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 …

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 …

Pso-ga-based resource allocation strategy for cloud-based software services with workload-time windows

Z Chen, L Yang, Y Huang, X Chen, X Zheng… - IEEE …, 2020 - ieeexplore.ieee.org
Cloud-based software services necessitate adaptive resource allocation with the promise of
dynamic resource adjustment for guaranteeing the Quality-of-Service (QoS) and reducing …

Adaptive and efficient resource allocation in cloud datacenters using actor-critic deep reinforcement learning

Z Chen, J Hu, G Min, C Luo… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The ever-expanding scale of cloud datacenters necessitates automated resource
provisioning to best meet the requirements of low latency and high energy-efficiency …

Self‐learning and self‐adaptive resource allocation for cloud‐based software services

X Chen, J Lin, B Lin, T Xiang, Y Zhang… - Concurrency and …, 2019 - Wiley Online Library
In the presence of scale, dynamism, uncertainty, and elasticity, cloud engineers face several
challenges when allocating resources for cloud‐based software services. They should …

Dynamic provisioning of resources based on load balancing and service broker policy in cloud computing

A Jyoti, M Shrimali - Cluster Computing, 2020 - Springer
Dynamic resource allocation is the key objective of the paper motivated due to a large
number of user's service request and increasing network infrastructure complexity. Load …

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 …

Resource management in cloud computing using machine learning: A survey

S Goodarzy, M Nazari, R Han, E Keller… - 2020 19th IEEE …, 2020 - ieeexplore.ieee.org
Efficient resource management in cloud computing research is a crucial problem because
resource over-provisioning increases costs for cloud providers and cloud customers; …

Learning-based resource allocation in cloud data center using advantage actor-critic

Z Chen, J Hu, G Min - ICC 2019-2019 IEEE international …, 2019 - ieeexplore.ieee.org
Due to the ever-changing system states and various user demands, resource allocation in
cloud data center is faced with great challenges in dynamics and complexity. Although there …

Resource offload consolidation based on deep-reinforcement learning approach in cyber-physical systems

MS Mekala, A Jolfaei, G Srivastava… - … on Emerging Topics …, 2020 - ieeexplore.ieee.org
In cyber-physical systems, it is advantageous to leverage cloud with edge resources to
distribute the workload for processing and computing user data at the point of generation …