what this?

Service Level objective

sla = service level agreement

what is this

each mimic is independent of each other

what is this? time from when the first packet of a flow is sent (in TCP, this is the SYN packet) until the last packet is received.

https://mattjhayes.com/2018/09/26/what-is-a-network-traffic-flow/

which are? scheduling discipline, throughput, bitrate, drop discipline, number of ports?

Uniform Traffic: each source generates traffic at a constant rate

Bursty Traffic: Traffic pattern where data transmitted in bursts of short intervals of high activity, followed by periods of low or no activity

Periodic Traffic: regular traffic appearing at fixed intervals (synchronized data transfer, scheduled updates)

Interactive Traffic: Interactive traffic involves real-time communication and interaction between network users or applications. Examples include VoIP (Voice over Internet Protocol) calls, video conferencing, online gaming, or instant messaging. Interactive traffic requires low latency and often involves small, frequent data packets.

On-Off Traffic: On-Off traffic exhibits a pattern where the traffic alternates between active and idle periods. It can be observed in applications or protocols that generate traffic intermittently, such as file transfers or remote desktop sessions.

So all network devices are made up of ports?

Router: connect multiple networks, such as LANs (Local Area Networks) or WANs (Wide Area Networks). They forward data packets between networks based on IP addresses and make intelligent routing decisions based on routing protocols.

Switch: Connect multiple devices within a LAN. They receive incoming data packets and forward them to the appropriate destination device based on MAC (Media Access Control) addresses. Switches provide efficient and dedicated communication paths between devices, allowing for simultaneous data transmission.

What is the difference between device level. and why are there multiple ports in a switch

can you have a n input port and m output port? how would you choose n and m?

Is it useful to learn these? since we are black boxing it

strict priority? or only a percentage of weight

why? because it is the most common number of bytes for a packet?

what about on off model?

That is all? this is enough?

having more engines increases inference speed?

This model is reused for every single port?

does each port have a meaning? priority?

This thing routes the input port to the output port? Since we are only modeling delay from port, is there no delay coming from the switch fabric? doesn't it need time to compute which port the packet needs to go to?

Here's how the number of heads affects the transformer architecture:

Increased Capacity: Adding more attention heads increases the model's capacity to capture diverse patterns and dependencies in the input data. Each head attends to different aspects of the input sequence, allowing the model to attend to multiple positions simultaneously.

Enhanced Representation: With more heads, the model can learn more fine-grained representations. Each head specializes in attending to different parts of the sequence, enabling the model to capture both local and global dependencies more effectively.

Parallelization: The self-attention mechanism can be computed in parallel for different heads, which speeds up training and inference. As a result, increasing the number of heads can lead to improved computational efficiency.

what is this? randomly "dropping out" or deactivating individual units (neurons) in a neural network during training. Dropout is a regularization technique that helps prevent overfitting and improves the generalization of the model.

What does this algorithm do? reorder all the packets in all switches?

since we are doing inference, does that mean that this is the inference algorithm? or is it's only purpose to reorder packets in each switch?

Only needs data for each port configuration?

Is this because the egress packets of switch s is the ingress packets of switch s+1?

why is this so?

hop count = number of routers/devices packet passes thorugh

why? Is the point of the algorithms to segment the packets to the right batches, and/or sort them into the right order?

how do you reorder them? is it random? based on timestamp? The next paragraph seems to support

output is packets with delays. also where are the packets being routed to different ports like in dqn? (PFM tensor mult.)

what is the policy? time window? number of packets?

before and after delays are predicted for each packet, their order stays unchanged?

timestamp of what? when it enters the port? when it leaves the last port?

until what converges? packet delay? packet loss?

how is this different then irsa from dqn?

within

how does misbatching affect drop rates? HOw are drop rates even calculated and related to packets? the more packets the higher the drop rate? the larger the packets the higher the drop rate?

this implies that there is an optimal/correct batching? How do you know when to split batches? by a constant time window?

which is? a stream of packets from destination to source?

which is? Source and destination? the routing tables for each switch?

can you instead feed real traffic?

how do you input this into the program

this was a problem for deepqueuenet

so deepqueuenet was not able to generalize to number of ports? rather it had to retrain each device with a new number of ports?

how is this measured? How is 'overall assessment' measured? packet loss rate?

so each flow maps to one unique port model?

does each queue represent a different flow?

how many different port models do you need to train?

I think this answers my last annotation?

what are port configurations? speed? bandwidth? drop discipline?

randomly?

examples?

speed & bandwidth duplex mode media type

not general enough

processing packets in batches doesn't feel right, doesn't capture the entire picture

but queues do affect each other, as adding a queue means the other queues have less time for processing

hard to model simply?

exponentially higher weightage on more recent values of queue length

number of packets in queue

how next packet inserted into queue (think binary insertion)

Always busy (not idling) using all availble resources

Decides how each queue is processed ( which queue to process next)

traffic cop

Now, switch fabric is like the system of tracks and switches that enable trains to move from one track to another efficiently. It ensures that trains can travel smoothly and quickly, without any collisions or delays.

restaurant and person at fron taking long time to decide.

Head of line blocking happens when a particular packet or set of packets gets delayed for some reason, like congestion or errors. These delayed packets act as a "blockage" for the subsequent packets that are waiting to be processed. Just like in the restaurant example, the packets behind the delayed ones have to wait until the delay is resolved and the blocked packets are processed.

whats the difference between all of these

Not all packets are sent. might be dropped when too full to ensure no congestion

think about airport or border crossing (nexus)

anything else?

so you're saying that only training the ports is faster since the number of ports needed to train is far less than the number of devices needed to train?

You need proportional amount of data proportional to the number of traffic patterns

there could be infinitely many number of configurations so it is not economic to create a dnn for every possible config?

This reminds me of that youtube video at the end when the MC was asking pancy about what if they changed the code in the switch.

https://www.youtube.com/watch?v=qQW6Wwq67ko&t=751s&ab_channel=ACMSIGCOMM

Only these 5? there aren't any other more important? How would I know though, I'm not really an expert

what is this? poisson proccess, map?