The present invention relates generally to network traffic engineering, and in particular to a path-flow formulation for defining Fast Reroute (FRR) bypass paths in Multi-Protocol Label Switching (MPLS) enabled IP networks.
Multi-Protocol Label Switching (MPLS) is a data-carrying mechanism and protocol for packet-switched networks, such as Internet Protocol (IP) networks. MPLS encapsulates IP packets and attaches an MPLS header including a label stack. MPLS-labeled packets are routed through a network along logical Label Switched Paths (LSPs) by performing a Label Lookup/Switch at routing nodes instead of a lookup into the IP table. An LSP is a logical entity that defines a unidirectional traffic flow between two network endpoints, and may include numerous other attributes, such as bandwidth requirements, one or more explicit routes, and the like. When an LSP does not include an explicit route, the actual route of traffic between the endpoints is determined dynamically by Label Switching Routers. Many independent LSPs may be routed through a single network node or link. MPLS supports multiple service models, and provides advantageous traffic management tools.
Fast Reroute (FRR)—also known in the art as MPLS local protection—is a network resiliency mechanism that protects network facilities, such as links and nodes, by defining one or more bypass or backup LSPs to carry traffic around each facility (parallel bypass LSPs protecting the same facility are called a bypass bundle). In the event of a network failure, traffic is directed onto a backup LSP beginning at a Point of Local Repair (PLR), bypassing the failure and merging with the primary LSP at a Merge Point (MP). FRR provides faster recovery than, e.g., recovery mechanisms at the IP layer (which may take several seconds), because the decision of recovery is strictly local. FRR targets to reroute traffic within 50 ms upon failure.
FRR relies on the RSVP traffic engineering (RSVP-TE) protocol, whereby each LSP traversing a link reserves sufficient bandwidth, or link capacity, for its traffic. Link bandwidth not reserved for primary LSPs, referred to herein as spare link capacity or protection bandwidth, is available for FRR and allows bypass LSPs to be routed along the link. Defining bypass LSPs along links having sufficient spare link capacity to carry the traffic of a protected facility, while complying with numerous system constraints to minimize the impact of a failure on MPLS operation, stands as the central problem in FRR design and implementation.
The design of FRR bypass LSPs using an arc-flow formulation is known in the art. In an arc-flow formulation, each link, or network arc, is assigned a decision variable having a binary, integer value (i.e., 0 or 1) indicating whether it is included in a bypass LSP or not. The arc-flow formulation first finds the spare link capacity using a mixed integer linear programming (MILP) model, and then derives routes for the bypass LSPs based on the discovered spare link capacity. This process is computationally complex, and is limited in its ability to accommodate other network constraints in formulating the bypass LSPs.
In one or more embodiments of the present invention, a path-flow formulation of defining MPLS FRR bypass LSPs is presented. Broadly described, the path-flow formulation comprises first identifying a set of candidate bypass LSPs, each of which meets various network constraints and has an explicit route around a network facility to be protected. The constraints may include Quality of Service (QoS) guarantees, implementation requirements, network element resource limitations, and resiliency requirements. The constraints may be user-selected, and may be non-linear. The set of candidate bypass LSPs form a linear programming (LP) problem, or an integer linear programming (ILP) problem if the allowable number of bypass LSPs is constrained. In an optimization step, LP solutions are used to select the bypass LSPs from among the candidate bypass LSPs by allocating bandwidth to them. In one embodiment, the spare subscribed bandwidth is reduced by sharing spare link subscribed bandwidth on a given link among different bypass bundles, under the assumption of only single-point network failures.
One embodiment relates to a method of defining FRR bypass tunnels on a MPLS network using a path-flow formulation. A network facility to protect is specified. A plurality of candidate bypass Label-Switched Paths (LSP) that satisfy predetermined path and bandwidth constraints and have explicit routes, to carry traffic flows in the event of a failure of a protected facility, are computed. Then, one or more bypass LSPs are selected from among the candidate bypass LSPs by allocating protection bandwidth to the bypass LSPs.
Another embodiment relates to a computer readable medium including one or more computer programs operative to cause a computer to define FRR bypass LSPs for a MPLS network using a path-flow formulation. The computer programs are operative to cause the computer to perform the steps of receiving network topology information; receiving identification of a network facility to protect; receiving predetermined path and bandwidth constraints; computing a plurality of candidate bypass LSPs that satisfy the predetermined path and bandwidth constraints and have explicit routes, to carry traffic flows in the event of a failure of a protected facility; selecting from among the candidate bypass LSPs one or more bypass LSPs by allocating protection bandwidth to the bypass LSPs; and outputting the bypass LSPs.
