PDMS/Requirements

From Logos

Logos Peer-to-Peer Data Management System (PDMS) Software Requirements Specification[edit]

Version 1.0 Prepared by Jarrad Hope December 26, 2024

1. Introduction[edit]

1.1 Purpose[edit]

This Software Requirements Specification (SRS) document provides a detailed description of the Peer-to-Peer Data Management System (PDMS) module for the Logos Microkernel. The PDMS module serves as a decentralized search and query engine utilizing SPARQL-Star and RDF-Star technologies.

Its intended use-cases are:

  • Enabling content discovery for the Codex (Decentralized File Storage module)
  • Providing a unified query interface for interacting with various blockchains through RML adapters, as an alternative to trusted JSON-RPC interfaces
  • A backend for the Logos Module Package Manager for storing version history of packages and dependency graphs

1.2 Document Conventions[edit]

This document follows these conventions:

  • Requirements are uniquely identified using the format REQ-[Category]-[Number]
  • Priority levels are defined as:
    • MUST: Essential requirement
    • SHOULD: Important but not essential
  • TBD (To Be Determined) marks items requiring further clarification
  • Notes and implementation suggestions are marked with "Note:"
  • Technical terms are defined in the Glossary (Appendix A)

1.3 Intended Audience and Reading Suggestions[edit]

This document is intended for:

  • Software developers implementing the PDMS module
  • System architects designing higher-level components
  • Quality assurance team members
  • Other Logos Microkernel module developers
  • Technical writers creating documentation

For developers, we recommend reading sections in this order:

  • Product Scope (Section 1.4)
  • Product Perspective (Section 2.1)
  • System Features (Section 4)
  • External Interfaces (Section 3)
  • Other Requirements (Sections 5 and 6)

1.4 Product Scope[edit]

The PDMS module is a core component of the Logos Microkernel that provides:

  • A decentralized data management layer using RDF-Star and SPARQL-Star
  • Content discovery capabilities for the Codex distributed file storage system
  • A unified query interface for blockchain data through RML adapters
  • Distributed data replication and synchronization
  • Support for semantic queries across decentralized datasets

1.5 References[edit]

Standards and Specifications:

  • W3C RDF 1.1 Concepts and Abstract Syntax
  • W3C SPARQL 1.1 Query Language
  • RDF-Star and SPARQL-Star Community Group Report
  • RDF Mapping Language (RML) Specification
  • IEEE 830-1998 SRS Guidelines

System Architecture:

  • Logos Microkernel Architecture Specification
  • Codex (Decentralized File Storage) Module Specification
  • Anonymous DHT Protocol Specification
  • Query Routing Protocol (QRP) Specification

2. Overall Description[edit]

2.1 Product Perspective[edit]

The PDMS module is a component of the larger Logos Microkernel ecosystem. It depends on:

Logos Anonymous DHT[edit]
  • Provides decentralized routing infrastructure
  • Enables anonymous data storage and retrieval
  • Supports secure peer discovery

The PDMS module indirectly interfaces with:

Codex Module[edit]
  • Provides semantic content discovery
  • Indexes stored content metadata
  • Enables content queries using SPARQL-Star
Package Manager Module[edit]
  • Stores package version history as RDF-Star data
  • Tracks package dependencies and metadata
  • Manages package distribution and updates
Blockchain Systems[edit]
  • Offers unified query interface via RML adapters
  • Translates blockchain state to RDF model
  • Supports cross-chain queries

2.2 Product Functions[edit]

RDF-Star Data Management[edit]
  • The system MUST:
    • Store and manage RDF-Star triples
    • Support basic named graphs
    • Provide distributed indexing
  • The system SHOULD:
    • Support nested assertions
    • Enable advanced graph operations
    • Optimize replication strategies
SPARQL-Star Query Processing[edit]
  • The system MUST:
    • Execute distributed SPARQL-Star queries
    • Implement basic query optimization
    • Support incremental results
  • The system SHOULD:
    • Provide advanced optimization
    • Enable parallel processing
    • Support complex aggregations

