BibTeX for a paper by David Kotz at Dartmouth College.
For more information about this paper, visit this web page:
https://kotz.cs.dartmouth.edu/research/chen-thesis/index.html

@PhdThesis{chen:thesis,
  author =        {Guanling Chen},
  title =         {{Solar: Building A Context Fusion Network for Pervasive Computing}},
  school =        {Dartmouth Computer Science},
  year =          2004,
  month =         {August},
  copyright =     {Guanling Chen},
  address =       {Hanover, NH},
  URL =           {https://kotz.cs.dartmouth.edu/research/chen-thesis/index.html},
  note =          {Available as Dartmouth Computer Science Technical Report TR2004-514},
  abstract =      {The complexity of developing context-aware pervasive-computing applications calls for distributed software infrastructures that assist applications to collect, aggregate, and disseminate contextual data. In this dissertation, we present a Context Fusion Network (CFN), called Solar, which is built with a scalable and self-organized service overlay. Solar is flexible and allows applications to select distributed data sources and compose them with customized data-fusion operators into a directed acyclic information flow graph. Such a graph represents how an application computes high-level understandings of its execution context from low-level sensory data. To manage application-specified operators on a set of overlay nodes called Planets, Solar provides several unique services such as application-level multicast with policy-driven data reduction to handle buffer overflow, context-sensitive resource discovery to handle environment dynamics, and proactive monitoring and recovery to handle common failures. Experimental results show that these services perform well on a typical DHT-based peer-to-peer routing substrate. In this dissertation, we also discuss experience, insights, and lessons learned from our quantitative analysis of the input sensors, a detailed case study of a Solar application, and development of other applications in different domains.},
}