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MATHEMATICAL EQUATIONS THAT CAN IMPROVE NETWORK SPEEDS
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K S KIRANCS13B1018
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KEY WORDS RELATED Network coding(random linear)
KODO
Mathematical equations
Meshed networks
On the fly approach2
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LIST OF READINGSResearch papers on:
Dynamic adaptive streaming: A dynamic adaptive protocol FRANC is
tested on various TCP versions and proved to be faster than
existing protocol HTTP DASH.
Sub-transport layer coding: Uses a coding shin that aids IP
layer traffic in lossy environments while being transparent to
transport layer protocols.
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LIST OF READINGS Reed Solomon Protocol: Based on univariate
polynomials over finite fields, it is an error correction
code.
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ABOUT
A stateless transmission approach that avoids retransmission and
error correction using on the fly encoding and decoding.
Using codes containing mathematical equations of packets to
achieve higher network speeds.
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ABOUT
The technique processes data packets in chunks thus allowing
users to receive them in any order.
It is especially useful in multi-media content transmission and
establishing secure connections.
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GOAL
Linear network coding is optimised except for Gauss-Jordan
elimination and linear dependency among coefficient vectors.
Working on a better coding of packets.
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MAKING PROGRESS
Getting familiarised with KODO, a RLNC library.
Testing existing algorithms and working on new ones.
Getting familiarised with mini net.
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FURTHER READINGSSDN using open flow (PPT circulate in IITH).
Computer networking a topdown approach by Keith & Ross.
SSL and its Commands.
Different RLNC Methods and their advantages in different
situations.
Eg: Seed based, Perpetual, Fulcrum11
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IMPLEMENTATION DETAILS
Worked on some sample codes on RLNC.
Specific to encoding : A randomly generated matrix is multiplied
to packet matrix.
decoding : Inversion is made through Gauss - Jordan elimination
and
re-encoding.
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INTERESTING APPLICATIONSUsing multicast to achieve
synchronisation.
Local sharing of pictures from one sender to many receivers.
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PAPER EXCLUSIVE
Just have been reading a few similar papers to get the idea of
viewing an existing concept in a different perspective.
One such is improvement of Gauss Jordan elimination used in
coding/decoding of packets.
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MISCELLANEOUS
For the sake of implementation a concept called parametrized
inheritance(Mixin - Layers) in C++ is necessary and reading through
it.
Started reading the documentation of KODO.
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THANK YOU
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