Yet another embodiment relates to a method of minimizing the link spare subscription of a network link in a MPLS network implementing FRR to protect a node. One or more bypass LSPs are defined to carry traffic around the node in the event of a node failure, the backup LSPs traversing the link. If the link contains at least two bypass LSP and the bypass LSPs share one or more links in the network routes they protect, the aggregate protection bandwidth of the bypass LSPs is reduced such that each bypass LSP protects the bottleneck bandwidth along its protected route and such that the combined bandwidth of each bypass LSP that shares a protected route link is less than or equal to the minimum RSVP bandwidth of the shared link.
According to embodiments disclosed and claimed herein, FRR bypass LSPs are defined and optimized using a path-flow formulation. The characterization of network optimization problems as arc-flow or path-flow is defined in Ravindra K. Ahuja, et al., Network Flows—Theory, Algorithms, and Applications §3.5 (1993), incorporated herein by reference. In the path-flow formulation, the PLR/MP pairs protecting a network facility are defined and tested against various network constraints to generate a set of candidate bypass LSPs, each of which meets the constraints and has an explicit route. In a subsequent optimization step, formulated as a linear programming (LP) or integer linear programming (ILP) problem, the final bypass LSPs are selected by allocating bandwidth to them.
The path-flow formulation provides the significant advantage that numerous, user-selectable, non-linear network constraints may be applied at the first step—defining the candidate bypass LSPs—making the process more amenable to real-world FRR design problems. Indeed, many of these constraints cannot be accommodated at all in the prior art, arc-flow formulation of the FRR design problem. The two-step, path-flow formulation of first applying constraints and then optimizing the selection of routed LSPs meeting the constraints, is less computationally complex than arc-flow formulations for a given network complexity, providing for a faster solution and enabling iterative formulations considering different network constraints.
FRR bypass LSPs defined according to the path-flow formulation of the present invention achieve desired optimization objectives while still maintaining a certain network survivability level and a set of constraints on: Quality of Service (QoS) guarantees of traffic flows; implementation requirements of FRR bypass LSPs; resource limitations of network elements such as links, ports or routers; and resiliency requirements such as the facility to be protected, bandwidth pools to be protected, and shared risk groups to be considered for diversity.
Representative optimization objectives are to minimize the maximum subscription of the link residual bandwidth; to minimize the total subscribed link spare bandwidth; or to maximize the minimum link residual bandwidth.
The facility protection goal can be a perfect survivability level that achieves complete (100%) bandwidth protection. This can be represented as a bandwidth protection constraint in the LP. In the case that 100% bandwidth protection cannot be achieved, the bandwidth protection constraint may be relaxed and used as a part of the objective function to maximize the bandwidth protection percentage.
Constraints that may be applied to the path-flow FRR design include QoS guarantees of the working LSPs, requirements of bypass LSPs, resource limitations on network elements, and resiliency requirements.
QoS guarantees of working LSPs include the hop constraint of the route of each individual LSP, the hop increase constraint of the route of each individual LSP, the delay constraint of the route of each individual LSP, and the delay increase constraint of the route of each individual LSP.
Bypass LSP requirements include the diversity constraint of the route of each bypass LSP to be disjoint of its protected facility, the minimum bandwidth constraint of each bypass LSP, the maximum bandwidth constraint of each bypass LSP, and the maximum number of parallel bypass LSPs that belongs to the same bypass LSP bundle and protect the same facility.
Resource Limitations on network elements include the link spare capacity that could be used for any bypass LSPs (this is frequently the link physical bandwidth minus the RSVP maximum reservable bandwidth), MPLS capability on various routers and interfaces, RSVP capability on various routers and interfaces, IP Routing capabilities on various routers and interfaces, and resource bits colored on each interface of a link for MPLS Traffic Engineering purposes.
Resiliency requirements include the set of facilities to be protected using FRR bypass LSPs (and additionally, which bandwidth pools of the facility to protect), any Shared Risk Group definition that could impact the diversity constraint between the bypass LSPs and their protected facility, and using provided Shared Risk Groups to expand the direct route into a set of taboo links that the bypass LSPs should not use.
