Lei Jiao

Orcid: 0000-0002-3964-3172

Affiliations:
  • University of Oregon, Department of Computer and Information Science, Eugene, OR, USA
  • University of Göttingen, Germany (PhD 2014)
  • Alcatel-Lucent/Nokia Bell Labs, Dublin, Ireland


According to our database1, Lei Jiao authored at least 75 papers between 2011 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
Gamora: Learning-Based Buffer-Aware Preloading for Adaptive Short Video Streaming.
IEEE Trans. Parallel Distributed Syst., November, 2024

Online and Predictive Coordinated Cloud-Edge Scrubbing for DDoS Mitigation.
IEEE Trans. Mob. Comput., October, 2024

Taming Serverless Cold Start of Cloud Model Inference With Edge Computing.
IEEE Trans. Mob. Comput., August, 2024

Combining Regularization With Look-Ahead for Competitive Online Convex Optimization.
IEEE/ACM Trans. Netw., June, 2024

: Erasure-Coded Multi-Source Streaming for UHD Videos Within Cloud Native 5G Networks.
IEEE Trans. Mob. Comput., February, 2024

Client selection for federated learning using combinatorial multi-armed bandit under long-term energy constraint.
Comput. Networks, 2024

Scheduling Generative-AI Job DAGs with Model Serving in Data Centers.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Efficient Online DNN Inference with Continuous Learning in Edge Computing.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

Online Scheduling and Pricing for Multi-LoRA Fine-Tuning Tasks.
Proceedings of the 53rd International Conference on Parallel Processing, 2024

2023
Online Edge Computing Demand Response via Deadline-Aware V2G Discharging Auctions.
IEEE Trans. Mob. Comput., December, 2023

Scheduling In-Band Network Telemetry With Convergence-Preserving Federated Learning.
IEEE/ACM Trans. Netw., October, 2023

Online training data acquisition for federated learning in cloud-edge networks.
Comput. Networks, March, 2023

Online Scheduling Algorithm for Heterogeneous Distributed Machine Learning Jobs.
IEEE Trans. Cloud Comput., 2023

Orchestrating Blockchain with Decentralized Federated Learning in Edge Networks.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023

When Computing Power Network Meets Distributed Machine Learning: An Efficient Federated Split Learning Framework.
Proceedings of the 31st IEEE/ACM International Symposium on Quality of Service, 2023

Toward Sustainable AI: Federated Learning Demand Response in Cloud-Edge Systems via Auctions.
Proceedings of the IEEE INFOCOM 2023, 2023

EAVS: Edge-assisted Adaptive Video Streaming with Fine-grained Serverless Pipelines.
Proceedings of the IEEE INFOCOM 2023, 2023

2022
Incentivizing Federated Learning Under Long-Term Energy Constraint via Online Randomized Auctions.
IEEE Trans. Wirel. Commun., 2022

Online Orchestration of Collaborative Caching for Multi-Bitrate Videos in Edge Computing.
IEEE Trans. Parallel Distributed Syst., 2022

$run$ runData: Re-Distributing Data via Piggybacking for Geo-Distributed Data Analytics Over Edges.
IEEE Trans. Parallel Distributed Syst., 2022

EdgeDR: An Online Mechanism Design for Demand Response in Edge Clouds.
IEEE Trans. Parallel Distributed Syst., 2022

Scheduling Online EV Charging Demand Response via V2V Auctions and Local Generation.
IEEE Trans. Intell. Transp. Syst., 2022

Preemptive Scheduling for Distributed Machine Learning Jobs in Edge-Cloud Networks.
IEEE J. Sel. Areas Commun., 2022

CoAvoid: Secure, Privacy-Preserved Tracing of Contacts for Infectious Diseases.
IEEE J. Sel. Areas Commun., 2022

On-Demand or On-Premises: Online Mitigation of DDoS Attacks via Cloud-Edge Coordination.
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

Incentivizing Online Edge Caching via Auction - Based Subsidization.
Proceedings of the 19th Annual IEEE International Conference on Sensing, 2022

Power-of-2-arms for bandit learning with switching costs.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022

AI in 5G: The Case of Online Distributed Transfer Learning over Edge Networks.
Proceedings of the IEEE INFOCOM 2022, 2022

2021
On the Effective Parallelization and Near-Optimal Deployment of Service Function Chains.
IEEE Trans. Parallel Distributed Syst., 2021

Service Placement for Collaborative Edge Applications.
IEEE/ACM Trans. Netw., 2021

Towards Learning-Based, Content-Agnostic Detection of Social Bot Traffic.
IEEE Trans. Dependable Secur. Comput., 2021

Budget-Aware Online Control of Edge Federated Learning on Streaming Data With Stochastic Inputs.
IEEE J. Sel. Areas Commun., 2021

Learning for Learning: Predictive Online Control of Federated Learning with Edge Provisioning.
Proceedings of the 40th IEEE Conference on Computer Communications, 2021

2020
Online Placement and Scaling of Geo-Distributed Machine Learning Jobs via Volume-Discounting Brokerage.
IEEE Trans. Parallel Distributed Syst., 2020

Smart vehicular communication via 5G mmWaves.
Comput. Networks, 2020

Who's in Charge Here?: Scheduling EV Charging on Dynamic Grids via Online Auctions with Soft Deadlines.
Proceedings of the BuildSys '20: The 7th ACM International Conference on Systems for Energy-Efficient Buildings, 2020

