US20060253607A1 - Method for adapting link weights in ralation to optimized traffic distribution - Google Patents

Method for adapting link weights in ralation to optimized traffic distribution Download PDF

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Publication number
US20060253607A1
US20060253607A1 US10/550,229 US55022905A US2006253607A1 US 20060253607 A1 US20060253607 A1 US 20060253607A1 US 55022905 A US55022905 A US 55022905A US 2006253607 A1 US2006253607 A1 US 2006253607A1
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Prior art keywords
link
accordance
traffic
paths
determined
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US10/550,229
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English (en)
Inventor
Gero Schollmeier
Christian Winkler
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Nokia Solutions and Networks GmbH and Co KG
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Siemens AG
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Assigned to SIEMENS AKTIENGESELLSCHAFT reassignment SIEMENS AKTIENGESELLSCHAFT ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: WINKLER, CHRISTIAN, SCHOLLMEIER, GERO
Publication of US20060253607A1 publication Critical patent/US20060253607A1/en
Assigned to NOKIA SIEMENS NETWORKS GMBH & CO KG reassignment NOKIA SIEMENS NETWORKS GMBH & CO KG ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: SIEMENS AKTIENGESELLSCHAFT
Priority to US12/367,802 priority Critical patent/US7933206B2/en
Abandoned legal-status Critical Current

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L45/00Routing or path finding of packets in data switching networks
    • H04L45/12Shortest path evaluation

