Lydia Y. Chen

Orcid: 0000-0002-4228-6735

Affiliations:
  • IBM Research, Zurich, Switzerland
  • Pennsylvania State University, University Park, PA, USA (former)


According to our database1, Lydia Y. Chen authored at least 214 papers between 2004 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Online presence:

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Bibliography

2024
ElasticDNN: On-Device Neural Network Remodeling for Adapting Evolving Vision Domains at Edge.
IEEE Trans. Computers, June, 2024

FedViT: Federated continual learning of vision transformer at edge.
Future Gener. Comput. Syst., 2024

CTAB-GAN+: enhancing tabular data synthesis.
Frontiers Big Data, 2024

Parameterizing Federated Continual Learning for Reproducible Research.
CoRR, 2024

Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients.
CoRR, 2024

Asynchronous Byzantine Federated Learning.
CoRR, 2024

Share Your Secrets for Privacy! Confidential Forecasting with Vertical Federated Learning.
CoRR, 2024

Gradient Inversion of Federated Diffusion Models.
CoRR, 2024

CCBNet: Confidential Collaborative Bayesian Networks Inference.
CoRR, 2024

SFDDM: Single-fold Distillation for Diffusion models.
CoRR, 2024

TabVFL: Improving Latent Representation in Vertical Federated Learning.
CoRR, 2024

SiloFuse: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models.
CoRR, 2024

Quantifying and Mitigating Privacy Risks for Tabular Generative Models.
CoRR, 2024

The Rise of Diffusion Models in Time-Series Forecasting.
CoRR, 2024

On Dark Knowledge for Distilling Generators.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

DALLMi: Domain Adaption for LLM-Based Multi-label Classifier.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

S i 1 o F use: Cross-silo Synthetic Data Generation with Latent Tabular Diffusion Models.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Trustworthy Federated Learning Systems.
Proceedings of the 14th International Conference on Cloud Computing and Services Science, 2024

Duwak: Dual Watermarks in Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Fast DRL-based scheduler configuration tuning for reducing tail latency in edge-cloud jobs.
J. Cloud Comput., December, 2023

CDGraph: Dual Conditional Social Graph Synthesizing via Diffusion Model.
CoRR, 2023

TabuLa: Harnessing Language Models for Tabular Data Synthesis.
CoRR, 2023

BatMan-CLR: Making Few-shots Meta-Learners Resilient Against Label Noise.
CoRR, 2023

GTV: Generating Tabular Data via Vertical Federated Learning.
CoRR, 2023

Robust Learning via Golden Symmetric Loss of (un)Trusted Labels.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Exploring and Exploiting Data-Free Model Stealing.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Maverick Matters: Client Contribution and Selection in Federated Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Characterizing Distributed Machine Learning Workloads on Apache Spark: (Experimentation and Deployment Paper).
Proceedings of the 24th International Middleware Conference, 2023

LeadFL: Client Self-Defense against Model Poisoning in Federated Learning.
Proceedings of the International Conference on Machine Learning, 2023

EdgeVisionBench: A Benchmark of Evolving Input Domains for Vision Applications at Edge.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

FedKNOW: Federated Continual Learning with Signature Task Knowledge Integration at Edge.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Defending Against Free-Riders Attacks in Distributed Generative Adversarial Networks.
Proceedings of the Financial Cryptography and Data Security, 2023

Fabricated Flips: Poisoning Federated Learning without Data.
Proceedings of the 53rd Annual IEEE/IFIP International Conference on Dependable Systems and Network, 2023

FCT-GAN: Enhancing Global Correlation of Table Synthesis via Fourier Transform.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

GDTS: GAN-Based Distributed Tabular Synthesizer.
Proceedings of the 16th IEEE International Conference on Cloud Computing, 2023

2022
Federated Learning With Heterogeneity-Aware Probabilistic Synchronous Parallel on Edge.
IEEE Trans. Serv. Comput., 2022

Lightweight and Accurate DNN-Based Anomaly Detection at Edge.
IEEE Trans. Parallel Distributed Syst., 2022

Multiple Strategies Differential Privacy on Sparse Tensor Factorization for Network Traffic Analysis in 5G.
IEEE Trans. Ind. Informatics, 2022

Memory-aware and context-aware multi-DNN inference on the edge.
Pervasive Mob. Comput., 2022

