Efficient constructions of streaming codes

By: Contributor(s): Material type: TextTextLanguage: en Publication details: Bangalore : IISc , 2022 :Description: xvi, 206p. col. ill. ; 29.1 cm * 20.5 cm e-Thesis 2.325MbSubject(s): DDC classification:
  • 600 VIN
Online resources: Dissertation note: PhD; 2022; Electrical communication engineering Summary: Streaming codes are a class of erasure codes that operate on a stream of packets and enable recovery of dropped or erased packets under a decoding-delay constraint. The primary focus of this thesis is on providing constructions and performance bounds for streaming codes in some settings of practical interest. A secondary focus of this thesis is on coded distributed computation. In the streaming code literature, a sliding window (SW) channel model is often adopted, under which, within any SW of fixed time duration, the channel is permitted to introduce either a single erasure burst or, else, a set of arbitrary erasures. Erasure patterns conforming to this constraint are termed admissible erasure patterns. A streaming code operating on this channel is required to recover from all admissible erasure patterns and, furthermore, do so under a decoding delay constraint.
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PhD; 2022; Electrical communication engineering

Streaming codes are a class of erasure codes that operate on a stream of packets and enable recovery of dropped or erased packets under a decoding-delay constraint. The primary focus of this thesis is on providing constructions and performance bounds for streaming codes in some settings of practical interest. A secondary focus of this thesis is on coded distributed computation. In the streaming code literature, a sliding window (SW) channel model is often adopted, under which, within any SW of fixed time duration, the channel is permitted to introduce either a single erasure burst or, else, a set of arbitrary erasures. Erasure patterns conforming to this constraint are termed admissible erasure patterns. A streaming code operating on this channel is required to recover from all admissible erasure patterns and, furthermore, do so under a decoding delay constraint.

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