var text_string =" data augmentation traffic classification  data augmentation traffic classification  data augmentation traffic classification  data augmentation traffic classification  data augmentation traffic classification taming the elephants affordable flow length prediction the data plane taming the elephants affordable flow length prediction the data plane taming the elephants affordable flow length prediction the data plane taming the elephants affordable flow length prediction the data plane taming the elephants affordable flow length prediction the data plane  MEMENTO novel approach class incremental learning encrypted traffic  MEMENTO novel approach class incremental learning encrypted traffic  MEMENTO novel approach class incremental learning encrypted traffic  MEMENTO novel approach class incremental learning encrypted traffic  MEMENTO novel approach class incremental learning encrypted traffic  SPADA sparse approximate data structure representation data plane per flow monitoring  SPADA sparse approximate data structure representation data plane per flow monitoring  SPADA sparse approximate data structure representation data plane per flow monitoring change point detection WLANs with random AP forests change point detection WLANs with random AP forests change point detection WLANs with random AP forests toward generative data augmentation traffic classification toward generative data augmentation traffic classification toward generative data augmentation traffic classification memory efficient random forests FPGA SmartNICs memory efficient random forests FPGA SmartNICs memory efficient random forests FPGA SmartNICs tree based kendall’s τ maximization explainable unsupervised anomaly detection tree based kendall’s τ maximization explainable unsupervised anomaly detection tree based kendall’s τ maximization explainable unsupervised anomaly detection enlightening the darknets augmenting darknet visibility with active probes enlightening the darknets augmenting darknet visibility with active probes enlightening the darknets augmenting darknet visibility with active probes DarkVec incremental embeddings darknet traffic analysis DarkVec incremental embeddings darknet traffic analysis DarkVec incremental embeddings darknet traffic analysis lightweight efficient and explainable by design convolutional neural network internet traffic classification lightweight efficient and explainable by design convolutional neural network internet traffic classification lightweight efficient and explainable by design convolutional neural network internet traffic classification traffic classification with modifiable ruleset traffic classification with modifiable ruleset traffic classification with modifiable ruleset  it match! benchmark task affinity scores joint learning  it match! benchmark task affinity scores joint learning  it match! benchmark task affinity scores joint learning from design to deployment zero touch deep reinforcement learning WLANs from design to deployment zero touch deep reinforcement learning WLANs from design to deployment zero touch deep reinforcement learning WLANs identifying and locating change points time series data values identifying and locating change points time series data values identifying and locating change points time series data values data driven WLAN topology related KPIs query system & estimation method data driven WLAN topology related KPIs query system & estimation method data driven WLAN topology related KPIs query system & estimation method replicating contrastive learning and data augmentation traffic classification using flowpic input representation replicating contrastive learning and data augmentation traffic classification using flowpic input representation replicating contrastive learning and data augmentation traffic classification using flowpic input representation user aware WLAN transmit power control the wild user aware WLAN transmit power control the wild user aware WLAN transmit power control the wild benchmarking class incremental learning deep learning traffic classification benchmarking class incremental learning deep learning traffic classification benchmarking class incremental learning deep learning traffic classification how much is enough? study on diffusion times score based generative models how much is enough? study on diffusion times score based generative models how much is enough? study on diffusion times score based generative models meta learning fast model recommendation unsupervised multivariate time series anomaly detection meta learning fast model recommendation unsupervised multivariate time series anomaly detection meta learning fast model recommendation unsupervised multivariate time series anomaly detection many or few samples? comparing transfer contrastive and meta learning encrypted traffic classification many or few samples? comparing transfer contrastive and meta learning encrypted traffic classification many or few samples? comparing transfer contrastive and meta learning encrypted traffic classification  on using pretext tasks to learn representations from network logs  on using pretext tasks to learn representations from network logs  native network intelligence fast and slow  native network intelligence fast and slow  cross network transferable neural models WLAN interference estimation  cross network transferable neural models WLAN interference estimation  StreamRHF tree based unsupervised anomaly detection data streams  StreamRHF tree based unsupervised anomaly detection data streams from design to deployment zero touch deep reinforcement learning WLANs from design to deployment zero touch deep reinforcement learning WLANs human readable network troubleshooting based on anomaly detection and feature scoring human readable network troubleshooting based on anomaly detection and feature scoring  towards systematic multi modal representation learning network data  towards systematic multi modal representation learning network data landing AI on networks an equipment vendor viewpoint on autonomous driving networks landing AI on networks an equipment vendor viewpoint on autonomous driving networks rare yet popular evidence and implications from anomaly detection datasets rare yet popular evidence and implications from anomaly detection datasets neural language models network configuration opportunities and reality check neural language models network configuration opportunities and reality check size based scheduling vs fairness datacenter flows queuing perspective