Comprehensive survey on energy-aware server consolidation techniques in cloud computing
The objective of cloud computing is to provide seamless services using virtualization
technology over the Internet to serve the Quality of Service (QoS)-driven end users …
technology over the Internet to serve the Quality of Service (QoS)-driven end users …
Recent advancement in VM task allocation system for cloud computing: review from 2015 to2021
Cloud computing is new technology that has considerably changed human life at different
aspect over the last decade. Especially after the COVID-19 pandemic, almost all life activity …
aspect over the last decade. Especially after the COVID-19 pandemic, almost all life activity …
Workload forecasting and energy state estimation in cloud data centres: ML-centric approach
Resource management in data centres continues to be a critical problem due to increased
infrastructure complexity and dynamic workload conditions. Workload and energy …
infrastructure complexity and dynamic workload conditions. Workload and energy …
MAG-D: A multivariate attention network based approach for cloud workload forecasting
The Coronavirus pandemic and the work-from-home have drastically changed the working
style and forced us to rapidly shift towards cloud-based platforms & services for seamless …
style and forced us to rapidly shift towards cloud-based platforms & services for seamless …
PAPSO: A power-aware VM placement technique based on particle swarm optimization
With the widespread usage of cloud computing to benefit from its services, cloud service
providers have invested in constructing large scale data centers. Consequently, a …
providers have invested in constructing large scale data centers. Consequently, a …
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 …
Enhanced resource allocation in distributed cloud using fuzzy meta-heuristics optimization
Cloud computing is a modern technology that has become popular today. A large number of
requests has made it essential to propose a resources allocation framework for arriving …
requests has made it essential to propose a resources allocation framework for arriving …
Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism
J Dogani, F Khunjush, MR Mahmoudi… - The Journal of …, 2023 - Springer
The resources required to service cloud computing applications are dynamic and fluctuate
over time in response to variations in the volume of incoming requests. Proactive …
over time in response to variations in the volume of incoming requests. Proactive …
[HTML][HTML] Workflow performance prediction based on graph structure aware deep attention neural network
With the rapid growth of cloud computing, efficient operational optimization and resource
scheduling of complex cloud business processes rely on real-time and accurate …
scheduling of complex cloud business processes rely on real-time and accurate …
Time series forecasting using facebook prophet for cloud resource management
M Daraghmeh, A Agarwal, R Manzano… - 2021 IEEE …, 2021 - ieeexplore.ieee.org
The heterogeneous nature of workloads running in cloud environments makes future
resource usage prediction a complicated problem. Virtual machines can be described in five …
resource usage prediction a complicated problem. Virtual machines can be described in five …