What are you talking about? Overprovisioning literally means selling more transmission rate than what the upstream lines can accommodate. It is not accounted for.
I’m talking about overprovisioning, where your ISP actually provisions you for more bandwidth than you’re paying for. It is accounted for.
You’re talking over subscription.
How can it not be accurate enough when it is just a conversion from transmission rate via a formula that converts to bytes and accounts for expected protocol overheads?
Are you asking me how a flat base number derived direct from the source is more accurate than a different number that takes that first number and then adds a bunch of guesswork on top based on a bunch of unknown variables? Well that’s because in your head “expected protocol overheads” must be a simpler and more quantifiable number than it is in real life. For starters, which protocol? Downloads happen over TCP and UDP, both have completely different overhead profiles. What about the protocols above that? How are we proposing the file is being downloaded? Tor? SMB? NFS? HTTP? MLS stream? Which OS is the client? Different operating systems have different TCP window scaling logic. Different devices have different MTU sizes. The Internet service you’re buying can be used for all of them. Are we picking picking one set based on the most common use case? Averaging them all together? Weighting them based on common usage? Uhhh or we could just advertise the product based on the product the ISP is actually selling you, the transmission rate.
Your entire argument here is like being upset at McDonald’s for giving you the nutrient values of their food, like calorie counts and detailed macronutrient breakdowns, because you think instead they should just tell you how full each item will make you.
I really can’t break this down any simpler for you than I already have.
I’m talking about overprovisioning, where your ISP actually provisions you for more bandwidth than you’re paying for. It is accounted for.
You’re talking over subscription.
Are you asking me how a flat base number derived direct from the source is more accurate than a different number that takes that first number and then adds a bunch of guesswork on top based on a bunch of unknown variables? Well that’s because in your head “expected protocol overheads” must be a simpler and more quantifiable number than it is in real life. For starters, which protocol? Downloads happen over TCP and UDP, both have completely different overhead profiles. What about the protocols above that? How are we proposing the file is being downloaded? Tor? SMB? NFS? HTTP? MLS stream? Which OS is the client? Different operating systems have different TCP window scaling logic. Different devices have different MTU sizes. The Internet service you’re buying can be used for all of them. Are we picking picking one set based on the most common use case? Averaging them all together? Weighting them based on common usage? Uhhh or we could just advertise the product based on the product the ISP is actually selling you, the transmission rate.
Your entire argument here is like being upset at McDonald’s for giving you the nutrient values of their food, like calorie counts and detailed macronutrient breakdowns, because you think instead they should just tell you how full each item will make you.
I really can’t break this down any simpler for you than I already have.