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Brief Announcement: Grassroots Distributed Systems: Concept, Examples, Implementation and Applications

Author Ehud Shapiro

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Ehud Shapiro
  • Weizmann Institute of Science, Rehovot, Israel

Acknowledgements

I thank Andy Lewis-Pye, Nimrod Talmon and Oded Naor for their comments on an earlier version of the manuscript and Idit Keidar for pointing me to related work. Ehud Shapiro is the Incumbent of The Harry Weinrebe Professorial Chair of Computer Science and Biology at the Weizmann Institute.

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Ehud Shapiro. Brief Announcement: Grassroots Distributed Systems: Concept, Examples, Implementation and Applications. In 37th International Symposium on Distributed Computing (DISC 2023). Leibniz International Proceedings in Informatics (LIPIcs), Volume 281, pp. 47:1-47:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)
https://doi.org/10.4230/LIPIcs.DISC.2023.47

Abstract

Informally, a distributed system is grassroots if it is permissionless and can have autonomous, independently-deployed instances - geographically and over time - that may interoperate voluntarily once interconnected. More formally, in a grassroots system the set of all correct behaviors of a set of agents P is strictly included in the set of the correct behaviors of P when they are embedded within a larger set of agents P' ⊃ P. Grassroots systems are potentially important as they may allow communities to conduct their social, economic, civic, and political lives in the digital realm solely using their members' networked computing devices (e.g., smartphones), free of third-party control, surveillance, manipulation, coercion, or rent seeking (e.g., by global digital platforms such as Facebook or Bitcoin). Client-server/cloud computing systems are not grassroots, and neither are systems designed to have a single global instance (Bitcoin/Ethereum with hardwired seed miners/bootnodes), and systems that rely on a single global data structure (IPFS, DHTs). An example grassroots system would be a serverless smartphone-based social network supporting multiple independently-budding communities that can merge when a member of one community becomes also a member of another. Here, we formalize the notion of grassroots distributed systems; describe a grassroots dissemination protocol for the model of asynchrony and argue its safety, liveness, and being grassroots; extend the implementation to mobile (address-changing) devices that communicate via an unreliable network (e.g. smartphones using UDP); and discuss how grassroots dissemination can realize grassroots social networking and grassroots cryptocurrencies. The mathematical construction employs distributed multiagent transition systems to define the notions of grassroots protocols, to specify the grassroots dissemination protocols, and to prove their correctness. The protocols use the blocklace - a distributed, partially-ordered counterpart of the replicated, totally-ordered blockchain.

Subject Classification

ACM Subject Classification
  • Computer systems organization → Peer-to-peer architectures
  • Networks → Network protocol design
  • Networks → Formal specifications
  • Software and its engineering → Distributed systems organizing principles
Keywords
  • Grassroots Distributed Systems
  • Dissemination Protocol
  • Multiagent Transition Systems
  • Blocklace
  • Cordial Dissemination

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References

  1. Ittai Abraham, Kartik Nayak, Ling Ren, and Zhuolun Xiang. Good-case latency of byzantine broadcast: A complete categorization. In Proceedings of the 2021 ACM Symposium on Principles of Distributed Computing, PODC'21, pages 331-341, New York, NY, USA, 2021. Association for Computing Machinery. URL: https://doi.org/10.1145/3465084.3467899.
  2. Paul Baran. On distributed communications networks. IEEE transactions on Communications Systems, 12(1):1-9, 1964. Google Scholar
  3. Juan Benet. Ipfs-content addressed, versioned, p2p file system. arXiv:1407.3561, 2014. Google Scholar
  4. Sonja Buchegger, Doris Schiöberg, Le-Hung Vu, and Anwitaman Datta. Peerson: P2p social networking: early experiences and insights. In Proceedings of the Second ACM EuroSys Workshop on Social Network Systems, pages 46-52, 2009. Google Scholar
  5. Miguel Castro, Barbara Liskov, et al. Practical byzantine fault tolerance. In OsDI, volume 99, pages 173-186, 1999. Google Scholar
  6. Gregory Chockler, Roie Melamed, Yoav Tock, and Roman Vitenberg. Constructing scalable overlays for pub-sub with many topics. In Proceedings of the twenty-sixth annual ACM symposium on Principles of distributed computing, pages 109-118, 2007. Google Scholar
  7. Bram Cohen. Incentives build robustness in bittorrent. In Workshop on Economics of Peer-to-Peer systems, volume 6, pages 68-72. Berkeley, CA, USA, 2003. Google Scholar
  8. Adem Efe Gencer, Soumya Basu, Ittay Eyal, Robbert van Renesse, and Emin Gün Sirer. Decentralization in bitcoin and ethereum networks. In International Conference on Financial Cryptography and Data Security, pages 439-457. Springer, 2018. Google Scholar
  9. Idit Keidar, Eleftherios Kokoris-Kogias, Oded Naor, and Alexander Spiegelman. All you need is dag, 2021. URL: https://arxiv.org/abs/2102.08325.
  10. Idit Keidar, Oded Naor, and Ehud Shapiro. Cordial miners: A family of simple and efficient consensus protocols for every eventuality. arXiv preprint arXiv:2205.09174, 2022. Google Scholar
  11. Andrew Lewis-Pye, Oded Naor, and Ehud Shapiro. Flash: An asynchronous payment system with good-case linear communication complexity. arXiv preprint arXiv:2305.03567, 2023. Google Scholar
  12. Ehud Shapiro. Grassroots cryptocurrencies: A foundation for a grassroots digital economy. arXiv preprint arXiv:2202.05619, 2022. Google Scholar
  13. Ehud Shapiro. Grassroots distributed systems: Concept, examples, implementation and applications. arXiv preprint arXiv:2301.04391, 2023. Google Scholar
  14. Ehud Shapiro. Grassroots social networking: Serverless, permissionless protocols for twitter/linkedin/whatsapp. arXiv preprint arXiv:2306.13941, 2023. Google Scholar
  15. Ehud Shapiro and Nimrod Talmon. Foundations for grassroots democratic metaverse. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, pages 1814-1818, 2022. Google Scholar
  16. Ion Stoica, Robert Morris, David Karger, M Frans Kaashoek, and Hari Balakrishnan. Chord: A scalable peer-to-peer lookup service for internet applications. ACM SIGCOMM computer communication review, 31(4):149-160, 2001. Google Scholar
  17. Robert Strom, Guruduth Banavar, Tushar Chandra, Marc Kaplan, Kevan Miller, Bodhi Mukherjee, Daniel Sturman, and Michael Ward. Gryphon: An information flow based approach to message brokering. arXiv preprint cs/9810019, 1998. Google Scholar
  18. Dominic Tarr, Erick Lavoie, Aljoscha Meyer, and Christian Tschudin. Secure scuttlebutt: An identity-centric protocol for subjective and decentralized applications. In Proceedings of the 6th ACM conference on information-centric networking, pages 1-11, 2019. Google Scholar
  19. Maofan Yin, Dahlia Malkhi, Michael K Reiter, Guy Golan Gueta, and Ittai Abraham. Hotstuff: Bft consensus with linearity and responsiveness. In Proceedings of the 2019 ACM Symposium on Principles of Distributed Computing, pages 347-356, 2019. Google Scholar
  20. Shoshana Zuboff. The age of surveillance capitalism: The fight for a human future at the new frontier of power: Barack Obama’s books of 2019. Profile books, 2019. Google Scholar
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