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Network Monitoring is People: Understanding End-user Perception of Network Problems
| Content Provider | Semantic Scholar |
|---|---|
| Author | Miller, James S. Mondal, Amit Potharaju, Rahul Dinda, Peter A. Kuzmanovic, Aleksandar |
| Copyright Year | 2010 |
| Abstract | It is widely assumed that certain network characteristics cause end-user irritation with network performance. These assumptions then drive the selection of quality of service parameters or the goals of adaptive systems. We have developed a methodology and toolchain, SoylentLogger, that employs user studies to empirically investigate such assumptions. SoylentLogger collects client-centric network measurement data that is labeled by the end-user as being associated with irritation at perceived network performance (or not). The data collection and labeling occurs in real-time as the user normally uses the network. We conducted a user study that produced the equivalent of two years of labeled data, and then used that data to test various assumptions about network sources of user irritation that are commonly made. A number of these assumptions were found wanting. This project is made possible by support from the National Science Foundation (NSF) via grants 0720691 and 0746360 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cs.northwestern.edu/~pdinda/Papers/NWU-EECS-10-04.pdf |
| Alternate Webpage(s) | http://cs.northwestern.edu/~pdinda/Papers/NWU-EECS-10-04.pdf |
| Alternate Webpage(s) | http://empathicsystems.org/Papers/NWU-EECS-10-04.pdf |
| Alternate Webpage(s) | http://www.empathicsystems.org/Papers/NWU-EECS-10-04.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
