1. Virtual Edge-Based Smart Community Network Management
Group 3
Shansong Huang
Tianyu Ma
Juncheng Tao
Du Chen 1

2. Outline Introduction WOBAN&CO-WOBAN
Virtualized wireline & wireless access network
Routing in a smart community
Service Provisioning
Examples
Conclusion
(25 Slides) 2

3. Introduction
Aim: design a network that can support multiple users with multi-access as well as multi-service Proposed solution: enable virtual network function running on smart edge to re-architect central office and offer various service Enhancement: higher network operational efficiency, save aggregated computing resource through more flexible traffic routing 3

4. Part 2: WOBAN & CO-WOBAN 4

5. Gig.U
Create hub at the center of region development based on univerisity community.
Multi-layer wire and wireless infrastructures connected to various institutions.
Optimization of resources is a challenge to avoid high cost and environment damage. 5

6. Wireless-optical broadband access network (WOBAN)
Physical infrastructure solution
Hybrid architecture --- wireless network in the front end/passive optical network in the backend
High capacity, untethered connectivity and mobility
BUT
Need tenant isolation mechanisms for optical and wireless parts
Need avoid local bottlenecks
Need support multiple traffic- privilege classes
Central office --- CO
Passive optical network --- PON
Optical line terminal --- OLT
Optical network units --- ONU
Wireless mesh network --- WMN 6

7. CO-WOBAN CO refers to central office Virtualization of the CO
Smart edge in the central office re-architected as a data center(integration of white box network gears and computing resources)
SDN controller
QoS Provisioning
Energy efficiency
Complexity of the resource allocation problem 7

8. Part 3: Virtualized Wireline & Wireless Access Network in a Smart Community8

9. Advantages of virtualized structure:
Traditional Passive Optical Network (PON) low-cost, simple Passive = unpowered splitter & signal processing
Virtualized PON with smart edge integration
out-of-band managed by a SDN controller
through a virtual switch
Advantages of virtualized structure:
Save hardware cost for new services – can be done centrally at the smart edge level
New components for creating new services will be linked by SDN flows – easier to upgrade
Resources are aggregated to fulfill tasks that can’t be done by a single hardware resource –optimize capacity for processing distributed tasks 9

10. Virtualize wireless AP for software-defined deployment
Management protocol included
Openflow agent: separate data and
control planes, provide hooks for NMS
in SDN controller
PHY agent: configure wireless interface parameters, frequency, transmission power, operation mode, etc.
Virtual part
Physical part 10

11. Virtual AP running on the smart edge
security and privacy rules frequently changed, makes configuration tasks costly
×provide security and privacy at the physical home gateway level ！centralize virtualized network function components at the smart edge
Access point logic component: basic functions of the AP, e.g. routing
Home automation logic component: processes communications and manages different smart objects in a home network
Firewall: security and privacy. Define security rules and push them to the data plane in the hardware device. 11

12. Part 4:Routing in a smart community12

13. Routing in a smart community
Optimal routing scheme achieved via SDN
Peak traffic design may lead to overprovisioning, hence we allow low-power state during idle period(10W->1W) 13

14. Optimization minimise this function
total bandwidth requirement links going to a switch port < capacity of the port
total bandwidth requirement links going to AP < capacity of AP
Optimization can be achieved by mathematical solver or heuristic algorithm 14

15. Part 5: Service Provisioning15

16. Telco Cloud Service Provisioning in a Smart Community
Centralized telco service provisioning
Distributed telco service provisioning with smart edge control
Out-of-band NM, functions as a “console” 16

17. Joint optimization
memory capacity of virtual machine k
procesing resource requirements of virtual machine k
available memory capacity of the server t in the smart edge
available process resource of the server t in the smart edge
W=1 if the virtual machine k is hosted by the server t for a demand from the optical port i
Optimized solution can be obtained via greedy or genetic algorithm, or tabu search
function to calculate energy consumption of the virtual machine k based on its memory and processing resource requirements 17

18. Part 6: Example 18

19. There is a testbed
The Superior Technology School, University of Quebec, Canada, and is joining with Gig.U.
Currently, the testbed provides ultra-broadband service to 150 residential units (student apartments and single family houses). 19

20. Three components: 20 A white box core switching platform:
provides optical multiservice to link the Smart Residence to Internet providers/international partners. This switching platform is integrated into the smart edge, and programmable to provide SDN functions, such as dynamic routing and traffic filtering.
An optical access platform:
consists of virtual home gateways and optical aggregation switches linking smart home and WiFi APs to the core switch.
A set of telco-grade blade servers:
provides various telco services as well as monitoring, power management, and emergency alerting. Based on the monitoring services, a database containing user, power, and resource data is built and Big Data analytical services are developed to extract information from data, and then to optimize resource and service provisioning.
Figure: The Smart Residence testbed (MiFi stands for mobile WiFi) 20

21. Difference between the traditional and proposed approach
In the traditional approach, each smart home has an active optical connection directly linked to the remote datacenter through which smart control service is provided. This connection is always active regardless of user traffic conditions. All WiFi APs are also activated.
In the proposed approach, routes are established dynamically to afford service requirement, and unused ports and APs are set to idle state with minimal power consumption.
Approach
Traditional
Proposed
Connection to the DC
Always activated
Dynamic
AP status 21

22. Result
Figure: Comparison of network function virtualization (NFV) smart edge technology, traditional provisioning model, and some other NFV models 22

23. Conclusion Reduce workload by changing architecture:
from centralization to distribution
SDN (software-defined network) management
BUT......not very convincing 23

24. References
1. P. Chowdhury et al., “Building a Green Wireless-Optical Broadband Access Network (WOBAN),” J. Lightwave Technology, vol. 28, no. 16, 2010, pp
2. D. Peter et al., “Openflow for Wireless Mesh Networks,”Proc. Int’l Conf. Computer Comm. and Networks, 2011, doi: /ICCCN
3. C.J. Bernardos et al. “An Architecture for Software Defined Wireless Networking,” IEEE Wireless Comm., vol. 21, no. 3, 2014, pp 24

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