Filippo Cugini, Luis Velasco, Juan Pedro Fernandez-Palacios Copenaghen, November, 2014
Research and Experimental Assessment of Control plane archiTectures for In-Operation flexgrid
Network re-optimization (REACTION)
2
Outline
• Project overview • Implemented project tools and facilities
– OPNET model – Distributed testbed
• Some project achievements on advanced use cases – Slice-ability – After failure repair optimization – Multipath restoration and bitrate squeezing
3
Participants
Participant no. Participant organisation name Participant
short name Country
1 (Coordinator)
Consorzio Nazionale Interuniversitario per le Telecomunicazioni CNIT Italy
2 Universitat Politècnica de Catalunya, Barcelonatech UPC Spain
3 Telefonica TID Spain
4
Abstract
• REACTION targets the design and validation of a flexible optical network enabling software-controlled super-channel transmission.
• The focus is on: 1. Advanced bandwidth variable transponder (BVT)
functionalities supporting multi-carrier transmission, adaptation of transmission parameters (mod. format, spectrum allocation, coding/FEC) and slice-ability
2. Advanced control plane architecture and functionalities including innovative two-level active stateful PCE including the BGP-LS advertising solution
3. Advanced routing and spectrum assignment (RSA) algorithms
Activity lead by CNIT
Activity lead by TID
Activity lead by UPC
•6
Functionalities: •Link state advertisement •Spectrum availability adv. •Extensions for flex-grid •Routing and Spectrum Assignment
OPNET Implementation (1/3): OSPF-TE
•7
Functionalities: •Reserve/Release spectrum slots along the path • Extensions for flex-grid
OPNET Implementation (2/3): RSVP-TE
8
OPNET Implementation (3/3): PCE and PCEP
Finite state machine (FSM) of the root process
FSM of the child process: specific for each PCE-PCC session.
10
Implemented control plane architecture
• Active stateful front-end PCE, in charge of computing RSA and elastic provisioning
• Back-end PCE responsible for performing complex network operation s (e.g., re-optimizations)
• To provide the back-end PCE with updated network topology info, we propose to rely on the North-Bound Distribution of Link-State and TE Information through BGP, known as BGP-LS.
Back-end PCE
TED LSP-DB
Active Solver PCEP
Server
PCEP
BGP-LS PCEP Server
Front-end PCE
Provisioning
TED LSP-DB
Inventory
11
Testbed resources
OXC1 OXC2
OXC3 OXC4
OXC5
p1 (16QAM)
p2
P3 (QPSK)
Tb/sTx/Rx
Tb/sTx/Rx
PCETED
CNIT: - IP/MPLS network testbed composed of six IP/MPLS routers (Juniper M7i/M10, Cisco 7206); - traffic generator/analyzer, - 3 ROADMs and 3 flexi-grid WSS; - Optical terabit/s TX with coherent RX - Advanced control plane including GMPLS and PCE as well as SDN controller and agents. UPC: – Back-end PCE The test-bed supports the most advanced RSA algorithms and interoperates with the PCEs of the other partners. Telefonica I+D: - Flexgrid testbed with Flexgrid ROADMS from Cisco - control plane emulator supporting multiple domains and including GMPLS and PCE extensions for Flexgrid.
12
Slice-ability (1/2)
• Flexibility to cope with traffic increase – support connections to different destinations, each served by a
sub-set of sub-carriers.
Sliceable
functionality applied to a single four-carrier SBVT
37,5GHz
150 GHZ
Year 1Four different destinations
100G 100G 100G 100G
125 GHZ
200G 200G
Year 2Two different destinations
100 GHZ
400G
Year 3Single destination
13
Slice-ability (2/2)
37,5GHz
150 GHZ
Year 1Four different destinations
100G 100G 100G 100G
125 GHZ
200G 200G
Year 2Two different destinations
100 GHZ
400G
Year 3Single destination
Single path with low spectrum use vs.
multi-path with overall larger spectrum?
s d
• Flexibility in provisioning and recovery
15
Performance evaluation: Recovery
Sliced
No Sliced Adaptive
[Ref] M. Dallaglio, A. Giorgetti, N. Sambo, F. Cugini, P. Castoldi, “Impact of slice-ability on dynamic restoration in GMPLS-based Flexible Optical Networks” Optical Fiber Communications Conference (OFC), March 2014
16
Slice-ability on different SBVT architectures
• Sliceable BVT architecture can be implemented either with 1. Array of N tunable lasers 2. A single tunable multi-wavelength source (generated from 1 laser)
• N lasers guarantee full and independent tunability of each sub-carrier no constraint s on RSA • Conversely, a MW source only supports contiguous frequencies RSA constraints • A MW source is expected to be to be cheaper (reducing the number of
lasers), with lower footprint and lower power consumption. • Moreover a MW source enables better frequency stability among sub-carriers less spectrum.