Definitions

  • the invention relates to a method for adapting link weights in a communication network formed from links for an optimized distribution of traffic within the communication network as regards the volume of traffic expected for the communication network and in relation to a parameter relating to link usage.
  • the invention lies within the area of communication technology and in particular deals with the transmission of data over packet-oriented networks.
  • IP Internet Protocol
  • the best possible distribution of the traffic routed over a communication network is important, on the one hand in relation to avoiding overload situations, on the other hand good traffic distribution is the requirement for a good utilization of the existing resources and especially the bandwidth available.
  • the traffic distribution within a communication network depends on the routing within the network or the paths on which the traffic is routed through the network.
  • OSPF Open Shortest Path First
  • link weight or link weights which are normally employed by specialists as synonymous with link costs are also referred to below.
  • the link costs or link weights are values administratively assigned to the links, said values representing a measure of how well the relevant link is being used. In the simplest case the link costs are equal to 1 for each link, i.e. all links are treated in the same way. For routing which minimizes the link costs this method automatically determines the shortest path between two nodes as regards the number of links or the number of hops. Changing the link costs allows the determination of the routes and thus the distribution of the traffic within a communication network to be influenced. Controlling the traffic distribution by adapting the link costs is generally possible with routing methods which operate using a metric and the allocation of link costs, e.g.
  • IS-IS Intermediate System-Intermediate System
  • ECMP Equal Cost Multiple
  • the object of the invention is to specify a simple method for determining the link costs in a communication network as regards optimized traffic distribution
  • the thinking behind the invention is that the link costs or link weights of heavily loaded links should be increased to reduce the traffic load on these links.
  • a parameter is used for the optimization which represents the measure of the loading of the individual links. Preferably this parameter is specified by the traffic load of the individual links. Other options are the relative traffic load in relation to the link bandwidth, any traffic-dependent costs arising for link usage (possibly even in the form of real charges arising), the availability of the links, the run time on the individual links or the load-bearing capabilities of the end nodes of the links concerned.
  • the starting point of the invention is that the volume of traffic to be carried by the network is known or at least an estimate of said volume exists. In traffic theory what is known as the traffic matrix is usually used to specify the traffic volume more precisely.
  • the traffic matrix specifies the volume of traffic to be transported between pairs of source and destination nodes.
  • a source node for example corresponds to an ingress node and a destination node to an egress node, so that the traffic matrix features an entry in relation to these two nodes for the traffic transported between them.
  • the procedure is as follows. First the link costs of the individual links are initialized, i.e. start values are assigned to them. For the links a distinction is preferably made between the two directions, i.e. a connection between two nodes corresponds to two directed links, each of which transports the traffic once from the first node to the second and once in the other direction. The invention can then be further developed so that, especially for symmetrical traffic matrices, the optimization of the link costs is performed for both directions simultaneously. After the assignment of start values for the link costs paths for the routing of traffic within a communication network are computed with the aid of the routing protocol (for example OSPF or IS-IS).
  • OSPF OSPF
  • IS-IS the routing protocol
  • the traffic carried on these paths and thereby the traffic volume on the individual links can be calculated or determined.
  • the link is then determined for which the parameter, for example the traffic volume, has the highest value.
  • the value of the link costs for the link determined is increased, by 1 for example.
  • Calculating the paths, defining the values of the parameter, determining the link for which the parameter has the highest value and increasing the value of the link costs for the link determined is performed as a loop which is run until such time as the value of the parameter for the link with the highest parameter value determined in a step is higher than the parameter determined in the previous step or sequence for the link with the highest parameter value. If this abort criteria is fulfilled, the values for the link costs defined in the step before last and the associated paths for routing within the communication network are determined.
  • An improved or optimized traffic distribution is obtained through the invention by increasing the link costs of heavily loaded links.
  • the inventive method is simpler and can be implemented without any problems.
  • For determining paths within the framework of the ECMP (Equal Cost Multiple) method it is useful to operate in the method with whole-number link costs or whole-number increases in the link costs, since in this way it is more likely that alternative paths with the same accumulated costs for the connection of two nodes are produced, so that, as provided for in the ECMP method, traffic can be distributed to the various equivalent paths.
  • ECMP Equal Cost Multiple
  • the inventive method can be performed using central or distributed computing capacity.
  • parts thereof e.g. path calculation, there can be recourse to conventional methods (which for example are defined within the framework of the OPSF or IS-IS protocol).
  • FIG. 1 shows an exemplary flowchart according to the invention.
  • the exemplary embodiment starts from the assumption that the communication network is an IP network which is formed with nodes and links and that paths are to be determined for routing within the framework of the ECMP concept.
  • the link costs LK are initialized with the value 1.
  • the ECMP paths P(LK) are then calculated. The calculation is undertaken by determining the paths with the lowest accumulated link costs LK for routing between two nodes, as is provided for in the OSPF protocol.
  • Least-cost paths to a destination node can for example be determined in the following way. All neighboring nodes of the destination node are initially determined and these neighboring nodes are assigned the link costs as node costs. This defines the routing for this first ring of nodes around the destination node. The procedure below is undertaken ring-by-ring, moving up from a ring to the next higher ring in each case. A ring in this case is specified by the fact that a specific number of links at least have to be passed through to reach the destination node. The costs of the individual paths are successively calculated ring-by-ring.
  • the path costs are made up of the sum of the link costs and the node costs, with link costs being the current costs of the outgoing link in each case and the node costs being the actual costs of the relevant end node of this link in each case.
  • the costs of the paths calculated in this way are then compared and only those paths are retained which have minimal path costs (as is also provided for within the framework of the OSPF concept).
  • a number of paths with the minimum path costs are frequently found which are retained for traffic distribution in the sense of the ECMP concept.
  • Other methods of determining least-cost paths for example the Dijkstra algorithm, can be used just as well.
  • the above procedure can be used for re-determining the paths as part of the iterations for which the inventive method makes provision.
  • the traffic matrix VM is used to determine the traffic volume V(L) of the individual links.
  • the link L(Vmax,n) with the highest or maximum traffic volume Vmax,n is identified and the maximum traffic volume Vmax,n in this step is compared with the maximum traffic volume Vmax,n ⁇ 1 in the previous step If the maximum traffic volume Vmax,n for the current step is less than the maximum traffic volume Vmax,n ⁇ 1 for the previous step, the link costs LK(L(Vmax,n)) of the link L(Vmax,n) with the maximum traffic volume Vmax,n are increased by 1 and the paths P(LK) are recalculated as a function of the changed link costs LK. The loop is then executed once more. Otherwise, i.e.
  • the link costs LK determined in the previous step are used as optimized link costs LKOpt and the associated paths P(LK) are used as the paths P(LKopt) determined for an optimized traffic distribution for routing.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)
US10/550,229 2004-01-30 2005-01-14 Method for adapting link weights in ralation to optimized traffic distribution Abandoned US20060253607A1 (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US12/367,802 US7933206B2 (en) 2004-01-30 2009-02-09 Method for adapting link weights in relation to optimized traffic distribution

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
DE102004004793.6 2004-01-30
DE102004004793A DE102004004793B3 (de) 2004-01-30 2004-01-30 Verfahren zur Anpassung der Link-Gewichte im Hinblick auf eine optimierte Verkehrsverteilung
PCT/EP2005/050149 WO2005074196A1 (de) 2004-01-30 2005-01-14 Verfahren zur anpassung der link-gewichte im hinblick auf eine optimierte verkehrsverteilung

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PCT/EP2005/050149 A-371-Of-International WO2005074196A1 (de) 2004-01-30 2005-01-14 Verfahren zur anpassung der link-gewichte im hinblick auf eine optimierte verkehrsverteilung

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US (2) US20060253607A1 (de)
EP (1) EP1588531B1 (de)
CN (1) CN100574269C (de)
DE (2) DE102004004793B3 (de)
WO (1) WO2005074196A1 (de)

Cited By (5)

