Micro SIDs: a solution for Efficient Representation of Segment IDs in SRv6 Networks
Autor: | Andrea Mayer, Angelo Tulumello, Paolo Lungaroni, Francoid Clad, Stefano Salsano, Marco Bonola, Darren Dukes, Carmine Scarpina, Pablo Camarillo, Ahmed Abdelsalam, Clarence Filsfils |
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Rok vydání: | 2020 |
Předmět: |
FOS: Computer and information sciences
Routing protocol Settore ING-INF/03 Computer Networks and Communications Computer science ComputerApplications_COMPUTERSINOTHERSYSTEMS network architecture 02 engineering and technology Loose Source Routing Topology Computer Science - Networking and Internet Architecture Virtual private networks IPv6 packet Routing protocols 0202 electrical engineering electronic engineering information engineering Forwarding plane Electrical and Electronic Engineering Routing Networking and Internet Architecture (cs.NI) IPv6 address Network packet business.industry IP routing protocols ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Segment routing Byte 020206 networking & telecommunications Interoperability IPv6 Programming 020201 artificial intelligence & image processing business Computer network |
Zdroj: | CNSM |
Popis: | The Segment Routing (SR) architecture is based on loose source routing. A list of instructions, called segments can be added to the packet headers, to influence the forwarding and the processing of the packets in an SR enabled network. In SRv6 (Segment Routing over IPv6 data plane) the segments are represented with IPv6 addresses, which are 16 bytes long. There are some SRv6 service scenarios that may require to carry a large number of segments in the IPv6 packet headers. This can be inefficient due to the overheads of the segment list, or can even cause processing issues in the crossed nodes due to the very large header to be processed. In this paper we present the Micro SID solution for the efficient representation of segment identifiers. With this solution, the length of the segment list can be drastically reduced. Comment: Extended version (v1) of submitted paper - October 2020 |
Databáze: | OpenAIRE |
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