routing information base

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 129 Experts worldwide ranked by ideXlab platform

Sriganesh Kini - One of the best experts on this subject based on the ideXlab platform.

  • RIB information Model
    2018
    Co-Authors: Jan Medved, Sriganesh Kini, Nitin Bahadur
    Abstract:

    routing and routing functions in enterprise and carrier networks are typically performed by network devices (routers and switches) using a routing information base (RIB). Protocols and configuration push data into the RIB and the RIB manager installs state into the hardware for packet forwarding. This draft specifies an information model for the RIB to enable defining a standardized data model, and it was used by the IETF's I2RS WG to design the I2RS RIB data model. It is being published to record the higher-level informational model decisions for RIBs so that other developers of RIBs may benefit from the design concepts.

  • A YANG Data Model for the routing information base (RIB)
    2018
    Co-Authors: Mach Chen, Nitin Bahadur, Lixing Wang, Hariharan Ananthakrishnan, Amit Dass, Sriganesh Kini
    Abstract:

    This document defines a YANG data model for the routing information base (RIB) that aligns with the I2RS RIB information model.

  • A YANG Data Model for routing information base (RIB)
    2016
    Co-Authors: Mach Chen, Nitin Bahadur, Lixing Wang, Hariharan Ananthakrishnan, Sriganesh Kini
    Abstract:

    This document defines a YANG data model for routing information base (RIB) that aligns with the I2RS RIB information model.

  • Filter-based RIB Data Model
    2016
    Co-Authors: Linda Dunbar, Sriganesh Kini, Ram Krishnan, Susan Hares, Russ White, Dean Bogdanovic
    Abstract:

    This document defines a data model to support the Filter-based routing information base (RIB) Yang data models. A routing system uses the Filter-based RIB to program FIB entries that process incoming packets by matching on multiple fields within the packet and then performing a specified action on it. The FB-RIB can also specify an action to forward the packet according to the FIB entries programmed using the RIBs of its routing instance. The Filter based RIB is a protocol independent data structure which can be deployed in a configuration datastore, an ephemeral control plane data stroe.

  • Filter-based RIB information Model
    2016
    Co-Authors: Linda Dunbar, Sriganesh Kini, Ram Krishnan, Susan Hares, Russ White, Anoop Ghanwani, Dean Bogdanovic
    Abstract:

    This document defines an information model associated with the I2RS ephemeral state for filter-based routing of IP packets via a Filter- based routing information base (FB-RIB). FB-RIBs (ephemeral and non- ephemeral) are associated with specific interfaces interfaces on a routing device, and process packets received on these interfaces according a filtering policy. A filtering policy is a a minimalistic event-match_condition-action (ECA) policy with only one event - the reception of a frame/packet of data on an interface. The match conditions in the filter policy are n-tuple matches based on the content of the frame/packet or the time of its arrival. Filter-based policy allows actions which modifying the frame/packet, forward the frame or packet, or drop the frame/packet. Filter-based Policy in FB- RIBs engages before any destination based routing so the FB-RIBs provide a destination-based default RIB that will be used if none of the filters are matched.

Nitin Bahadur - One of the best experts on this subject based on the ideXlab platform.

  • RIB information Model
    2018
    Co-Authors: Jan Medved, Sriganesh Kini, Nitin Bahadur
    Abstract:

    routing and routing functions in enterprise and carrier networks are typically performed by network devices (routers and switches) using a routing information base (RIB). Protocols and configuration push data into the RIB and the RIB manager installs state into the hardware for packet forwarding. This draft specifies an information model for the RIB to enable defining a standardized data model, and it was used by the IETF's I2RS WG to design the I2RS RIB data model. It is being published to record the higher-level informational model decisions for RIBs so that other developers of RIBs may benefit from the design concepts.

  • A YANG Data Model for the routing information base (RIB)
    2018
    Co-Authors: Mach Chen, Nitin Bahadur, Lixing Wang, Hariharan Ananthakrishnan, Amit Dass, Sriganesh Kini
    Abstract:

    This document defines a YANG data model for the routing information base (RIB) that aligns with the I2RS RIB information model.

  • A YANG Data Model for routing information base (RIB)
    2016
    Co-Authors: Mach Chen, Nitin Bahadur, Lixing Wang, Hariharan Ananthakrishnan, Sriganesh Kini
    Abstract:

    This document defines a YANG data model for routing information base (RIB) that aligns with the I2RS RIB information model.

  • Data Model for RIB I2RS protocol
    2015
    Co-Authors: Mach Chen, Nitin Bahadur, Lixing Wang, Hariharan Ananthakrishnan, Amit Dass, Sriganesh Kini
    Abstract:

    This document defines a YANG data model for routing information base (RIB) that aligns with the I2RS RIB information model.

  • routing information base Info Model
    2013
    Co-Authors: Sriganesh Kini, Jan Medved, Ron Folkes, Nitin Bahadur
    Abstract:

    routing and routing functions in enterprise and carrier networks are typically performed by network devices (routers and switches) using a routing information base (RIB). Protocols and configuration push data into the RIB and the RIB manager install state into the hardware; for packet forwarding. This draft specifies an information model for the RIB to enable defining a standardized data model. Such a data model can be used to define an interface to the RIB from an entity that may even be external to the network device. This interface can be used to support new use-cases being defined by the IETF I2RS WG.

