timetrader.pdf (664.18 kB)

TimeTrader: Exploiting Latency Tail to Save Datacenter Energy for On-line Data-Intensive Applications

Name: TimeTrader: Exploiting Latency Tail to Save Datacenter Energy for On-line Data-Intensive Applications
Published: 2022-08-20T23:44:58+00:00
License: http://rightsstatements.org/vocab/InC/1.0/
Keywords: 7 Affordable and Clean Energy

dataset

posted on 2022-08-20, 23:44 authored by Balajee VamananBalajee Vamanan, Hamza Bin Sohail, Jahangir Hasan, TN Vijaykumar

No description supplied

History

Citation

Seyri, AmirHossein, Abhisek Pan, and Balajee Vamanan. "MemSweeper: virtualizing cluster memory management for high memory utilization and isolation." Proceedings of the 2022 ACM SIGPLAN International Symposium on Memory Management. 2022.

TimeTrader: Exploiting Latency Tail to Save Datacenter Energy for On-line Data-Intensive Applications

History

Citation

Usage metrics

Categories

Keywords

Licence

Exports