Publications

Here is a selected list of my publications. Please check DBLP or similar sites for a complete list.

2024

A Little Certainty is All We Need: Discovery and Synchronization Acceleration in Battery-Free IoT
Gaosheng Liu, Vinode Nigade, Henri Bal, Lin Wang
ACM APNet, co-located with ACM SIGCOMM, Sydney, Australia, 2024. (Accepted)

IPA: Inference Pipeline Adaptation to Achieve High Accuracy and Cost-Efficiency
Saeid Ghafouri, Kamran Razavi, Mehran Salmani, Alireza Sanaee, Tania Lorido Botran, Lin Wang, Joseph Doyle, Pooyan Jamshidi
Journal of Systems Research (JSys), 2024. (Accepted)

Sponge: Inference Serving with Dynamic SLOs Using In-Place Vertical Scaling
Kamran Razavi, Saeid Ghafouri, Max Mühlhäuser, Pooyan Jamshidi, Lin Wang
ACM EuroMLSys@EuroSys, Athens, Greece, April 2024.

𝜆Grapher: A Resource-Efficient Serverless System for GNN Serving through Graph Sharing
Haichuan Hu, Fangming Liu, Qiangyu Pei, Yongjie Yuan, Zichen Xu, Lin Wang
ACM The Web Conference (WWW), Singapore, 2024. (Accepted)

Train Once Apply Anywhere: Effective Scheduling for Network Function Chains Running on FUMES
Marcel Blöcher, Nils Nedderhut, Pavel Chuprikov, Ramin Khalili, Patrick Eugster, Lin Wang
IEEE INFOCOM, Vancouver, Canada, 2024. (Accepted)

X-Stream: A Flexible, Adaptive Video Transformer for Privacy-Preserving Video Stream Analytics
Dou Feng, Lin Wang, Shutong Chen, Lingching Tung, Fangming Liu
IEEE INFOCOM, Vancouver, Canada, 2024. (Accepted)

2023

Inference Serving with End-to-End Latency SLOs over Dynamic Edge Networks
Vinod Nigade, Pablo Bauszat, Henri Bal, Lin Wang
Real-Time Systems, preprint, 2023.

Routing for Intermittently-Powered Sensing Systems
Gaosheng Liu, Lin Wang
IEEE IPCCC, Anaheim, CA, November 2023. (Best Paper Award)

Graft: Efficient Inference Serving for Hybrid Deep Learning with SLO Guarantee via DNN Re-alignment
Jing Wu, Lin Wang, Qirui Jin, Fangming Liu
IEEE Transactions on Parallel and Distributed Systems (TPDS), accepted.

2022

Distributed DNN Serving in the Network Data Plane
Kamran Razavi, George Karlos, Vinod Nigade, Max Mühlhäuser, Lin Wang
EuroP4, Rome, Italy, December 2022.

Jellyfish: Timely Inference Serving for Dynamic Edge Networks [code]
Vinod Nigade, Pablo Bauszat, Henri Bal, Lin Wang
IEEE RTSS, Houston, TX, December 2022. (Outstanding Paper Award)

Holistic Resource Scheduling for Data Center In-Network Computing
Marcel Blöcher, Lin Wang, Patrick Eugster, Max Schmidt
IEEE/ACM Transactions on Newtorking (ToN), vol. 30(6), December 2022.

Machine Learning for Computer Systems and Networking: A Survey
Marios Kanakis, Ramin Khalili, Lin Wang
ACM Computing Surveys (CSUR), vol. 55(4), pp. 1–36, November 2022.

FA2: Fast, Accurate Autoscaling for Serving Deep Learning Inference with SLA Guarantees
Kamran Razavi, Manisha Luthra, Boris Koldehofe, Max Mühlhäuser, Lin Wang
IEEE RTAS, Milano, Italy, May 2022.

2021

Don’t You Worry ‘Bout A Packet: Unified Programming for In-Network Computing
George Karlos, Henri Bal, Lin Wang
ACM HotNets, Virtual Event, November 2021.

