NSL spindle map-reduce at the edge in a V2V environment
Authors
Kronmiller, William Rory
Issue Date
2017-05
Type
Electronic thesis
Thesis
Thesis
Language
ENG
Keywords
Computer science
Alternative Title
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
Full Citation
Publisher
Rensselaer Polytechnic Institute, Troy, NY