ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2212.13882
  4. Cited By
QoS-Aware Resource Management for Multi-phase Serverless Workflows with
  Aquatope

QoS-Aware Resource Management for Multi-phase Serverless Workflows with Aquatope

28 December 2022
Zhuangzhuang Zhou
Yanqi Zhang
Christina Delimitrou
ArXivPDFHTML

Papers citing "QoS-Aware Resource Management for Multi-phase Serverless Workflows with Aquatope"

3 / 3 papers shown
Title
Benchmarking, Analysis, and Optimization of Serverless Function
  Snapshots
Benchmarking, Analysis, and Optimization of Serverless Function Snapshots
Dmitrii Ustiugov
Plamen Petrov
Marios Kogias
Edouard Bugnion
Boris Grot
44
171
0
16 Jan 2021
Serverless in the Wild: Characterizing and Optimizing the Serverless
  Workload at a Large Cloud Provider
Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider
Mohammad Shahrad
Rodrigo Fonseca
Íñigo Goiri
G. Chaudhry
Paul Batum
Jason Cooke
Eduardo Laureano
Colby Tresness
M. Russinovich
Ricardo Bianchini
81
601
0
06 Mar 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,136
0
06 Jun 2015
1