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

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

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

Part 2: WOBAN & CO-WOBAN 4

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

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

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

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

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

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

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

Part 4:Routing in a smart community 12

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

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

Part 5: Service Provisioning 15

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

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

Part 6: Example 18

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

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

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

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

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

References 1. P. Chowdhury et al., “Building a Green Wireless-Optical Broadband Access Network (WOBAN),” J. Lightwave Technology, vol. 28, no. 16, 2010, pp. 2219-2229. 2. D. Peter et al., “Openflow for Wireless Mesh Networks,”Proc. Int’l Conf. Computer Comm. and Networks, 2011, doi: 10.1109/ICCCN.2011.6006100. 3. C.J. Bernardos et al. “An Architecture for Software Defined Wireless Networking,” IEEE Wireless Comm., vol. 21, no. 3, 2014, pp. 52-61. 24

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