On the public citation graph

Performance evaluation of elephant flow predictors in data center networking

https://doi.org/10.1016/j.future.2019.09.031

0 signed · 52 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

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

inferredcites →https://doi.org/10.1007/978-3-319-11298-5openalex-snapshot

Adaptive and Intelligent Systems

inferredcites →https://doi.org/10.1007/978-3-319-11298-5_16openalex-snapshot

Physical Time Series Prediction Using Dynamic Neural Network Inspired by the Immune Algorithm

inferredcites →https://doi.org/10.1007/978-3-319-43252-6openalex-snapshot

Elements of Nonlinear Time Series Analysis and Forecasting

inferredcites →https://doi.org/10.1007/s10922-016-9392-xopenalex-snapshot

Performance Analysis of Network Traffic Predictors in the Cloud

inferredcites →https://doi.org/10.1007/s10922-018-9456-1openalex-snapshot

Dynamic Bandwidth Allocation for Video Traffic Using FARIMA-Based Forecasting Models

inferredcites →https://doi.org/10.1016/j.comnet.2004.11.026openalex-snapshot

Self-similarity and long range dependence on the internet: a second look at the evidence, origins and implications

inferredcites →https://doi.org/10.1016/j.comnet.2017.04.018openalex-snapshot

A stable matching based elephant flow scheduling algorithm in data center networks

inferredcites →https://doi.org/10.1016/j.comnet.2017.04.047openalex-snapshot

Adaptive data center activation with user request prediction

inferredcites →https://doi.org/10.1016/j.cpc.2009.05.004openalex-snapshot

A research using hybrid RBF/Elman neural networks for intrusion detection system secure model

inferredcites →https://doi.org/10.1016/j.egypro.2011.12.895openalex-snapshot

Using Recurrent Artificial Neural Networks to Forecast Household Electricity Consumption

inferredcites →https://doi.org/10.1016/j.eswa.2014.12.003openalex-snapshot

Recurrent neural network and a hybrid model for prediction of stock returns

inferredcites →https://doi.org/10.1016/j.eswa.2015.06.029openalex-snapshot

Comparing forecasting approaches for Internet traffic

inferredcites →https://doi.org/10.1016/j.eswa.2019.03.046openalex-snapshot

Forecasting volatility with a stacked model based on a hybridized Artificial Neural Network

inferredcites →https://doi.org/10.1016/j.ijforecast.2015.12.003openalex-snapshot

A new metric of absolute percentage error for intermittent demand forecasts

inferredcites →https://doi.org/10.1016/j.neucom.2010.06.004openalex-snapshot

Chaotic time series prediction with residual analysis method using hybrid Elman–NARX neural networks

inferredcites →https://doi.org/10.1080/00949655.2010.520163openalex-snapshot

Comparisons of various types of normality tests

inferredcites →https://doi.org/10.1109/access.2019.2893412openalex-snapshot

Improving Multipath Routing of TCP Flows by Network Exploration

inferredcites →https://doi.org/10.1109/ccis.2012.6664250openalex-snapshot

Modified Elman neural network and its application to network traffic prediction

inferredcites →https://doi.org/10.1109/cloudcom-asia.2013.44openalex-snapshot

Application-Aware Resource Allocation for SDN-based Cloud Datacenters

inferredcites →https://doi.org/10.1109/icnp.2016.7785324openalex-snapshot

Online flow size prediction for improved network routing

inferredcites →https://doi.org/10.1109/noms.2008.4575191openalex-snapshot

GARCH — non-linear time series model for traffic modeling and prediction

inferredcites →https://doi.org/10.1109/sai.2016.7555965openalex-snapshot

Performance prediction of software defined network using an artificial neural network

inferredcites →https://doi.org/10.1109/scc.2012.47openalex-snapshot

RPPS: A Novel Resource Prediction and Provisioning Scheme in Cloud Data Center

inferredcites →https://doi.org/10.1109/tifs.2015.2422261openalex-snapshot

Predicting Cyber Attack Rates With Extreme Values

inferredcites →https://doi.org/10.1109/tnsm.2016.2588500openalex-snapshot

Predicting Inter-Data-Center Network Traffic Using Elephant Flow and Sublink Information

