"Future services challenges" par Djamal Zeghlache, lors de la journée Futur & Ruptures du 31 janvier 2019.

1. Réseaux et Services Multimédia MobilesDNAC 2014
TSP-RS2M
Futur et Ruptures
January 31st , 2019
Djamal Zeghlache
Future Services Challenges

2. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu2
Impact of emerging paradigms and enablers
■ Control and data plane Separation
Software Defined Networks
o Control out of switches, routers and network nodes
 Separation: control out of network nodes eases
management, network nodes dedicated to forwarding
 Speed and scalability, security and protection
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3. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu3
Impact of emerging paradigms and enablers
■ Software and hardware separation – NFV
o Virtualisation of network functions
 Network Functions as code in hosts, platforms,
containers, produced eventually as micro services
 Flexibility and reduced production cycles
Design principles and practices, integration complexity,
test and validation issues, security, malware,
protection
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4. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu4
Impact of emerging paradigms and enablers
■ Cloud computing
o Virtualization of servers and storage
 Everything as a Service, pay per use, no investment
 Lock in and specific APIs, dependence on hosting
environment
IaaS Storage
PaaS
SaaS

5. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu5
Impact of emerging paradigms & enablers
SDN
NFVCloud

6. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu6
Impact of emerging paradigms & enablers
From5GSystemDesignbyPatrickMarshandco.
SDN
NFVCloud

7. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu7
Missing interfaces and data models
■ Slicing concept
■ Multi domain issues (even mono-domain...)
o For multi-domain and multi-operator orchestration, information on
resource and service capabilities should be exchanged
o Define common mechanisms/standardization: same semantics and
abstractions  common information and data models and agreed
interfaces
Nokia5GNetwork|Unleashingthepotentialof5G|nokia.com

8. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu8
Impact of emerging paradigms & enablers
■ Issues and challenges
o Separation/loose coupling essential but uncoordinated decomposition
leads to interoperability, interworking and integration issues
o Everything is a service: combined, composed, orchestrated and
deployed dynamically in place and time but this generates
overwhelming complexity.
 Increasing role and use of open source
 Providers’ interfaces not so open, combining and composing from
heterogeneous sources a real challenge
 Multiple solutions available, no smooth integration, adaptation
often required, growing complexity
o Increasing sources of dynamic variations: dynamic infrastructure
configuration usage, social networks, services and functions are mobile,
dynamic placement, traffic as always, constant adaptation, dynamic
slice deployment as well…

9. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu9
Issues and possible remedies
■ Address interoperability and interworking via
semantically richer and more versatile interfaces
o Focus on services and interface properties, e.g. enrich
semantically “node type” and “data model” in orchestrators
(TOSCA) or simply push abstraction & intent based interactions
■ Introduce more intelligence in the infrastructures
o In-network AI
 Multi-agent based cooperation for reconciliation of the
multi-layer or plane views
• Faced with multiple decision points and control loops not
necessarily working cohesively or even in conflict
• Stand alone versus integrated tests and evaluation
 Reinforced learning of emerging behaviours

10. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu
+ DRL
+ DRL
10
How about in network Learning and AI ?
■ Classical data-driven approach to identify best Artificial
Neural Network configuration that fits input-output data so
the ANN provides optimum output for unobserved data
■ Complement ANN with prior information from expert
knowledge (from simplified approximate models)

11. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu11
Possible approach to address multiple time scales
and inner and outer loops in the overall architecture

12. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu12
Potential Multi Agent Systems approaches
 Explore use of cooperative multi-
agent systems for network services
■ Multi-agent system (used in
games)
o Centralised critic: stabilise learning
to coordinate agents
o Counterfactual baseline: multi-
agent assignment
o Efficient critic representation:
scales to some extent
■ Scale
o minimize interactions, control
state-space
o State explosion problem. State
space exponential with number of
actions in Reinforcement learning
systems
 Problems can be addressed using
neural networks, reinforcement
learning and AI:
■ Network traffic classification via
neural networks
■ Intelligent networking
■ Intrusion detection
■ Anomaly detection, degradations
predictions, SLO /SLA violations
■ Network monitoring and data
analytics for network services
management
 Overall cooperation & reconciliation
of agents operating at multiple
levels…

13. Futur et Ruptures – 31 janvier 2019 Future Services Challenges -djamal.zeghlache@telecom-sudparis.eu13
Thank You
Q & A