17 KiB
Understanding the Logos Blockchain Whitepaper
Title: Understanding the Logos Blockchain Whitepaper | A High-Level Conceptual Overview/Review of the Logos Blockchain
Purpose: This document reflects an approach of whitepaper review that combines a rough-draft whitepaper review containing comments/reflections/concerns with a further simplification of concepts to make everything more digestible to more people outside of the internal Status infra team for communication purposes. In addition, this review will provide a gauge of difficulty of understanding involved with various different terms/concepts.
Tags: #learning #whitepaper #Logos
**"We build everything on top of consensus." ** Dr. Corey Petty
How-To (Get Cookin')
Instructions: There are some descriptions below which detail the usage of visual guidance metrics available in the form of "cookbook-like" instructions for how to consume this document:
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Difficulty | 1-10 (Ticks/Pips) | [||||||||||] |
Time | In Minutes | X Minutes |
Resources | Article/Video Links w/ Visual Content | Conceptual & Pictoral "Ingredients List" of Links |
See below 'Recipe' and modify accordingly to above in Figma.
![[Pasted image 20220415164934.png]]
Operating Definitions:
Prep (Difficulty) is defined as the ease of which the concepts can be generally understood. (Future: Make into more fun visual or something more enjoyable than a difficulty bar.)
Cook Time (Scope) is in reference to the size of information necessary to learn to gain a decent level of comprehension.
Ingredients (Resources) is for links relevant to helping people understand the concepts. Number references and use superscript notation to reference mentions in terminology Recipes descriptions.
Future Work: Adjust difficulty/time ratings, cook time respec. based on feedback from everyone at DXB.
Necessary Terminology by Layer
The Six (6) Technology Layers of Logos as a Blockchain
tl;dr one to two sentences that group these phrases together
- Terminology Template (Recipe): here
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Consensus
- BBA
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- Leaderless
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- DAGs
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- CIC
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- See 'Consensus' section within Logos Specifications
- P2P Messaging
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- Message Passing (is a general framework, P2P Messaging is a subset of Message Passing)
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- Gossip Protocol (is a subset of P2P Messaging)
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- Permissionless
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- Scalability
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- Decentralization
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- Security
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- Communication Costs (wrt message complexity - see how this extends into hardware)
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- Stream or Subgraph
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- Staking
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- https://deliverypdf.ssrn.com/delivery.php?ID=112001112005005071028123005115028071053009053038065056030075021066021091100007083094098007039126015013042085120028028079118118027039038017006093067005067006124005093039032030000094104124024001105026027114005123097090090111113068087076002030115100122071&EXT=pdf&INDEX=TRUE
- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3609817
- https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4059460
- Sybil Resistance
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- CFT (Crash Fault Tolerant)
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- BFT (Byzantine Fault Tolerant)
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- PBFT (Practical Byzantine Fault Tolerant)
- Finality
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- Social Applications (look up context)
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- Bootstrapping
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- Rounds
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- Round-less
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- Paxos
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- DAG-Based Consensus
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- Liveness
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- Asynchronous (P2P)
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- Execution-Layer Decoupling
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- Interchangeability
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- Liveness
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- Extensibility
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- Highly-Partitioned Blockchains with Local Views
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- Ordering
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- Reputation
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- Confidence
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- Network Congestion
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- Topology
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- Resilience (Consensus context)
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- Verifiability
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- Non-Repudiation
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- Snowball
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- Lachesis
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- Glacier
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Node Reputation
- Ikingut (Reputation Algorithm)
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- Important Conceptual Goals
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- Simple
- Lightweight
- Pluggable
- Adaptive
- Dynamic
- Robust
- No Transitive Trust
- Reasonable Bootstrap Time
- Reputation Polling (Polling Dynamics)
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- Indirect Request
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- Direct Request
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- Unirep (a pre-existing example)
- Qualities Necessary (of Direct Request)
- Verifiability
- Non-Repudiation
- Privacy Preserving (preserve origins of score, emit opinions without a way to trace back the origins - MPC)
- Local Heuristic
- Glacier Algorithm
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- Each Iteration
- Voting
- Agent Action (Post-Consensus Decision Finality)
- Min-Multiplicative Reputation Punishment
- Multiplicative
- Linear
- Each Iteration
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- Experimental Research
- Starting Point
- Trust Wisdom per Node (requires further elaboration)
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- Adversary Types and Effects (requires further elaboration)
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- Trust Wisdom per Node (requires further elaboration)
- Current Stage of Testing/Challenges
- Silent-Omniscient Adversaries
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- Punishment Testing (Modulating Punishment/No Punishment Impacts to Conditions)
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- Adding Multiplicative-min Punishment
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- Reputation Attacks
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- Con-Artist Attack
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- The On-Off Attack
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- Punishment Effects on Glacier
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- Reputation Limitations
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- No immediate defense against coordinated attacks
- Reputation does not add to security
- Silent-Omniscient Adversaries
- Future Work
- Circumstantial Impact of Reputation on Consensus
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- Long-running Simulation
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- Sudden changes in Collective Byzantine Behavior
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- Pending Questions
- Interaction of Stake-based and Reputation-based selection
- Stake simulations are necessary for exploring options
- Relevant in the incentives discussion?
