Abstract
We address highly dynamic distributed systems
modeled by time-varying graphs (TVGs). We are interested in
proof of impossibility results that often use informal arguments
about convergence. First, we provide a topological distance metric
over sets of TVGs to correctly define the convergence of TVG
sequences in such sets. Next, we provide a general framework that
formally proves the convergence of the sequence of executions
of any deterministic algorithm over TVGs of any convergent
sequence of TVGs. Finally, we illustrate the relevance of the
above result by proving that no deterministic algorithm exists to
compute the underlying graph of any connected-over-time TVG,
i.e., any TVG of the weakest class of long-lived TVGs.
modeled by time-varying graphs (TVGs). We are interested in
proof of impossibility results that often use informal arguments
about convergence. First, we provide a topological distance metric
over sets of TVGs to correctly define the convergence of TVG
sequences in such sets. Next, we provide a general framework that
formally proves the convergence of the sequence of executions
of any deterministic algorithm over TVGs of any convergent
sequence of TVGs. Finally, we illustrate the relevance of the
above result by proving that no deterministic algorithm exists to
compute the underlying graph of any connected-over-time TVG,
i.e., any TVG of the weakest class of long-lived TVGs.
Original language | English |
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Title of host publication | IEEE International Symposium on Parallel & Distributed Processing, Workshops |
Publisher | IEEE Conference Publishing |
Pages | 0-0 |
Publication status | Published - 2015 |
Event | IEEE International Parallel & Distributed Processing Symposium - Hyderabad, India Duration: 25 May 2015 → 25 May 2015 |
Conference
Conference | IEEE International Parallel & Distributed Processing Symposium |
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Country/Territory | India |
City | Hyderabad |
Period | 25/05/15 → 25/05/15 |
Fields of Expertise
- Information, Communication & Computing
Treatment code (Nähere Zuordnung)
- Theoretical