Arch-WG Dec 2nd Guest Speaker Dr. Kuperberg - DLT Network Partitioning


Ram Jagadeesan (rjagadee)
 


Folks,

Here is a link to the audio recording of the last meeting featuring the presentation by Michael Kuperberg on DLT Deletion.


  • The upcoming meeting on Wed 12/2/20 9 AM PST will feature Michael presenting on the second topic of network partitioning.

  • Regards,

    Ram

    Dr. Michael Kuperberg, Chief Blockchain Architect at DB Systel (Deutsche Bahn), will be our guest speaker on Wed Nov 18th 9 AM PST Architecture WG meeting.

     
    Meeting ID: 403 498 3298
    Passcode: 475869

    Deletion is interesting, especially for GDPR and other privacy regulatory compliance. Network partitioning tolerance is a core requirement for correctness of DLTs.

    Please see the abstract and attached papers on the two topics from Michael.

    Please forward to anyone else in the community who may be interested.
    1. Partitioning:
      1. Abstract

        Both permissioned and unpermissioned blockchains are designed to tolerate and to overcome the failure of individual nodes, which need to update themselves once they reconnect to the blockchain network. At the same time, it is important to avoid accidental network partitioning, since partitioning can lead to inconsistent “multiple truths” and violate the shared consensus about the global state, which must be maintained across all active and re-emerging nodes. Given the differences in design and implementation across ledgers and blockchains, a systematic analytic approach must be established before partitioning prevention in specific products is studied. Therefore, we perform a foundational analysis of enterprise-grade consensus protocols, including design recommendations for partitioning avoidance for Proof-of-Authority in Hyperledger Fabric. 

      2. PDF: I attached the underlying paper ("Towards An Analysis of Network Partitioning Prevention for Distributed Ledgers and Blockchains")
        1. the publisher's URL is https://ieeexplore.ieee.org/document/9126030/ 
    Regards,

    Ram

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