FCT-GAN: Enhancing Table Synthesis via Fourier Transform.
CoRR, 2022

Federated Geometric Monte Carlo Clustering to Counter Non-IID Datasets.
CoRR, 2022

CTAB-GAN+: Enhancing Tabular Data Synthesis.
CoRR, 2022

Blind leads Blind: A Zero-Knowledge Attack on Federated Learning.
CoRR, 2022

MEGA: Model Stealing via Collaborative Generator-Substitute Networks.
CoRR, 2022

Attacks and Defenses for Free-Riders in Multi-Discriminator GAN.
CoRR, 2022

AGIC: Approximate Gradient Inversion Attack on Federated Learning.
Proceedings of the 41st International Symposium on Reliable Distributed Systems, 2022

EdgeTune: Inference-Aware Multi-Parameter Tuning.
Proceedings of the Middleware '22: 23rd International Middleware Conference, Quebec, QC, Canada, November 7, 2022

Aergia: leveraging heterogeneity in federated learning systems.
Proceedings of the Middleware '22: 23rd International Middleware Conference, Quebec, QC, Canada, November 7, 2022

Federated Learning for Tabular Data: Exploring Potential Risk to Privacy.
Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

EdgeTuner: Fast Scheduling Algorithm Tuning for Dynamic Edge-Cloud Workloads and Resources.
Proceedings of the IEEE INFOCOM 2022, 2022

Performance Modeling for Short-Term Cache Allocation.
Proceedings of the 51st International Conference on Parallel Processing, 2022

LABNET: A Collaborative Method for DNN Training and Label Aggregation.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

Targeted Influence with Community and Gender-Aware Seeding.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Permutation-Invariant Tabular Data Synthesis.
Proceedings of the IEEE International Conference on Big Data, 2022

Trusted Loss Correction for Noisy Multi-Label Learning.
Proceedings of the Asian Conference on Machine Learning, 2022

Multi Label Loss Correction against Missing and Corrupted Labels.
Proceedings of the Asian Conference on Machine Learning, 2022

2021
sPARE: Partial Replication for Multi-Tier Applications in the Cloud.
IEEE Trans. Serv. Comput., 2021

SGD$\_$_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition.
IEEE Trans. Parallel Distributed Syst., 2021

Accelerating Gossip-Based Deep Learning in Heterogeneous Edge Computing Platforms.
IEEE Trans. Parallel Distributed Syst., 2021

Accurate Differentially Private Deep Learning on the Edge.
IEEE Trans. Parallel Distributed Syst., 2021

Guest Editorial: Special Issue on Data Analytics and Machine Learning for Network and Service Management - Part II.
IEEE Trans. Netw. Serv. Manag., 2021

SlimML: Removing Non-Critical Input Data in Large-Scale Iterative Machine Learning.
IEEE Trans. Knowl. Data Eng., 2021

Enhancing Robustness of On-Line Learning Models on Highly Noisy Data.
IEEE Trans. Dependable Secur. Comput., 2021

Automatic Privacy and Utility Preservation for Mobility Data: A Nonlinear Model-Based Approach.
IEEE Trans. Dependable Secur. Comput., 2021

Locality Sensitive Hash Aggregated Nonlinear Neighborhood Matrix Factorization for Online Sparse Big Data Analysis.
Trans. Data Sci., 2021

Locality Sensitive Hash Aggregated Nonlinear Neighbourhood Matrix Factorization for Online Sparse Big Data Analysis.
CoRR, 2021

ComicGAN: Text-to-Comic Generative Adversarial Network.
CoRR, 2021

Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data.
CoRR, 2021

Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators.
CoRR, 2021

DTGAN: Differential Private Training for Tabular GANs.
CoRR, 2021

Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning.
CoRR, 2021

CTAB-GAN: Effective Table Data Synthesizing.
CoRR, 2021

Online Label Aggregation: A Variational Bayesian Approach.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Courier: Real-Time Optimal Batch Size Prediction for Latency SLOs in BigDL.
Proceedings of the ICPE '21: ACM/SPEC International Conference on Performance Engineering, 2021

MemA: Fast Inference of Multiple Deep Models.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

Masa: Responsive Multi-DNN Inference on the Edge.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications, 2021

Artifact: Masa: Responsive Multi-DNN Inference on the Edge.
Proceedings of the 19th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2021

LegoDNN: block-grained scaling of deep neural networks for mobile vision.
Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Practical Analysis of Replication-Based Systems.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

