Enomaly Inc today announced the creation of GeoStratus. The GeoStratus Elastic Computing Network is a geographically-targeted content delivery service that leverages a global network of low-cost hosting centers. From North America to Europe to Asia, GeoStratus incorporates clouds of targeted virtual server clusters with advanced content network architecture that automatically adjust to peak internet usage & demands.

Learn more About GeoStratus at www.Geostratus.com

GeoStratus provides virtually unlimited scalability for the timely delivery of rich content across diverse geo-targeted computing environments. GeoStratus allows users to easily adjust for surges in the popularity of their web applications while translating success into revenue and market share. Some of the world’s largest and most successful websites & organizations have profited from GeoStratus’ customized worldwide, geo-targeted, private content delivery networks (pCDN).

Team with GeoStratus to create a custom content delivery solution

While GeoStratus Networks' standard products satisfy the distribution needs of most content providers, your organization may have unique requirements dictated by your technology, existing deployment, or business model. We welcome the opportunity to work with you to create a custom solution that suits your specific needs.

Geo-Targeted Content Delivery Network

Content Delivery Network (CDN) is a term coined in the late 90s to describe a system of computers networked together across the Internet that cooperate transparently to deliver content (especially large media content) to end users.

CDN nodes are deployed in multiple locations, often over multiple backbones. These nodes cooperate with each other to satisfy requests for content by end users, transparently moving content behind the scenes to optimize the delivery process. Optimization can take the form of reducing bandwidth costs, improving end-user performance, or both.

The number of nodes and servers making up a CDN varies, depending on the architecture, some reaching thousands of nodes with tens of thousands of servers.

Requests for content are intelligently directed to nodes that are optimal in some way. When optimizing for performance, locations that can serve content quickly to the user may be chosen. This may be measured by choosing locations that are the fewest hops or fewest number of network seconds away from the requestor, so as to optimize delivery across local networks. When optimizing for cost, locations that are less expensive to serve from may be chosen instead. Often these two goals tend to align, as servers that are close to the end user sometimes have an advantage in serving costs, perhaps because they are located within the same network as the end user.

What is Geo-Targeting

A sudden increase in traffic from China? No problem, the load balancer creates 10 new instances in the Asian Cloud and point all Chinese traffic to those instances.

Geotargeting, or geographical targeting, is a way for servers and applications to automatically adjust for a geographical location. Load Balancing tied directly to geo-targeting allows you to target system resource more specifically to the region requiring the most demand. Each cloud could handle various "storm fronts" and allows customers to intellegently & elastically adapt their environment based on real world conditions. This approach allows for an adaptive scaling for only the regions that require it. By providing operating system level geotargeting, administrators can more intellegently create an elastic computing server environment.

Edge Computing

When using edge computing, fragments of the intended applications are replicated across a vast distributed network of web servers. This type of technology is not completely new. Many large organizations have had to deploy Web server farms with clustering to ensure acceptable performance.

Edge computing now makes this technology available to all businesses small, medium and large. The technology does however impose certain limitations to the choice of technology platform and even to the implementations in that the applications need to be specifically developed for edge computing.

Edge computing is based on a charged for network services model. The end user is any Internet user making use of a commercial Internet service. The customer for edge servers is the organizations wanting to linearly scale their business application performance to the growth of is subscriber base.

Grid computing

Edge computing and Grid computing are related. Whereas Grid computing would be hardcoded into a specific application to distribute its complex and resource intensive computational needs across a global grid of cheap networked machines, Edge computing provides a generic template facility for any type of application to spread its execution across a dedicated grid of prepared expensive machines.