VS2010 – Load Test Network Emulation Profile
In Visual Studio Team System 2008 we had Network Emulation but a simple one, lots of times customers asked me is this network profile also simulate downstream? and not only upstream also how to simulate Latency? Now we got a lot more properties in the new Network Network Emulation that will help us create more persist Network Network Emulation for our Load Test.
Network Emulation Profile location for in house customizations:
C:\Program Files\Microsoft Visual Studio 10.0\Common7\IDE\Templates\LoadTest\Networks
Here is couple of new networks available in VS10:
UpStream \ DownStream Definition:
From the user’s perspective, upstream network traffic flows away from the local computer toward the remote destination. Conversely, downstream traffic flows to the user’s computer. Traffic on most networks flows in both upstream and downstream directions simultaneously, and often when data flows in one direction, network protocols often send control instructions (generally invisible to the user) in the opposite direction.
Latency is a time delay between the moment something is initiated, and the moment one of its effects begins or becomes detectable. The word derives from the fact that during the period of latency the effects of an action are latent, meaning "potential" or "not yet observed". Even within an engineering context, latency has several meanings depending on the engineering area concerned (i.e. communication, operational, simulation, mechanical, or biomedical fiber stimulation latencies).
Packet loss is the failure of one or more transmitted packets to arrive at their destination. This event can cause noticeable effects in all types of digital communications.
The process of lining up events in the order you want them processed. Whether it refers to packets in an IP network that search for the most optimal path to their destination, or telephone callers sitting in a "hold queue" waiting to be answered, queuing means the same thing: deciding on priorities through bottle-necked passageways. The science of queuing has developed many formulas for maximizing efficiency