The present invention relates to distributed systems and methods for finding a path from a source node to a destination node where the path chosen satisfies a path constraint for a first additive path parameter and concurrently optimizes a second additive path parameter.
A goal of many carriers is to have one automatic network control structure. A new set of protocols that make up the framework of Generalized Multi-Protocol Label switching (GMPLS) provides one method to accomplish this goal. Currently, placing data on a telecommunications network involves encapsulating several layers. For example, transporting data traffic on a telecommunications network can involve stacking an Internet Protocol layer on top of an asynchronous transfer mode layer on top of a synchronous optical network layer on top of a dense wavelength division multiplexing layer. Each layer has its own management and control. Interfacing between layers typically involves manual provisioning. Different types of service providers typically manage each layer. GMPLS attempts to reduce the number of interfaces that involve manual provisioning, reduce the operational cost of the network, and improve efficiency.
In other words, GMPLS tries to extend the control plane architecture of MPLS to all non-packet switched networks. Extending the control plane architecture to these transport networks helps to make network administration more intelligent and leads to better use of available resources. One example of a non-packet switched network is a wavelength routed meshed photonic network. GMPLS provides a framework for the control plane architecture by extending MPLS component signaling and routing protocols to dense wavelength division multiplexing (DWDM) based meshed networks.
With respect to the routing protocols, the Internet engineering task force (IETF) has proposed extensions to the open shortest path first (OSPF) and intermediate system-intermediate system (IS-IS) protocols as part of GMPLS to take into consideration the special properties of meshed photonic networks. These routing protocols are intra-domain protocols and hence work within a single domain also called an autonomous system (AS). Since these routing protocols are limited to an AS, any quality of service guarantees provided by the protocols are also limited to providing guarantees within the boundaries of the AS.
Thus a need exists for a set of protocols that facilitate quality of service (QoS) routing between domains owned by different ISP's often operating on different vendor equipment. In other words, there is a need to extend QoS routing beyond one's own domain and into multiple domains on an end-to-end basis.
There are some basic differences between a route computation procedure for an inter-domain protocol and an intra-domain protocol:
Relevant to the development of a set of protocols that facilitate quality of service routing between domains is constraint based routing. Constraint based routing implies computing and signaling routes which satisfy a given set of constraints. These constraints can be classified based on the property of the link parameter they represent. Two types of constraints are link constraints, which need to be satisfied on a per link basis, and additive path constraints, where the sum of the corresponding parameter along the path from the source to the destination cannot exceed a pre-determined value.
These constraints have implications for the transport world largely due to the service level agreements (SLA's) between the carriers and the customers. In a packet switched network, network designers measure QoS parameters in terms of parameters such as available bandwidth, jitter, packet loss ratio, and end to end delay. But these measures of quality do not make much sense in the optical world since optical networks are inherently circuit switched.
For wavelength routed transparent networks, which carry data by modulating light, optical parameters, such as optical signal-to-noise ratio (OSNR), polarization mode dispersion (PMD), noise on a link, and cross talk between channels, need more attention. Thus, an inter-domain path computing procedure should take parameters such as these into consideration when calculating a path. Network designers can typically tolerate impairments associated with these parameters within a single AS since the distance between the source and the destination nodes are within some tolerable limit, but such impairments can become significant if the light that is carrying data spans multiple domains without any electronic conversion. Thus, protocols like BGP, if used as part of the control plane for inter-domain routing, should take such parameters into consideration.
Procedures currently exist that relate to computing constrained paths satisfying link constraints and an additive constraint, but these solutions are sequential and are appropriate when the path computation is done locally within a node. Intra-domain protocols, like OSPF, ISIS, do path computation on a local basis. Douglas Reeves and Hussein Salama in “A Distributed Algorithm for Delay-Constrained Unicast Routing, IEEE/ACM Transactions on Networking, Vol. 8, No. 2, April 2000, pp. 239-250, describe a distributed procedure, i.e., a delay constrained unicast routing (DCUR) procedure, to solve the RSP problem. However, the DCUR procedure does not fit into any of the current protocols used in computing paths. Thus, it would be difficult to extend currently used protocols to incorporate the DCUR procedure.
The present invention relates to distributed systems and methods for finding a path from a source node to a destination node where the path chosen satisfies a path constraint for a first additive path parameter and concurrently optimizes a second additive path parameter. One embodiment of the invention provides a routing method. The method includes receiving at a current node a construct path message from a neighboring previous node. The construct path message includes first and second values for first and second additive parameters. The method includes checking whether the first value satisfies an optimality condition and whether the second value indicates a feasible path given a path constraint. If the first value satisfies an optimality condition and the second value indicates a feasible path given a path constraint, then the method (i) sends out a construct path message to a next neighboring node, (ii) increments a number-of-acknowledgement-messages variable by the number of construct path messages sent, and (iii) adds an entry to a predecessor array stored at the current node. The entry includes an identifier for the predecessor neighboring node, the first path value, and the second path value. If not, the method sends an acknowledgement message to the neighboring previous node.