Dynamic Distributed Edge Resource Provisioning via Online Learning across Timescales.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020

Provisioning Edge Inference as a Service via Online Learning.
Proceedings of the 17th Annual IEEE International Conference on Sensing, 2020

Online scheduling of heterogeneous distributed machine learning jobs.
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020

GeoClone: Online Task Replication and Scheduling for Geo-Distributed Analytics under Uncertainties.
Proceedings of the 28th IEEE/ACM International Symposium on Quality of Service, 2020

Scheduling DDoS Cloud Scrubbing in ISP Networks via Randomized Online Auctions.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

Resource-Efficient and Convergence-Preserving Online Participant Selection in Federated Learning.
Proceedings of the 40th IEEE International Conference on Distributed Computing Systems, 2020

In-Network Filtering of Distributed Denial-of-Service Traffic with Near-Optimal Rule Selection.
Proceedings of the ASIA CCS '20: The 15th ACM Asia Conference on Computer and Communications Security, 2020

2019
MOERA: Mobility-Agnostic Online Resource Allocation for Edge Computing.
IEEE Trans. Mob. Comput., 2019

On the Value of Look-Ahead in Competitive Online Convex Optimization.
Proc. ACM Meas. Anal. Comput. Syst., 2019

Dynamic Service Placement for Virtual Reality Group Gaming on Mobile Edge Cloudlets.
IEEE J. Sel. Areas Commun., 2019

Online Scheduling of Traffic Diversion and Cloud Scrubbing with Uncertainty in Current Inputs.
Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing, 2019

An Online Market Mechanism for Edge Emergency Demand Response via Cloudlet Control.
Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

Incentivizing Microservices for Online Resource Sharing in Edge Clouds.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

BotFlowMon: Learning-based, Content-Agnostic Identification of Social Bot Traffic Flows.
Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

2018
Corrections to "Smoothed Online Resource Allocation in Multi-Tier Distributed Cloud Networks".
IEEE/ACM Trans. Netw., 2018

Online Resource Allocation, Content Placement and Request Routing for Cost-Efficient Edge Caching in Cloud Radio Access Networks.
IEEE J. Sel. Areas Commun., 2018

Multiple Granularity Online Control of Cloudlet Networks for Edge Computing.
Proceedings of the 15th Annual IEEE International Conference on Sensing, 2018

Online Control of Cloud and Edge Resources Using Inaccurate Predictions.
Proceedings of the 26th IEEE/ACM International Symposium on Quality of Service, 2018

Service Entity Placement for Social Virtual Reality Applications in Edge Computing.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

2017
Smoothed Online Resource Allocation in Multi-Tier Distributed Cloud Networks.
IEEE/ACM Trans. Netw., 2017

Sieve: Actionable Insights from Monitored Metrics in Microservices.
CoRR, 2017

Sieve: actionable insights from monitored metrics in distributed systems.
Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference, Las Vegas, NV, USA, December 11, 2017

Online Resource Allocation for Arbitrary User Mobility in Distributed Edge Clouds.
Proceedings of the 37th IEEE International Conference on Distributed Computing Systems, 2017

2016
Optimizing Cost for Online Social Networks on Geo-Distributed Clouds.
IEEE/ACM Trans. Netw., 2016

Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing.
IEEE/ACM Trans. Netw., 2016

Achieving Energy Efficiency in Cloud Brokering.
CoRR, 2016

DeepX: A Software Accelerator for Low-Power Deep Learning Inference on Mobile Devices.
Proceedings of the 15th ACM/IEEE International Conference on Information Processing in Sensor Networks, 2016

Reconciling task assignment and scheduling in mobile edge clouds.
Proceedings of the 24th IEEE International Conference on Network Protocols, 2016

2015
Towards Operational Cost Minimization in Hybrid Clouds for Dynamic Resource Provisioning with Delay-Aware Optimization.
IEEE Trans. Serv. Comput., 2015

2014
Online Social Network Data Placement over Clouds.
PhD thesis, 2014

Multi-objective data placement for multi-cloud socially aware services.
Proceedings of the 2014 IEEE Conference on Computer Communications, 2014

Delay-Aware Cost Optimization for Dynamic Resource Provisioning in Hybrid Clouds.
Proceedings of the 2014 IEEE International Conference on Web Services, 2014

2013
Decentralizing Microblogging Services by Differentiating User Traffic Demands.
Prax. Inf.verarb. Kommun., 2013

Optimizing data center traffic of Online Social Networks.
Proceedings of the 19th IEEE Workshop on Local & Metropolitan Area Networks, 2013

Cloud-based computation offloading for mobile devices: State of the art, challenges and opportunities.
Proceedings of the 2013 Future Network & Mobile Summit, Lisboa, Portugal, July 3-5, 2013, 2013

2012
Cost optimization for Online Social Networks on geo-distributed clouds.
Proceedings of the 20th IEEE International Conference on Network Protocols, 2012

To offload or not to offload: An efficient code partition algorithm for mobile cloud computing.
Proceedings of the 1st IEEE International Conference on Cloud Networking, 2012

2011
Scaling Microblogging Services with Divergent Traffic Demands.
Proceedings of the Middleware 2011, 2011

COPSS: An Efficient Content Oriented Publish/Subscribe System.
Proceedings of the 2011 ACM/IEEE Symposium on Architectures for Networking and Communications Systems (ANCS), 2011


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