Title
Ranged name retrieval: Design and evaluation of a flexible data retrieval approach for ICN
Author
Trichias, K.
D’Acunto, L.
Drijver, F.B.
Wissingh, B.F.
Contributor
Chowdhury, K.R.D. (editor)
Felice, M. (editor)
Sheng, B. (editor)
Matta, I. (editor)
Publication year
2018
Abstract
In Information-Centric Networking (ICN), applications request data based on the (exact) name of the data of interest. This poses a challenge for a growing number of applications, which do not know a priori the full name of a data object they seek, or do not necessarily need a specific data object, but are interested in a certain scope (e.g. the temperature in a particular geographical area). To address this challenge, we propose the more flexible and application-agnostic Ranged-Name Retrieval (RNR), which allows applications to define a range within each hierarchical component of the name they are requesting, obtaining in return one of the objects within that defined range. The performance evaluation of RNR indicates that, compared to the state of the art, it improves the bandwidth utilization efficiency 16-fold when retrieving data with unknown names, and even decreases the average end-to-end (E2E) delay for data delivery, while only adding 2% overhead for the processing of ranged-names. © IFIP International Federation for Information Processing 2018.
Subject
Artificial intelligence
Computer science
Computers
Band-width utilization
Design and evaluations
End to ends (E2E)
Geographical area
Hierarchical components
Information centric networkings (ICN)
Performance evaluations
State of the art
Hierarchical systems
To reference this document use:
http://resolver.tudelft.nl/uuid:ca0bdeaa-b631-462d-8ee7-72a823ac069a
TNO identifier
858057
Publisher
Springer Verlag
ISBN
9783030029302
ISSN
3029-743
Source
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 16th IFIP International Conference on Wired/Wireless Internet Communications, WWIC 2018, 18 June 2018 through 20 June 2018, 16-28
Document type
conference paper