Better Never Than Late: Timely Edge Video Analytics Over the Air
Vinod Nigade, Ramon Winder, Henri Bal, Lin Wang
ACM SenSys AIChallengeIoT, Coimbra, Portugal, November 2021.

Self-Sustainable Cyber-Physical Systems with Collaborative Intermittent Computing
Gaosheng Liu, Lin Wang
ACM e-Energy WEEE, Virtual Event, June 2021.

Switches for HIRE: Resource Scheduling for Data Center In-Network Computing [code]
Marcel Blöcher, Lin Wang, Patrick Eugster, Max Schmidt
ACM ASPLOS, Virtual Event, April 2021.

Service Placement for Collaborative Edge Applications
Lin Wang, Lei Jiao, Ting He, Jun Li, Henri Bal
IEEE/ACM Transactions on Networking (ToN), vol. 29(1), pp. 34-47, 2021.

2020

Clownfish: Edge and Cloud Symbiosis for Video Stream Analytics [slides][code]
Vinod Nigade, Lin Wang, Henri Bal
ACM/IEEE Symposium on Edge Computing (SEC), Virtual Event, Nov 2020.

Letting off STEAM: Distributed Runtime Traffic Scheduling for Service Function Chaining [code]
Marcel Blöcher, Ramin Khalili, Lin Wang, Patrick Eugster
IEEE INFOCOM, Virtual Event, Jul 2020.

Sharing and Caring of Data at the Edge [slides]
Animesh Trivedi*, Lin Wang*, Henri Bal, Alexandru Iosup
USENIX HotEdge, Virtual Event, Jun 2020.

Street Lamps as a Platform
Max Mühlhäuser, Christian Meurisch, Michael Stein, Jörg Daubert, Julius von Willich, Jan Riemann, Lin Wang
Communications of the ACM (CACM), vol. 63, no. 6, Jun 2020.

2019

Aves: A Decision Engine for Energy-efficient Stream Analytics across Low-power Devices
Roshan Bharath Das, Marc X. Makkes, Alexandru Uta, Lin Wang, Henri Bal
IEEE Big Data, Los Angeles, CA, Dec 2019.

An Online Market Mechanism for Edge Emergency Demand Response via Cloudlet Control
Shutong Chen, Lei Jiao, Lin Wang, Fangming Liu
IEEE INFOCOM, Paris, France, Apr 2019.

A Learning-based Framework for Optimizing Service Migration in Mobile Edge Clouds
Florian Brandherm, Lin Wang, Max Mühlhäuser
ACM EuroSys EdgeSys, Dresden, Germany, Mar 2019.

MOERA: Mobility-agnostic Online Resource Allocation for Edge Computing
Lin Wang, Lei Jiao, Jun Li, Julien Gedeon, Max Mühlhäuser
IEEE Transactions on Mobile Computing (TMC), vol. 18(8), pp. 1843-1856, 2019.

2018

From Cell Towers to Smart Street Lamps: Placing Cloudlets on Existing Urban Infrastructures
Julien Gedeon, Michael Stein, Jeff krisztinkovics, Patrick Felka, Katharina Keller, Chiristian Meurisch, Lin Wang, Max Mühlhäuser
ACM/IEEE Symposium on Edge Computing (SEC), Bellevue, WA, Oct 2018.

VirtualStack: Flexible Cross-layer Optimization via Network Protocol Virtualization
Jens Heuschkel, Lin Wang, Erik Fleckstein, Michael Ofenloch, Marcel Blöcher, Jon Crowcroft, Max Mühlhäuser
IEEE LCN, Chicago, USA, Oct 2018.

A Multi-Cloudlet Infrastructure for Future Smart Cities: An Empirical Study
Julien Gedeon, Jeff Krisztinkovics, Christian Meurisch, Michael Stein, Lin Wang, Max Mühlhäuser
ACM MobiSys EdgeSys, Munich, Germany, Jun 2018.

Multiple Granularity Online Control of Cloudlet Networks for Edge Computing
Lei Jiao, Lingjun Pu, Lin Wang, Xiaojun Lin, Jun Li
IEEE SECON, Hong Kong, China, Jun 2018.