size based scheduling vs fairness datacenter flows queuing perspective device and method network traffic classification device and method network traffic classification local evaluation time series anomaly detection algorithms local evaluation time series anomaly detection algorithms  AppClassNet commercial grade dataset application identification research  AppClassNet commercial grade dataset application identification research how much diffusion time is enough? how much diffusion time is enough? accelerating deep learning classification with error controlled approximate key caching accelerating deep learning classification with error controlled approximate key caching method to address extreme class imbalance AI based classifiers method to address extreme class imbalance AI based classifiers aggregation anomalies network aggregation anomalies network network resource control based on neighborhood measurements network resource control based on neighborhood measurements neural combinatorial optimization beyond the TSP existing architectures under represent graph structure neural combinatorial optimization beyond the TSP existing architectures under represent graph structure discrete time modeling NFV accelerators that exploit batched processing DarkVec analysis darknet traffic with embeddings towards deep learning traffic measurements  fast network analytics deep learning and zero traffic classification lessons learned from commercial grade dataset first look at class incremental learning deep learning mobile traffic analysis computer network  real time management WLANs deep reinforcement learning heuristics task detection real time WLAN optimization the long and winding road to deep autonomous networks lessons from real WLAN deployment models web QoE metrics from encrypted traffic cache and method controlling cache and method the system and method anomaly detection algorithms device and method identifying unknown neural networks quality monitoring and assessment deep learning models network random unsupervised anomaly detection are you on mobile or on the impact user device on web QoE from encrypted traffic detecting degradation web browsing quality experience QoE online anomaly detection leveraging stream based and real time telemetry method managing data per flow fair sharing detecting network to quality experience degradation human readable router anomaly detection real time deep learning based traffic analytics human readable router anomaly detection the deep box explainable traffic classification leveraging AI players QoE estimation cloud gaming human players from the AI assisted assessment gaming QoE analyzing wikipedia perceived quality experience large scale study revealing QoE web users from encrypted network traffic implications user perceived load time multi on web QoE measurement devices methods and system heterogeneous data adaptive federated learning device monitoring computer network system devices and methods web quality evaluation popularity based load fog cloud placement heterogeneous data aware federated learning deep learning and traffic classification with novel  large scale study wikipedia users quality experience survey performance techniques network virtualization web users QoE with machines discrete time modeling NFV accelerators that exploit batched processing high speed data plane and network functions virtualization by packet processing  DPDK lightweight line rate flow monitoring software fast software packet processing online packet classification  web quality experience from encrypted packets on the cost forwarding information centric things high speed software data plane via packet processing popularity based approach effective cloud fog telemetry based stream learning BGP anomalies parallel simulation very large scale general cache networks method measuring the fold time FlowMon DPDK parsimonious per flow software monitoring at line rate fair dropping multi resource fairness software routers per flow fairness the datacenter network yet effective network assisted quality experience speed the user perceived web performance to web QoE FlowMon DPDK parsimonious per flow software monitoring at line rate evaluation web browsing controlling software router resource sharing by fair packet dropping unsupervised real time detection BGP anomalies leveraging high rate and fine grained telemetry data batched packet processing high speed software data plane functions closer look at IP ID behavior the wild narrowing the gap between QoS metrics and web QoE using above the fold metrics  leveraging inter stability BGP dynamics analysis longitudinal study IP anycast caching encrypted content via stochastic cache partitioning leveraging interdomain stability and BGP dynamics parallel simulation very large scale general cache networks closer look at IP ID behavior the wild narrowing the gap between QoS metrics and web QoE using above the fold metrics dynamic adaptive video streaming towards systematic comparison ICN and TCP/IP hybrid methodology the performance evaluation internet scale cache networks exploiting hierarchical content stores high speed ICN routers longitudinal study IP anycast the web the users and the HTTP/2 on user experience  traffic analysis with off the shelf hardware and lessons learned stochastic dynamic cache partitioning encrypted content delivery ModelGraft accurate scalable and flexible performance evaluation general cache networks control analysis low priority congestion control under AQM ModelGraft to internet scale ICN on the cost secure information centric things secure information centric things measuring the quality experience web users latency based anycast geolocalization algorithms software and datasets framework models and controlled network troubleshooting statistical network monitoring methodology and application to carrier grade NAT representation optimizing video delivery through caching ICN software survey and cross comparison first characterization anycast traffic from passive web QoE beyond HTTP/2 vs the users the the and the model accurate scalable and flexible analysis general cache networks statistical traffic analysis with off the shelf hardware latency based anycast geolocalization algorithms software and datasets extended anycast and deployment design and analysis an mechanism hierarchical content stores high speed ICN routers emulation and implementation impact carrier grade NAT on web browsing wikipedia with the mPlane distributed measurement and implementation and the network