Staff View
Grassroots - a scalable and robust information architecture

Descriptive

Language
LanguageTerm (authority = ISO 639-3:2007); (type = text)
English
Genre (authority = RULIB-FS)
Other
Genre (authority = marcgt)
technical report
PhysicalDescription
InternetMediaType
application/pdf
Extent
1 online resource (22 pages) : illustrationss
Note (type = special display note)
Technical report DCS-TR-523
Name (authority = RutgersOrg-School); (type = corporate)
NamePart
School of Arts and Sciences (SAS) (New Brunswick)
Name (authority = RutgersOrg-Department); (type = corporate)
NamePart
Computer Science (New Brunswick)
TypeOfResource
Text
TitleInfo
Title
Grassroots - a scalable and robust information architecture
Abstract (type = abstract)
We propose a novel architecture, Grassroots, for collecting, disseminating, and querying information about the physical world. The Grassroots architecture consists of a massive number of individual agents called dataflies, which move around, collect, summarize, and query information about their immediate physical environments. We make use of this architecture in developing a system for collecting and disseminating real-time traffic information. Such a system would prevent traffic congestion from building up. Today a number of commercial solutions exist for disseminating traffic information (e.g., Traffic.com, Metrocommute, EtakTraffic). However, these solutions are plagued by prohibitive deployment and maintenance cost that prevents widespread deployment. As a result, these solutions cover select highways while leaving out major fractions of the highways. In this paper we present our vision of a low cost, highly scalable zero-infrastructure system for collecting and disseminating information about traffic conditions. Our goal is to devise a system that can cover the entire road network of US. We describe the proposed architecture for the system, and evaluate it using realistic model of transportation network and realistic traffic conditions.
Name (type = personal)
NamePart (type = family)
Goel
NamePart (type = given)
Samir
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
ImieliƄski
NamePart (type = given)
Tomasz
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
Name (type = personal)
NamePart (type = family)
Ozbay
NamePart (type = given)
Kaan
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt)
author
Name (type = personal)
NamePart (type = family)
Nath
NamePart (type = given)
Badri
Affiliation
Computer Science (New Brunswick)
Role
RoleTerm (authority = marcrt); (type = text)
author
OriginInfo
DateCreated (encoding = w3cdtf); (keyDate = yes); (point = start); (qualifier = exact)
2003-06
RelatedItem (type = host)
TitleInfo
Title
Computer Science (New Brunswick)
Identifier (type = local)
rucore21032500001
Location
PhysicalLocation (authority = marcorg); (displayLabel = Rutgers, The State University of New Jersey)
NjNbRU
Identifier (type = doi)
doi:10.7282/t3-awa1-wn94
Genre (authority = ExL-Esploro)
Technical Documentation
Back to the top

Rights

RightsDeclaration (AUTHORITY = rightsstatements.org); (TYPE = IN COPYRIGHT); (ID = http://rightsstatements.org/vocab/InC/1.0/)
This Item is protected by copyright and/or related rights.You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use.For other uses you need to obtain permission from the rights-holder(s).
Copyright
Status
Copyright protected
Availability
Status
Open
Reason
Permission or license
Back to the top

Technical

RULTechMD (ID = TECHNICAL1)
ContentModel
Document
CreatingApplication
Version
1.4
ApplicationName
GPL Ghostscript 9.07
DateCreated (point = start); (encoding = w3cdtf); (qualifier = exact)
2018-06-06T12:32:47
DateCreated (point = start); (encoding = w3cdtf); (qualifier = exact)
2018-06-06T12:32:47
Back to the top
Version 8.3.13
Rutgers University Libraries - Copyright ©2020