* Cited by examiner, † Cited by third party
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US20090161673A1 (en) * 2007-12-21 2009-06-25 Lee Breslau Method and System For Computing Multicast Traffic Matrices
US20130343396A1 (en) * 2012-06-22 2013-12-26 Fujitsu Limited Information processing system, relay device, information processing device, and information processing method
US9137162B2 (en) 2013-07-23 2015-09-15 Sap Se Network traffic routing optimization
US10027571B2 (en) * 2016-07-28 2018-07-17 Hewlett Packard Enterprise Development Lp Load balancing
CN114638418A (zh) * 2022-03-21 2022-06-17 重庆大学 基于双层gert网络的核电建造协同质保价值链优化方法

Families Citing this family (6)

* Cited by examiner, † Cited by third party
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DE102008029825A1 (de) 2008-06-25 2009-12-31 Medi Gmbh & Co. Kg Kniebandage
US8798034B2 (en) * 2009-03-31 2014-08-05 Motorola Solutions, Inc. System and method for selecting a route based on link metrics incorporating channel bandwidth, spatial streams and/or guard interval in a multiple-input multiple-output (MIMO) network
CN104883696B (zh) * 2015-04-15 2019-07-26 国家电网公司 电力信息物理系统无线通信网等价多路径动态控制方法
CN109034657A (zh) * 2018-08-22 2018-12-18 泰康保险集团股份有限公司 基于区块链的流程路径寻找方法、装置、介质及电子设备
CN111953606B (zh) * 2020-07-14 2022-06-21 锐捷网络股份有限公司 一种路由迭代循环检测方法、装置、电子设备及存储介质
CN114048160A (zh) * 2021-11-08 2022-02-15 上海兆芯集成电路有限公司 链路均衡调节系统及链路均衡调节方法

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US20030028670A1 (en) * 2001-07-31 2003-02-06 Byoung-Joon Lee Network resource allocation methods and systems
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US6584071B1 (en) * 1999-08-03 2003-06-24 Lucent Technologies Inc. Routing with service level guarantees between ingress-egress points in a packet network
US20030156536A1 (en) * 2002-02-21 2003-08-21 Eiji Oki Node, an optical/electrical path integrated network using the node, and a program which controls the node
US6611874B1 (en) * 1998-09-16 2003-08-26 International Business Machines Corporation Method for improving routing distribution within an internet and system for implementing said method

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AU2002220005A1 (en) * 2000-12-04 2002-06-18 Rensselaer Polytechnic Institute System for proactive management of network routing

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US6611874B1 (en) * 1998-09-16 2003-08-26 International Business Machines Corporation Method for improving routing distribution within an internet and system for implementing said method
US6535923B1 (en) * 1999-03-30 2003-03-18 International Business Machines Corporation Method and system for defining an efficient and reliable meshing of CP-CP sessions in an advanced peer to peer network
US6584071B1 (en) * 1999-08-03 2003-06-24 Lucent Technologies Inc. Routing with service level guarantees between ingress-egress points in a packet network
US20030028670A1 (en) * 2001-07-31 2003-02-06 Byoung-Joon Lee Network resource allocation methods and systems
US20030156536A1 (en) * 2002-02-21 2003-08-21 Eiji Oki Node, an optical/electrical path integrated network using the node, and a program which controls the node

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090161673A1 (en) * 2007-12-21 2009-06-25 Lee Breslau Method and System For Computing Multicast Traffic Matrices
US7792057B2 (en) 2007-12-21 2010-09-07 At&T Labs, Inc. Method and system for computing multicast traffic matrices
US20130343396A1 (en) * 2012-06-22 2013-12-26 Fujitsu Limited Information processing system, relay device, information processing device, and information processing method
US9479423B2 (en) * 2012-06-22 2016-10-25 Fujitsu Limited Information processing system, relay device, information processing device, and information processing method
US9137162B2 (en) 2013-07-23 2015-09-15 Sap Se Network traffic routing optimization
US9397930B2 (en) 2013-07-23 2016-07-19 Sap Se Network traffic routing optimization
US10027571B2 (en) * 2016-07-28 2018-07-17 Hewlett Packard Enterprise Development Lp Load balancing
CN114638418A (zh) * 2022-03-21 2022-06-17 重庆大学 基于双层gert网络的核电建造协同质保价值链优化方法

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Publication number Publication date
CN100574269C (zh) 2009-12-23
EP1588531B1 (de) 2006-06-28
DE102004004793B3 (de) 2005-08-11
DE502005000029D1 (de) 2006-08-10
EP1588531A1 (de) 2005-10-26
WO2005074196A1 (de) 2005-08-11
CN1765091A (zh) 2006-04-26
US7933206B2 (en) 2011-04-26
US20090141633A1 (en) 2009-06-04

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