Application and Delivery Control Optimization
Optimizing your experience
Application Optimization is an IT infrastructure strategy composed of a variety of technologies utilized by organizations to boost the availability, accessibility, security and overall performance of an enterprise network. Effectively implemented, business-critical applications and information can be delivered efficiently to a variety of users, both locally and around the world.
By employing a variety of techniques that are implemented within an organization’s IT infrastructure in order to amplify the functionality of a network, application performance optimization includes the monitoring of bandwidth capacity, application protocols, overall network traffic, application coding, network latency, potential attacks of software vulnerabilities and more. While each of these techniques adds to the effectiveness of a network’s application delivery, the best way to maintain efficient delivery methods is to utilize a proactive monitoring system to record and measure total end-to-end performance metrics. By closely observing the way in which specific networks function and by handling potential threats before problems arise, businesses can optimize their content networks. This allows for delivery paths to sustain the comprehensive health of an entire IT system and preserve efficient delivery paths for all business-critical applications.
Delivery Control Optimization
Delivery Control Optimization is a peer-to-peer, cloud-managed distribution method for efficiently delivering content to devices and reducing the need for more Internet bandwidth. Orchestrated by a cloud server, it is a distributed cache which uses peer-to-peer traffic on a network as an alternative source for downloading data. In this way, downloading from a number of different sources is made possible.
Typically, a particular download starts from the host device, which will open up more connections to peers in parallel over the network, distributing the data to be downloaded. The system is able to respond to the network environment dynamically, so if one peer is lost, it will find another and adjust automatically, without interrupting the download. As well, as each small piece is delivered, it is checked for data integrity. If it fails, it is discarded, and the same piece downloaded by another peer, again not interrupting the download. If all peers are lost, the download will continue from the host device.
By using this system of parallel operation and optimization, downloads are extremely fast and much more reliable.
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