In one or more embodiments, existing bypass LSPs are inspected and validated against the same constraints applied in defining the candidate bypass LSPs. Limited maintenance is performed on existing bypass LSPs that violate these constraints. The repaired, existing bypass LSPs then join the set of candidate bypass LSPs in an optimization process that selects the best set of bypass LSPs by allocating bandwidth to them. These steps may be performed in sequence or separately.
The backup bandwidth is the required bandwidth to be subscribed on the link spare subscription along the route of a bypass LSP. The backup bandwidth for a bypass bundle is the sum of the backup bandwidth of the bypass LSPs in the bypass bundle. To achieve full protection, this value should be equal to or larger than the total subscribed bandwidth of the primary LSPs over or through a protected network facility. Without knowledge of the primary LSPs, the required bypass bundle backup bandwidth must be estimated from the bottleneck capacity or link load on the protected route. Accordingly, the decision of backup bandwidth for bypass LSPs is critical to design and deploy FRR bypass LSPs.
Bandwidth protection is an approach to designing and deploying FRR that uses the RSVP maximum reservable bandwidth as the bandwidth to be protected by FRR bypass LSPs. Neither the primary LSP routes nor the link load need be known, since the whole link RSVP bandwidth is protected by the bypass LSPs. The backup bandwidth of a bypass bundle must be estimated by the maximum possible primary subscribed bandwidth along the protected route. A conservative upper bound is the minimum link RSVP bandwidth on the protected route. The bandwidth protection approach thus attempts to protect link RSVP bandwidth without knowing where the primary LSPs are routed. With this approach, the FRR protection is not sensitive to changes in the routing of the working LSPs. This allows the FRR planning timescale to be much greater than the timescale for traffic engineering of the working LSPs.
For each network facility to be protected, the routers that may serve as a Point of Local Repair (PLR) and Merge Point (MP) of the facility are determined (block 204). For each PLR/MP pair, its protected route bandwidth and bottleneck RSVP bandwidth are determined (block 206). A bypass bundle comprising one or more candidate bypass LSPs is created from the PLR to the MP, in accordance with a variety of user-supplied network constraints (block 208). The protected route is associated with the bypass bundle (block 210). Backup bandwidth is assigned to the bypass bundle, based on the bottleneck bandwidth above (block 212). The bypass bundle is then associated with the PLR interface (block 214). If another PLR/MP pair exists for the protected facility (block 216), the next PLR/MP pair is selected (block 218), and a new set of candidate bypass LSPs are defined (blocks 206-214).
When all candidate bypass LSPs for a given facility have been defined (i.e., there are no remaining PLR/MP pairs for the facility) (block 216), the actual bypass LSPs are determined by allocating backup bandwidth on the residual network of the facility (block 220). That is, a candidate bypass LSP that is allocated bandwidth is a valid bypass LSP; a candidate bypass LSP that is allocated no bandwidth is effectively not selected as a valid bypass LSP. This optimization requires solving a multi-commodity flow problem, which may be characterized as a linear programming (LP) problem. If the number of bypass LSPs is constrained to a specific integer value, the problem may be characterized as an integer linear programming (ILP) problem. A variety of tools for solving LP/ILP programs are known in the art, for example, the open-source software package lp_solve.
Note that blocks 206-214 in
As discussed above, the total bandwidth of the bypass LSPs for a protected facility is at least the bottleneck RSVP bandwidth of their protected route. Multiple bypass LSPs can provide load-balancing. However, they also introduce a packing problem: the primary LSPs need to decide which bypass LSP they should select. This packing problem is not considered in the planning of bypass LSPs, but rather is an operational problem solved inline by Label Switched Routers at the time of a failure.
The following notation is used to present a representative embodiment of path-flow formulation of the bandwidth protection approach to FRR design:
The network is represented by a directed graph G(N,E).
A node iεN denotes a router and an arc l=(i, j)εE denotes one direction of a link, where i and j are the head-end and tail-end router, respectively.
The link capacity is ul. The RSVP maximum reservable bandwidth is cl. The residual capacity is rl=ul−cl.
A set of facility F are given. The element fεF can be either a link lεE or a node iεN. Since the problem can be partitioned for individual facilities, index f is omitted in the formulations without any confusion.
A link facility has two end routers and two bypass bundles. Each bypass bundle protects one direction of the link. A node facility has multiple adjacent routers as its PLRs and MPs. They can construct a set of full meshed bypass bundles.
The number of the adjacent routers d for a link facility is 2.
For a node facility, d is equal to the degree of this node.