2.3 User Classes and Characteristics[edit]

Application Developers[edit]
  • Primary users of the PDMS API
  • Need documentation and examples
  • Require stable interfaces
  • Technical expertise with RDF/SPARQL
Other Logos Modules[edit]
  • Automated system interactions
  • High performance requirements
  • Internal API usage
Blockchain Developers[edit]
  • Integration with existing chains
  • Custom RML adapter creation
  • Cross-chain query needs
Content Publishers[edit]
  • Metadata management
  • Content discovery optimization
  • Availability tracking

2.4 Operating Environment[edit]

The PDMS module operates in a distributed P2P environment with these characteristics:

  • Operating Systems: Cross-platform (Linux, macOS, Windows)
  • Network: Decentralized P2P overlay network
  • Storage: Local and distributed storage systems
  • Memory: Minimum 4GB RAM recommended
  • Processing: Multi-core CPU recommended
  • Concurrent Users: Scales with P2P network size

2.5 Design and Implementation Constraints[edit]

Technical Constraints[edit]
  • The system MUST:
    • Use RDF-Star for data representation
    • Implement SPARQL-Star specification
    • Support P2P network protocols
    • Be compatible with Logos Microkernel architecture
Standards Compliance[edit]
  • The system MUST:
    • Follow W3C RDF/SPARQL standards
Development Constraints[edit]
  • The system MUST:
    • Follow open source licensing requirements
    • Meet code quality standards
    • Provide comprehensive documentation

2.6 User Documentation[edit]

API Documentation[edit]
  • SPARQL-Star endpoint usage
  • RDF-Star data modeling
  • Blockchain adapter creation
  • Query optimization guidelines
Integration Guides[edit]
  • Codex integration
  • Blockchain integration
  • Custom adapter development
  • P2P network configuration
Tutorials and Examples[edit]
  • Basic query examples
  • Advanced query patterns
  • Content discovery patterns
  • Blockchain query examples

2.7 Assumptions and Dependencies[edit]

Assumptions[edit]
  • Network connectivity is generally available
  • Users understand RDF/SPARQL concepts
  • Blockchain systems provide stable APIs
  • Storage capacity is sufficient for data replication
Dependencies[edit]
  • Logos Microkernel core functionality
  • Logos Anonymous DHT module
  • RDF/SPARQL processing libraries
  • Blockchain client libraries

3. External Interface Requirements[edit]

3.1 User Interfaces[edit]

SPARQL-Star Endpoint[edit]
  • The system MUST provide:
    • HTTP/HTTPS REST API
    • WebSocket support for subscriptions
    • Query result formatting options
Management Interface[edit]
  • The system MUST provide:
    • Configuration API
    • Monitoring endpoints
    • Administrative functions
Integration Interfaces[edit]
  • The system MUST provide:
    • Blockchain adapter API
    • Custom protocol handlers

3.2 Hardware Interfaces[edit]

Storage Systems[edit]
  • The system MUST support:
    • Local disk access
    • SSD optimization
    • Memory-mapped files

3.3 Software Interfaces[edit]

Logos Microkernel Interface[edit]
  • The system MUST support:
    • Module registration
    • Inter-module communication
    • Resource management
Blockchain Interfaces[edit]
  • The system MUST support:
    • RML adapter framework
    • State synchronization
    • Event subscription
Database Interfaces[edit]
  • The system MUST support:
    • RDF triple store
    • Index management
    • Query optimization

3.4 Communications Interfaces[edit]

P2P Network Protocol[edit]
  • The system MUST support:
    • Node discovery
    • Data synchronization
    • Query routing
Inter-process Communication[edit]
  • The system MUST support:
    • Microkernel-defined protocols

4. System Features[edit]

4.1 RDF-Star Data Model and Storage[edit]

REQ-RDF-1: Triple Pattern Support[edit]
  • The system MUST:
    • Support basic RDF-Star triple patterns
    • Provide basic ACID guarantees for local operations
    • Support basic named graphs
    • Implement basic schema mediation
    • Handle basic concurrent operations
  • The system SHOULD:
    • Support advanced RDF-Star features including nested assertions
    • Provide comprehensive ACID guarantees across distributed operations
    • Support advanced context management
    • Implement sophisticated schema mediation
    • Handle complex concurrent modifications
REQ-IDX-1: Indexing Capabilities[edit]
  • The system MUST:
    • Implement basic indexing strategies
    • Support basic data locality
    • Provide basic replication
    • Maintain basic index statistics
  • The system SHOULD:
    • Implement advanced indexing strategies
    • Support sophisticated locality-preserving functions
    • Provide intelligent selective replication
    • Implement adaptive index maintenance