LABELNET: Recovering Noisy Labels.
Proceedings of the International Joint Conference on Neural Networks, 2021

On Influencing the Influential: Disparity Seeding.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise.
Proceedings of the BDCAT '21: 2021 IEEE/ACM 8th International Conference on Big Data Computing, Applications and Technologies, Leicester, United Kingdom, December 6, 2021

QActor: Active Learning on Noisy Labels.
Proceedings of the Asian Conference on Machine Learning, 2021

CTAB-GAN: Effective Table Data Synthesizing.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Making Neighbors Quiet: An Approach to Detect Virtual Resource Contention.
IEEE Trans. Serv. Comput., 2020

Holistic Technologies for Managing Internet of Things Services.
IEEE Trans. Serv. Comput., 2020

Guest Editorial: Special Section on Data Analytics and Machine Learning for Network and Service Management-Part I.
IEEE Trans. Netw. Serv. Manag., 2020

A note on advances in scheduling algorithms for Cyber-Physical-Social workflows.
Future Gener. Comput. Syst., 2020

SGD_Tucker: A Novel Stochastic Optimization Strategy for Parallel Sparse Tucker Decomposition.
CoRR, 2020

On Influencing the Influential: Disparity Seeding.
CoRR, 2020

Active Learning for Noisy Data Streams Using Weak and Strong Labelers.
CoRR, 2020

TrustNet: Learning from Trusted Data Against (A)symmetric Label Noise.
CoRR, 2020

ExpertNet: Adversarial Learning and Recovery Against Noisy Labels.
CoRR, 2020

QActor: On-line Active Learning for Noisy Labeled Stream Data.
CoRR, 2020

An Exploratory Analysis on Users' Contributions in Federated Learning.
Proceedings of the Second IEEE International Conference on Trust, 2020

PipeTune: Pipeline Parallelism of Hyper and System Parameters Tuning for Deep Learning Clusters.
Proceedings of the Middleware '20: 21st International Middleware Conference, 2020

End-to-End Learning from Noisy Crowd to Supervised Machine Learning Models.
Proceedings of the 2nd IEEE International Conference on Cognitive Machine Intelligence, 2020

2019
Workload-Adaptive Configuration Tuning for Hierarchical Cloud Schedulers.
IEEE Trans. Parallel Distributed Syst., 2019

RAD: On-line Anomaly Detection for Highly Unreliable Data.
CoRR, 2019

Opportunities and Challenges for Resource Management and Machine Learning Clusters.
Proceedings of the 12th IEEE/ACM International Conference on Utility and Cloud Computing, 2019

Robust (Deep) Learning Framework Against Dirty Labels and Beyond.
Proceedings of the First IEEE International Conference on Trust, 2019

Differential Approximation and Sprinting for Multi-Priority Big Data Engines.
Proceedings of the 20th International Middleware Conference, 2019

Chisel: Reshaping Queries to Trim Latency in Key-Value Stores.
Proceedings of the 2019 IEEE International Conference on Autonomic Computing, 2019

Robust Anomaly Detection on Unreliable Data.
Proceedings of the 49th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2019

Automating Deep Neural Network Model Selection for Edge Inference.
Proceedings of the 2019 IEEE First International Conference on Cognitive Machine Intelligence (CogMI), 2019

2018
Spatial-Temporal Prediction Models for Active Ticket Managing in Data Centers.
IEEE Trans. Netw. Serv. Manag., 2018

Optimizing for Tail Sojourn Times of Cloud Clusters.
IEEE Trans. Cloud Comput., 2018

Effective Capacity Modulation as an Explicit Control Knob for Public Cloud Profitability.
ACM Trans. Auton. Adapt. Syst., 2018

A multi-layered performance analysis for cloud-based topic detection and tracking in Big Data applications.
Future Gener. Comput. Syst., 2018

Holistic Workload Scaling: A New Approach to Compute Acceleration in the Cloud.
IEEE Cloud Comput., 2018

Héron: Taming Tail Latencies in Key-Value Stores Under Heterogeneous Workloads.
Proceedings of the 37th IEEE Symposium on Reliable Distributed Systems, 2018

A Speech and Lip Authentication System Based On Android Smart Phone.
Proceedings of the 6th International Conference on Information Technology: IoT and Smart City, 2018