Mach Chen - One of the best experts on this subject based on the ideXlab platform.

  • A YANG Data Model for the routing information base (RIB)
    2018
    Co-Authors: Mach Chen, Nitin Bahadur, Lixing Wang, Hariharan Ananthakrishnan, Amit Dass, Sriganesh Kini
    Abstract:

    This document defines a YANG data model for the routing information base (RIB) that aligns with the I2RS RIB information model.

  • A YANG Data Model for routing information base (RIB)
    2016
    Co-Authors: Mach Chen, Nitin Bahadur, Lixing Wang, Hariharan Ananthakrishnan, Sriganesh Kini
    Abstract:

    This document defines a YANG data model for routing information base (RIB) that aligns with the I2RS RIB information model.

  • Data Model for RIB I2RS protocol
    2015
    Co-Authors: Mach Chen, Nitin Bahadur, Lixing Wang, Hariharan Ananthakrishnan, Amit Dass, Sriganesh Kini
    Abstract:

    This document defines a YANG data model for routing information base (RIB) that aligns with the I2RS RIB information model.

  • Use Cases for Virtual Connections on Demand (VCoD) and Virtual Network on Demand (VNoD) using Interface to routing System
    2014
    Co-Authors: Susan Hares, Mach Chen
    Abstract:

    Software Defined Networks (SDN) provide a way to virtualize and abstract the network in order to present virtual or abstract resources to third-party applications running in software. Applications can utilize a programmable interface to receive these virtual or abstract resource descriptions in a form that allows monitoring or manipulation of resources within the network. The Interface to the routing System (I2RS) provides an interface directly to the routing System to monitor best paths to any destination or change routes in the routing information base (RIB) or MPLS Label information base (LIB). The I2RS interfaces may be combined with other interfaces to the forwarding plane (ForCES (RFC3746)), device configuration (NETCONF), or mid-level /peer-to-peer (ALTO, draft-ietf- alto-protocol) system to create these virtual pathways. This document outlines how SDN networks can use the I2RS interface to implement an automated set of network services for the Virtual Connection on Demand (VCoD) and Virtual Network on Demand (VNoD). These systems provide service routing a better way to create paths within a hub and spoke environment, and provide service routing the ability to create pathways based on service.

Luca Muscariello - One of the best experts on this subject based on the ideXlab platform.

  • supervised machine learning based routing for named data networking
    Global Communications Conference, 2016
    Co-Authors: Leonce Mekinda, Luca Muscariello
    Abstract:

    Named Data Networking (NDN) ambitions the rank of Future Internet Architecture in uniquely addressing content items by their name. In NDN, routers forward Interests for content after finding Longest-Prefix Matches (LPM) of content names in their Forwarding information base (FIB). However, the scalability of this structure is challenged by the huge global Internet namespace. In this paper, we propose a novel approach to interest forwarding that compresses the FIB data structure into Artificial Neural Networks (ANNs). A bitwise trie splits the namespace and indexes ANNs. ANNs are offline trained by the control plane from the routing information base and matching Interests. Then, they are made available to the data plane for interrogation. We demonstrate that this approach accelerates packet forwarding by several orders of magnitude. Noteworthily, leveraging ANNs as memory and processor for directing packets towards next hops reminds of Asking For Directions to people in the street, incurring similar reliability regards.

  • GLOBECOM - Supervised Machine Learning-based routing for Named Data Networking
    2016 IEEE Global Communications Conference (GLOBECOM), 2016
    Co-Authors: Leonce Mekinda, Luca Muscariello
    Abstract:

    Named Data Networking (NDN) ambitions the rank of Future Internet Architecture in uniquely addressing content items by their name. In NDN, routers forward Interests for content after finding Longest-Prefix Matches (LPM) of content names in their Forwarding information base (FIB). However, the scalability of this structure is challenged by the huge global Internet namespace. In this paper, we propose a novel approach to interest forwarding that compresses the FIB data structure into Artificial Neural Networks (ANNs). A bitwise trie splits the namespace and indexes ANNs. ANNs are offline trained by the control plane from the routing information base and matching Interests. Then, they are made available to the data plane for interrogation. We demonstrate that this approach accelerates packet forwarding by several orders of magnitude. Noteworthily, leveraging ANNs as memory and processor for directing packets towards next hops reminds of Asking For Directions to people in the street, incurring similar reliability regards.

Craig Labovitz - One of the best experts on this subject based on the ideXlab platform.

  • MRT routing information export format
    2011
    Co-Authors: Manish Karir, Larry Blunk, Craig Labovitz
    Abstract:

    This document describes the MRT format for routing information export. This format was developed in concert with the Multi-threaded routing Toolkit (MRT) from whence the format takes it name. The format can be used to export routing protocol messages, state changes, and routing information base contents.

  • Multi-Threaded routing Toolkit (MRT) routing information Export Format
    2011
    Co-Authors: Manish Karir, Larry Blunk, Craig Labovitz
    Abstract:

    This document describes the MRT format for routing information export. This format was developed in concert with the Multi-threaded routing Toolkit (MRT) from whence the format takes it name. The format can be used to export routing protocol messages, state changes, and routing information base contents.

Related terms

routing information base - 15 days free trial to Access Experts & Abstracts