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. 1609.09224
  4. Cited By
Auto-scaling Web Applications in Clouds: A Taxonomy and Survey

Auto-scaling Web Applications in Clouds: A Taxonomy and Survey

29 September 2016
Chenhao Qu
R. Calheiros
Rajkumar Buyya
ArXivPDFHTML

Papers citing "Auto-scaling Web Applications in Clouds: A Taxonomy and Survey"

5 / 5 papers shown
Title
FIRM: An Intelligent Fine-Grained Resource Management Framework for
  SLO-Oriented Microservices
FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices
Haoran Qiu
Subho Sankar Banerjee
Saurabh Jha
Zbigniew T. Kalbarczyk
Ravishankar Iyer
28
259
0
19 Aug 2020
Self-Adaptive Trade-off Decision Making for Autoscaling Cloud-Based
  Services
Self-Adaptive Trade-off Decision Making for Autoscaling Cloud-Based Services
Tao Chen
Rami Bahsoon
24
62
0
21 Aug 2016
Dynamic Selection of Virtual Machines for Application Servers in Cloud
  Environments
Dynamic Selection of Virtual Machines for Application Servers in Cloud Environments
N. Grozev
Rajkumar Buyya
11
8
0
07 Feb 2016
A Reliable and Cost-Efficient Auto-Scaling System for Web Applications
  Using Heterogeneous Spot Instances
A Reliable and Cost-Efficient Auto-Scaling System for Web Applications Using Heterogeneous Spot Instances
Chenhao Qu
R. Calheiros
Rajkumar Buyya
26
85
0
17 Sep 2015
DEPAS: A Decentralized Probabilistic Algorithm for Auto-Scaling
DEPAS: A Decentralized Probabilistic Algorithm for Auto-Scaling
N. M. Calcavecchia
B. A. Caprarescu
E. D. Nitto
Daniel J. Dubois
D. Petcu
69
59
0
12 Feb 2012
1