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Energy-Efficient Virtual Network Function Reconfiguration Strategy Based on Short-Term Resources Requirement Prediction

https://doi.org/10.3390/electronics10182287

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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.4471openalex-snapshot

Quantifying the impact of shutdown techniques for energy‐efficient data centers

inferredcites →https://doi.org/10.1007/s11227-021-03760-1openalex-snapshot

Comprehensive survey on energy-aware server consolidation techniques in cloud computing

inferredcites →https://doi.org/10.1016/j.cosrev.2020.100298openalex-snapshot

A comprehensive survey of service function chain provisioning approaches in SDN and NFV architecture

inferredcites →https://doi.org/10.1016/j.future.2011.04.017openalex-snapshot

Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing

inferredcites →https://doi.org/10.1109/access.2017.2685437openalex-snapshot

Migration Energy Aware Reconfigurations of Virtual Network Function Instances in NFV Architectures

inferredcites →https://doi.org/10.1109/access.2019.2915919openalex-snapshot

Virtualized Network Function Consolidation Based on Multiple Status Characteristics

inferredcites →https://doi.org/10.1109/access.2019.2935014openalex-snapshot

Virtual Network Function Migration Based on Dynamic Resource Requirements Prediction

inferredcites →https://doi.org/10.1109/icc.2016.7510679openalex-snapshot

Network function consolidation in service function chaining orchestration

inferredcites →https://doi.org/10.1109/jiot.2020.2970995openalex-snapshot

Energy-Efficient Provisioning for Service Function Chains to Support Delay-Sensitive Applications in Network Function Virtualization

inferredcites →https://doi.org/10.1109/netsoft.2019.8806687openalex-snapshot

Machine Learning-Based Method for Prediction of Virtual Network Function Resource Demands

inferredcites →https://doi.org/10.1109/services.2012.23openalex-snapshot

Costs of Virtual Machine Live Migration: A Survey

inferredcites →https://doi.org/10.1109/tccn.2020.3018157openalex-snapshot

Dynamic Resource Scaling for VNF Over Nonstationary Traffic: A Learning Approach

inferredcites →https://doi.org/10.1109/tnet.2017.2668470openalex-snapshot

An Approach for Service Function Chain Routing and Virtual Function Network Instance Migration in Network Function Virtualization Architectures

inferredcites →https://doi.org/10.1109/tpds.2020.3017001openalex-snapshot

Recent Advances of Resource Allocation in Network Function Virtualization

inferredcites →https://doi.org/10.1287/mnsc.13.9.723openalex-snapshot

A Branch and Bound Algorithm for the Knapsack Problem

What points at this work

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

inferred← citeshttps://doi.org/10.1007/s12083-024-01861-1openalex-snapshot

Reinforcement Q-learning enabled energy-efficient service function chain provisioning in multi-domain networks

inferred← citeshttps://doi.org/10.1016/j.compeleceng.2025.110085openalex-snapshot

Energy and performance-aware workflow scheduler using dynamic virtual network resource optimization under edge-cloud platform

inferred← citeshttps://doi.org/10.1109/iccworkshops67674.2025.11162423openalex-snapshot

Energy-Efficient Collaborative AI Service Migration and Resource Allocation Based on Traffic Prediction in 6G Networks

inferred← citeshttps://doi.org/10.1109/jiot.2024.3435084openalex-snapshot

Digital-Twin-Assisted VNF Migration Through Resource Prediction in SDN/NVF-Enabled IoT Networks

inferred← citeshttps://doi.org/10.1145/3840282openalex-snapshot

AI-Driven Reliable SFC Deployment: Challenges, Opportunities, and Perspectives

inferred← citeshttps://doi.org/10.3390/electronics11020209openalex-snapshot

Multi-Population Enhanced Slime Mould Algorithm and with Application to Postgraduate Employment Stability Prediction

inferred← citeshttps://doi.org/10.3390/electronics12122753openalex-snapshot

Virtual Network Function Migration Considering Load Balance and SFC Delay in 6G Mobile Edge Computing Networks

inferred← citeshttps://doi.org/10.3390/fi17040161openalex-snapshot

Enabling Green Cellular Networks: A Review and Proposal Leveraging Software-Defined Networking, Network Function Virtualization, and Cloud-Radio Access Network

inferred← citeshttps://doi.org/10.3390/s23063054openalex-snapshot

Dynamic Service Function Chain Deployment and Readjustment Method Based on Deep Reinforcement Learning

inferred← citeshttps://doi.org/10.5753/semish.2026.23842openalex-snapshot

Energy Consumption Estimation Model as a QoS-Aware Elasticity Support Mechanism for 5G Network Slicing

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