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Performance prediction for burstable cloud resources
File(s)
valuetools16-final.pdf (214.33 KB)
Accepted version
Author(s)
Dubois, DJ
Casale, G
Type
Conference Paper
Abstract
We propose ForeBurst, an open source tool for performance prediction for complex cloud-based applications. ForeBurst leverages queueing network models for predicting performance metrics such as resource utilizations, request response times, and credit usage in burstable resources, such as the Amazon EC2 T-family instances.
Date Acceptance
2016-09-05
Citation
Proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools
URI
DOI
Publisher
ACM
Journal / Book Title
Proceedings of the 10th EAI International Conference on Performance Evaluation Methodologies and Tools
Copyright Statement
© 2016 ACM.
Sponsor
Commission of the European Communities
Commission of the European Communities
Grant Number
PIEF-GA-2013-629982
644869
Source
10th EAI International Conference on Performance Evaluation Methodologies and Tools
Publication Status
Accepted
Start Date
2016-10-26
Finish Date
2016-10-28
Coverage Spatial
Taormina, Italy
Date Publish Online
2017-05-01