Add report

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Oskar Thoren 2019-10-17 12:40:15 +08:00
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1 changed files with 9 additions and 8 deletions

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@ -110,14 +110,14 @@ Assumptions:
- A13. Bloom filter assuming optimal k choice (sensitive to m, n).
- A14. Bloom filter false positive proportion of full traffic, p=0.1
- A15. Benign duplicate receives factor (static): 2
- A16. Assuming no bad envelopes, bad PoW, expired, etc (static).
- A16. No bad envelopes, bad PoW, expired, etc (static).
<span style="filter: contrast(70%) brightness(190%);color:lime;">For 100 users, receiving bandwidth is 21.5MB/day</span>
<span style="filter: contrast(70%) brightness(190%);color:red;">For 10k users, receiving bandwidth is 1.9GB/day</span>
<span style="filter: contrast(70%) brightness(190%);color:red;">For 1m users, receiving bandwidth is 190.9GB/day</span>
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<span style="filter: contrast(70%) brightness(190%);color:fuchsia;">Case 7. Mailserver case with better bloom filter, no online mode</span>
<span style="filter: contrast(70%) brightness(190%);color:fuchsia;">Case 7. Case 6 + Mailserver case under ideal conditions and mostly offline</span>
Assumptions:
- A1. Envelope size (static): 1024kb
@ -132,13 +132,14 @@ Assumptions:
- A13. Bloom filter assuming optimal k choice (sensitive to m, n).
- A14. Bloom filter false positive proportion of full traffic, p=0.1
- A15. Benign duplicate receives factor (static): 2
- A17. Assuming no bad request or duplicate messages for mailservers (static).
- A18. Assuming node can change false positive rate reliably for mailservers to p=0.01
- A19. Assuming no online traffic, only offline fetching for mailservers (static).
- A16. No bad envelopes, bad PoW, expired, etc (static).
- A17. User is offline p% of the time (static) p=0.9
- A18. No bad request, duplicate messages for mailservers, and overlap/retires are perfect (static).
- A19. Mailserver only fetches topic interested in.
<span style="filter: contrast(70%) brightness(190%);color:#3333FF;">For 100 users, receiving bandwidth is 2.0MB/day</span>
<span style="filter: contrast(70%) brightness(190%);color:red;">For 10k users, receiving bandwidth is 99.1MB/day</span>
<span style="filter: contrast(70%) brightness(190%);color:red;">For 1m users, receiving bandwidth is 9.6GB/day</span>
<span style="filter: contrast(70%) brightness(190%);color:#3333FF;">For 100 users, receiving bandwidth is 3.0MB/day</span>
<span style="filter: contrast(70%) brightness(190%);color:red;">For 10k users, receiving bandwidth is 196.9MB/day</span>
<span style="filter: contrast(70%) brightness(190%);color:red;">For 1m users, receiving bandwidth is 19.2GB/day</span>
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<span style="filter: contrast(70%) brightness(190%);color:fuchsia;">Case 8. Waka mode - no metadata protection with bloom filter and one node connected; still static shard</span>