Service Entity Placement for Social Virtual Reality Applications in Edge Computing
Lin Wang, Lei Jiao, Ting He, Jun Li, Max Mühlhäuser
IEEE INFOCOM, Honolulu, HI, Apr 2018.

Online Resource Allocation, Content Placement and Request Routing for Cost-efficient Edge Caching in Cloud Radio Access Networks
Lingjun Pu, Lei Jiao, Xu Chen, Lin Wang, Qinyi Xie, Jingdong Xu
IEEE Journal on Selected Areas in Communications (JSAC), vol. 36(8), pp. 1751-1767, 2018.

2017

Online Resource Allocation for Arbitrary User Mobility in Distributed Edge Clouds
Lin Wang, Lei Jiao, Jun Li, Max Mühlhäuser
IEEE ICDCS, Atlanta, GA, Jun 2017.

Distributed Graph-based Topology Adaptation using Motif Signatures
Michael Stein, Karsten Weihe, Augustin Wilberg, Roland Kluge, Julian M. Klomp, Mathias Schnee, Lin Wang, Max Mühlhäuser
ACM/SIAM ALENEX, Barcelona, Spain, Jan 2017.

A Scalable Hybrid Network Control Plane Design for Cloud Data Centers
Kai Zheng, Lin Wang, Baohua Yang, Yi Sun, Steve Uhlig
IEEE Transactions on Parallel Distributed Systems (TPDS), vol. 28(1), pp. 115-127, 2017.

Joint Optimization of Operational Cost and Performance Interference in Cloud Data Centers
Xibo Jin, Fa Zhang, Lin Wang, Songlin Hu, Biyu Zhou, Zhiyong Liu
IEEE Transactions on Cloud Computing (TCC), vol. 5(4), pp. 697–711, 2017.

2016

Reconciling Task Assignment and Scheduling in Mobile Edge Clouds
Lin Wang, Lei Jiao, Dzmitry Kliazovich, Pascal Bouvry
IEEE ICNP HotPNS, Singapore, Nov 2016. (Best Paper Award)

HDEER: A Distributed Routing Scheme for Energy-efficient Networking
Biyu Zhou, Fa Zhang, Lin Wang, Antonio Fernández, Youshi Wang, Jie Wu, Zhiyong Liu
IEEE Journal on Selected Areas in Communications (JSAC), vol. 34(5), pp. 1713-1727, 2016.

Power-efficient Assignment of Virtual Machines to Physical Machines
Jordi Arjona Aroca, Antonio Fernández, Miguel Mosteiro, Christopher Thraves, Lin Wang
Future Generation Computer Systems (FGCS), vol. 54(1), pp. 82-94, 2016.

2015 and Before

Energy-efficient Flow Scheduling and Routing with Hard Deadlines in Data Center Networks
Lin Wang, Fa Zhang, Kai Zheng, Shaolei Ren, Zhiyong Liu
IEEE ICDCS, Madrid, Spain, Jun 2014.

GreenDCN: A General Framework for Achieving Network Energy Efficiency in Data Centers
Lin Wang, Fa Zhang, Jordi Arjona Aroca, Kai Zheng, Chenying Hou, Dan Li, Zhiyong Liu
IEEE Journal on Selected Areas in Communications (JSAC), vol. 32(1), pp. 4-15, 2014.

Decentralized NIC-switching Architecture Using SR-IOV PCIe Network Devices
Dawei Zang, Zheng Cao, Zhan Wang, Xiaoli Liu, Lin Wang, Ninghui Sun
IEEE Micro, vol. 34(5), pp. 42-50, 2014.

Joint Virtual Machine Assignment and Traffic Engineering for Green Data Center Networks
Lin Wang, Fa Zhang, Chenying Hou, Zhiyong Liu
ACM SIGMETRICS Performance Evaluation Review (PER), vol. 41(3), pp. 107-112, 2013.

A Hop-by-hop Energy Efficient Distributed Routing Scheme
Chenying Hou, Fa Zhang, Antonio Fernández, Lin Wang, Zhiyong Liu
ACM SIGMETRICS Performance Evaluation Review (PER), vol. 41(3), pp. 101-106, 2013.