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Cost-Effective and Energy-Aware Resource Allocation in Cloud Data Centers

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.4123openalex-snapshot
A survey on load balancing algorithms for virtual machines placement in cloud computing
inferredcites →https://doi.org/10.1002/cpe.4970openalex-snapshot
A modified PSO algorithm for task scheduling optimization in cloud computing
inferredcites →https://doi.org/10.1007/978-3-030-16339-6openalex-snapshot
New Advancements in Swarm Algorithms: Operators and Applications
inferredcites →https://doi.org/10.1007/s00521-017-2988-6openalex-snapshot
Feature selection via a novel chaotic crow search algorithm
inferredcites →https://doi.org/10.1007/s00521-018-3343-2openalex-snapshot
Chaotic grasshopper optimization algorithm for global optimization
inferredcites →https://doi.org/10.1007/s10462-020-09903-9openalex-snapshot
Virtual machine placement in cloud data centers using a hybrid multi-verse optimization algorithm
inferredcites →https://doi.org/10.1007/s10586-018-1769-zopenalex-snapshot
An improved Lévy based whale optimization algorithm for bandwidth-efficient virtual machine placement in cloud computing environment
inferredcites →https://doi.org/10.1007/s10586-018-2360-3openalex-snapshot
Intelligent Bézier curve-based path planning model using Chaotic Particle Swarm Optimization algorithm
inferredcites →https://doi.org/10.1007/s10586-020-03187-yopenalex-snapshot
Power efficient virtual machine placement in cloud data centers with a discrete and chaotic hybrid optimization algorithm
inferredcites →https://doi.org/10.1007/s10586-020-03205-zopenalex-snapshot
A hybrid multi-objective metaheuristic optimization algorithm for scientific workflow scheduling
inferredcites →https://doi.org/10.1007/s11227-017-2016-8openalex-snapshot
A dynamic VM consolidation technique for QoS and energy consumption in cloud environment
inferredcites →https://doi.org/10.1007/s12065-020-00479-5openalex-snapshot
Improved chaotic binary grey wolf optimization algorithm for workflow scheduling in green cloud computing
inferredcites →https://doi.org/10.1007/s13042-019-00979-6openalex-snapshot
A hybrid optimization approach based on clustering and chaotic sequences
inferredcites →https://doi.org/10.1016/j.amc.2015.11.001openalex-snapshot
A hybrid PSO-GA algorithm for constrained optimization problems
inferredcites →https://doi.org/10.1016/j.asoc.2019.106039openalex-snapshot
Side-Blotched Lizard Algorithm: A polymorphic population approach
inferredcites →https://doi.org/10.1016/j.energy.2017.10.052openalex-snapshot
A novel TVAC-PSO based mutation strategies algorithm for generation scheduling of pumped storage hydrothermal system incorporating solar units
inferredcites →https://doi.org/10.1016/j.eswa.2020.113719openalex-snapshot
A whale optimization system for energy-efficient container placement in data centers
inferredcites →https://doi.org/10.1016/j.future.2018.11.010openalex-snapshot
Profile-based power-aware workflow scheduling framework for energy-efficient data centers
inferredcites →https://doi.org/10.1016/j.jpdc.2019.12.014openalex-snapshot
Utilization-prediction-aware virtual machine consolidation approach for energy-efficient cloud data centers
inferredcites →https://doi.org/10.1080/0952813x.2015.1020519openalex-snapshot
Dynamic VMs placement for energy efficiency by PSO in cloud computing
inferredcites →https://doi.org/10.1109/access.2018.2872750openalex-snapshot
Adaptive Energy-Aware Algorithms for Minimizing Energy Consumption and SLA Violation in Cloud Computing
inferredcites →https://doi.org/10.1109/access.2019.2905961openalex-snapshot
Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control via Chaotic Atom Search Optimization Algorithm
inferredcites →https://doi.org/10.1109/access.2019.2912722openalex-snapshot