Another embodiment provides a routing system. The routing system includes a construct path message receiving module operative to receive a construct path message from a neighboring node. The construct path message includes first and second values for first and second additive parameters. The system includes an optimality and path constraint feasibility testing module in communication with the construct path message receiving module and operative to check whether the first value satisfies an optimality condition and whether the second value indicates a feasible path given a path constraint and, if the first value satisfies an optimality condition and the second value indicates a feasible path given a path constraint, operative to send out a construct path message to a next neighboring node. The system includes a number of acknowledgment messages management module in communication with the testing module and operative to increment a number-of-acknowledgement-messages variable by the number of construct path messages sent. The system also includes a predecessor array management module in communication with the testing module and operative to add an entry to a predecessor array stored at the current node. The entry includes an identifier for the predecessor neighboring node, the first path value, and the second path value.
The present invention relates to distributed systems and methods for finding a path from a source node to a destination node where the path chosen satisfies a path constraint for a first additive path parameter, e.g., delay, and concurrently optimizes a second additive path parameter, e.g., cost. This problem in graph theory is called the Restricted Shortest Path (RSP) problem. The RSP problem can be formally stated as follows:
Consider a point-to-point communication network represented as a directed graph N=(V,E), where V is the set of nodes and E is the set of links in N. A link directed form node u to node v is denoted by e=(u,v). Each link e is associated with three non-negative real numbers, cost c(e), delay d(e), and bandwidth b(e).
Define a path P from node vo to node vk as an alternating sequence of distinct nodes and links such that P(vo, vk)=vo, e1, v1, e2, . . . , ek, vk where ei=(vi-1, vi)εE, for 1≦i≦k. The cost c(P) and the delay d(P) of the path P are defined as:
c(P)=E c(e)
d(P)=E c(e), where e εP
Suppose one is given real numbers T and B, where T serves as a measure of the maximum allowable delay on any s-t path in N and B serves as a measure of the minimum available bandwidth on every link comprising the path, then the problem is to find a feasible s-t path P, i.e., a path that satisfies d(P)≦T and b(e)≧B for each e on path s-t, while attempting to minimize the cost function.
Cost, c(e) could be any cost function and in the simplest case this could be initialized to one, representing a hop along the path. More generally, c(e) could represent any additive parameter. Although d(e) represents delay in the example provided above in order to make the present explanation more meaningful, this parameter could be replaced by any other additive parameter distinct from c(e).
Alternatively, this problem could be stated without the link, i.e., bandwidth, constraint.
Stated with or without link constraint(s), the RSP problem is nondeterministic polynomial time (NP)-hard, i.e. there do not appear to be any polynomial time methods to solve the RSP problem. Hence the RSP problem needs to be solved using heuristics.
A solution to the above-described RSP problem provides paths satisfying a path constraint while at the same time optimizing another additive parameter. As noted, one embodiment of a routing procedure according to the invention takes into account a third parameter, a link parameter such as bandwidth, which has to satisfy a link constraint. However, it is possible to extend a procedure according to the present invention to incorporate a plurality of link constraints. In one embodiment, the invention extends BGP to incorporate the procedures described below.
The present invention is an extension of the Bellman-Ford-Moore (BFM) procedure for the shortest path problem. Most of the distributed route computing protocols like routing information protocol (RIP) and BGP use the distributed version of the BFM procedure to route traffic.
With reference to
With reference to
The CP module 92 can further include a construct path entry creation module 162 operative to create an entry associated with receipt of a construct path message and a link parameter feasibility testing module 166 operative to determine if value for a link parameter meets a link constraint.
In operation, the system of
CLABELi: This variable can represent number or hops or any other cost function. It contains the sum of the edge cost values on the path from the source to a given node.
DLABELi: This variable represents the sum of the edge delay values on the path from the source to a given node.
PREDARRAYi,: This is vector element that is part of an array that is contained in a node. Every time a node receives a “Construct_Path” message and its CLABELi, and DLABELi is modified, the id of the labeling node, its cost and delay values are stored in the array, hence every entry is of the form (a, b, c) where a is the pred node id, b is the CLABELi, value and c is the DLABELi value.
NUM_ACKi,: This variable stores the number of Acknowledgments (Ack) messages that are yet to be received by a node. A node expects an Ack for every “Construct_Path” message sent out by a node.
SHODELAYDIST: This is a vector that holds the shortest distance values with respect to delay to every other node. This vector could be constructed by exchanging distance vectors among neighbors similar to the technique used by distant vector protocols.