- How much (and if) does reputation really help in a coordinated attack? (Assuming patient con-artist attack)
- Complex interactions here, this model would particularly benefit having a prototype/PoC
- Interaction of Stake-based and Reputation-based selection
- Circumstantial Impact of Reputation on Consensus
- Starting Point
- Node Challenges
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- Design
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- Eigentrust
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- Transitive Trust
- Understanding the Math
- Trust Decay
- Malicious Clusters (describe nuances better, trusted nodes cannot overlap the malicious collective)
- Trust for Consensus
- Separation of Reputation
- Confidant
- XRep
- P-Grid
- R2Trust
- Generic Taxonomy
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- Dimensions
- Single
- Multiple
- Time computation
- Aggregation
- Deterministic sum of positive and negative ratings
- Probabilistic
- Logic
- Local vs gathered data
- Age of data
- Frequency of data
- Weight of multiple dimensions
- Value Control
- External
- Internal
- Data Aging
- None
- Decay
- Death of old/selected
- Selection
- Ranking-based
- Threshold (trusted/untrusted)
- Probabilistic selection
Network Layer and Mempool
- Node Discovery
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- Subnetworks
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- Design
- Implementation
- Ideas
- Mempool
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- Challenges
- Approach
- Mempool Design
Staking and Multi-DAG
- Factory of DAGs
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- Concept
- Algorithm
- Sub-DAG
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- Cross-DAG
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- Bridge (Intermediary) Nodes
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- Gravity
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- Application-Level User-Driven
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- Direct Communication Channel
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- Direct Communication VGER
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- Challenges
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- Probabilistic Finality and Cross-Network Communication
- Network Partitioning and Forks
- Weak Subjectivity - Reputation of nodes matters to clients. Nodes are clients of other networks.
- Verifying Weights in Staking
- Glacier Algorithm Quiesces
- Approach
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- Deterministic Finality
- Secondary Consensus Protocol (form local opinion on external DAG)
- Intermediary DAG (Intersection of nodes participating mutually in common structures)
- Vertex Sealing
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- XSub (Cross-sub-DAG communication)
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- XDAG (Cross-DAG communication)
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- XDAG Fees
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- Communication Patterns
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- Direct
- User-Coordinated Channel
- Sub-DAG-Coordinated Channel
- Stake Sub-DAG
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- Totally-Ordered Chain
- Global Knowledge
- Alternative Designs
Data Model and Concurrency
- Reference Work
- eUTXO (Direct extension of the basic UTXO model)
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- References (Cardano foundational paper)
- Validator
- Datum
- Redeemer
- Ledger Description
- CKB
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- Key feature: state space ownership
- Cell description
- Transaction description
- Zexe
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- Key Feature: Privacy
- Transaction Description
- Record Description
- eUTXO (Direct extension of the basic UTXO model)
- Approach
- Data Model Design
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- Challenges
- Concept
- Data Structures and Constraints
- Concurrent Execution (Threads)
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- Execution Patterns
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- Useful patterns
- Example of EVM execution on this model
- Explore and describe
- Anti-patterns
- High Contention
- Low Affinity
Tokenomics
- Fees
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- Rewards
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- Slashing
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- MEV
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