English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Tools annual

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools monthly

Global: Zendy Plus monthly

Presents the access of premium content as premium feature

Premium Content

Global: Zendy Plus annual

Global: Zendy Free Plan

Distributed systems are now both very large and highly dynamic. Peer to peeroverlay networks have been proved efficient to cope with this new deal thattraditional approaches can no longer accommodate. While the challenge oforganizing peers in an overlay network has generated a lot of interest leadingto a large number of solutions, maintaining critical data in such a networkremains an open issue. In this paper, we are interested in defining the portionof nodes and frequency one has to probe, given the churn observed in thesystem, in order to achieve a given probability of maintaining the persistenceof some critical data. More specifically, we provide a clear result relatingthe size and the frequency of the probing set along with its proof as well asan analysis of the way of leveraging such an information in a large scaledynamic distributed system.

Core Persistence in Peer-to-Peer Systems: Relating Size to Lifetime