English
 
Help Privacy Policy Disclaimer
  Advanced SearchBrowse

Item

ITEM ACTIONSEXPORT

Released

Paper

Priority Downward Closures

MPS-Authors
/persons/resource/persons289249

Anand,  Ashwani
Group R. Majumdar, Max Planck Institute for Software Systems, Max Planck Society;

/persons/resource/persons230970

Zetzsche,  Georg
Group G. Zetzsche, Max Planck Institute for Software Systems, Max Planck Society;

External Resource
No external resources are shared
Fulltext (restricted access)
There are currently no full texts shared for your IP range.
Fulltext (public)

arXiv:2307.07460.pdf
(Preprint), 794KB

Supplementary Material (public)
There is no public supplementary material available
Citation

Anand, A., & Zetzsche, G. (2023). Priority Downward Closures. doi:10.48550/arXiv.2307.07460.


Cite as: https://hdl.handle.net/21.11116/0000-000D-97AC-7
Abstract
When a system sends messages through a lossy channel, then the language
encoding all sequences of messages can be abstracted by its downward closure,
i.e. the set of all (not necessarily contiguous) subwords. This is useful
because even if the system has infinitely many states, its downward closure is
a regular language. However, if the channel has congestion control based on
priorities assigned to the messages, then we need a finer abstraction: The
downward closure with respect to the priority embedding. As for subword-based
downward closures, one can also show that these priority downward closures are
always regular.
While computing finite automata for the subword-based downward closure is
well understood, nothing is known in the case of priorities. We initiate the
study of this problem and provide algorithms to compute priority downward
closures for regular languages, one-counter languages, and context-free
languages.