AdaptiveConfig: Run-Time Configuration of Cluster Schedulers for Cloud Short-Running Jobs.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

SmallTail: Scaling Cores and Probabilistic Cloning Requests for Web Systems.
Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

Model-driven computational sprinting.
Proceedings of the Thirteenth EuroSys Conference, 2018

Towards Dynamic End-to-End Privacy Preserving Data Classification.
Proceedings of the 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2018

2017
Failure Analysis and Prediction for Big-Data Systems.
IEEE Trans. Serv. Comput., 2017

Cutting Latency Tail: Analyzing and Validating Replication without Canceling.
IEEE Trans. Parallel Distributed Syst., 2017

Priority Scheduling for Heterogeneous Workloads: Tradeoff Between Evictions and Response Time.
IEEE Syst. J., 2017

Reprint of "Robust partial-load experiments with Showstopper".
Future Gener. Comput. Syst., 2017

Bringing 5G into Rural and Low-Income Areas: Is It Feasible?
IEEE Commun. Stand. Mag., 2017

Software Defined Membrane: Policy-Driven Edge and Internet of Things Security.
IEEE Cloud Comput., 2017

PULP: Achieving Privacy and Utility Trade-Off in User Mobility Data.
Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017

Work-in-Progress: Maximizing Model Accuracy in Real-time and Iterative Machine Learning.
Proceedings of the 2017 IEEE Real-Time Systems Symposium, 2017

On the latency-accuracy tradeoff in approximate MapReduce jobs.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Power of redundancy: Designing partial replication for multi-tier applications.
Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

Dual Scaling VMs and Queries: Cost-Effective Latency Curtailment.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

AccStream: Accuracy-Aware Overload Management for Stream Processing Systems.
Proceedings of the 2017 IEEE International Conference on Autonomic Computing, 2017

Meeting Latency Target in Transient Burst: A Case on Spark Streaming.
Proceedings of the 2017 IEEE International Conference on Cloud Engineering, 2017

Early work on modeling computational sprinting.
Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

State of Practice of Non-self-aware Virtual Machine Management in Cloud Data Centers.
Proceedings of the Self-Aware Computing Systems., 2017

Self-aware Computing Systems: Open Challenges and Future Research Directions.
Proceedings of the Self-Aware Computing Systems., 2017

2016
Discharging the Network From Its Flow Control Headaches: Packet Drops and HOL Blocking.
IEEE/ACM Trans. Netw., 2016

On Fair Attribution of Costs Under Peak-Based Pricing to Cloud Tenants.
ACM Trans. Model. Perform. Evaluation Comput. Syst., 2016

Virtualization in the Private Cloud: State of the Practice.
IEEE Trans. Netw. Serv. Manag., 2016

Robust partial-load experiments with Showstopper.
Future Gener. Comput. Syst., 2016

Open Issues in Scheduling Microservices in the Cloud.
IEEE Cloud Comput., 2016

PROST: Predicting Resource Usages with Spatial and Temporal Dependencies.
Proceedings of the 7th ACM/SPEC International Conference on Performance Engineering, 2016

AutoBench: Finding Workloads That You Need Using Pluggable Hybrid Analyses.
Proceedings of the IEEE 23rd International Conference on Software Analysis, 2016

Tale of Tails: Anomaly Avoidance in Data Centers.
Proceedings of the 35th IEEE Symposium on Reliable Distributed Systems, 2016

Robust Server Consolidation: Coping with Peak Demand Underestimation.
Proceedings of the 24th IEEE International Symposium on Modeling, 2016

5G in rural and low-income areas: Are we ready?
Proceedings of the 2016 ITU Kaleidoscope: ICTs for a Sustainable World, 2016

Defeating variability in cloud applications by multi-tier workload redundancy.
Proceedings of the IEEE Conference on Computer Communications Workshops, 2016

An Endpoint Communication Profiling Tool for Distributed Computing Frameworks.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

Dslash: Managing Data in Overloaded Batch Streaming Systems.
Proceedings of the 36th IEEE International Conference on Distributed Computing Systems, 2016

Sprint Ability: How Well Does Your Software Exploit Bursts in Processing Capacity?
Proceedings of the 2016 IEEE International Conference on Autonomic Computing, 2016

Dynamic Block Sizing for Data Stream Processing Systems.
Proceedings of the 2016 IEEE International Conference on Cloud Engineering Workshop, 2016