4.2 Query Processing and Routing[edit]

REQ-QUERY-1: SPARQL-Star Support[edit]
  • The system MUST:
    • Support full SPARQL-Star syntax and semantics
    • Implement basic cost-based optimization
    • Support parallel execution
    • Handle partial results
    • Provide incremental streaming
    • Track basic execution statistics
  • The system SHOULD:
    • Implement advanced optimization
    • Support dynamic workload redistribution
    • Provide comprehensive metrics
    • Include detailed progress estimation
REQ-DIST-QUERY-1: Distributed Processing[edit]
  • The system MUST:
    • Decompose queries into subqueries
    • Implement basic subquery placement
    • Handle distributed joins
    • Support basic aggregation
    • Implement basic sorting
    • Provide reliable result assembly
  • The system SHOULD:
    • Optimize subquery placement
    • Implement sophisticated join strategies
    • Support early pruning
    • Provide advanced algorithms

4.3 Decentralized Content Discovery[edit]

REQ-DISC-1: Content Management[edit]
  • The system MUST:
    • Support basic semantic search capabilities
  • The system SHOULD:
    • Index basic content metadata
    • Handle basic content updates
    • Support advanced metadata extraction
    • Implement sophisticated algorithms
    • Provide detailed tracking
    • Support faceted navigation

4.4 Blockchain Query Interface[edit]

REQ-CHAIN-1: Blockchain Integration[edit]
  • The system MUST:
    • Support basic RML mapping
  • The system SHOULD:
    • Support multiple blockchain types
    • Support advanced mapping features
    • Implement optimized synchronization
    • Provide reorganization handling
    • Support real-time updates

4.5 Data Consistency and Distribution[edit]

REQ-CONS-1: Consistency Management[edit]
  • The system MUST:
    • Implement basic eventual consistency
    • Provide basic conflict detection
    • Support basic replication
    • Handle basic concurrent updates
  • The system SHOULD:
    • Support configurable consistency levels
    • Implement advanced conflict resolution
    • Provide strong consistency guarantees
    • Support optimistic replication
REQ-NET-1: Network Management[edit]
  • The system MUST:
    • Implement basic P2P topology
    • Handle basic network partitions
    • Support basic query routing
    • Provide basic load balancing
  • The system SHOULD:
    • Implement hybrid topology
    • Support advanced partition handling
    • Provide topology-aware optimization
    • Handle complex churn patterns

5. Other Nonfunctional Requirements[edit]

5.1 Performance and Scalability Requirements[edit]

Query Performance[edit]
  • The system MUST achieve:
    • Simple queries: < 500ms response time
    • Complex queries: < 2s response time
    • Distributed queries: < 10s response time
    • Basic join operations: < 15s response time
  • The system SHOULD achieve:
    • Simple queries: < 100ms response time
    • Complex queries: < 1s response time
    • Distributed queries: < 5s response time
    • Join queries: < 10s response time
Scalability[edit]
  • The system MUST support:
    • 1M+ RDF triples per node
    • 100+ concurrent queries
    • 100+ connected peers
    • Sub-linear scaling
  • The system SHOULD support:
    • 10M+ RDF triples per node
    • 1000+ concurrent queries
    • Linear scaling
    • Graceful degradation

5.2 Security Requirements[edit]

Data Security[edit]
  • The system MUST:
    • Implement basic data encryption
    • Support secure channels
    • Provide basic access control
    • Implement basic key management
  • The system SHOULD:
    • Support advanced encryption
    • Implement end-to-end encryption
    • Provide fine-grained control
    • Support key rotation
Privacy Protection[edit]
  • The system MUST:
    • Support basic anonymization
    • Implement basic query privacy
    • Protect basic metadata
    • Provide basic network privacy
  • The system SHOULD:
    • Implement advanced techniques
    • Support private retrieval
    • Provide metadata obfuscation
    • Enable privacy-preserving analytics

