CCDE Study Group October 2019
Date: June 8, 2019. Rev 0.
You are a Network engineer at Flycopter Highway Security Services (FHSS). You have been recently hired to provide consultancy about network design and help to integrate and consolidate services over the existing network
FHSS is the main government contractor to provide command and control of signals, barriers and other traffic flow related mechanisms to keep the road traffic as smooth as possible. The network is in the center of the business core, as it’s an enabler to provide their services.
There is an AI system in place that processes information about IoT devices in real time and give the operator in charge of each area information about the “most optimal” decision they should take. The AI system is not taking autonomous decisions at this time.
The POPs are detailed in the picture and are:
- Los Angeles
- Napa Valley
- Death Valley
- Grand Canyon
Those POP are located in offices with 10 to 50 employees per site.
The network supervision system is located in LA(1), with a DA/DR site located at Sonoran(8). The backup site is designed to be able to recover the services provided by the main site in a reasonable amount of time.
The numbers in the picture indicate the number of helicopters in service in each geographical area, and the rounded points, the POPs. There is enough space to deploy more fibers if that is needed in the future, but due to geographical reasons, joining any two locations not interconnected by roads is not possible at this time. If that kind of interconnection is needed in the future, then we should analyze other alternatives, like VSAT, WiMax,... or any other technology based in wireless transport.
The FHSS has POPs in 8 locations, with devices interconnected as shown in the picture. Those POPs provide transport between offices, providing data, conferencing and some DA/DR services.
In the following picture, you can check how the POPs are interconnected. At this time we don’t have plenty of BW between our core routers because there is a project pending for upgrading some equipment.
The fiber links between locations follow the shortest paths based on a lowest possible CAPEX criteria.
We don’t expect in the short time using carrier services from external providers, but it’s a scenario that may be possible in the mid term. This is because the ROI of installing new fibers by ourselves to interconnect the routers in the core in full mesh exceeds a reasonable amount of time.
Nowadays, the network design is very simple and we expect to keep the complexity as low as possible to be able to maintain the availability high.
Surveillance Project Info
Your new project is about analyzing and validating a new service that eventually will allow the operators to have more information about the state of the roads and validate the decisions the AI system is taking in real time.
This new service is about providing video feeds from the helicopters in real time to every POP.
For this project we’ve signed a partnership with a mobile SP to handle for us the transmission from the flying machines to our main site in LA. They handle the concentration and selection tasks and select the video feed with better QoE, discarding the signal with worst BER.
At this time, at full capacity, we receive a total of 9 live feeds, each one with a BW of 8 Mbps. If this project goes well, we’ll duplicate the number of feeds soon, because we’re selecting only one of the multiple digital onboard camera signals.
In the image provided by the SP who is partnering with us, (6) represents our IP network (MPLS enabled). (2) and (4) represents two of our POPs. (3) is the supervision system located in our main DC. We finally agreed with them that the video feed (1) should be delivered at the main DC located in LA.
- Install new capacity to be able to transport the feeds
- Improve the availability of the network
- Increase the cash flow of the company
- Improve customer service reliability
- Get a better serviceability
Do you think the AI system could improve in any way if the operators have live video feeds information? (Select 1)
If you answered Yes to the previous question, how would that could happen? (Select 1)
- Changing the roles and letting the AI system take decisions by itself
- Learning from the decisions the operator takes
- Introducing video analysis and feeding the AI algorithm with new variables
- Using data from any public source about traffic and meteorological conditions
Re: 2_Delivering data to the remote locations
Ok, in case you selected Yes, what information do you need? (Choose all that apply)
- The addressing scheme of the network
- The POP architecture
- Traffic flows
- Available BW between locations
- The skills of the network management employees
The available bandwidth between locations in the core is not upgraded yet, so, we have 100Mbps between core devices. In the future these connections will be upgraded to 100Gbps, but the project can’t wait for that side project. Our staff is well trained in IP and MPLS, as we use segmentation in the core to enforce isolation between HR department, marketing and operations.
What mechanism you think would be the most appropriate in our case?
- Overlay protocol (Select 1)
- Core tree signaling (Select 1)
- P2MP TE
Select the PINs where to apply each protocol: (Simulation)
With the selected design, select the features that suit your previous selection: (Drag and drop)
|Feature/capability||Do NOT apply/suit||Apply|
|P2MP, MP2MP trees|
|Setup driven by head-end|
|Supports In-band signaling|
Could you tell us what important features may we have lost implementing the proposed solution? (Select 2):
- Resource reservation
- Traffic splitting over unequal paths
- Auto Discovery with BGP in the control plane
Is there any alternative solution to reach a compromise solution between MLDP and RSVP-TE P2MP tunnels:
- Yes, it is
In case you selected yes in the previous question, which one?
(This time... Free space for answering)