Actor profiling in virtual execution environments.
Proceedings of the 2016 ACM SIGPLAN International Conference on Generative Programming: Concepts and Experiences, 2016

Profiling actor utilization and communication in Akka.
Proceedings of the 15th International Workshop on Erlang, 2016

Efficient profiling of actor-based applications in parallel and distributed systems.
Proceedings of the 11th Workshop on Implementation, 2016

Managing Data Center Tickets: Prediction and Active Sizing.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2016

Profiling Memory Vulnerability of Big-Data Applications.
Proceedings of the 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops, 2016

Integrated Energy Efficient Data Centre Management for Green Cloud Computing - The FP7 GENiC Project Experience.
Proceedings of the CLOSER 2016, 2016

AkkaProf: A Profiler for Akka Actors in Parallel and Distributed Applications.
Proceedings of the Programming Languages and Systems - 14th Asian Symposium, 2016

2015
Usage Patterns in Multi-tenant Data Centers: a Large-Case Field Study.
Proceedings of the Handbook on Data Centers, 2015

On Energyaware Allocation and Execution for Batch and Interactive MapReduce.
SIGMETRICS Perform. Evaluation Rev., 2015

Demystifying Casualties of Evictions in Big Data Priority Scheduling.
SIGMETRICS Perform. Evaluation Rev., 2015

A simulation framework for priority scheduling on heterogeneous clusters.
Future Gener. Comput. Syst., 2015

PRACTISE - Demonstrating a Neural Network Based Framework for Robust Prediction of Data Center Workload.
Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

The GENiC Architecture for Integrated Data Centre Energy Management.
Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing, 2015

When Virtual Meets Physical at the Edge: A Field Study on Datacenters' Virtual Traffic.
Proceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, 2015

Contention detection by throttling: A black-box on-line approach.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

Catching failures of failures at big-data clusters: A two-level neural network approach.
Proceedings of the 23rd IEEE International Symposium on Quality of Service, 2015

Optimizing capacity allocation for big data applications in cloud datacenters.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Catching the response time tail in the cloud.
Proceedings of the IFIP/IEEE International Symposium on Integrated Network Management, 2015

Optimizing Energy, Locality and Priority in a MapReduce Cluster.
Proceedings of the 2015 IEEE International Conference on Autonomic Computing, 2015

Recouping Energy Costs From Cloud Tenants: Tenant Demand Response Aware Pricing Design.
Proceedings of the 2015 ACM Sixth International Conference on Future Energy Systems, 2015

Understanding the Dark Side of Big Data Clusters: An Analysis beyond Failures.
Proceedings of the 45th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2015

PRACTISE: Robust prediction of data center time series.
Proceedings of the 11th International Conference on Network and Service Management, 2015

Understanding Unsuccessful Executions in Big-Data Systems.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Predicting and Mitigating Jobs Failures in Big Data Clusters.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

Analyzing the Impact of CPU Pinning and Partial CPU Loads on Performance and Energy Efficiency.
Proceedings of the 15th IEEE/ACM International Symposium on Cluster, 2015

2014
Quantifying the Brown Side of Priority Schedulers: Lessons from Big Clusters.
SIGMETRICS Perform. Evaluation Rev., 2014

What to expect when you are consolidating: effective prediction models of application performance on multicores.
Clust. Comput., 2014

Multi-resource characterization and their (in)dependencies in production datacenters.
Proceedings of the 2014 IEEE Network Operations and Management Symposium, 2014

ParSim: A Tool for Workload Modeling and Reproduction of Parallel Applications.
Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

Showstopper: The Partial CPU Load Tool.
Proceedings of the IEEE 22nd International Symposium on Modelling, 2014

Green MapReduce for heterogeneous data centers.
Proceedings of the IEEE Global Communications Conference, 2014

(Big)data in a virtualized world: volume, velocity, and variety in cloud datacenters.
Proceedings of the 12th USENIX conference on File and Storage Technologies, 2014

Failure Analysis of Virtual and Physical Machines: Patterns, Causes and Characteristics.
Proceedings of the 44th Annual IEEE/IFIP International Conference on Dependable Systems and Networks, 2014

2013
On load balancing: a mix-aware algorithm for heterogeneous systems.
Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2013

Parallelism profiling and wall-time prediction for multi-threaded applications.
Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2013

Transforming System Load to Throughput for Consolidated Applications.
Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013

