# 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')** *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:* | Gauges | Description | Visualization | | -------- | :-----------: | :----------: | |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%20image%2020220411034611.png) --- **Operating Definitions:** *Easiness/Difficulty* is defined as the ease of which the concepts can be generally understood. *Time/Scope* is in reference to the size of information necessary to learn to gain a decent level of comprehension. *Resources* is for links relevant to helping people understand the concepts. --- ## Necessary Terminology by Layer --- ### The Six (6) Technology Layers of Logos as a Blockchain - Terminology Template: [[here]] #### Consensus - [[BBA]] - [[Leaderless]] - [[DAGs]] - [[CIC]] - [[Messaging]] - [[Permissionless]] - [[Scalability]] - [[Decentralization]] - [[Security]] - [[Communication Costs]] - [[Stream or Subgraph]] - [[Staking]] - [[Sybil Resistance]] - [[CFT (Crash Fault Tolerant)]] - [[BFT (Byzantine Fault Tolerant)]] - [[Finality]] - [[Social Applications]] - [[Bootstrapping]] - [[Rounds]] - [[Round-less]] - [[PBFT]] - [[DAG-Based Consensus (Avalanche-like)]] - [[Liveness]] - [[Asynchronous (P2P)]] - [[Execution-Layer Decoupling]] - [[Interchangeability]] - [[Liveness]] - [[Extensibility]] - [[Highly-Partitioned Blockchains with Local Views]] - [[Ordering]] - [[Reputation]] - [[Confidence]] - [[Network Congestion]] - [[Topology]] - [[Resilience (Consensus context)]] - [[Verifiability]] - [[Non-Repudiation]] - [[Snowball]] - [[Lachesis]] - [[Glacier]] #### Node Reputation - [[Ikingut (Reputation Algorithm)]] - [[Important Conceptual Goals]] - Simple - Lightweight - Pluggable - Adaptive - Dynamic - Robust - No Transitive Trust - Reasonable Bootstrap Time - [[Reputation Polling]] (Polling Dynamics) - [[Indirect Request]] - [[Direct Request]] - [[Unirep]] (an example) - [[Qualities Necessary]] - [[Requires Verifiability]] - [[Requires Non-Repudiation]] - [[Privacy Preserving]] (preserve origins of score, emit opinions without a way to trace back the origins - MPC) - [[ Local Heuristic]] - [[Algorithm]] - Each Iteration 1. Voting 2. Agent Action (Post-Consensus Decision Finality) - Min-Multiplicative Reputation Punishment - Multiplicative - Linear - Experimental Research - Starting Point - Trust Wisdom per Node (requires further elaboration) - Adversary Types and Effects (requires further elaboration) - Current Stage of Testing/Challenges - Silent-Omniscient Adversaries - Modulating Punishment/No Punishment Impacts to Conditions - Adding Multiplicative-min Punishment - Attacks - Con-Artist Attack - The On-Off Attack - Effects on Glacier Consensus - Limitations - No immediate defense against coordinated attacks - Reputation does not add to security - Future Work - Circumstantial Impact of Reputation on Consensus - Long-running Simulation - Sudden changes in Collective Byzantine Behavior - Pending Questions 1. Interaction of Stake-based and Reputation-based selection - Stake simulations are necessary for exploring options - Relevant in the incentives discussion? 2. 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 - [[Node Challenges]] 1. [[Intermittence Flexibility | Maintain Operation in High-Churn Network]] 2. [[Sudden Changing Behavior]] 3. [[Bootstrapping Quickly]] 4. [[Resilience to Dynamic Unpredictable Network Changes (Can Handle Membership Volatility)]] - [[Design]] 1. [[Local reputation view]] 2. [[Adaptive and Dynamic]] 3. [[Required Bootstrapping]] - [[Network View Not Required]] - [[Individual Node Reputation Not Required]] - [[Eigentrust]] - [[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]] - [[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]] - [[Subnetworks]] - Design - Implementation - Ideas - [[Mempool]] - Challenges - Approach - Mempool Design #### Staking and Multi-DAG - [[Factory of DAGs]] - Concept - Algorithm - [[Sub-DAG]] - [[Cross-DAG]] - [[Bridge (Intermediary) Nodes]] - [[Gravity]] - [[Application-Level User-Driven]] - [[Direct Communication Channel]] - [[Direct Communication VGER]] - [[Challenges]] - Probabilistic finality and cross-network communication - Network partitioning, forks and cross-network communication - Weak Subjectivity - Reputation of nodes matters to clients. Nodes are clients of other networks. - [[Staking: Verifying Weights]] - [[Glacier Algorithm Quiesces]] - [[Approach]] 1. [[Deterministic Finality]] 2. [[Secondary Consensus Protocol]] (form local opinion on external DAG) 3. [[Intermediary DAG]] (Intersection of nodes participating mutually in common structures) - [[Vertex Sealing]] - [[XSub]] (Cross-sub-DAG communication) - [[XDAG]] (Cross-DAG communication) - [[XDAG Fees]] - [[Communication Patterns]] - Direct - User-Coordinated Channel - Sub-DAG-Coordinated Channel - [[Stake Sub-DAG]] - [[Totally-Ordered Chain]] - [[Global Knowledge]] - [[Alternative Designs]] - [[2P-Set]] - [[Per-Node Branch]] #### Data Model and Concurrency - Reference Work - [[eUTXO]] - References (Cardano foundational paper) - Direct extension of the basic UTXO model - Validator - Datum - Redeemer - Ledger Description - [[CKB]] - Key feature: state space ownership - Cell description - Transaction description - [[Zexe]] - Key Feature: Privacy - Transaction Description - Record Description - Approach - [[Data Model Design]] - Challenges - Concept - Data Structures and Constraints - [[Concurrent Execution (Threads)]] - [[Execution Patterns]] - Useful patterns - Example of EVM execution on this model - Explore and describe - Anti-patterns - High Contention - Low Affinity #### Tokenomics - [[Fees]] - [[Rewards]] - [[Slashing]] - [[MEV]]