Self-adaptive resource allocation for cloud-based software services based on iterative QoS prediction model

X Chen, H Wang, Y Ma, X Zheng, L Guo - Future Generation Computer …, 2020 - Elsevier
Emerging cloud-based software services have proposed request for self-adaptive resource
allocation that provides to dynamically adjust resources on demand. Traditional self …

Self-adaptive resource allocation for cloud-based software services based on progressive QoS prediction model

X Chen, J Lin, Y Ma, B Lin, H Wang… - Science China …, 2019 - search.proquest.com
Dear editor, Self-adaptation is a promising approach to allocate resources for cloud-based
software services [1, 2]. Traditional self-adaptive resource-allocation methods are rule …

Resource allocation for cloud-based software services using prediction-enabled feedback control with reinforcement learning

X Chen, F Zhu, Z Chen, G Min… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
With time-varying workloads and service requests, cloud-based software services
necessitate adaptive resource allocation for guaranteeing Quality-of-Service (QoS) and …

Self-adaptive and online qos modeling for cloud-based software services

T Chen, R Bahsoon - IEEE Transactions on Software …, 2016 - ieeexplore.ieee.org
In the presence of scale, dynamism, uncertainty and elasticity, cloud software engineers
faces several challenges when modeling Quality of Service (QoS) for cloud-based software …

Resource allocation with workload-time windows for cloud-based software services: a deep reinforcement learning approach

X Chen, L Yang, Z Chen, G Min… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
As the workloads and service requests in cloud computing environments change constantly,
cloud-based software services need to adaptively allocate resources for ensuring the Quality …

Survey on prediction models of applications for resources provisioning in cloud

M Amiri, L Mohammad-Khanli - Journal of Network and Computer …, 2017 - Elsevier
According to the dynamic nature of cloud and the rapid growth of the resources demand in it,
the resource provisioning is one of the challenging problems in the cloud environment. The …

Predicting cloud resource utilization

M Borkowski, S Schulte, C Hochreiner - Proceedings of the 9th …, 2016 - dl.acm.org
A major challenge in Cloud computing is resource provisioning for computational tasks. Not
surprisingly, previous work has established a number of solutions to provide Cloud …

Workload prediction using ARIMA model and its impact on cloud applications' QoS

RN Calheiros, E Masoumi, R Ranjan… - IEEE transactions on …, 2014 - ieeexplore.ieee.org
As companies shift from desktop applications to cloud-based software as a service (SaaS)
applications deployed on public clouds, the competition for end-users by cloud providers …

QoS ranking prediction for cloud services

Z Zheng, X Wu, Y Zhang, MR Lyu… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Cloud computing is becoming popular. Building high-quality cloud applications is a critical
research problem. QoS rankings provide valuable information for making optimal cloud …

Efficient resources provisioning based on load forecasting in cloud

R Hu, J Jiang, G Liu, L Wang - The Scientific World Journal, 2014 - Wiley Online Library
Cloud providers should ensure QoS while maximizing resources utilization. One optimal
strategy is to timely allocate resources in a fine‐grained mode according to application's …