Multi-Objective VM Consolidation Based on Thresholds and Ant Colony System in Cloud Computing
inferredcites →https://doi.org/10.1109/cict.2015.35openalex-snapshot
A PSO Based VM Resource Scheduling Model for Cloud Computing
inferredcites →https://doi.org/10.1109/prdc.2017.12openalex-snapshot
On Dependability, Cost and Security Trade-Off in Cloud Data Centers
inferredcites →https://doi.org/10.1109/tsc.2020.2965106openalex-snapshot
Energy-Aware Cloud Workflow Applications Scheduling With Geo-Distributed Data
inferredcites →https://doi.org/10.1177/1550147718793799openalex-snapshot
An efficient load balancing algorithm for virtual machine allocation based on ant colony optimization
inferredcites →https://doi.org/10.32604/iasc.2022.024052openalex-snapshot
Multi-Objective Optimization of Energy Aware Virtual Machine Placement in Cloud Data Center
inferredcites →https://doi.org/10.3390/electronics8020218openalex-snapshot
An Enhanced Multi-Objective Gray Wolf Optimization for Virtual Machine Placement in Cloud Data Centers
inferredcites →https://doi.org/10.3390/su11216030openalex-snapshot
An Efficient Representation Using Harmony Search for Solving the Virtual Machine Consolidation
inferredcites →https://doi.org/10.4018/ijamc.298312openalex-snapshot
Resource-Efficient VM Placement in the Cloud Environment Using Improved Particle Swarm Optimization
inferredcites →https://doi.org/10.5755/j01.itc.48.4.23062openalex-snapshot
The Placement of Virtual Machines Under Optimal Conditions in Cloud Datacenter

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-35173-9_17openalex-snapshot
Dynamic Resources Optimization in Cloud Data Centres Using Artificial Intelligence
inferred← citeshttps://doi.org/10.1007/s10846-024-02058-7openalex-snapshot
Performance Guarantee for Autonomous Robotic Missions using Resource Management: The PANORAMA Approach
inferred← citeshttps://doi.org/10.1016/j.enbuild.2025.115454openalex-snapshot
Optimizing energy consumption in centralized and distributed cloud architectures with a comparative study to increase stability and efficiency
inferred← citeshttps://doi.org/10.1016/j.procs.2024.04.250openalex-snapshot
Deep CNN and LSTM Approaches for Efficient Workload Prediction in Cloud Environment
inferred← citeshttps://doi.org/10.1080/24751839.2024.2436228openalex-snapshot
Energy-efficient joint performance optimization of cloud data centre users/operator using memetic algorithm
inferred← citeshttps://doi.org/10.1109/ccge67142.2026.11581781openalex-snapshot
Energy-Aware Load Balancing in Cloud Data Centres: A Carbon-Efficient Approach
inferred← citeshttps://doi.org/10.1109/ictas64866.2025.11155503openalex-snapshot
Comparative Experimental Study of Energy and Carbon-Aware Metaheuristic Algorithms for Virtual Machine Placement in Cloud Data Centers
inferred← citeshttps://doi.org/10.32604/cmc.2024.054102openalex-snapshot
AMAD: Adaptive Mapping Approach for Datacenter Networks, an Energy-Friend Resource Allocation Framework via Repeated Leader Follower Game
inferred← citeshttps://doi.org/10.32604/cmc.2025.064880openalex-snapshot
SDVformer: A Resource Prediction Method for Cloud Computing Systems
inferred← citeshttps://doi.org/10.3390/computers14070280openalex-snapshot
Carbon-Aware, Energy-Efficient, and SLA-Compliant Virtual Machine Placement in Cloud Data Centers Using Deep Q-Networks and Agglomerative Clustering
inferred← citeshttps://doi.org/10.3390/electronics13173542openalex-snapshot
Towards Sustainability and Energy Efficiency Using Data Analytics for HPC Data Center
inferred← citeshttps://doi.org/10.58414/scientifictemper.2023.14.4.41openalex-snapshot
Cost-based resource allocation method for efficient allocation of resources in a heterogeneous cloud environment
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