AI-based resource provisioning of IoE services in 6G: A deep reinforcement learning approach
Currently, researchers have motivated a vision of 6G for empowering the new generation of
the Internet of Everything (IoE) services that are not supported by 5G. In the context of 6G …
the Internet of Everything (IoE) services that are not supported by 5G. In the context of 6G …
Key influencing factors of the Kubernetes auto-scaler for computing-intensive microservice-native cloud-based applications
S Taherizadeh, M Grobelnik - Advances in Engineering Software, 2020 - Elsevier
Nowadays, different types of computing-intensive services such as mechanical, aerospace,
civil and environmental applications are often deployed on the cloud since it offers a …
civil and environmental applications are often deployed on the cloud since it offers a …
Resource and replica management strategy for optimizing financial cost and user experience in edge cloud computing system
C Li, J Bai, Y Chen, Y Luo - Information Sciences, 2020 - Elsevier
Edge cloud computing can provide resources that are close to users and reduce response
time. However, the edge cloud computing system still faces many challenges on addressing …
time. However, the edge cloud computing system still faces many challenges on addressing …
Dynamic multi-level auto-scaling rules for containerized applications
S Taherizadeh, V Stankovski - The Computer Journal, 2019 - academic.oup.com
Container-based cloud applications require sophisticated auto-scaling methods in order to
operate under different workload conditions. The choice of an auto-scaling method may …
operate under different workload conditions. The choice of an auto-scaling method may …
Competent resource provisioning and distribution techniques for cloud computing environment
A Suresh, R Varatharajan - Cluster Computing, 2019 - Springer
The principal intension of the investigation is to provisioning the resources and effectively
allocates them. Initially, the resource are identified and analyzed and then clustered. Cluster …
allocates them. Initially, the resource are identified and analyzed and then clustered. Cluster …
Dynamic scalability model for containerized cloud services
Cloud computing has become an important research area in large-scale computing systems
and is being employed by many organizations in government, businesses, and industry …
and is being employed by many organizations in government, businesses, and industry …
Lifting the fog of uncertainties: Dynamic resource orchestration for the containerized cloud
The advances in virtualization technologies have sparked a growing transition from virtual
machine (VM)-based to container-based infrastructure for cloud computing. From the …
machine (VM)-based to container-based infrastructure for cloud computing. From the …
Efficiency and optimization of government service resource allocation in a cloud computing environment
Y Guo, Q Yin, Y Wang, J Xu, L Zhu - Journal of Cloud Computing, 2023 - Springer
According to the connotation and structure of government service resources, data of
government service resources in L city from 2019 to 2021 are used to calculate the efficiency …
government service resources in L city from 2019 to 2021 are used to calculate the efficiency …
Auto-scaling applications in edge computing: Taxonomy and challenges
S Taherizadeh, V Stankovski - … of the International Conference on Big …, 2017 - dl.acm.org
The perspective of online services such as Internet of Things (IoT) applications has
impressively evolved over the last recent years as they are becoming more and more time …
impressively evolved over the last recent years as they are becoming more and more time …
Dynamic resource provisioning for service-based cloud applications: A Bayesian learning approach
Deciding the correct extent of resources needed to run the various cloud services is always
a challenge. Often in such dynamic environments, there is a tremendous need for accurate …
a challenge. Often in such dynamic environments, there is a tremendous need for accurate …