Publication:

L-SCN: Layered SCN architecture with supernodes and Bloom filters

Date

Date

Date
2017
Conference or Workshop Item
Published version

Citations

Citation copied

Gasparyan, M., Braun, T., & Schiller, E. (2017). L-SCN: Layered SCN architecture with supernodes and Bloom filters. 899–904. https://doi.org/10.1109/CCNC.2017.7983252

Abstract

Abstract

Abstract

In this paper, we present L-SCN, a new routing architecture for Service-Centric Networking (SCN), which makes use of a two-layer forwarding scheme composed of inter-domain and intra-domain communication. Unlike existing SCN routing architectures relying on a flat organization, our design splits the network into domains. Nodes within a domain possess significant knowledge about existing services and available resources within the domain. Supernodes provide a significant advantage in comparison to other architectures. They assure the in

Additional indexing

Creators (Authors)

Event Title

Event Title

Event Title
2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC)

Event Location

Event Location

Event Location
Las Vegas

Event Start Date

Event Start Date

Event Start Date
2017-02-08

Event End Date

Event End Date

Event End Date
2017-02-11

Publisher

Publisher

Publisher
IEEE

Page range/Item number

Page range/Item number

Page range/Item number
899

Page end

Page end

Page end
904

Item Type

Item Type

Item Type
Conference or Workshop Item

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Dewey Decimal Classifikation

Scope

Scope

Scope
Learning and pedagogical research

Language

Language

Language
English

Date available

Date available

Date available
2019-09-20

ISBN or e-ISBN

ISBN or e-ISBN

ISBN or e-ISBN
978-1-5090-6196-9

OA Status

OA Status

OA Status
Green

Other Identification Number

Other Identification Number

Other Identification Number
merlin-id:18128

Citations

Citation copied

Gasparyan, M., Braun, T., & Schiller, E. (2017). L-SCN: Layered SCN architecture with supernodes and Bloom filters. 899–904. https://doi.org/10.1109/CCNC.2017.7983252

Green Open Access
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Files
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