The set of protected routes is K with its size |K|=d*(d−1).
Each protected route is indicated by plk:1 means link l is used in the protected route, 0 otherwise.
For a protected route k, its protected subscription is bk. In the bandwidth protection approach, this value is not known. However, the bottleneck RSVP bandwidth b*k can be pre-calculated and substituted for bk.
The bypass bundles are indexed by the same k used in their protected routes. The one-to-one relationship between a bypass bundle and its protected route avoids any confusion.
A bypass bundle k has one or more bypass LSPs to protect the bottleneck RSVP bandwidth bk.
The link residual capacity subscribed by bypass bundles is sl,lεE,o≦sl≦rl.
On edge l=(i, j)εE, the bypass bundle k subscribes a bandwidth of xlk=x(i,j)k,xlk≧0.
For a protected route k,kεK the links l,lεE used by this direct route are denoted as pkl=1, while the links not used by it have pkl=0.
A set of Shared Risk Groups (SRGs) is R; whether the group rεR contains link l is indicated by grl=1, or grl=0 otherwise. A bypass LSP should not use any taboo links that belong to any SRGs that influence its protected route.
A set of taboo links is indicated by tkl where tkl=1 for any taboo link l, and tkl=0 otherwise. Equation (1) is used to precompute tkl where the summation operation uses the binary operator 1+1=1, rather than decimal addition:
Let M be an arbitrary large number that is bigger than the maximum link capacity. For a bypass bundle k, let o(k) and d(k) be its PLR and MP routers.
The path-flow formulation uses decision variables to choose a solution out of a set of pre-computed paths (i.e., candidate LSPs that meet predetermined constraints and have explicit routes).
Let Qk be the number of candidate paths for a bypass bundle k.
Let δqlk equal to 1 if the q-th path in the candidate path set of bypass bundles k uses link l, or 0 otherwise.
Let zpk be the subscribed bandwidth on the q-th path of bypass bundle k. This is the decision variable in the LP or ILP problem formulation. By allocating bandwidth to selected ones of the candidate bypass LSPs, the optimization phase (LP/ILP problem solution) effectively selects bypass LSPs from among the candidate bypass LSPs. That is, a candidate bypass LSP allocated no bandwidth is not selected and will not be a bypass LSP.
The optimization formulation is:
The objective (2) minimizes with a total link spare subscription. The constraint (3) limits the total spare subscription below a preset subscription value α on the link residual capacity.
The constraint (4) computes the aggregated link spare subscription from its contained bypass LSPs. However, for the node protection approach this is a conservative upper bound. A tighter bound on the aggregated link spare subscription in the node protection case is computed through a more complex set of equations described later.
The constraint (5) limits the total subscription carried on all candidate LSPs of the bypass bundle that satisfied the requirements. This constraint is relaxed when providing 100% protection is infeasible (i.e., the = becomes <= and the objective function is altered to maximize the bandwidth protection percentage).
zqk≧0,∀q,1≦q≦Qk,∀k,1≦k≦K (6)
The bound (6) specifies that each candidate LSP carries non-negative flow.
The hop and delay constraints have been captured by filtering the candidate LSPs in the path formulation. This simplifies the math programming model significantly, as compared to prior art arc-flow formulations, in which these constraints are much more difficult to model.
MPLS router implementation includes a parameter defining a maximum number of bypass LSPs, which is used to limit the number of parallel bypass LSPs protecting the same route. Considering this parameter in the FRR design problem will change the above linear programming (LP) formulation into an integer LP (ILP) problem. This is a non-deterministic polynomial (NP) problem.
Let variable yplk equal 1 if the p-th candidate LSP of the bypass bundle k is used in the solution, or 0 otherwise. Let pmax denote the maximum number of bypass LSPs allowed. The extra formulation to consider this constraint is:
The path-flow formulation first computes a set of candidate bypass LSPs, and then creates a linear programming model, which may be solved using existing tools such as lp_solve. However, when the integer constraints (7) to (9) are considered in the model, the path formulation becomes a large scale Integer Linear Program (ILP) problem. It has a large number of columns, each one for a decision variable. Column generation is a known algorithm to solve such path-flow formulations of the multicommodity flow problem.
