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| Content Provider | ACM Digital Library |
|---|---|
| Editor | Taft, Nina Choffnes, David Jung, Jaeyeon Wetherall, David Teixeira, Renata |
| Copyright Year | 2011 |
| Abstract | It is our pleasure to welcome you to the Workshop on Measurements Up the Stack (W-MUST), which is co-located with SIGCOMM 2011. W-MUST features position papers on Internet measurement that focus on the behavior of networked applications and user perceptions of Internet services. Since this is the first W-MUST it is natural to ask why we organized this workshop, and what we hope to achieve by it. We organized W-MUST because of trends we noted in Internet measurement research. Unlike classic measurement techniques that use packet traces to understand network properties, a growing body of Internet measurement struggles to understand the behavior of networked applications. This work benefits from application-level measurements taken on end-hosts because network-level packet traces often see only a portion of what constitutes an application. And by working "up the stack" this work inevitably runs into the challenges of user-facing research. These challenges include gathering data on how users exercise networked applications, assessing how well they perceive the applications to work, and encouraging users to contribute measurements taken from their end-host. It is our hope that W-MUST brings together researchers across the disciplines of networking and HCI to discuss research at their intersection. By doing so we intend to nurture new lines of research in the community to tackle the challenges above, and to deepen our understanding of the applications and users that make use of the network. Such a multi-disciplinary approach could foster the development of techniques for data collection "up the stack", and for labeling, correlating and predicting data across the network, application and user layers. Moreover, a multi-disciplinary approach could lead to interesting solutions for problems such as performance diagnosis, security and privacy, personalized computing, and keeping users informed on performance issues that matter to them. |
| ISBN | 9781450308007 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2011-08-19 |
| Access Restriction | Subscribed |
| Content Type | Text |
| Resource Type | Conference Proceedings |
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