Dan Pei

Orcid: 0000-0002-5113-838X

Affiliations:
  • Tsinghua University, Beijing, China
  • AT&T Inc (former)


According to our database1, Dan Pei authored at least 202 papers between 1999 and 2025.

Collaborative distances:

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Bibliography

2025
Privacy-preserving MTS anomaly detection for network devices through federated learning.
Inf. Sci., 2025

2024
Lindorm-UWC: An Ultra-Wide-Column Database for Internet of Vehicles.
Proc. VLDB Endow., August, 2024

Diagnosing Performance Issues for Large-Scale Microservice Systems With Heterogeneous Graph.
IEEE Trans. Serv. Comput., 2024

A survey on intelligent management of alerts and incidents in IT services.
J. Netw. Comput. Appl., 2024

KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks.
CoRR, 2024

Predicting Parameter Change's Effect on Cellular Network Time Series.
CoRR, 2024

A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management.
CoRR, 2024

LogEval: A Comprehensive Benchmark Suite for Large Language Models In Log Analysis.
CoRR, 2024

Failure Diagnosis in Microservice Systems: A Comprehensive Survey and Analysis.
CoRR, 2024

Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems.
Proceedings of the ACM on Web Conference 2024, 2024

Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective.
Proceedings of the ACM on Web Conference 2024, 2024

Illuminating the Gray Zone: Non-intrusive Gray Failure Localization in Server Operating Systems.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Fault Diagnosis for Test Alarms in Microservices through Multi-source Data.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Chain-of-Event: Interpretable Root Cause Analysis for Microservices through Automatically Learning Weighted Event Causal Graph.
Proceedings of the Companion Proceedings of the 32nd ACM International Conference on the Foundations of Software Engineering, 2024

Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Microservice Root Cause Analysis With Limited Observability Through Intervention Recognition in the Latent Space.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Guardian of the Resiliency: Detecting Erroneous Software Changes Before They Make Your Microservice System Less Fault-Resilient.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Auto-PIP: Real-time Identification of Critical Performance Inflection Points in Software Stress Testing.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

LabelEase: A Semi-Automatic Tool for Efficient and Accurate Trace Labeling in Microservices.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

SparseRCA: Unsupervised Root Cause Analysis in Sparse Microservice Testing Traces.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Multivariate Time Series Anomaly Detection based on Pre-trained Models with Dual-Attention Mechanism.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection Models.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Self-Evolutionary Group-wise Log Parsing Based on Large Language Model.
Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering, 2024

Causality Enhanced Graph Representation Learning for Alert-Based Root Cause Analysis.
Proceedings of the 24th IEEE International Symposium on Cluster, 2024

2023
Efficient and Robust KPI Outlier Detection for Large-Scale Datacenters.
IEEE Trans. Computers, October, 2023

LogSummary: Unstructured Log Summarization for Software Systems.
IEEE Trans. Netw. Serv. Manag., September, 2023

Generic and robust root cause localization for multi-dimensional data in online service systems.
J. Syst. Softw., September, 2023

LWS: A framework for log-based workload simulation in session-based SUT.
J. Syst. Softw., September, 2023

Robust Failure Diagnosis of Microservice System Through Multimodal Data.
IEEE Trans. Serv. Comput., 2023

Robust Anomaly Clue Localization of Multi-Dimensional Derived Measure for Online Video Services.
IEEE Trans. Serv. Comput., 2023

LogKG: Log Failure Diagnosis Through Knowledge Graph.
IEEE Trans. Serv. Comput., 2023

Lindorm TSDB: A Cloud-native Time-series Database for Large-scale Monitoring Systems.
Proc. VLDB Endow., 2023

OpsEval: A Comprehensive Task-Oriented AIOps Benchmark for Large Language Models.
CoRR, 2023

