Skip to content
master
Switch branches/tags
Code

Latest commit

 

Git stats

Files

Permalink
Failed to load latest commit information.
Type
Name
Latest commit message
Commit time
 
 
src
 
 
 
 
 
 
 
 

This project was created in support of 'Automatic Scaling of Cloud-Based Web Applications,' a research paper I produced during my senior year at Brown University. Many thanks to Rodrigo Fonseca for his guidance and support during the semester. You can download a copy of the paper here.

ClusterMonitor

There exist many cloud-computing platforms, such as Amazon’s EC2, which allow the developer to quickly add and remove server instances on an hourly basis. Despite this capability, there is still no widespread solution for automating the scaling process, instead requiring periodic monitoring and human intervention to add or remove instances. I propose a solution to respond to an increase or decrease in traffic through the use of user-configurable rules to avoid the need for human intervention beyond the initial setup. The result is the potential for significant savings, both in time and money, for the developer.

Usage

In order to take advantage of ClusterMonitor, the developer must implement three basic things. First is an interface between ClusterMonitor and the cloud computing provider. This is necessary to allow ClusterMonitor to add instances to and remove instances from the cluster. Second is an interface between ClusterMonitor and the individual instances. This is necessary to allow ClusterMonitor to get system performance metrics. Finally, a set of rules must be input that determine what conditions must be met for ClusterMonitor to add and remove instances from the cluster.

About

ClusterMonitor monitors a cluster of computers and automatically brings them on or offline in response to load.

Resources

Releases

No releases published

Packages

No packages published