Characterization Analysis of Resource Utilization Distribution.
Proceedings of the 2013 IEEE 21st International Symposium on Modelling, 2013

A datacenter network tale from a server's perspective.
Proceedings of the 21st IEEE/ACM International Symposium on Quality of Service, 2013

QoS-Aware Service VM Provisioning in Clouds: Experiences, Models, and Cost Analysis.
Proceedings of the Service-Oriented Computing - 11th International Conference, 2013

State-of-the-practice in data center virtualization: Toward a better understanding of VM usage.
Proceedings of the 2013 43rd Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2013

Join the Best Queue: Reducing Performance Variability in Heterogeneous Systems.
Proceedings of the 2013 IEEE Sixth International Conference on Cloud Computing, Santa Clara, CA, USA, June 28, 2013

2012
Find your best match: predicting performance of consolidated workloads.
Proceedings of the Third Joint WOSP/SIPEW International Conference on Performance Engineering, 2012

Cost-driven service provisioning in hybrid clouds.
Proceedings of the 2012 Fifth IEEE International Conference on Service-Oriented Computing and Applications (SOCA), 2012

Usage patterns in multi-tenant data centers: a temporal perspective.
Proceedings of the 9th International Conference on Autonomic Computing, 2012

Achieving application-centric performance targets via consolidation on multicores: myth or reality?
Proceedings of the 21st International Symposium on High-Performance Parallel and Distributed Computing, 2012

Model-driven consolidation of Java workloads on multicores.
Proceedings of the IEEE/IFIP International Conference on Dependable Systems and Networks, 2012

Deferred methods: accelerating dynamic program analysis on multicores.
Proceedings of the 10th Annual IEEE/ACM International Symposium on Code Generation and Optimization, 2012

Dynamic Replication in Service-Oriented Systems.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012

Opportunistic Service Provisioning in the Cloud.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

Data Centers in the Cloud: A Large Scale Performance Study.
Proceedings of the 2012 IEEE Fifth International Conference on Cloud Computing, 2012

2011
Optimizing service replication in clouds.
Proceedings of the Winter Simulation Conference 2011, 2011

Towards realizing a low cost and highly available datacenter power infrastructure.
Proceedings of the 4th Workshop on Power-Aware Computing and Systems, 2011

On the convergence to fairness in overloaded FIFO systems.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Minimizing retrieval latency for content cloud.
Proceedings of the INFOCOM 2011. 30th IEEE International Conference on Computer Communications, 2011

Minimizing Retrieval Cost of Multi-Layer Content Distribution Systems.
Proceedings of IEEE International Conference on Communications, 2011

2010
Content Retrieval Delay Driven by Caching Policy and Source Selection.
Proceedings of the MASCOTS 2010, 2010

Load-Balancing Dynamic Service Binding in Composition Execution Engines.
Proceedings of the 5th IEEE Asia-Pacific Services Computing Conference, 2010

End-to-end congestion management for non-blocking multi-stage switching fabrics.
Proceedings of the 2010 ACM/IEEE Symposium on Architecture for Networking and Communications Systems, 2010

Throughput of random arbitration for approximate matchings.
Proceedings of the 2010 ACM/IEEE Symposium on Architecture for Networking and Communications Systems, 2010

2009
Optimization of link bandwidth for parallel communication performance.
Proceedings of the 28th International Performance Computing and Communications Conference, 2009

Server Frequency Control Using Markov Decision Processes.
Proceedings of the INFOCOM 2009. 28th IEEE International Conference on Computer Communications, 2009

Caching Video Contents in IPTV Systems with Hierarchical Architecture.
Proceedings of IEEE International Conference on Communications, 2009

2006
Consolidating clients on back-end servers with co-location and frequency control.
Proceedings of the Joint International Conference on Measurement and Modeling of Computer Systems, 2006

A first-principles based LPV modeling and design for performance management of Internet Web servers.
Proceedings of the American Control Conference, 2006

2005
Managing server energy and operational costs in hosting centers.
Proceedings of the International Conference on Measurements and Modeling of Computer Systems, 2005

2004
Pricing-based strategies for autonomic control of web servers for time-varying request arrivals.
Eng. Appl. Artif. Intell., 2004

Pricing and Autonomic Control of Web Servers with Time-Varying Request Patterns.
Proceedings of the 1st International Conference on Autonomic Computing (ICAC 2004), 2004


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