The Gander search engine for personalized networked spaces
| dc.contributor.advisor | Julien, Christine | en |
| dc.contributor.committeeMember | Garg, Vijay | en |
| dc.creator | Michel, Jonas Reinhardt | en |
| dc.date.accessioned | 2013-03-05T15:11:21Z | en |
| dc.date.accessioned | 2017-05-11T22:32:15Z | |
| dc.date.available | 2017-05-11T22:32:15Z | |
| dc.date.issued | 2012-12 | en |
| dc.date.submitted | December 2012 | en |
| dc.date.updated | 2013-03-05T15:11:21Z | en |
| dc.description | text | en |
| dc.description.abstract | The vision of pervasive computing is one of a personalized space populated with vast amounts of data that can be exploited by humans. Such Personalized Networked Spaces (PNetS) and the requisite support for general-purpose expressive spatiotemporal search of the “here” and “now” have eluded realization, due primarily to the complexities of indexing, storing, and retrieving relevant information within a vast collection of highly ephemeral data. This thesis presents the Gander search engine, founded on a novel conceptual model of search in PNetS and targeted for environments characterized by large volumes of highly transient data. We overview this model and provide a realization of it via the architecture and implementation of the Gander search engine. Gander connects formal notions of sampling a search space to expressive, spatiotemporal-aware protocols that perform distributed query processing in situ. This thesis evaluates Gander through a user study that examines the perceived usability and utility of our mobile application, and benchmarks the performance of Gander in large PNetS through network simulation. | en |
| dc.description.department | Electrical and Computer Engineering | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.uri | http://hdl.handle.net/2152/19714 | en |
| dc.language.iso | en_US | en |
| dc.subject | Pervasive computing | en |
| dc.subject | Mobile computing | en |
| dc.subject | Distributed computing | en |
| dc.subject | Information retrieval | en |
| dc.subject | Spatial sampling | en |
| dc.subject | Mobile interfaces | en |
| dc.title | The Gander search engine for personalized networked spaces | en |