Joint Multilayer Planning of Survivable Elastic Optical Networks P. Papanikolaou, K. Christodoulopoulos, E. Varvarigos Department of Computer Engineering and Informatics, University of Patras, Greece and Computer Technology Institute and Press – Diophantus, Patra, Greece High Speed Communication Networks Laboratory National Technical University of ATHENS OFC 2016 Anaheim Convention Center, Anaheim, California, US N3: Network Architectures, Techno-Economics and Design Tradeoffs M2K. Elastic Network Optimization
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Joint Multilayer Planning of Survivable Elastic Optical Networks
P. Papanikolaou, K. Christodoulopoulos, E. Varvarigos
Department of Computer Engineering and Informatics, University of Patras, Greece and Computer Technology Institute and Press – Diophantus, Patra, Greece
High Speed Communication Networks Laboratory
National Technical University of ATHENSOFC 2016
Anaheim Convention Center, Anaheim, California, US
N3: Network Architectures, Techno-Economics and Design TradeoffsM2K. Elastic Network Optimization
OFC 2016 (1/16)
MotivationTraditional IP over WDM network survivable approach:
IP layer is responsible for recovery (but may not be sufficient, unless dual plane approach is used)
Optical Protection is another approach (but wastes resources)
Dual Plane protection approach (reactive resilience exclusively on the IP layer):
Two network copies that mutually protect each other
Over-provisioning of IP interfaces and transponders (doubles equipment)
The dual plane approach was followed in the past to account for the lack of optical agility
Emerging optical technology is dynamic, enabling the use of Multi-layer Survivability Techniques:
Multilayer coordination allows more efficient resources usage in the network
Significant energy and cost savings potential
Network Model
OFC 2016 (2/16)
IP-over-Elastic Network
Planning an IP over an elastic network consists of 3 inter-related sub-problems:
IP routing (IPR)
Virtual Topology design
Routing of lightpaths and Modulation Level (RML)
Spectrum Allocation (SA)
Multilayer CAPEX model
Optical layer: flex-grid enabled OXCs and tunable - Bandwidth Variable
Transponders (BVTs)
Modular IP/MPLS router organized into 3 component classes: basic node
(3 types of chassis), line-cards, and short reach transceivers
Compared resiliency techniques
OFC 2016 (3/16)
Technique I (reference): Dual Plane
Reactive resilience exclusively on the IP layer:
Two network copies, each one dimensioned to carry 100% of the traffic
In case of failure the other network copy absorbs the total traffic of the network
Provides resiliency from optical link, optical node, and IP node failures
Technique II: Failure driven network design
Multilayer resilience on top of the dimensioned network (2 steps):
Step 1: joint multilayer dimensioning of the network for normal operation
Step 2: Examine the possible failure states and re-dimension both layers
Dimension jointly both IP & optical layers, considering also all possible failure states of the
network
Proposed techniques II and III are used to recover from single optical link failures in this study
Dual Plane
OFC 2016 (4/16)
A and B variants of the network
Each network is dimensioned to
carry 100% of the traffic
Equal Cost Multipath protocol(ECMP) with 50:50 load sharingbefore failures
When a failure occurs, the entire
traffic is directed to the other
network
(IP/MPLS Fast-Reroute - FRR)
Response times below ∼50 ms
Failure driven network design (1/2)
OFC 2016 (5/16)
This resilience scheme consists of two steps:
1. Both IP & optical layers are dimensioned for normaloperation (i.e., no failures in the network)Objective of the design process:
min (capex, energy, spectrum)
2. The impact of all single optical link failures on IP links isaccounted and IP & optical layers are re-dimensionedaccording to the worst-case traffic
Higher response time than the dual plane approach
Some failures might require provisioning of lightpaths
High capacity efficiency: remaining capacity of primary can be used for backups additional backup capacity is shared among backup paths
of different connections in 1:∞ sharing but primary paths are fixed and are not jointly optimized
1:∞ failure driven network design (2/2)
OFC 2016 (6/16)
PrecalculationBoolean constants: Impact ofoptical link failures on IP links
ConstraintsBackup IP flows and the opticalcircuits are dimensionedaccording to the expected worst-case traffic for all single linkfailures
The backup path of aconnection can share with aprimary of another connection.
At both ends of the failedlightpath the same workingrouter interfaces are used.
InputNetwork design withoutaccounting for failures
ILP_model
Integrated ML survivable network design (1/2)
OFC 2016 (7/16)
Holistic approach: jointly considers the cost of both layers(IP/MPLS and optical) and all possible failure states
Objective of the design process:
min (capex, energy, spectrum)
To survive from any single optical link failure extra capacity is added
Even higher capacity efficiency: remaining capacity of primary can be used for backups additional backup capacity is shared among backup paths of
different connections in 1:∞ sharing but primary and backup paths are jointly optimized (so better
than Technique II) Very complicated
Higher response time than the dual plane approach
Some failures might require provisioning of lightpaths
1:∞ Integrated ML survivable network design (2/2)
OFC 2016 (8/16)
ILP_model
Network Planning considering jointly:
IP/MPLS layer costs
Optical layer costs
All possible failure states
Constraints
Extra capacity is added to thebackup lightpaths of everyconnection
Backup lightpaths are link disjointto the primary ones
The backup path of a connection canshare with a primary of another
At both ends of the failed lightpaththe same working router interfacesare used
ObjectiveThree-objective Optimization
min (CAPEX, Energy, Spectrum)
Performance results
OFC 2016 (9/16)
DT topology
Traffic provided by operator (DTAG) for 2012
Plan the network from scratch for 2014-2024
Assumption: 35% uniform traffic increase per year
Spectrum slot: 12.5 GHz
Tunable transponder (BVT) – see table
Objective: weighted minimization of the cost, energy andspectrum, focusing on the first 2 (WC = WE =0.45, withthe remaining 0.1 to be the weight of the spectrum used)
Capacity (Gb/ s) Reach (km ) Data slot sEner gy Consumpt ion
(Wat ts)Capacity (Gb/ s) Reach (km ) Data slot s
Ener gy Consumpt ion
(Wat ts)
4000 5 183.6 3000 4 270
3000 4 183.6 2500 3 270
2500 3 183.6 1900 2 270
2200 6 432 750 9 432
1900 5 432 600 7 432
750 4 333 500 5 432
1.76cost of BVT (cost units)
40 100
Bandwidth Var iable Transponders
200 400
Multi-objective Optimization Pareto front
OFC 2016 (10/16)
Objectives: CAPEX minimization vs Energy minimization
Objectives: CAPEX minimization vs Spectrum minimizationThree-objective Optimization model
MINIMIZE (CAPEX, Energy, Spectrum)
Two-dimensional Pareto-optimal fronts(using: Integrated ML survivable network design model)