One can divide embodiments of methods according to the invention into the following phases/procedures:
Initialization Phase:
The method checks 104 whether there exists a feasible path in terms of a path constraint. This test can be executed by comparing the SHODELAYDIST vector for the destination entry with the constraint Ti. If the value of Ti is less than the corresponding value in the vector, then there is no feasible path and the method returns 108 an appropriate message to the calling application. Else, if there is a feasible path, the method tests 106 each of the outgoing links for the link constraint Bi,. The method sends out 112 a construct_path, message to its neighbors, only if the link connecting the current node and the neighboring node has sufficient bandwidth. The method performed at the current node also increments 114 the NUM_ACKi variable by the number of Construct_pathimessages sent out.
The Construct_pathi, message consists of the following parameters, the application id i, the dest id desti, the CLABELi, DLABELi, the constraints Ti, and Bi, the message also carries a PREV_NODEi which is the id of the node sending the message.
Path Construction Phase:
With reference to
Using the CLABELi, and DLABELi, values included in the Construct_path message, the method checks 120 the first additive parameter, e.g., cost, optimality and the second additive parameter, e.g., delay, feasibility conditions. If the first value satisfies an optimality condition and the second value indicates a feasible path given a path constraint 122, then the method tests whether each outgoing link satisfies 124 a link constraint. If an outgoing link to a next neighboring node satisfies the link constraint, then the method (i) sends 126 out a construct_path message to the next neighboring node, (ii) increments 128 a number_of_acknowledgement_messages variable by the number of construct_path messages sent, and (iii) adds 127 an entry to a predecessor array stored at the current node, the entry including an identifier for the predecessor neighboring node, the first path value, and the second path value. If either of the tests at 122 or 124 fail, the method sends 130 an acknowledgement message to the neighboring previous node.
Receive Acknowledgment Phase:
With reference to
Terminate Phase:
With reference to
Backtracking Phase:
With reference to
An expansion on the process of determining the predecessor node based on a back track message now follows. In the present scheme PREDARRAYi(v) is a list of entries. Each entry in the list has three components (x, y, z). Initially PREDARRAYi (v) for every node v has only one entry, namely (v,0,0). When the labels of a node v are updated by node u then an entry (x,y,z) is added to the list PREDARRAYi (v) where x ,y and z are defined as follows.
x=u, y=CLABEL(u), and z=DLABEL(u).
With this definition of PREDARRAYi(v) lists, our scheme for tracing the s-t path is:
The messages described above, e.g., the construct_Path message and the acknowledgment message, refer to messages having the functionality outlined above. Thus, the present invention is not limited in scope to messages having identical names to those used herein for illustrative purposes. In other words, embodiments of the present invention contemplate the use of messages that perform the functions described above and are not limited by the name of the message types.
Having described phases of embodiments of the invention, psuedo code of the above-referenced phases/procedures now follows:
The following variables are assumed to have the same meaning in all the procedures and are also used in receiving a particular message:
Source Initialization Procedure
Construct Path Procedure
Receive Acknowledgement Procedure
Terminate Procedure
Back Track Procedure
Having provided psuedo code for embodiments of the invention, a description of a system 300 representing an exemplary node that can implement features of the present invention now follows. The system 300 includes a bus or other communication means 302 for communicating information between components of the system. The system 300 further includes a processor 304 coupled to the bus 302 and a main memory, e.g., a random access memory (RAM) or other dynamic storage device 306 also coupled to the bus. The RAM stores instructions for execution by the processor 304. The main memory can also store temporary variables. The system 300 can include a mass storage device 316 coupled to the bus 302 for storing information that is not accessed as regularly as information stored in RAM.
System 300 can include a display 308 for displaying information such as status of the node. The system can include an input devices such as a cursor control device 312 and a keyboard 310 for allowing a network administrator to provide input.
System 300 can also include a communication device 314. The communication device 314 allows the system to communicate with other nodes. The communication device 314 can include a network card, an RF transceiver, and other well-known communication devices for coupling to a network.
Embodiments of a mechanism according to the present invention for finding a path satisfying a constraint can be used in protocols such as BGP, where paths are computed in a distributed manner. With respect to a wavelength routed network where BGP would be a part of the GMPLS control plane, one could extend BGP suitably to find constrained paths spanning multiple domains.
The present procedure is an extension to the BFM procedure, which is used in many routing protocols, where paths are computed based on distance vectors. Thus, it is relatively easy to extend many currently used routing protocols to incorporate the present invention and to compute constrained paths. The present solution proposed for the RSP problem would make a network scalable by breaking down large photonic network into different AS's without compromising on the QoS promised to the network's costumers. The present invention also facilitates bridging the gap between the inter-domain and the intra-domain protocols in computing paths satisfying link and path constraints.
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