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Patterns in the Chaos - a Study of Performance Variation and
  Predictability in Public IaaS Clouds
v1v2 (latest)

Patterns in the Chaos - a Study of Performance Variation and Predictability in Public IaaS Clouds

10 November 2014
Philipp Leitner
Jürgen Cito
ArXiv (abs)PDFHTML

Papers citing "Patterns in the Chaos - a Study of Performance Variation and Predictability in Public IaaS Clouds"

22 / 22 papers shown
Title
Predicting Configuration Performance in Multiple Environments with
  Sequential Meta-learning
Predicting Configuration Performance in Multiple Environments with Sequential Meta-learning
Jingzhi Gong
Tao Chen
65
10
0
05 Feb 2024
Event-Driven Testing For Edge Applications
Event-Driven Testing For Edge Applications
F. Nikolaidis
A. Chazapis
M. Marazakis
A. Bilas
19
1
0
23 Dec 2022
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using
  Graph Neural Networks
TEP-GNN: Accurate Execution Time Prediction of Functional Tests using Graph Neural Networks
H. Samoaa
Antonio Longa
Mazen Mohamad
M. Chehreghani
Philipp Leitner
GNN
118
10
0
25 Aug 2022
IaaS Signature Change Detection with Performance Noise
IaaS Signature Change Detection with Performance Noise
Sheik Mohammad Mostakim Fattah
A. Bouguettaya
17
0
0
07 Oct 2021
A Case Study on the Stability of Performance Tests for Serverless
  Applications
A Case Study on the Stability of Performance Tests for Serverless Applications
Simon Eismann
D. Costa
Lizhi Liao
Cor-Paul Bezemer
Weiyi Shang
A. Hoorn
Samuel Kounev
33
26
0
28 Jul 2021
An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An
  Extended Report
An Empirical Analysis of VM Startup Times in Public IaaS Clouds: An Extended Report
Jianwei Hao
Ting Jiang
Wei Wang
I. Kim
VLMAI4TS
42
15
0
07 Jul 2021
BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms
BeFaaS: An Application-Centric Benchmarking Framework for FaaS Platforms
M. Grambow
Tobias Pfandzelter
Luk Burchard
Carsten Schubert
Max Zhao
David Bermbach
70
34
0
25 Feb 2021
Event-based Detection of Changes in IaaS Performance Signatures
Event-based Detection of Changes in IaaS Performance Signatures
Sheik Mohammad Mostakim Fattah
A. Bouguettaya
31
4
0
22 Jul 2020
Understanding the Nature of System-Related Issues in Machine Learning
  Frameworks: An Exploratory Study
Understanding the Nature of System-Related Issues in Machine Learning Frameworks: An Exploratory Study
Yang Ren
Gregory Gay
Christian Kastner
Pooyan Jamshidi
24
3
0
13 May 2020
Function-as-a-Service Performance Evaluation: A Multivocal Literature
  Review
Function-as-a-Service Performance Evaluation: A Multivocal Literature Review
Joel Scheuner
Philipp Leitner
35
49
0
07 Apr 2020
Impact of etcd Deployment on Kubernetes, Istio, and Application
  Performance
Impact of etcd Deployment on Kubernetes, Istio, and Application Performance
L. Larsson
William Tarneberg
C. Klein
E. Elmroth
M. Kihl
45
44
0
05 Mar 2020
Duet Benchmarking: Improving Measurement Accuracy in the Cloud
Duet Benchmarking: Improving Measurement Accuracy in the Cloud
L. Bulej
Vojtech Horký
P. Tůma
François Farquet
Aleksandar Prokopec
27
19
0
16 Jan 2020
Is Big Data Performance Reproducible in Modern Cloud Networks?
Is Big Data Performance Reproducible in Modern Cloud Networks?
Alexandru Uta
Alexandru Custura
Dmitry Duplyakin
I. Jimenez
Jan S. Rellermeyer
C. Maltzahn
R. Ricci
Alexandru Iosup
38
63
0
19 Dec 2019
Profile-based Resource Allocation for Virtualized Network Functions
Profile-based Resource Allocation for Virtualized Network Functions
Steven Van Rossem
W. Tavernier
D. Colle
M. Pickavet
P. Demeester
28
39
0
18 Nov 2019
Learning Software Configuration Spaces: A Systematic Literature Review
Learning Software Configuration Spaces: A Systematic Literature Review
Juliana Alves Pereira
Hugo Martin
M. Acher
J. Jézéquel
Goetz Botterweck
Anthony Ventresque
60
90
0
07 Jun 2019
Transferable Knowledge for Low-cost Decision Making in Cloud
  Environments
Transferable Knowledge for Low-cost Decision Making in Cloud Environments
F. Samreen
G. Blair
Yehia El-khatib
22
9
0
07 May 2019
Task Runtime Prediction in Scientific Workflows Using an Online
  Incremental Learning Approach
Task Runtime Prediction in Scientific Workflows Using an Online Incremental Learning Approach
Muhammad H. Hilman
M. A. Rodriguez
Rajkumar Buyya
34
50
0
10 Oct 2018
Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A
  Taxonomy and Future Directions
Multiple Workflows Scheduling in Multi-tenant Distributed Systems: A Taxonomy and Future Directions
Muhammad H. Hilman
M. A. Rodriguez
Rajkumar Buyya
39
43
0
14 Sep 2018
Same Same, but Different: A Descriptive Differentiation of Intra-cloud
  Iaas Services
Same Same, but Different: A Descriptive Differentiation of Intra-cloud Iaas Services
Yehia El-khatib
F. Samreen
G. Blair
17
1
0
10 Feb 2018
A Survey and Taxonomy of Resource Optimisation for Executing Bag-of-Task
  Applications on Public Clouds
A Survey and Taxonomy of Resource Optimisation for Executing Bag-of-Task Applications on Public Clouds
Long Thai
Blesson Varghese
Adam Barker
26
45
0
24 Nov 2017
Transfer Learning for Performance Modeling of Configurable Systems: An
  Exploratory Analysis
Transfer Learning for Performance Modeling of Configurable Systems: An Exploratory Analysis
Pooyan Jamshidi
Norbert Siegmund
Miguel Velez
Christian Kastner
Akshay Patel
Yuvraj Agarwal
83
116
0
07 Sep 2017
Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and
  Benchmarking As-a-Service Framework
Cross-Layer Multi-Cloud Real-Time Application QoS Monitoring and Benchmarking As-a-Service Framework
Khalid Alhamazani
R. Ranjan
Prem Prakash Jayaraman
Karan Mitra
Chang Liu
F. Rabhi
Dimitrios Georgakopoulos
Lizhe Wang
87
47
0
01 Feb 2015
1