Probabilty in a torrent (advanced probability)

In summary, the conversation discusses the randomness of file downloading in torrents and the possibility of predicting the download times based on various factors. The problem of predicting the difference between the most and least downloaded files is also mentioned. The conversation ends with a clarification that the randomness of file downloading may not be completely random due to external factors.
  • #1
Goking
3
0
As i watched the torrent i noticed that the files are downloaded completely at random. That is to say if you have 10 files, each 200mb, by the time the torrent is downloaded 10 % you can have 1 full file, or 80 % of one, 20 % of another , 10 % of all and so on. If you played a game, which is you bet on % of the total downloading of a torrent, and you win if the difference in mb between the most downloaded file and the least is greater than other person's > what percentage should you bet. Then you play the same game, but this time the goal is the sum of the first 3 files to be exactly 85 % greater than the sum of the last two. Also you examine the possibility of being an interval of numbers, when the chance is greatest, or the problem may not be leginamite at all and in this case, please tell why.
 
Mathematics news on Phys.org
  • #2
Goking said:
A the files are downloaded completely at random..

In some contexts, saying something happens "at random" has an obvious mathematical interpretation. However, in very many contexts the statement that something happens "at random" is ambiguous. What specific random process do you have in mind for modelling how files are downloaded?

(If you can state the process, then perhaps you can write a computer simulation to answer your question.)
 
  • #3
It's like preflop poker play.
 
  • #4
Stephen Tashi said:
In some contexts, saying something happens "at random" has an obvious mathematical interpretation. However, in very many contexts the statement that something happens "at random" is ambiguous. What specific random process do you have in mind for modelling how files are downloaded?

(If you can state the process, then perhaps you can write a computer simulation to answer your question.)

This is the same random used in all probability e.g random like the movement of the particles of the atom, so you can't possibly know(although i know is unachievable in a normal computer).
 
  • #5
Goking said:
This is the same random used in all probability e.g random like the movement of the particles of the atom, so you can't possibly know(although i know is unachievable in a normal computer).

There is no unique meaning for "random" that is used in all probability problems. If you want a specific mathematical answer, you'll have to ask a specific question. (I'm not saying it's easy to ask a specific mathematical question. To do so, requires learning various mathematical definitions.)
 
  • #6
You have x amount of water, poured % by % in two vessels at random. At which point is most likely the difference between the two vessels to be greatest(20%, 50% etc.). (For a problem to be wrong, it has to be inadequately explained or contradictory in nature, not which language is used.) Please tell me if you understood the problem, how it should be given?
 
  • #7
How are torrents remotely close to 'completely random'. You can nearly predict the download times based on peer level, protocol, and traffic. The problem is you don't know these factors for each download so it appears 'completely random' to you. If you control for these external factors, i would bet that you should expect download times to end approximately around the same time.
 

Related to Probabilty in a torrent (advanced probability)

1. What is probability in a torrent?

Probability in a torrent refers to the likelihood or chance of a specific event occurring in a torrential flow of data or information. It is a measure of how likely it is for a particular outcome to happen in a given set of circumstances.

2. How is probability calculated in a torrent?

Probability in a torrent can be calculated by dividing the number of desired outcomes by the total number of possible outcomes. This can be represented as a fraction, decimal, or percentage.

3. What is the difference between probability and conditional probability in a torrent?

Probability in a torrent is the overall likelihood of an event occurring, whereas conditional probability takes into account additional information or conditions that may affect the probability of that event. It is the probability of an event happening given that another event has already occurred.

4. How does probability in a torrent apply to data analysis?

In data analysis, probability in a torrent can be used to make predictions and draw conclusions about a large set of data. It can help determine the likelihood of certain trends or patterns occurring in the data and can assist in making informed decisions based on that analysis.

5. What are some real-world applications of advanced probability in a torrent?

Advanced probability in a torrent has various applications in fields such as finance, weather forecasting, and risk assessment. It is used to model and predict complex systems, analyze large datasets, and make informed decisions in uncertain situations.

Similar threads

Replies
11
Views
2K
Replies
9
Views
3K
  • General Math
3
Replies
71
Views
8K
Replies
3
Views
2K
  • Engineering and Comp Sci Homework Help
Replies
11
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
903
  • Set Theory, Logic, Probability, Statistics
Replies
8
Views
2K
  • Set Theory, Logic, Probability, Statistics
Replies
7
Views
1K
  • Set Theory, Logic, Probability, Statistics
Replies
1
Views
1K
Back
Top