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain.
CoRR, 2023

CMDiagnostor: An Ambiguity-Aware Root Cause Localization Approach Based on Call Metric Data.
Proceedings of the ACM Web Conference 2023, 2023

Unsupervised Anomaly Detection on Microservice Traces through Graph VAE.
Proceedings of the ACM Web Conference 2023, 2023

From Point-wise to Group-wise: A Fast and Accurate Microservice Trace Anomaly Detection Approach.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Beyond Sharing: Conflict-Aware Multivariate Time Series Anomaly Detection.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Robust Multimodal Failure Detection for Microservice Systems.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Efficient and Robust Trace Anomaly Detection for Large-Scale Microservice Systems.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

AutoKAD: Empowering KPI Anomaly Detection with Label-Free Deployment.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

An Empirical Analysis of Anomaly Detection Methods for Multivariate Time Series.
Proceedings of the 34th IEEE International Symposium on Software Reliability Engineering, 2023

Efficient Multivariate Time Series Anomaly Detection Through Transfer Learning for Large-Scale Web Services.
Proceedings of the IEEE International Conference on Web Services, 2023

2022
Detecting Outlier Machine Instances Through Gaussian Mixture Variational Autoencoder With One Dimensional CNN.
IEEE Trans. Computers, 2022

Online malicious domain name detection with partial labels for large-scale dependable systems.
J. Syst. Softw., 2022

Efficient KPI Anomaly Detection Through Transfer Learning for Large-Scale Web Services.
IEEE J. Sel. Areas Commun., 2022

Situation-Aware Multivariate Time Series Anomaly Detection Through Active Learning and Contrast VAE-Based Models in Large Distributed Systems.
IEEE J. Sel. Areas Commun., 2022

Constructing Large-Scale Real-World Benchmark Datasets for AIOps.
CoRR, 2022

Actionable and Interpretable Fault Localization for Recurring Failures in Online Service Systems.
CoRR, 2022

Robust System Instance Clustering for Large-Scale Web Services.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Actionable and interpretable fault localization for recurring failures in online service systems.
Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

Causal Inference-Based Root Cause Analysis for Online Service Systems with Intervention Recognition.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Identifying Erroneous Software Changes through Self-Supervised Contrastive Learning on Time Series Data.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Effective Attribute Selection for Multi-dimensional Root Cause Analysis.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Mining Fluctuation Propagation Graph Among Time Series with Active Learning.
Proceedings of the Database and Expert Systems Applications, 2022

Generic and Robust Performance Diagnosis via Causal Inference for OLTP Database Systems.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
LogClass: Anomalous Log Identification and Classification With Partial Labels.
IEEE Trans. Netw. Serv. Manag., 2021

UniLog: Deploy One Model and Specialize it for All Log Analysis Tasks.
CoRR, 2021

DOI: Divergence-based Out-of-Distribution Indicators via Deep Generative Models.
CoRR, 2021

DockerMock: Pre-Build Detection of Dockerfile Faults through Mocking Instruction Execution.
CoRR, 2021

Jump-Starting Multivariate Time Series Anomaly Detection for Online Service Systems.
Proceedings of the 2021 USENIX Annual Technical Conference, 2021

An empirical investigation of practical log anomaly detection for online service systems.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Identifying bad software changes via multimodal anomaly detection for online service systems.
Proceedings of the ESEC/FSE '21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021

Multivariate Time Series Anomaly Detection and Interpretation using Hierarchical Inter-Metric and Temporal Embedding.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Practical Root Cause Localization for Microservice Systems via Trace Analysis.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

Robust KPI Anomaly Detection for Large-Scale Software Services with Partial Labels.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

Identifying Root-Cause Metrics for Incident Diagnosis in Online Service Systems.
Proceedings of the 32nd IEEE International Symposium on Software Reliability Engineering, 2021

CTF: Anomaly Detection in High-Dimensional Time Series with Coarse-to-Fine Model Transfer.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
Diagnosing Root Causes of Intermittent Slow Queries in Large-Scale Cloud Databases.
Proc. VLDB Endow., 2020

