Header

UZH-Logo

Maintenance Infos

Communication mechanisms for service-centric networking


Gasparyan, Mikael; Schiller, Eryk; Marandi, Ali; Braun, Torsten (2020). Communication mechanisms for service-centric networking. In: 2020 IEEE 17th Annual Consumer Communications & Networking Conference (CCNC), Las Vegas, NV, USA, 10 February 2020 - 13 February 2020. IEEE, 1-8.

Abstract

L-SCN is a two-layered Service-Centric Networking (SCN) architecture. The L-SCN design splits the network into domains and specifies communication protocols for service provider information propagation. Nodes in a domain receive substantial knowledge about the available resources (e.g., CPU, RAM) and available services within the domain, while the communication between different domains is realized through supernodes. We extend L-SCN with new communication mechanisms, which improve the processing time and provide lower protocol overhead for service request processing. The two proposed mechanisms are named event-driven and provider-driven. The event-driven mechanism propagates service provider information based on an event (e.g., high overload). The provider-driven mechanism propagates service provider information periodically.

Abstract

L-SCN is a two-layered Service-Centric Networking (SCN) architecture. The L-SCN design splits the network into domains and specifies communication protocols for service provider information propagation. Nodes in a domain receive substantial knowledge about the available resources (e.g., CPU, RAM) and available services within the domain, while the communication between different domains is realized through supernodes. We extend L-SCN with new communication mechanisms, which improve the processing time and provide lower protocol overhead for service request processing. The two proposed mechanisms are named event-driven and provider-driven. The event-driven mechanism propagates service provider information based on an event (e.g., high overload). The provider-driven mechanism propagates service provider information periodically.

Statistics

Citations

Dimensions.ai Metrics

Altmetrics

Downloads

59 downloads since deposited on 19 Oct 2020
15 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:03 Faculty of Economics > Department of Informatics
Dewey Decimal Classification:000 Computer science, knowledge & systems
Scopus Subject Areas:Physical Sciences > Artificial Intelligence
Physical Sciences > Computer Networks and Communications
Physical Sciences > Hardware and Architecture
Physical Sciences > Safety, Risk, Reliability and Quality
Physical Sciences > Media Technology
Social Sciences & Humanities > Communication
Scope:Discipline-based scholarship (basic research)
Language:English
Event End Date:13 February 2020
Deposited On:19 Oct 2020 15:58
Last Modified:06 Mar 2024 14:32
Publisher:IEEE
ISBN:978-1-7281-3893-0
OA Status:Green
Publisher DOI:https://doi.org/10.1109/CCNC46108.2020.9045531
Other Identification Number:merlin-id:19906
  • Content: Published Version
  • Language: English