Effect of Hyper-Threading in Latency-Critical Multithreaded Cloud Applications and Utilization Analysis of the Major System Resources-Reference-Cited by-同舟云学术

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Effect of Hyper-Threading in Latency-Critical Multithreaded Cloud Applications and Utilization Analysis of the Major System Resources

Published:2022-06 Issue: Volume:131 Page:194-208
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Pons Lucía^ORCID,Feliu Josué^ORCID,Puche José,Huang Chaoyi,Petit Salvador,Pons Julio,Gómez María E.,Sahuquillo Julio

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference42 articles.

1. MongoDB,2020

2. NGINX,2020

3. Copart: Coordinated partitioning of last-level cache and memory bandwidth for fairness-aware workload consolidation on commodity servers;Park,2019

4. Hypart: A hybrid technique for practical memory bandwidth partitioning on commodity servers;Park,2018

5. Heracles: Improving resource efficiency at scale;Lo,2015

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2. Station: Gesture-Based Authentication for Voice Interfaces;IEEE Internet of Things Journal;2024-06-15

3. Energy-minimizing workload splitting and frequency selection for guaranteed performance over heterogeneous cores;The 15th ACM International Conference on Future and Sustainable Energy Systems;2024-05-31

4. A modular approach to build a hardware testbed for cloud resource management research;The Journal of Supercomputing;2023-12-27

5. Stratus: A Hardware/Software Infrastructure for Controlled Cloud Research;2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP);2023-03

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