Summarizing Unstructured Logs in Online Services.
CoRR, 2020

Efficient and Robust Syslog Parsing for Network Devices in Datacenter Networks.
IEEE Access, 2020

Real-time incident prediction for online service systems.
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020

A Practical Machine Learning-Based Framework to Detect DNS Covert Communication in Enterprises.
Proceedings of the Security and Privacy in Communication Networks, 2020

Localizing Failure Root Causes in a Microservice through Causality Inference.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

Unsupervised Detection of Microservice Trace Anomalies through Service-Level Deep Bayesian Networks.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

LogTransfer: Cross-System Log Anomaly Detection for Software Systems with Transfer Learning.
Proceedings of the 31st IEEE International Symposium on Software Reliability Engineering, 2020

FluxInfer: Automatic Diagnosis of Performance Anomaly for Online Database System.
Proceedings of the 39th IEEE International Performance Computing and Communications Conference, 2020

Automatically and Adaptively Identifying Severe Alerts for Online Service Systems.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

ZeroWall: Detecting Zero-Day Web Attacks through Encoder-Decoder Recurrent Neural Networks.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Unsupervised Clustering through Gaussian Mixture Variational AutoEncoder with Non-Reparameterized Variational Inference and Std Annealing.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Understanding and handling alert storm for online service systems.
Proceedings of the ICSE-SEIP 2020: 42nd International Conference on Software Engineering, Software Engineering in Practice, Seoul, South Korea, 27 June, 2020

Shallow VAEs with RealNVP Prior can Perform as Well as Deep Hierarchical VAEs.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

VAEPP: Variational Autoencoder with a Pull-Back Prior.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Practical and White-Box Anomaly Detection through Unsupervised and Active Learning.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

LogParse: Making Log Parsing Adaptive through Word Classification.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

A Semantic-aware Representation Framework for Online Log Analysis.
Proceedings of the 29th International Conference on Computer Communications and Networks, 2020

2019
Automatic and Generic Periodicity Adaptation for KPI Anomaly Detection.
IEEE Trans. Netw. Serv. Manag., 2019

Walking Without Friends: Publishing Anonymized Trajectory Dataset Without Leaking Social Relationships.
IEEE Trans. Netw. Serv. Manag., 2019

Dynamic TCP Initial Windows and Congestion Control Schemes Through Reinforcement Learning.
IEEE J. Sel. Areas Commun., 2019

The Search for Sparse, Robust Neural Networks.
CoRR, 2019

On the Necessity and Effectiveness of Learning the Prior of Variational Auto-Encoder.
CoRR, 2019

Personalized Context-aware Re-ranking for E-commerce Recommender Systems.
CoRR, 2019

Personalized re-ranking for recommendation.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

CoFlux: robustly correlating KPIs by fluctuations for service troubleshooting.
Proceedings of the International Symposium on Quality of Service, 2019

FluxRank: A Widely-Deployable Framework to Automatically Localizing Root Cause Machines for Software Service Failure Mitigation.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

Generic and Robust Localization of Multi-dimensional Root Causes.
Proceedings of the 30th IEEE International Symposium on Software Reliability Engineering, 2019

Label-Less: A Semi-Automatic Labelling Tool for KPI Anomalies.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Unsupervised Anomaly Detection for Intricate KPIs via Adversarial Training of VAE.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Causal Analysis of the Unsatisfying Experience in Realtime Mobile Multiplayer Games in the Wild.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Collaborative learning between cloud and end devices: an empirical study on location prediction.
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, 2019

2018
FUNNEL: Assessing Software Changes in Web-Based Services.
IEEE Trans. Serv. Comput., 2018

FUSO: Fast Multi-Path Loss Recovery for Data Center Networks.
IEEE/ACM Trans. Netw., 2018

