Devices will only download missing chunks of data from the internet (from an HTTP source) when those portions of the data aren’t available from other devices on the network. Since the workstations and servers are running and connected to power almost all the time, the IT administrator believes that the devices would benefit from caching chunks of their downloads for a long period of time so that new devices joining the network can download almost everything locally, including new Windows and Office updates, drivers, and common applications like the Ubuntu app. Each workstation also has multiple Office 365 applications installed, and some developers have downloaded the Ubuntu app from the Microsoft Store, which is over 200 MB in size. Every device is connected to the organization’s Active Directory domain. The workstations run Windows 10 Enterprise, and the build servers run Windows Server.
They have two VLANs configured, one for the wired desktops used by developers, and another for their servers, including some build servers. Imagine an organization that resides on a single floor of a skyscraper in a large city. While these scenarios may not align strictly to real-life scenarios, this case study of Microsoft’s use of Delivery Optimization provides deeper insight into using peer-to-peer update distribution on a large scale. This post outlines some potential scenarios that your organization might be required to accommodate, and the options you have when configuring Delivery Optimization to help you manage bandwidth. In almost any network, Delivery Optimization can be a highly effective tool, efficiently delivering content to devices and reducing the need for more internet bandwidth. When speaking with our customers, we often hear that they have regional facilities in limited and/or metered markets where devices download the same content, redundantly impacting coveted bandwidth and, ultimately, the organization’s financial bottom line.
In many business networks, downloading apps and updates can be slow, inefficient, and, in many markets, expensive.
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