NSL spindle map-reduce at the edge in a V2V environment
Authors
Kronmiller, William Rory
ORCID
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Other Contributors
Patterson, Stacy
Zaki, Mohammed J., 1971-
Magdon-Ismail, Malik
Zaki, Mohammed J., 1971-
Magdon-Ismail, Malik
Issue Date
2017-05
Keywords
Computer science
Degree
MS
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
We evaluate Spindle using a custom-built simulator that combines vehicle velocity and connectivity trace data with clustering information to provide a realistic representation of how a Spindle system would operate on the vehicle and cluster level. Our results show Spindle can produce bandwidth savings of 99.6% compared to sending raw vehicle data to the cloud and over 75% compared to performing only map/reduce without vehicle clusters.
Description
May 2017
School of Science
School of Science
Department
Dept. of Computer Science
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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