As noted above for node protection, the spare link subscribed bandwidth value of a given link is not simply the aggregated backup bandwidth of its contained bypass LSPs. Since the backup bandwidth of bypass LSPs is an estimated upper bound of the actual RSVP load over the protected routes, the link spare subscribed bandwidth could be reduced when multiple bypass LSPs are routed over a link when they also have overlapped links on the protected route(s). A simple example is given in
A more complicated example is presented in
Let dk be the possible carried bandwidth on bypass LSP k,k=1, . . . , 4. The upper bound of this value is the minimum link RSVP bandwidth on the protected route of this bypass LSP. We call this bottleneck bandwidth. The value in dk can be a value smaller than this bottleneck bandwidth under certain situations, such as the one described below.
Let rl=rij be the RSVP bandwidth of link l,l=(i, j)εE. Let sl=sij be the subscribed spare bandwidth on link l,l=(i, j)εE. To find the spare subscribed bandwidth on link R2-R3, the following steps are performed:
1. Collect the bypass LSPs traversing link R2-R3, i.e., bLSP1, bLSP2, and bLSP3.
2. The spare link load on link R2-R3 is the largest possible value of the total backup bandwidth of its contained bypass LSPs:
s23=max(d1+d2+d3) (10)
3. Checking these three bypass LSPs in Table 1 for their overlapped links on their protected routes, the following constraints can be found on columns “1-2” and “1-4”:
s.t.d1+d3≦r12=14 (11)
d1+d2≦r14=20 (12)
4. Meanwhile, each bypass LSP should protect the bottleneck bandwidth along its protected route:
0≦d1≦min(r12,r14)=14 (13)
0≦d2≦min(r15,r14)=16 (14)
0≦d3≦min(r12,r16)=14 (15)
These constraints ensure that the spare subscribed bandwidth value in (10) is smaller than the simple accumulated approach, where the backup bandwidth is fixed conservatively at its upper bound—the bottleneck RSVP bandwidth along its protected route:
dk=min(rij,∀(i,j)εprotected route of bypass LSP k)
This formulation is a linear programming problem with the objective function as (10) and constraints (11)-(15). The solution can be found by solving this problem by hand: s23=30 when the optimal solutions (d1, d2, d3) are located on a line between (0, 16, 14) and (4, 16, 10).
For link R3-R4, using similar steps as just described, the following LP problem is derived:
s34=max(d1+d2+d3+d4) (16)
s.t.d1+d3≦r12=14 (17)
d1+d2≦r14=20 (18)
d3+d4≦r16=15 (19)
0≦d1≦min(r12,r14)=14 (20)
0≦d2≦min(r15,r14)=16 (21)
0≦d3≦min(r12,r16)=14 (22)
0≦d4≦min(r13,r16)=10 (23)
The optimal solution is s34=35, when (d1, d2, d3, d4)=(4, 16, 10, 5).
In the above two examples, we assume bypass LSPs' routes are known. The required spare link subscribed bandwidth sl on link l must be computed. Next, we formulate the problem using a more abstract math programming model so that it can be incorporated into the FRR design model. We define the following notations:
Let Θ denote the protected route-to-link incidence matrix. Its element θkl is 1 if the protected route of bypass LSP k traverses link l, and 0 otherwise. An example of this matrix is the first five columns of Table 1 above.
Let Δ denote the bypass LSP route-to-link incidence matrix. Its element δkl is 1 if bypass LSP k traverses link l, and 0 otherwise. An example of this matrix is the last four columns of Table 1 above.
Let the column vector dl contain elements of the maximum possible backup bandwidth dkl on bypass LSP k,1≦k≦K when these bandwidths contribute to the maximum spare capacity sl on link l.
Let the column vector r contain elements of the RSVP bandwidth rl on link l, where l=(i,j)εE or 1≦l≦L,L=|E|.
Let the column vector s contain elements of the spare subscribed bandwidth sl on the link l, 1≦l≦L.
For a given link l, the formulation to find spare capacity sl is:
The objective (24) is to minimize the spare subscribed bandwidth on link l. The design variables are the possible carried bandwidth δkl on bypass LSP k for link l. The equation (25) computes the link spare subscribed bandwidth by taking the maximum value of accumulated bandwidth of all backup LSPs that traverse this link. Equations (24) and (25) generalize equations (10) and (16), respectively, in the previous examples.
The constraint (26) applies to any set of bypass LSPs whose protected routes traverse the link j. The total carried backup bandwidth of these bypass LSPs, computed on the left-hand side, does not exceed the link RSVP bandwidth, rj, on the right-hand side. This constraint generalizes (11)-(12) and (17)-(19) in the previous examples.
