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Intelligent Performance Prediction: The Use Case of a Hadoop Cluster
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-89856-6_19openalex-snapshot
Profiling and Modeling Resource Usage of Virtualized Applications
inferredcites →https://doi.org/10.1007/s10922-020-09547-8openalex-snapshot
Optimized Sampling Strategies to Model the Performance of Virtualized Network Functions
inferredcites →https://doi.org/10.1016/j.comnet.2020.107693openalex-snapshot
Characterization and analysis of cloud-to-user latency: The case of Azure and AWS
inferredcites →https://doi.org/10.1109/bigdata.2017.8257924openalex-snapshot
A decision tree based approach towards adaptive modeling of big data applications
inferredcites →https://doi.org/10.1109/cloudnet.2018.8549333openalex-snapshot
NFV-Inspector: A Systematic Approach to Profile and Analyze Virtual Network Functions
inferredcites →https://doi.org/10.1109/cluster.2016.63openalex-snapshot
Active Learning in Performance Analysis
inferredcites →https://doi.org/10.1109/ewsdn.2016.9openalex-snapshot
Understand Your Chains: Towards Performance Profile-Based Network Service Management
inferredcites →https://doi.org/10.1109/ic2e.2015.27openalex-snapshot
PANIC: Modeling Application Performance over Virtualized Resources
inferredcites →https://doi.org/10.1109/itc.2014.6932978openalex-snapshot
Unified representation of monitoring information across federated cloud infrastructures
inferredcites →https://doi.org/10.1109/mcom.2017.1700127openalex-snapshot
Take Your VNF to the Gym: A Testing Framework for Automated NFV Performance Benchmarking
inferredcites →https://doi.org/10.1109/netsoft48620.2020.9165348openalex-snapshot
Machine Learning for Dynamic Resource Allocation in Network Function Virtualization
inferredcites →https://doi.org/10.1109/nfv-sdn.2015.7387412openalex-snapshot
NFV-VITAL: A framework for characterizing the performance of virtual network functions
inferredcites →https://doi.org/10.1109/nfv-sdn.2017.8169826openalex-snapshot
Profile your chains, not functions: Automated network service profiling in DevOps environments
inferredcites →https://doi.org/10.1109/tnsm.2018.2867827openalex-snapshot
z-TORCH: An Automated NFV Orchestration and Monitoring Solution
inferredcites →https://doi.org/10.1109/tnsm.2019.2943779openalex-snapshot
Profile-Based Resource Allocation for Virtualized Network Functions
inferredcites →https://doi.org/10.5281/zenodo.2620946openalex-snapshot
Scalable Monitoring for Multiple Virtualized Infrastructures for 5G Services
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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AMORA: An Advanced Malleable and Operational Framework for Performance Prediction of Big Data Systems
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A User-Centric Perspective of 6G Networks: A Survey
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Exploiting Machine Learning for the Performance Analysis of a Mobile Hotspot with a Call Admission Control Mechanism
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Enhancing Reliability in 6G Networks Based on User-Driven AI
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Machine Learning Aided Performance Estimation in Single Retry/Threshold Loss Models
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Machine Learning Resource Optimization Enabled by Cross Layer Monitoring
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Multi-Level Service Performance Forecasting via Spatiotemporal Graph Neural Networks
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Automate: Automatic Anomaly Detection and Root Cause Analysis Framework for Hadoop
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An Open-Source Framework and Dataset for Multi-Layer Monitoring and Proactive Scaling of 6G Video Streaming
inferred← citeshttps://doi.org/10.1109/tmlcn.2023.3294876openalex-snapshot
Autonomous Intelligent VNF Profiling for Future Intelligent Network Orchestration
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ML-Based Traffic Classification in an SDN-Enabled Cloud Environment
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Addressing ZSM Security Issues with Blockchain Technology
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A Link-Layer Virtual Networking Solution for Cloud-Native Network Function Virtualisation Ecosystems: L2S-M
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Fifty Years of Fixed Optical Networks Evolution: A Survey of Architectural and Technological Developments in a Layered Approach
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Research of the methods of creating content aggregation systems
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