troubleshooting hands on experimental study accurate and lightweight anycast enumeration and geolocation lightweight anycast enumeration and geolocation BGP anycast and geolocation cost aware caching caching more cost aware caching optimizing cache and placement ICN design and evaluation cost aware information centric routers caching and forwarding benefits analysis and implementation analyzing traffic ISP access networks applications via content centric networking analyzing the access network with CCN analysis and cross comparison per application bufferbloat and impact on users the long and winding road toward fair cross comparison ICN quality multi and multi gbps information centric routers aggregation statistical data from passive probes techniques and best flow management at multi gbps and lessons learned through the BitTorrent scalable accurate consolidation statistical data distributed active measurement internet queuing delays interdomain routing delay based congestion control flow BitTorrent  fighting the bufferbloat on the coexistence AQM and low priority congestion control extended mPlane an measurement plane the internet anycast enumeration and geolocation method managing packets network information centric networking ICN nodes information centric networking ICN router passive bufferbloat measurement exploiting transport information bufferbloat measurement and per application delay modeling the low priority congestion control and active management on dynamics and caching performance data plane vs control plane delay experimental study BitTorrent performance YouTube assessing ISP benefits peer assisted caching YouTube content rethinking low extra delay backtround transport protocols  an scalable CCN to the and are internet bufferbloat delays that large fighting the bufferbloat on the coexistence AQM and low priority congestion control gauging bufferbloat delays ModelNet TE an emulation tool the study P2P and traffic engineering interaction dynamics traffic classification  dynamic interest forwarding mechanism information centric networking through probabilistic routing and dynamic interest forwarding mechanism information centric networking device and method forwarding information nodes content centric networking CCN multi path interest forwarding interaction or interference AQM and low priority congestion control exploiting packet sampling measurements traffic characterization and classification speed statistical classification network traffic on hardware dive into the caching performance content centric networking the delay BitTorrent under LEDBAT vs TCP power the internet core sensitivity analysis large scale simulation CCN networks experimental assessment BitTorrent completion time heterogeneous on CCN content stores by exploiting information dive into caching performance traffic classification under sampling energy consumption the internet core sensitivity analysis performance evaluation P2P TV diffusion algorithms under adaptive probabilistic multi path routing the green game device resource consolidation backbone IP networks exploit the or the unknown ICN the green game between QoS and energy the impact on BitTorrent completion time fine grained classification the core the flow sampling identifying key P2P traffic classification experiences internet traffic monitoring with tstat abacus accurate fine grained classification P2P TV traffic assessing the impact signaling on the QoE based P2P TV diffusion algorithms the internet measuring web power consumption apples to apples framework analysis energy efficiency networks caching performance content centric networks under multi path routing and more ModelNet TE an emulation tool the study P2P and traffic engineering interaction dynamics the LEDBAT fairness peer to peer traffic classification exploiting human communication dynamics energy aware routing reality check peer peer networking the the KISS stochastic packet inspection UDP traffic hands on assessment transport protocols with best priority  on the impact sampling on traffic monitoring and analysis LEDBAT the new BitTorrent congestion control  fine grained traffic classification with data  live traffic monitoring with tstat and experiences apple to apple common framework energy efficiency networks  stochastic packet inspection TCP traffic  LEDBAT with the new BitTorrent congestion control  to abacus comparison P2P TV traffic classifiers  energy awareness network network flow network awareness P2P live streaming applications measurement study survey green networking research an hybrid approach to the network awareness P2P TV applications  on the quality broadcast services vehicular networks VoIP by measurements from large ISP box analysis internet P2P applications from the internet congestion control rethinking low extra delay backtround transport protocols framework P2P traffic analysis gauging the network P2P applications skype networks path network awareness P2P live streaming applications accurate and fine grained classification P2P TV applications by packets KISS stochastic packet inspection an abacus P2P TV traffic classification support vector regression link load prediction understanding skype signaling detailed analysis skype traffic KISS stochastic packet inspection UDP traffic classification network with support vector machines passive analysis TCP anomalies pictures from the skype pictures from the skype  at all  skype traffic P2P TV application over network the approach the  skype signaling  support vector regression link load prediction detailed measurement skype network traffic un method and apparatus detecting single data flow an packet data flow and identifying the application single data flow method and apparatus detecting data flow packet data flow  understanding VoIP from backbone measurements revealing skype traffic with you study on communication performance metodo per rilevare un singolo flusso dati all di un flusso di dati pacchetti per singolo flusso dati to beacon or to beacon passive measurement TCP anomalies real time TCP/IP analysis with common hardware on the impact traffic models on inter vehicular broadcast communication avoiding broadcast inter vehicular delivery services avoiding broadcast packets metodo per rilevare flusso dati un flusso dati pacchetti gbps link monitoring with tstat heuristics on traffic at the network on the TCP flow the performance under real traffic user and the web hands on simulation study web traffic over DiffServ networks simulation study web traffic over DiffServ networks";