An efficient energy-aware and service quality improvement strategy applied in cloud computing

J Wang, J Yu, Y Song, X He, Y Song - Cluster Computing, 2023 - Springer
Reducing the energy consumption while guaranteeing the quality of service (QoS) in the
cloud data centers is challenge task for cloud providers. Dynamic virtual machine (VM) …

Online RL-based cloud autoscaling for scientific workflows: Evaluation of Q-Learning and SARSA

Y Garí, E Pacini, L Robino, C Mateos… - Future Generation …, 2024 - Elsevier
Q-Learning and SARSA are two well-known reinforcement learning (RL) algorithms that
have shown promising results in several application domains. However, their approach to …

EVMPCSA: efficient VM packing mechanism in cloud computing using chaotic social spider algorithm

S Mangalampalli, GR Karri, KV Rajkumar - Procedia Computer Science, 2023 - Elsevier
VM packing is one of prodigious challenge in cloud computing as it depends on the
incoming workload onto virtual resources. Workload in the cloud is highly dynamic and it is …

[HTML][HTML] ADT: Time series anomaly detection for cyber-physical systems via deep reinforcement learning

X Yang, E Howley, M Schukat - Computers & Security, 2024 - Elsevier
Cyber-physical systems (CPS) play a vital role in modern society across various sectors,
ranging from smart grid to water treatment, and their security has become one of the major …

E2SVM: Electricity-Efficient SLA-aware Virtual Machine Consolidation approach in cloud data centers

V Kumar, A Ali, P Mittal, I Aqeel, M Shuaib, S Alam… - Plos one, 2024 - journals.plos.org
Cloud data centers present a challenge to environmental sustainability because of their
significant energy consumption. Additionally, performance degradation resulting from …

Loads prediction and consolidation of virtual machines in cloud

H Wu, Y Chen, C Zhang, J Dong… - … Practice and Experience, 2023 - Wiley Online Library
Virtual machine (VM) consolidation is to assign a set of VMs requested by operators to the
physical machines (PMs) in the data centers so that certain cost, profit or performance …

Energy-aware service allocation: A crow search-based approach

CR Chowdhury, S Misra… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The allocation of services from the cloud to edge servers in the Industrial Internet of Things
(IIoT) emerges as a promising solution for providing time-critical services by shifting …

Intelligent Text Mining for Ontological Knowledge Graph Refinement and Patent Portfolio Analysis—Case Study of Net-Zero Data Center Innovation Management

AJC Trappey, GB Lin, LP Hung - Information, 2024 - mdpi.com
Ontological knowledge graph (OKG) is a well-formed visual representation that depicts
knowledge organization in formal elements (eg, entities and attributes) and their …

Power Aware Energy Efficient based Virtual Machine Migration Using Enhanced Pelican Remora Optimization in Cloud Center.

S Soma - International Journal of Intelligent Engineering & …, 2023 - search.ebscohost.com
Cloud computing technology is widely used in many industries to build a large-scale data
center. One of the main challenges in this technology is to minimize the energy utilization in …

Machine learning in 6G: the future of wireless communication

S Sarkar - 2022 6th International Conference on Intelligent …, 2022 - ieeexplore.ieee.org
The 6 th Generation of wireless communication, 6G, is the future of wireless communication
technology. 6G has the potential to support various pioneering applications. Post Covid-19 …