Liang Zhou

Affiliations:
  • University of California, Riverside, USA


According to our database1, Liang Zhou authored at least 12 papers between 2016 and 2022.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2022
Cottage: Coordinated Time Budget Assignment for Latency, Quality and Power Optimization in Web Search.
Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2022

2021
PAVER: Locality Graph-Based Thread Block Scheduling for GPUs.
ACM Trans. Archit. Code Optim., 2021

Balancing Latency and Quality in Web Search.
Proceedings of the IEEE International Conference on Networking, Architecture and Storage, 2021

2020
Energy Saving in Data Centers Through Traffic and Application Scheduling.
PhD thesis, 2020

PacketUsher: Exploiting DPDK to accelerate compute-intensive packet processing.
Comput. Commun., 2020

Gemini: Learning to Manage CPU Power for Latency-Critical Search Engines.
Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture, 2020

Swan: a two-step power management for distributed search engines.
Proceedings of the ISLPED '20: ACM/IEEE International Symposium on Low Power Electronics and Design, 2020

2019
Goldilocks: Adaptive Resource Provisioning in Containerized Data Centers.
Proceedings of the 39th IEEE International Conference on Distributed Computing Systems, 2019

DREAM: DistRibuted Energy-Aware traffic Management for Data Center Networks.
Proceedings of the Tenth ACM International Conference on Future Energy Systems, 2019

2018
Joint Server and Network Energy Saving in Data Centers for Latency-Sensitive Applications.
Proceedings of the 2018 IEEE International Parallel and Distributed Processing Symposium, 2018

2016
PacketUsher: A DPDK-based packet I/O engine for commodity PC.
Proceedings of the 2016 IEEE/CIC International Conference on Communications in China, 2016

Improving Multipath TCP for Latency Sensitive Flows in the Cloud.
Proceedings of the 5th IEEE International Conference on Cloud Networking, 2016


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