inferredcites →https://doi.org/10.1109/tpds.2018.2858815openalex-snapshot

Luopan: Sampling-Based Load Balancing in Data Center Networks

inferredcites →https://doi.org/10.1145/1672308.1672325openalex-snapshot

Understanding data center traffic characteristics

inferredcites →https://doi.org/10.1145/2785956openalex-snapshot

Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication

inferredcites →https://doi.org/10.1145/2785956.2787472openalex-snapshot

Inside the Social Network's (Datacenter) Network

inferredcites →https://doi.org/10.1145/2785956.2787508openalex-snapshot

Jupiter Rising

inferredcites →https://doi.org/10.1155/2016/4742515openalex-snapshot

Financial Time Series Prediction Using Elman Recurrent Random Neural Networks

inferredcites →https://doi.org/10.1162/neco.1997.9.8.1735openalex-snapshot

Long Short-Term Memory

inferredcites →https://doi.org/10.1207/s15516709cog1402_1openalex-snapshot

Finding Structure in Time

inferredcites →https://doi.org/10.18637/jss.v046.i07openalex-snapshot

Neural Networks in R Using the Stuttgart Neural Network Simulator: RSNNS

inferredcites →https://doi.org/10.21437/interspeech.2014-80openalex-snapshot

Long short-term memory recurrent neural network architectures for large scale acoustic modeling

inferredcites →https://doi.org/10.2307/1269015openalex-snapshot

Time Series Analysis: Univariate and Multivariate Methods

inferredcites →https://doi.org/10.48550/arxiv.1605.08695openalex-snapshot

TensorFlow: A system for large-scale machine learning

inferredcites →https://doi.org/10.5555/1855711.1855730openalex-snapshot

Hedera: dynamic flow scheduling for data center networks

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4824673openalex-extracted

Small Sample Travel Feature Inference Based on Multi-Clustering Topic Model Over Internet of Things

inferred← citeshttps://doi.org/10.1007/978-3-031-49333-1_1openalex-snapshot

A Comparative Analysis of Time Series Prediction Techniques a Systematic Literature Review (SLR)

inferred← citeshttps://doi.org/10.1007/978-981-19-7395-6_1openalex-snapshot

Introduction

inferred← citeshttps://doi.org/10.1007/978-981-19-7395-6_3openalex-snapshot

Machine Learning Empowered Intelligent Data Center Networking

inferred← citeshttps://doi.org/10.1007/s12065-023-00902-7openalex-snapshot

Elephant flow detection intelligence for software-defined networks: a survey on current techniques and future direction

inferred← citeshttps://doi.org/10.1016/j.future.2024.107525openalex-snapshot

Bus travel feature inference with small samples based on multi-clustering topic model over Internet of Things

inferred← citeshttps://doi.org/10.1016/j.jnca.2020.102766openalex-snapshot

Fine-grained flow classification using deep learning for software defined data center networks

inferred← citeshttps://doi.org/10.1016/j.jpdc.2020.07.008openalex-snapshot

Intelligently modeling, detecting, and scheduling elephant flows in software defined energy cloud: A survey

inferred← citeshttps://doi.org/10.1109/bmsb62888.2024.10608371openalex-snapshot

Towards Rapid Elephant Flow Dection Using Time Series Prediction for OTT Streaming

inferred← citeshttps://doi.org/10.1109/tnsm.2021.3064974openalex-snapshot

Flow-Aware Forwarding in SDN Datacenters Using a Knapsack-PSO-Based Solution

inferred← citeshttps://doi.org/10.1364/jocn.554450openalex-snapshot

Optimal placement of multi-wavelength integrated tunable transmitters in reconfigurable optical data center interconnection networks with multi-hop routing

inferred← citeshttps://doi.org/10.18280/ria.360419openalex-snapshot

Network Data Center Traffic Predictive Model Analysis Based on Machine Learning

inferred← citeshttps://doi.org/10.18488/76.v9i2.3065openalex-snapshot

Machine Learning Based Network Traffic Predictive Analysis

inferred← citeshttps://doi.org/10.3390/electronics14132663openalex-snapshot

An OpenFlow-Based Elephant-Flow Monitoring and Scheduling Strategy in SDN

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.