θkj(dkl−rj)≦0,∀k,1≦k≦K,∀j,1≦j≦E (27)θkjdkl≦θkjrj (28)
≦rj,∀k,1≦k≦K,∀j,1≦j≦E (29) (26)
The constraint (27) requires that the backup bandwidth of a bypass LSP does not exceed the bottleneck RSVP bandwidth on its protected route. This constraint generalizes (13)-(15) and (20)-(23) in the previous examples. This constraint is not included in the model because it is weaker than the earlier constraint (26).
This model can be used to inspect existing bypass LSPs and their protected routes to evaluate whether they satisfy the bandwidth protection requirements, and hence may join the candidate bypass LSPs in the path-flow formulation FRR solution. During the optimization phase of the path-flow formulation (i.e., selecting bypass LSPs by allocating bandwidth to them), constraints (25)-(26) must be incorporated. The design variable dkl is partitioned by xkpl for each candidate path p of the protected route k. The variable xkql is not only for a candidate path p of protected route k, but also for a link l whose spare subscribed bandwidth sl must be determined.
The path-flow formulation of the design of bypass LSPs for FRR in a MPLS network discussed herein may be implemented by discrete calculations, by specialized software executing on a general-purpose computer or dedicated network monitoring/optimization workstation, or by any combination of software, dedicated hardware, firmware, or the like, as known in the computing arts. In one exemplary embodiment, the design and optimization of bypass LSPs for FRR is implemented as part of a network analysis and optimization software program, such as the OPNET SP Guru Release 12.0, available from OPNET Technologies, Inc.
Input to such a software program—network topology, network facility capabilities, facilities to be protected, network constraints to apply to bypass bundles, and the like—may be obtained by the program in a variety of ways, as known in the programming arts. For example, network topology may be read from a file or obtained by an analysis of an actual network, as represented in any known form. Facilities to be protected and constraints to apply to the path-flow FRR formulation may be obtained interactively from a user, such as via user-selectable options in a user interface element such as a window. FRR bypass bundles generated may be output as graphs, listings of network elements, or in any other format, as known in the art.
As used herein, a “candidate bypass LSP” is an MPLS Label-Switched Path between a PLR and MP of a network facility to be protected, that meets all applied network constraints and additionally has an explicit route defined from the PLR to the MP. As used herein, a “bypass LSP” is an LSP selected from among the set of candidate bypass LSPs by allocating bandwidth to the bypass LSP. Two or more parallel backup LSPs that protect the same facility form a “bypass bundle.”
Although the present invention has been described herein with respect to particular features, aspects and embodiments thereof, it will be apparent that numerous variations, modifications, and other embodiments are possible within the broad scope of the present invention, and accordingly, all variations, modifications and embodiments are to be regarded as being within the scope of the invention. The present embodiments are therefore to be construed in all aspects as illustrative and not restrictive and all changes coming within the meaning and equivalency range of the appended claims are intended to be embraced therein.
This application claims priority to U.S. Provisional Application Ser. No. 60/807,707, filed Jul. 18, 2006, and incorporated herein by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
6778492 | Charny et al. | Aug 2004 | B2 |
6978394 | Charny et al. | Dec 2005 | B1 |
7012919 | So et al. | Mar 2006 | B1 |
7230913 | Vasseur et al. | Jun 2007 | B1 |
7398321 | Qiao et al. | Jul 2008 | B2 |
7406032 | Li et al. | Jul 2008 | B2 |
7693046 | Rajagopalan et al. | Apr 2010 | B2 |
7760621 | Xiao et al. | Jul 2010 | B2 |
20030126287 | Charny et al. | Jul 2003 | A1 |
20050188100 | Le Roux et al. | Aug 2005 | A1 |
20060146733 | Alicherry et al. | Jul 2006 | A1 |
20060159009 | Kim et al. | Jul 2006 | A1 |
20060187819 | Bryant et al. | Aug 2006 | A1 |
20070036072 | Raj et al. | Feb 2007 | A1 |
20070140247 | Ansari | Jun 2007 | A1 |
20070201375 | Hallinan et al. | Aug 2007 | A1 |
20080049609 | Chao et al. | Feb 2008 | A1 |
20080304494 | Yokoyama | Dec 2008 | A1 |
Number | Date | Country | |
---|---|---|---|
20080019266 A1 | Jan 2008 | US |
Number | Date | Country | |
---|---|---|---|
60807707 | Jul 2006 | US |