AI-DRIVEN INTERNET MEASUREMENT
Automated Workflows for Complex Network Analysis
ArachNet leverages LLM agents to autonomously generate sophisticated Internet measurement workflows, mimicking expert reasoning and dramatically reducing manual effort in network resilience research and incident response.
Executive Impact
Internet measurement research faces an accessibility crisis, requiring complex analyses and significant manual effort to integrate specialized tools. ArachNet, an LLM agent-based system, automates the generation of measurement workflows by mimicking expert reasoning and leveraging predictable compositional patterns. It uses four specialized agents to handle problem decomposition, solution design, implementation, and adaptation. Validated across challenging Internet resilience scenarios, ArachNet independently generates expert-level workflows, orchestrates complex multi-framework integrations, and performs temporal forensic investigations, significantly reducing manual coordination and democratizing access to sophisticated measurement capabilities while maintaining technical rigor.
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Frameworks Integrated
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Manual Effort Reduction
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Time Savings per Workflow
Deep Analysis & Enterprise Applications
Select a topic to dive deeper, then explore the specific findings from the research, rebuilt as interactive, enterprise-focused modules.
ArachNet Overview
Expert Solution Replication
Multi-Framework Orchestration
Forensic Analysis
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Specialized LLM Agents Drive Automation
Enterprise Process Flow
User Query
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QueryMind: Analyze & Decompose
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WorkflowScout: Explore & Design
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SolutionWeaver: Implement Code
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RegistryCurator: Evolve Capabilities
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Executable Solution
Core Insight: Expert Reasoning Automation
ArachNet's core insight is that measurement expertise follows predictable compositional patterns that can be systematically automated. This allows LLM agents to independently generate workflows that mimic expert reasoning, significantly lowering barriers to sophisticated measurement capabilities. The system transforms diverse measurement frameworks into a unified knowledge base, supporting automated reasoning without requiring manual integration or deep domain expertise from the user.
Case Study 1: Expert-Level Cable Impact Analysis
Challenge: 'Identify the impact at a country level due to SeaMeWe-5 cable failure'. This requires understanding cable dependencies, extracting affected IPs, geographic mapping, and aggregation. ArachNet independently develops a direct processing pipeline, achieving equivalent country-level impact analysis with ≈250 lines of code, matching expert-designed solutions without architectural guidance. This demonstrates systematic automation of complex measurement reasoning.
Case Study 2: Natural Disaster Impact Analysis
Challenge: 'Identify the impact of severe earthquakes and hurricanes globally assuming a 10% infra failure probability'. This multi-disaster analysis requires complex cross-framework integration, but ArachNet demonstrates skilled restraint by correctly identifying that a single event processing function from Xaminer is sufficient. It avoids unnecessary over-engineering with ≈300 lines of code, reflecting expert architectural judgment and matching domain expert decision-making on solution scoping.
Case Study 3: Automated Cascading Failure Analysis
Challenge: 'Analyze the cascading effects of submarine cable failures between Europe and Asia'. This scenario demands sophisticated integration across infrastructure mapping, impact analysis, temporal correlation, and cross-layer synthesis. ArachNet automates integration across 4 frameworks (Nautilus, Xaminer, BGP and traceroute tools) spanning infrastructure, topology, and temporal domains. It orchestrates an analysis comprising ≈525 lines of code, traditionally requiring days of manual coordination, into seamless automated workflows. This demonstrates significant acceleration potential for complex measurement research.
Case Study 4: Automated Root Cause Investigation
Challenge: 'A sudden increase in latency was observed from European probes to Asian destinations starting three days ago. Determine if a submarine cable failure caused this, and if so, identify the specific cable'. This temporal forensic scenario requires integrating traceroute, BGP routing, and cable infrastructure data over time to establish causation. ArachNet successfully implements temporal correlation algorithms with causation establishment and definitive cable identification using ≈750 lines of code, matching expert-level reasoning and rigorous evidence standards while eliminating traditional manual analysis bottlenecks.
Quantify Your AI Impact
Quantify the potential impact of automating Internet measurement workflows in your organization.
Calculate Your Potential Annual Savings
Manual Internet measurement analysis for critical incidents or research projects often consumes significant expert time, leading to delays and high operational costs. ArachNet automates workflow generation, drastically reducing manual effort and accelerating analysis.
Annual Savings
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Hours Reclaimed Annually
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Your Implementation Roadmap
A structured approach to integrate ArachNet into your research and operational workflows, ensuring seamless adoption and maximum impact.
Phase 1: Workflow Definition & Registry Setup
Collaborate to define initial measurement goals and integrate your existing tools into ArachNet's registry. This phase establishes the foundation for automated workflow generation, ensuring compatibility and data access.
Phase 2: Agent Customization & Validation
Customize agent prompts to align with your specific domain expertise and validation requirements. Run initial test cases to ensure generated workflows meet your technical rigor and produce accurate analytical outputs.
Phase 3: Multi-Framework Integration & Scaling
Expand ArachNet's capabilities by integrating across multiple measurement frameworks relevant to your operations. Develop and validate complex scenarios, enabling cascading failure analysis and advanced forensic investigations at scale.
Phase 4: Continuous Learning & Optimization
Leverage RegistryCurator to continuously evolve ArachNet's capabilities by identifying reusable patterns from successful workflows. Optimize agents for new measurement domains and refine prompt engineering for maximum generalization and efficiency.
Ready to Transform Your Network Analysis?
Automate complex measurement workflows, accelerate incident response, and unlock new research capabilities with ArachNet.
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