Technical Overview
Server and Client
StifleR consists of two main parts. The StifleR server component and the StifleR clients.
Each StifleR client makes a lightweight connection to the StifleR server and sends up information about the current content download queue. This information is evaluated and the server (dynamically) assigns the most suitable system per Location to be the “Red Leader”. The Red Leader system is then responsible for downloading content and obeying the defined network bandwidth limits for that Location. Other clients at that same Location, that would otherwise also download the content from the remote source, will not download from the remote location but instead will throttle down, wait, and then copy the data locally from the Red Leader and other Peers using Microsoft P2P transfer functions. The end result is that rather than all clients downloading remote content, WAN traffic is limited to between the single Red Leader and the remote content server. Should the current Red Leader system become unavailable, a new Red Leader is automatically selected, which results in uninterrupted, efficient and dynamic workflow.
This functionality also extends to Windows 10 Delivery Optimization groups and respects the Bandwidth administrative settings present under any DO control policy that may be in place.
In StifleR Enterprise, this concept is further enhanced and expanded to the Site level with the introduction of Blue Leaders. Blue Leaders communicate with each other over Subnet boundaries. They pick up local broadcast discovery requests and pass these on to other Blue Leaders which can then broadcast these messages onto their local segment thus allowing the sharing of content with and between all the clients at a multi subnet location. The end result of this infrastructure is that content is downloaded only once over the WAN for an entire remote site with that content then shared directly between Peers on the well connected LAN.
Bandwidth Measurement - Beacon Server
The StifleR Beacon Server component is installed at your content server locations. This could be your regional datacentres where your CM Distribution Points are located for example. These then act as known end points to allow the StifleR clients to benchmark bandwidth parameters and set and tune limits accordingly.
SignalR Communication
StifleR is a typical Client – Server application that uses bi-directional communication channels. The Server hosts an OWIN (Open Web Interface for .NET) implementation of Microsoft SignalR. All communication is based on the Microsoft the Microsoft SignalR protocol, a web-sockets based protocol that runs over UDP, initiated first through an HTTP connection which then steps things up to web sockets. StifleR server also uses SignalR to communicate with the endpoint clients and any connected dashboards. Understanding how SignalR works is not mandatory to use StifleR but is required if custom scripting or advanced configuration of StifleR is to be undertaken. Please refer to the 2PintSoftware Website for advanced information on the Microsoft SignalR platform including “SignalR and Connection Management” on the Knowledge Base and the companion document to this guide “Securing StifleR Operations Using SSL” which includes SignalR configuration.
StifleR Rules
The StifleR client checks through its queue of active downloads (both BITS and DO) and then prioritizes them according to a locally held XML configuration file (StifleRulez.xml) which contains a set of rules that are configured centrally by the administrator and automatically downloaded by the clients.
This file contains a simple rule set that defines the content download jobs and the priority that the administrator has assigned to each job type.
As an example, Microsoft Maps sync could be set to a low priority, while Windows Update patches would be set to high. Using this rule set, you can effectively control which downloads should be completed ahead of others. All of these configuration settings can be changed centrally at any time with any such changes automatically replicated to your clients in seconds.
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