PreFix: Switch Failure Prediction in Datacenter Networks.
Proc. ACM Meas. Anal. Comput. Syst., 2018

无线网络用户的Wi-Fi指纹匿名化研究 (Study on Wi-Fi Fingerprint Anonymization for Users in Wireless Networks).
计算机科学, 2018

HotSpot: Anomaly Localization for Additive KPIs With Multi-Dimensional Attributes.
IEEE Access, 2018

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Reducing Web Latency Through Dynamically Setting TCP Initial Window with Reinforcement Learning.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Device-Agnostic Log Anomaly Classification with Partial Labels.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Robust and Rapid Clustering of KPIs for Large-Scale Anomaly Detection.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Robust and Rapid Adaption for Concept Drift in Software System Anomaly Detection.
Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018

The Frame Latency of Personalized Livestreaming Can Be Significantly Slowed Down by WiFi.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

Rapid Deployment of Anomaly Detection Models for Large Number of Emerging KPI Streams.
Proceedings of the 37th IEEE International Performance Computing and Communications Conference, 2018

Continuous delivery of personalized assessment and feedback in agile software engineering projects.
Proceedings of the 40th International Conference on Software Engineering: Software Engineering Education and Training, 2018

Preventing Wi-Fi Privacy Leakage: A User Behavioral Similarity Approach.
Proceedings of the 2018 IEEE International Conference on Communications, 2018

The DevOps Lab Platform for Managing Diversified Projects in Educating Agile Software Engineering.
Proceedings of the IEEE Frontiers in Education Conference, 2018

2017
𝔽<sup>2</sup> Tree: Rapid Failure Recovery for Routing in Production Data Center Networks.
IEEE/ACM Trans. Netw., 2017

Firewall Fingerprinting and Denial of Firewalling Attacks.
IEEE Trans. Inf. Forensics Secur., 2017

Interest-suppression-based NDN live video broadcasting over wireless LAN.
Frontiers Comput. Sci., 2017

Syslog processing for switch failure diagnosis and prediction in datacenter networks.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

Latency-based WiFi congestion control in the air for dense WiFi networks.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

You can hide, but your periodic schedule can't.
Proceedings of the 25th IEEE/ACM International Symposium on Quality of Service, 2017

TCP WISE: One initial congestion window is not enough.
Proceedings of the 36th IEEE International Performance Computing and Communications Conference, 2017

Why it takes so long to connect to a WiFi access point.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

How Much Are Your Neighbors Interfering with Your WiFi Delay?
Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

Mining crowd mobility and WiFi hotspots on a densely-populated campus.
Proceedings of the Adjunct Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers, 2017

2016
Analyzing the impact of buffer capacity on crosspoint-queued switch performance.
J. Commun. Networks, 2016

Fast and Cautious: Leveraging Multi-path Diversity for Transport Loss Recovery in Data Centers.
Proceedings of the 2016 USENIX Annual Technical Conference, 2016

Improving the freshness of NDN forwarding states.
Proceedings of the 2016 IFIP Networking Conference, 2016

MobiCamp: a Campus-wide Testbed for Studying Mobile Physical Activities.
Proceedings of the 3rd International on Workshop on Physical Analytics, 2016

Characterizing and Improving WiFi Latency in Large-Scale Operational Networks.
Proceedings of the 14th Annual International Conference on Mobile Systems, 2016

Understanding the Impact of AP Density on WiFi Performance Through Real-World Deployment.
Proceedings of the IEEE International Symposium on Local and Metropolitan Area Networks, 2016

Your trajectory privacy can be breached even if you walk in groups.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

M<sup>3</sup>: Practical and reliable multi-layer video multicast over multi-rate Wi-Fi network.
Proceedings of the 24th IEEE/ACM International Symposium on Quality of Service, 2016

Mining causality graph for automatic web-based service diagnosis.
Proceedings of the 35th IEEE International Performance Computing and Communications Conference, 2016

