamicity of the involved resources, along with the highly distributed …

Exploring the effectiveness of VR-based product demonstrations featuring items of furniture

C Xin - Library Hi Tech, 2024 - emerald.com
Purpose This paper aims to present a case study of virtual-reality-based product
demonstrations featuring items of furniture. The results will be of use in further design and …

The effect of education model in physical education on student learning behavior

Y Chu, C Chen, G Wang, F Su - Frontiers in psychology, 2022 - frontiersin.org
This research explores the effect of the sports education model implemented in physical
education on college students' learning motivation and outcomes. The sports education …

Open data: an innovative learning resource for postgraduates

W Dai, Y Zhou, C Zhang, H Zhang - Library Hi Tech, 2024 - emerald.com
Purpose With the continuous development of the global COVID-19 epidemic, mobile
learning has become one of the most significant learning approaches. The mobile learning …

How blockchain technology hyperautomatically affects corporate performance by green supply chain?

F Jiang, K Kok Wei, SP Ng, M Amin… - Enterprise Information …, 2023 - Taylor & Francis
Hyperautomation is a true digital transformation using advanced techniques and automates
complicated business processes. Blockchain-based networks have hyper-automation turbo …

DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning

C Meng, S Song, H Tong, M Pan… - 2023 38th IEEE/ACM …, 2023 - ieeexplore.ieee.org
Autoscaling functions provide the foundation for achieving elasticity in the modern cloud
computing paradigm. It enables dynamic provisioning or de-provisioning resources for cloud …

Research on the brand image of iOS and Android smart phone operating systems based on mixed methods

W Hu, T Hao, Y Hu, H Chen, Y Zhou, W Yin - Frontiers in Psychology, 2023 - frontiersin.org
Introduction To analyze the differences in system functions, interaction behaviors and user
experience between iOS and Android smart phone operating system, and then study the …

Data Collection And Performance Evaluation Of Running Training Sport Using Different Neural Network Techniques

C Yang, YT Chang - Journal of Mechanics in Medicine and Biology, 2023 - World Scientific
With the increasing engagement of human beings in the pursuit of healthcare, running as a
sport has become a fashionable and healthcare first choice. This research uses artificial …