Online cloud resource prediction via scalable window waveform sampling on classified workloads

X Wang, J Cao, D Yang, Z Qin, R Buyya - Future Generation Computer …, 2021 - Elsevier
Accurate prediction on the utilization of cloud resources is increasingly important for public
cloud users, as it relates to the reasonable reservation of resources for minimizing the usage …

Novel container cloud elastic scaling strategy based on Kubernetes

Z He - 2020 IEEE 5th information technology and …, 2020 - ieeexplore.ieee.org
Kubernetes is a cluster management system based on container technology, which is
responsible for managing large-scale containers. However, the existing responsive scaling …

Toward optimal operator parallelism for stream processing topology with limited buffers

W Li, Z Zhang, Y Shu, H Liu, T Liu - The Journal of Supercomputing, 2022 - Springer
Stream processing is an emerging in-memory computing paradigm to handle massive
amounts of real-time data. It is vital to have a mechanism to propose proper parallelism for …

Releaser: A reinforcement learning strategy for optimizing utilization of ephemeral cloud resources

M Handaoui, JE Dartois, J Boukhobza… - … on Cloud Computing …, 2020 - ieeexplore.ieee.org
Cloud data center capacities are over-provisioned to handle demand peaks and hardware
failures which leads to low resources' utilization. One way to improve resource utilization …

An Auto-Scaling Architecture for Container Clusters Using Deep Learning

I Abdunabiev, C Lee, M Hanif - 대한전자공학회학술대회, 2021 - dbpia.co.kr
In the past decade, cloud computing has become one of the essential techniques of many
business areas, including social media, online shopping, music streaming, and many more …