WiFi can be the weakest link of round trip network latency in the wild.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

FOCUS: Shedding light on the high search response time in the wild.
Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

Fetching Popular Data from the Nearest Replica in NDN.
Proceedings of the 25th International Conference on Computer Communication and Networks, 2016

EDUM: classroom education measurements via large-scale WiFi networks.
Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2016

2015
Alleviating flow interference in data center networks through fine-grained switch queue management.
Comput. Networks, 2015

Learning thresholds for PV change detection from operators' labels.
Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

Narrowing down the debugging space of slow search response time.
Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

How bad are the rogues' impact on enterprise 802.11 network performance?
Proceedings of the 2015 IEEE Conference on Computer Communications, 2015

Opprentice: Towards Practical and Automatic Anomaly Detection Through Machine Learning.
Proceedings of the 2015 ACM Internet Measurement Conference, 2015

MIFO: Multi-path Interdomain Forwarding.
Proceedings of the 44th International Conference on Parallel Processing, 2015

Rewiring 2 Links Is Enough: Accelerating Failure Recovery in Production Data Center Networks.
Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

NDN Live Video Broadcasting over Wireless LAN.
Proceedings of the 24th International Conference on Computer Communication and Networks, 2015

Rapid and robust impact assessment of software changes in large internet-based services.
Proceedings of the 11th ACM Conference on Emerging Networking Experiments and Technologies, 2015

2014
Where the Sidewalk Ends: Extending the Internet AS Graph Using Traceroutes from P2P Users.
IEEE Trans. Computers, 2014

Multi-AS cooperative incoming traffic engineering in a transit-edge separate internet.
Comput. Networks, 2014

Designing Buffer Capacity of Crosspoint-Queued Switch.
Proceedings of the Network and Parallel Computing, 2014

NetSearch: Googling large-scale network management data.
Proceedings of the 2014 IFIP Networking Conference, Trondheim, 2014

CQRD: A switch-based approach to flow interference in Data Center Networks.
Proceedings of the IEEE 39th Conference on Local Computer Networks, 2014

A measurement study on BGP AS path looping (BAPL) behavior.
Proceedings of the 23rd International Conference on Computer Communication and Networks, 2014

Application-aware latency monitoring for cloud tenants via CloudWatch+.
Proceedings of the 10th International Conference on Network and Service Management, 2014

2012
G-RCA: a generic root cause analysis platform for service quality management in large IP networks.
IEEE/ACM Trans. Netw., 2012

Threshold compression for 3G scalable monitoring.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

Firewall fingerprinting.
Proceedings of the IEEE INFOCOM 2012, Orlando, FL, USA, March 25-30, 2012, 2012

2011
To Cache or Not to Cache: The 3G Case.
IEEE Internet Comput., 2011

Scalable monitoring via threshold compression in a large operational 3G network.
Proceedings of the SIGMETRICS 2011, 2011

Towards an efficient algorithmic framework for pricing cellular data service.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

AdCell: Ad Allocation in Cellular Networks.
Proceedings of the Algorithms - ESA 2011, 2011

2010
The (in)completeness of the observed internet AS-level structure.
IEEE/ACM Trans. Netw., 2010

What happened in my network: mining network events from router syslogs.
Proceedings of the 10th ACM SIGCOMM Internet Measurement Conference, 2010

TowerDefense: Deployment strategies for battling against IP prefix hijacking.
Proceedings of the 18th annual IEEE International Conference on Network Protocols, 2010

2009
Quantifying path exploration in the internet.
IEEE/ACM Trans. Netw., 2009

Network-aware forward caching.
Proceedings of the 18th International Conference on World Wide Web, 2009

Locating Prefix Hijackers using LOCK.
Proceedings of the 18th USENIX Security Symposium, 2009

Quantifying the Extent of IPv6 Deployment.
Proceedings of the Passive and Active Network Measurement, 10th International Conference, 2009

