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Resource Allocation in the Cloud: From Simulation to Experimental Validation
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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/spe.995openalex-snapshot
CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms
inferredcites →https://doi.org/10.1007/s10922-014-9307-7openalex-snapshot
Resource Management in Clouds: Survey and Research Challenges
inferredcites →https://doi.org/10.1109/ccgrid.2015.87openalex-snapshot
CloudSimSDN: Modeling and Simulation of Software-Defined Cloud Data Centers
inferredcites →https://doi.org/10.1109/cloud.2015.100openalex-snapshot
Sharing-Aware Online Algorithms for Virtual Machine Packing in Cloud Environments
inferredcites →https://doi.org/10.1109/cloud.2015.104openalex-snapshot
Virtual Machine Consolidation with Usage Prediction for Energy-Efficient Cloud Data Centers
inferredcites →https://doi.org/10.1109/cloud.2015.105openalex-snapshot
Cool Cloud: A Practical Dynamic Virtual Machine Placement Framework for Energy Aware Data Centers
inferredcites →https://doi.org/10.1109/cnsm.2015.7367334openalex-snapshot
Design of a hierarchical software-defined storage system for data-intensive multi-tenant cloud applications
inferredcites →https://doi.org/10.1109/noms.2014.6838230openalex-snapshot
Hierarchical network-aware placement of service oriented applications in Clouds
inferredcites →https://doi.org/10.1109/noms.2016.7502951openalex-snapshot
A simulation tool for evaluating the constraint-based allocation of storage resources for multi-tenant cloud applications
inferredcites →https://doi.org/10.1109/tsc.2017.2648791openalex-snapshot
Virtual Machine Consolidation with Multiple Usage Prediction for Energy-Efficient Cloud Data Centers
inferredcites →https://doi.org/10.29268/stsc.2014.2.4.3openalex-snapshot
AN ANALYSIS AND COMPARISON OF CLOUD DATA CENTER ENERGY-EFFICIENT RESOURCE MANAGEMENT TECHNOLOGY
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/978-3-030-34139-8_13openalex-snapshot
Trust-Aware Resource Provisioning for Meteorological Workflow in Cloud
inferred← citeshttps://doi.org/10.1007/978-3-030-71756-8_18openalex-snapshot
Autonomic Resource Management in a Cloud-Based Infrastructure Environment
inferred← citeshttps://doi.org/10.1007/978-981-15-7130-5_60openalex-snapshot
Cloud Load Balancing Using Optimization Techniques
inferred← citeshttps://doi.org/10.1007/978-981-287-251-7_46openalex-snapshot
Cloud Empowered Real-Time Virtual 3 Manufacturing Systems
inferred← citeshttps://doi.org/10.1007/978-981-4585-87-3_46-1openalex-snapshot
Cloud Empowered Real-Time Virtual Manufacturing Systems
inferred← citeshttps://doi.org/10.1007/978-981-97-0180-3_17openalex-snapshot
Single Value Neutrosophic Virtual Machine Resources Optimization
inferred← citeshttps://doi.org/10.1007/s12065-020-00436-2openalex-snapshot
Non-dominated Sorting Genetic Algorithm (NSGA-III) for effective resource allocation in cloud
inferred← citeshttps://doi.org/10.1007/s12652-021-03380-wopenalex-snapshot
Emerging computational challenges in cloud computing and RTEAH algorithm based solution
inferred← citeshttps://doi.org/10.1016/j.jnca.2020.102942openalex-snapshot
A GRU deep learning system against attacks in software defined networks
inferred← citeshttps://doi.org/10.1109/access.2025.3592211openalex-snapshot
GLOPS: A Hybrid Approach for Enhanced Scheduling in Cloud Computing Environments via Machine Learning-Based Process Prediction
inferred← citeshttps://doi.org/10.1109/cloudtech.2018.8713344openalex-snapshot
Resource Allocation Optimization for Hierarchical Cloud Data Centers
inferred← citeshttps://doi.org/10.1109/icicas48597.2019.00112openalex-snapshot
Task-Oriented Service Allocation in Cloud Computing
inferred← citeshttps://doi.org/10.1109/icssas57918.2023.10331674openalex-snapshot
QoS Based Virtual Machine Consolidation for Energy Efficient and Economic Utilization of Cloud Resources
inferred← citeshttps://doi.org/10.1109/smartiot.2019.00074openalex-snapshot
Deep Reinforcement Learning Based Offloading Scheme for Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/tii.2019.2959258openalex-snapshot
Dynamic Resource Provisioning With Fault Tolerance for Data-Intensive Meteorological Workflows in Cloud
inferred← citeshttps://doi.org/10.3390/fi17050200openalex-snapshot
Implementation and Performance Analysis of an Industrial Robot’s Vision System Based on Cloud Vision Services
inferred← citeshttps://doi.org/10.3390/s20082269openalex-snapshot
Vehicle Cooperative Network Model Based on Hypergraph in Vehicular Fog Computing
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