17
Performance evaluation: Recovery with MW
[Ref] M. Dallaglio, A. Giorgetti, N. Sambo, P. Castoldi, “Impact of SBVTs based on Multi-wavelength Source During Provisioning and Restoration in Elastic Optical Networks”, ECOC Conf, Sept. 2014
18
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1-2 2-3 3-4 4-5 1-6 6-7 7-5 1-8 6-8
7-10 5-10 8-9
9-10
Re-
optim
izat
ion
Res
tora
tion
•8 •9 •10
•2 •4
1 •6 5 •7
•3
•a)
•8 •9 •10
•2 •4
1 •6 5 •7
•3
•b)
•8 •9 •10
•2 •4
1 •6 5 •7
•3
•c)
4 slices
4 slices
4 slices
8 slices
2 slices
4 slices
8 slices
•Frequency slice
•Opt
ical
Lin
k
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1-2 2-3 3-4 4-5 1-6 6-7 7-5 1-8 6-8
7-10 5-10 8-9
9-10
•Frequency slice 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
1-2 2-3 3-4 4-5 1-6 6-7 7-5 1-8 6-8
7-10 5-10 8-9
9-10
•Frequency slice
P1
P2
P2
P3
P4
P5
P5
P1
P3 P2a
P4
P5
P5
P1
P2
P3
P4
P5
P5
P2b
P2b
P2b
P2
P1
P2
P1 P1
P2 P2b
P2a
After failure repair optimization
20
Implementation (1/2)
• ABNO-driven re-optimization • Involves both front-end PCE and Back-end PCE
[Ref] L. Velasco, F. Paolucci, Ll. Gifre, A. Aguado, F. Cugini, P. Castoldi, V. Lopez,,
“First experimental demonstration of ABNO-driven in-operation flexgrid network re-optimization”, OFC Conf, March. 2014, post-deadline paper
Telefonica CNIT UPC
21
Implementation (2/2)
Back-end PCE
TED LSP-DB
Active Solver PCEP
Server PCEP
PCEP Server
Active Stateful PCE
Provisioning
TED LSP-DB
Telefónica Premises (Madrid, Spain) UPC Premises
(Barcelona, Spain) ABNO
Controller
PCEP
CNIT Premises (Pisa, Italy)
GCO
Controller Controller
PCC
Conn. Controller
Res. Mngr.
Controller RSVP-TE
172.16.104.2
172.16.101.3
172.16.50.2
10.0.0.49
PCEP 10.0.0.8
10.0.0.1
n = 1 m = 1
2
[Ref]. L. Gifre, F. Paolucci, L. Velasco, A. Aguado, F. Cugini, P. Castoldi, V. Lopez, “First Experimental Assessment of ABNO-driven In-Operation Flexgrid Network Re-Optimization” Journal of Lightwave Technology (JLT), 2014.
23
SDN-based Implementation
[Ref]. F. Paolucci, A. Castro, F. Cugini, L. Velasco, P. Castoldi “Multipath restoration and bitrate squeezing in SDN-based elastic optical networks [Invited]” Journal of Photonic Network Communications (PNET), Aug. 2014
24
Multi-domain networks
DataCenter 1
Optical Transport Network
DataCenter 2
Multi-domain planning tool
ABNO
In-operation Planning Tool
SDN Controller SDN Controller
Optical Transport Network
SDN Controller
In-operation Planning Tool
Broker
Abstract Links
Inter-domain Links
25
Example
Domain 1
Domain 2 (ABNO) src
tgt
Domain 4
Candidate Path
1, 6
1, 5, 6
3, 6
free slices: 1, 3, 4, 6
1, 2,6 1, 5, 6
1, 3, 6
26
Experimental Set-up
147.83.30.189
UC Davis Premises (Davis, California)
OF-Controller D2
Broker 169.237.74.168
USTC Premises (Hefei, China)
222.195.92.10
OpenFlow
Controller D1
169.237.74.223
OpenFlow
UPC Premises (Barcelona, Spain)
Controller
HTTP REST Server
Topology DB Algorithm
PLATON OpenFlow
OpenFlow HTTP/XML
•1 •6
•8
•9
•3
•1
•2
•4
•8 •9
•6
•7
•5
•10
[Ref] Ll. Gifre et al, "Experimental Assessment of Broker and Planning Tool Coordination in Multi-domain Environments,“ submitted to OFC, 2015.
27
[1]. L. Velasco, F. Paolucci, Ll. Gifre, A. Aguado, F. Cugini, P. Castoldi, V. Lopez, “First experimental demonstration of ABNO-driven in-operation flexgrid network re-optimization” OFC Conf., March 2014, Post-deadline Paper [2]. M. Dallaglio, A. Giorgetti, N. Sambo, F. Cugini, P. Castoldi, “Impact of slice-ability on dynamic restoration in GMPLS-based Flexible Optical Networks” OFC Conf., March 2014, Top Scored Paper [3]. Ll. Gifre, A. Castro, M. Ruiz, N. Navarro, L. Velasco, “An in-operation planning tool architecture for flexgrid network re-optimization” ICTON Conf., July 2014 [4]. M. Dallaglio, A. Giorgetti, N. Sambo, P. Castoldi, “Impact of SBVTs based on Multi-wavelength Source During Provisioning and Restoration in Elastic Optical Networks” ECOC Conf., Sept. 2014 [5]. F. Paolucci, A. Castro, F. Cugini, L. Velasco, P. Castoldi “Multipath restoration and bitrate squeezing in SDN-based elastic optical networks [Invited]” Journal of Photonic Network Communications (PNET), August 2014 [6]. L. Gifre, F. Paolucci, L. Velasco, A. Aguado, F. Cugini, P. Castoldi, V. Lopez, “First Experimental Assessment of ABNO-driven In-Operation Flexgrid Network Re-Optimization” Journal of Lightwave Technology (JLT), 2014. • One additional JOCN journal under minor revisions, two papers submitted at OFC 2015
REACTION Publications
28
• Filippo Cugini <[email protected]>
• Luis Velasco <[email protected]>
• Juan Pedro Fernandez-Palacios Gimenez <[email protected]> Victor Lopez <[email protected]>
Contacts