Towards Efficient Large-Scale VPN Monitoring and Diagnosis under Operational Constraints.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

Darkstar: Using exploratory data mining to raise the bar on network reliability and performance.
Proceedings of the 7th International Workshop on Design of Reliable Communication Networks, 2009

2008
In search of the elusive ground truth: the internet's as-level connectivity structure.
Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2008

Scalable VPN routing via relaying.
Proceedings of the 2008 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2008

Shedding light on the glue logic of the internet routing architecture.
Proceedings of the ACM SIGCOMM 2008 Conference on Applications, 2008

2007
Wresting Control from BGP: Scalable Fine-Grained Route Control.
Proceedings of the 2007 USENIX Annual Technical Conference, 2007

A light-weight distributed scheme for detecting ip prefix hijacks in real-time.
Proceedings of the ACM SIGCOMM 2007 Conference on Applications, 2007

Understanding BGP Session Failures in a Large ISP.
Proceedings of the INFOCOM 2007. 26th IEEE International Conference on Computer Communications, 2007

2006
An analysis of convergence delay in path vector routing protocols.
Comput. Networks, 2006

PHAS: A Prefix Hijack Alert System.
Proceedings of the 15th USENIX Security Symposium, Vancouver, BC, Canada, July 31, 2006

BGP convergence in virtual private networks.
Proceedings of the 6th ACM SIGCOMM Internet Measurement Conference, 2006

Quantifying path exploration in the internet.
Proceedings of the 6th ACM SIGCOMM Internet Measurement Conference, 2006

2005
BGP-RCN: improving BGP convergence through root cause notification.
Comput. Networks, 2005

Timer Interaction in Route Flap Damping.
Proceedings of the 25th International Conference on Distributed Computing Systems (ICDCS 2005), 2005

The impact of multi-homing on network reliability and stability: a case study.
Proceedings of the 14th International Conference On Computer Communications and Networks, 2005

2004
A framework for resilient Internet routing protocols.
IEEE Netw., 2004

A Study of BGP Path Vector Route Looping Behavior.
Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS 2004), 2004

2003
Protecting BGP Routes to Top-Level DNS Servers.
IEEE Trans. Parallel Distributed Syst., 2003

A study on the routing convergence of Latin American networks.
Proceedings of the LANC '03 IFIP / ACM Latin American Networking Conference 2003, 2003

Protecting BGP Routes to Top Level DNS Servers.
Proceedings of the 23rd International Conference on Distributed Computing Systems (ICDCS 2003), 2003

Detection of invalid routing announcements in RIP protocol.
Proceedings of the Global Telecommunications Conference, 2003

Visual-Based Anomaly Detection for BGP Origin AS Change (OASC) Events.
Proceedings of the Self-Managing Distributed Systems, 2003

A Study of Packet Delivery Performance during Routing Convergence.
Proceedings of the 2003 International Conference on Dependable Systems and Networks (DSN 2003), 2003

Understanding BGP Behavior through a Study of DoD Prefixes.
Proceedings of the 3rd DARPA Information Survivability Conference and Exposition (DISCEX-III 2003), 2003

2002
Improving BGP Convergence Through Consistency Assertions.
Proceedings of the Proceedings IEEE INFOCOM 2002, 2002

Observation and analysis of BGP behavior under stress.
Proceedings of the 2nd ACM SIGCOMM Internet Measurement Workshop, 2002

Detection of Invalid Routing Announcement in the Internet.
Proceedings of the 2002 International Conference on Dependable Systems and Networks (DSN 2002), 2002

2001
An analysis of BGP multiple origin AS (MOAS) conflicts.
Proceedings of the 1st ACM SIGCOMM Internet Measurement Workshop, 2001

1999
Quasi-Asynchronous Migration: A Novel Migration Protocol for PVM Tasks.
ACM SIGOPS Oper. Syst. Rev., 1999


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