Posts tagged architecture diagram
EC2 Site Architecture Diagrams – Cloud Computing Images
May 5th
The following diagrams will show some of the common site architectures in the Cloud. Depending on your computer resource requirements and budget, RightScale provides you with the flexibility to create a custom architecture that provides the necessary performance and failover redundancy necessary to run your site in the Cloud. Several of the most common architectures are described below. Use one of the setups below as a model or easily customize a setup for your own purposes.
All-in-one Single Server Setup
Use one of the “All-in-one” ServerTemplates, such as the LAMP (Linux, Apache, MySQL, PHP) ServerTemplate to launch a single server that contains Apache, as well as your application and database.
Basic 4-Server Setup with EBS
This is the most common architecture on the cloud. Each front-end server acts as a load balancer and application server. You also have a master and slave database for redundancy and failover. Backups of your database are saved as EBS Snapshots.
Basic 4-Server Setup without EBS
If you do not require the persistent storage of EBS, you may consider using our standard MySQL-S3 setup, which saves regular backups to your S3 bucket. Each front-end server acts as a load balancer and application server. You also have a master and slave database for redundancy and failover. Backups of your database are saved as gziped (*.gz) dump files. You can use the same non-EBS, MySQL-S3 database setup in other architectures as well.
Intermediate 6-Server Setup
In the intermediate architecture, the two front end servers are used strictly as load balancers, so you can expand out the number of application servers.
Images and Source provided by: RightScale
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Extraordinary Measures: Computing in the Cloud for Cancer
Jan 29th
Nice article that I came across…
One of the promises of the cloud is the power to join computing resources to solve the scientific mysteries of our time. On the backdrop of biomedical research, the challenges to join minds and computers together are also immense. Not only is the subject material complicated, it also is sensitive from both a time and privacy point of view. It is critical to get it right as people’s lives are at stake, and any new discovery requires comprehensive peer review and an unerring trail of evidence.
With these considerations in mind, the National Cancer Institute has been making significant progress with the caBIG (Cancer Biomedical Informatics Grid) project. It is focused on setting standards for sharing computing resources and data in the effort to cure cancer.
The caBIG charter is enormous and visionary: “The National Cancer Institute is launching a 21st century information initiative that will transform the way we do cancer research. We are creating a network that will freely connect the entire cancer community. In doing so, we are leveraging valuable resources and saving precious time toward new discoveries.”
Imaging
A number of peer-reviewed articles on the use of imaging using the caBIG have been released. A paper titled “e-Science, caGrid, and Translational Biomedical Research” offers insight into the mindset of biomedical researchers.
“Translational research projects target a wide variety of diseases, test many different kinds of biomedical hypotheses, and employ a large assortment of experimental methodologies. Diverse data, complex execution environments, and demanding security and reliability requirements make the implementation of these projects extremely challenging and require novel e-Science technologies.”
To make its shared research work across the industry requires unique approaches in computing architecture. An architecture diagram gives a peek into the system that has been designed to meet the challenge.
