Functionan Specification
1. Problem Statement
1.1. Inefficiency of Centralized Cloud Infrastructure
Centralized cloud services (AWS, Google Cloud) rely on hyperscale data centers. This model creates a Single Point of Failure, high latency for edge users due to geographic distance, and exorbitant costs driven by CAPEX/OPEX overheads. Furthermore, user data sovereignty is compromised as providers retain full access and control.
1.2. Underutilization of Consumer Hardware
Billions of consumer devices (smartphones, laptops) possess significant dormant computational and storage capacity. However, due to network instability (NAT/Firewalls) and hardware heterogeneity, these resources remain untapped, contributing to global e-waste.
2. LampNet Solution
We are building LampNet, which creates a Decentralized Physical Infrastructure Network (DePIN) that aggregates these dormant resources into a unified, programmable service mesh. By abstracting hardware complexity through the Cave runtime and ensuring data durability via Mirage coding, LampNet delivers enterprise-grade infrastructure services with zero marginal cost.
3. Core Functional Capabilities
3.1. Immutable and Redundant Data Storage
The system provides a storage layer resistant to censorship and physical failures.
Mechanism: Data is not replicated but erasure-coded using Mirage (Systematic LT Codes). A 1GB file is fragmented into thousands of independent symbols distributed across the network.
Scientific Validity: Mathematical probability ensures data reconstruction even with 30-40% node churn (offline rate), surpassing traditional RAID replication in efficiency.
Benefit: Guarantees data permanence for dApps requiring high durability (e.g., NFT metadata, supply chain provenance logs) without the cost of 3x replication.
3.2. Verifiable Edge Computing
The system enables execution of computational workloads on untrusted edge devices.
Mechanism: Workloads run within Cave (Lampa-NanoVisor), a WebAssembly-based sandbox that isolates execution from the host OS.
Scientific Validity: Proof-of-Useful-Work (PoUW) algorithms cryptographically verify that the hardware (CPU/GPU) performed the task correctly, mitigating Sybil attacks.
Benefit: Enables dApps to offload AI inference or transcoding tasks to the edge, reducing latency and cost compared to centralized serverless functions.
3.3. High-Throughput Secure Transport
The system ensures reliable data delivery over unstable consumer networks.
Mechanism: Carpet (Lampa-Warp) utilizes QUIC over UDP with Forward Error Correction (FEC) and Connection Migration.
Scientific Validity: Overcomes TCP Head-of-Line blocking and NAT traversal issues common in residential networks.
Benefit: Ensures seamless video streaming and large file transfers even when nodes switch between Wi-Fi and Cellular networks.
4. Stakeholder Value Proposition
4.1. Value for Decentralized Applications
dApps gain access to a permissionless, censorship-resistant backend.
Cost Efficiency: Resource pricing is determined by market supply of dormant hardware, naturally lower than datacenter pricing.
Data Sovereignty: Client-side encryption ensures that dApps retain exclusive control over user data keys, compliant with GDPR/privacy standards.
4.2. Value for Hardware Providers
Owners of legacy devices can monetize depreciation.
Resource Monetization: Devices generate $LAMP tokens by proving their contribution to the network.
Hardware Safety: The Cave runtime strictly limits resource usage (Fuel/Time), preventing thermal throttling or battery degradation on consumer devices.
343. Value for the Cardano Ecosystem
LampNet bridges the gap between on-chain logic and off-chain physics.
Utility Generation: The consumption of $MAGIC tokens for infrastructure services creates a deflationary pressure and real-world utility for the ecosystem assets.
Infrastructure Independence: Reduces Cardano dApps' reliance on centralized Web2 infrastructure, enhancing the resilience of the entire blockchain stack.
5. Conclusion
LampNet is a scientifically rigorous implementation of the DePIN thesis. It transforms the chaotic, heterogeneous landscape of consumer hardware into a deterministic, reliable infrastructure layer, solving the trilemma of Cost, Security, and Scalability for the Web3 economy.
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