Linux-Tomcat Application Performance on Amazon AWS
Neil J. Gunther, Mohit Chawla
TL;DR
This paper explores how performance models can optimize the deployment of Linux-Tomcat applications on Amazon AWS to reduce costs and improve efficiency in cloud resource management.
Contribution
It introduces a method for applying performance models to determine the most cost-effective deployment strategies on Amazon AWS.
Findings
Performance models can identify optimal deployment configurations.
Cost savings are achievable through model-guided resource allocation.
Enhanced understanding of application performance in cloud environments.
Abstract
The need for Linux system administrators to do performance management has returned with a vengeance. Why? The cloud. Resource consumption in the cloud is all about pay-as-you-go. This article shows you how performance models can find the most cost-effective deployment of an application on Amazon's cloud.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCloud Computing and Resource Management · Distributed systems and fault tolerance · Advanced Data Storage Technologies