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Load Balancing & Redundancy in the CloudStephen Spector, Cloud Evangelist, Dell | 5/18/2012 |
In my recent blog on how virtualization is the building block of cloud computing, I was asked a question about how load balancing and redundancy work if a server in the cloud crashes. This is an excellent question -- and a useful one in seeing how cloud suppliers can provide high levels of uptime while running commodity hardware.
A load balancer is a physical device or machine running in the cloud that receives requests from clients to supply a Website or application running in the cloud and must choose a server in the cloud running the requested Website or application. Most clients have multiple virtual machines running on several servers for the load balancer to choose from. Users want to avoid having all the virtual machines running on one server, because they would lose all access should that server crash. The load balancer would look for the server with the least amount of CPU or memory use (settings determined by administrator) and select a VM on that machine to ensure the best performance for the client from a given server. The image below from Cavemans's blog shows the load balancing concept with the addition of a firewall in front of the load balancer.
As for redundancy, you can easily see how a set of virtual machines being load balanced across multiple servers is always available, regardless of the status of a given server. Should one of the servers go down, clients will still have access to the VM. It will be available on other servers and can be started on new servers easily to keep the number of available VMs constant. A good, simple overview of load balancing in the cloud is presented in this four-minute video. The presenters use the term "horizontal scaling" to describe the results of a load balanced set of virtual machines. The blogs and comments posted on EnterpriseEfficiency.com do not reflect the views of TechWeb, EnterpriseEfficiency.com, or its sponsors. EnterpriseEfficiency.com, TechWeb, and its sponsors do not assume responsibility for any comments, claims, or opinions made by authors and bloggers. They are no substitute for your own research and should not be relied upon for trading or any other purpose. |
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