5.3 Software Quality Attributes[edit]

Reliability[edit]
  • The system MUST achieve:
    • 99% uptime
    • Basic error recovery
    • Basic consistency guarantees
    • Basic fault tolerance
  • The system SHOULD achieve:
    • 99.9% uptime
    • Advanced recovery mechanisms
    • Strong consistency guarantees
    • Comprehensive fault tolerance
Maintainability[edit]
  • The system MUST provide:
    • Basic modular architecture
    • Essential documentation
    • Test coverage > 60%
    • Basic debugging support
  • The system SHOULD provide:
    • Advanced modular design
    • Comprehensive documentation
    • Test coverage > 80%
    • Advanced debugging capabilities

5.4 Incentive Mechanisms and Network Participation[edit]

Contribution Tracking[edit]
  • The system MUST:
    • Track basic resource usage
    • Monitor basic processing
    • Measure basic contributions
    • Record basic bandwidth usage
    • Maintain basic logs
  • The system SHOULD:
    • Track detailed metrics
    • Monitor query complexity
    • Measure quality and availability
    • Record detailed patterns
    • Calculate comprehensive scores
Resource Management[edit]
  • The system MUST:
    • Implement basic allocation
    • Provide basic management
    • Support basic quotas
    • Enable basic limits
  • The system SHOULD:
    • Implement dynamic allocation
    • Provide fair distribution
    • Support advanced quotas
    • Enable fine-grained control

6. Other Requirements[edit]

Internationalization[edit]
  • The system MUST:
    • Support UTF-8 encoding
    • Provide basic error messages
    • Handle basic timezone conversions
  • The system SHOULD:
    • Support full Unicode
    • Provide localized messages
    • Support multiple languages
Legal Compliance[edit]
  • The system MUST:
    • Comply with open source licensing
Installation[edit]
  • The system MUST:
    • Support basic automated installation
    • Provide basic configuration
    • Support basic upgrades
  • The system SHOULD:
    • Support advanced automation
    • Provide comprehensive management
    • Enable seamless upgrades

Appendix A: Glossary[edit]

Data Management Terms[edit]
  • RDF-Star: Enhanced RDF data model supporting statements about statements
  • SPARQL-Star: Query language for RDF-Star data
  • RML: RDF Mapping Language for data integration
  • ACID: Atomicity, Consistency, Isolation, Durability
  • Schema Mediation: Process of mapping between different data schemas
  • Semantic Integration: Combining data based on shared meaning
Network Terms[edit]
  • P2P: Peer-to-Peer network architecture
  • DHT: Distributed Hash Table for content routing
  • Super-peer: Node with enhanced capabilities and responsibilities
  • Churn: Rate of peers joining and leaving the network
  • TTL: Time-To-Live for message propagation control
  • QRP: Query Routing Protocol
System Components[edit]
  • Codex: Logos Microkernel's distributed storage module
  • Blockchain Adapter: Component for integrating blockchain data
  • Cache Manager: Component handling distributed caches
  • Load Balancer: Component distributing workload
  • Query Engine: Component processing SPARQL-Star queries
  • Index Manager: Component maintaining data indexes

Appendix B: Analysis Models[edit]

Architectural Models[edit]
  • System component diagram showing module interactions
  • Network topology diagram illustrating P2P organization
  • Data flow diagram for query processing pipeline
  • Component interaction diagram for blockchain integration
  • Deployment diagram showing system distribution
Behavioral Models[edit]
  • Sequence diagram for distributed query processing
  • Activity diagram for data replication workflow
  • State diagram for peer lifecycle management
  • Collaboration diagram for schema mediation
  • Use case diagram for system interactions
Data Models[edit]
  • RDF-Star data model for content metadata
  • Schema mapping model for blockchain integration
  • Caching and replication model
  • Index structure model
  • Query plan representation model

Appendix C: To Be Determined List[edit]

Data Management[edit]
  • Detailed schema evolution procedures
  • Conflict resolution strategies
  • Data versioning mechanisms
  • Schema mapping validation
  • Data quality metrics
Query Processing[edit]
  • Advanced optimization techniques
  • Cost model calibration
  • Caching policies
  • Join algorithms
  • Plan adaptation strategies
Integration[edit]
  • Specific blockchain adapters
  • External system protocols
  • Data format conversion
  • Event handling mechanisms
  • State synchronization procedures
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