Deep reinforcement learning-based algorithms selectors for the resource scheduling in hierarchical cloud computing
Cloud computing environment is becoming increasingly complex due to its large-scale
information growth and increasing heterogeneity of computing resources. Hierarchical …
information growth and increasing heterogeneity of computing resources. Hierarchical …
Dynamic heterogeneity-aware resource provisioning in the cloud
Data centers consume tremendous amounts of energy in terms of power distribution and
cooling. Dynamic capacity provisioning is a promising approach for reducing energy …
cooling. Dynamic capacity provisioning is a promising approach for reducing energy …
A self-adaptive approach for managing applications and harnessing renewable energy for sustainable cloud computing
Rapid adoption of Cloud computing for hosting services and its success is primarily
attributed to its attractive features such as elasticity, availability and pay-as-you-go pricing …
attributed to its attractive features such as elasticity, availability and pay-as-you-go pricing …
SOCCER: self-optimization of energy-efficient cloud resources
Cloud data centers often schedule heterogeneous workloads without considering energy
consumption and carbon emission aspects. Tremendous amount of energy consumption …
consumption and carbon emission aspects. Tremendous amount of energy consumption …
Toward energy-efficient cloud computing: a survey of dynamic power management and heuristics-based optimization techniques
Cloud computing is the most prominent computing paradigm in the present era of
information technology. However, data centers needed for hosting cloud services demand …
information technology. However, data centers needed for hosting cloud services demand …
Energy consumption and performance optimized task scheduling in distributed data centers
A growing number of organizations are hosting their software applications in distributed data
centers (DCs) in the cloud, for faster response time and higher energy efficiency. The …
centers (DCs) in the cloud, for faster response time and higher energy efficiency. The …
Thermal prediction for efficient energy management of clouds using machine learning
S Ilager, K Ramamohanarao… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Thermal management in the hyper-scale cloud data centers is a critical problem. Increased
host temperature creates hotspots which significantly increases cooling cost and affects …
host temperature creates hotspots which significantly increases cooling cost and affects …
Energy-efficient scheduling of HPC applications in cloud computing environments
The use of High Performance Computing (HPC) in commercial and consumer IT
applications is becoming popular. They need the ability to gain rapid and scalable access to …
applications is becoming popular. They need the ability to gain rapid and scalable access to …
[HTML][HTML] Reinforcement learning based methodology for energy-efficient resource allocation in cloud data centers
T Thein, MM Myo, S Parvin, A Gawanmeh - Journal of King Saud University …, 2020 - Elsevier
Abstract Energy-efficient Cloud Infrastructure Resource Allocation Framework is getting
popularity as it is paying effective attention to cloud data management with a view to achieve …
popularity as it is paying effective attention to cloud data management with a view to achieve …
An artificial neural network based approach for energy efficient task scheduling in cloud data centers
M Sharma, R Garg - Sustainable Computing: Informatics and Systems, 2020 - Elsevier
Energy efficiency is considered as a crucial objective in cloud data centers as it reduces cost
and meets the standard set in green computing. Task scheduling an important problem …
and meets the standard set in green computing. Task scheduling an important problem …