Adaptive and efficient resource allocation in cloud datacenters using actor-critic deep reinforcement learning
The ever-expanding scale of cloud datacenters necessitates automated resource
provisioning to best meet the requirements of low latency and high energy-efficiency …
provisioning to best meet the requirements of low latency and high energy-efficiency …
Learning-based resource allocation in cloud data center using advantage actor-critic
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 …
cloud data center is faced with great challenges in dynamics and complexity. Although there …
Multi-dimensional resource allocation in distributed data centers using deep reinforcement learning
W Wei, H Gu, K Wang, J Li, X Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of edge-cloud computing technologies, distributed data centers (DCs)
have been extensively deployed across the global Internet. Since different …
have been extensively deployed across the global Internet. Since different …
Efficient compute-intensive job allocation in data centers via deep reinforcement learning
Reducing the energy consumption of the servers in a data center via proper job allocation is
desirable. Existing advanced job allocation algorithms, based on constrained optimization …
desirable. Existing advanced job allocation algorithms, based on constrained optimization …
Toward efficient compute-intensive job allocation for green data centers: A deep reinforcement learning approach
Reducing the energy consumption of the servers in a data center via proper job allocation is
desirable. Existing advanced job allocation algorithms, based on constrained optimization …
desirable. Existing advanced job allocation algorithms, based on constrained optimization …
Adaptive DRL-based task scheduling for energy-efficient cloud computing
Intelligent task scheduling solutions are highly demanded in the operation of complex cloud
data centers so that resources can be utilized in an energy-efficient way while still ensuring …
data centers so that resources can be utilized in an energy-efficient way while still ensuring …
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 …
number of user's service request and increasing network infrastructure complexity. Load …
Energy-efficient VM scheduling based on deep reinforcement learning
B Wang, F Liu, W Lin - Future Generation Computer Systems, 2021 - Elsevier
Achieving data center resource optimization and QoS guarantee driven by high energy
efficiency has become a research hotspot. However, QoS information directly sampled from …
efficiency has become a research hotspot. However, QoS information directly sampled from …
Energy-aware systems for real-time job scheduling in cloud data centers: A deep reinforcement learning approach
With the advantages such as high-performance, low-maintenance, and reliability, more and
more companies are moving their computing infrastructures to the cloud. In the meantime …
more companies are moving their computing infrastructures to the cloud. In the meantime …
Deep reinforcement learning-based methods for resource scheduling in cloud computing: A review and future directions
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 …
dynamic, reliable and elastic computing services. Efficient scheduling of resources or …