AI in the Oceania Rainforest
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- REDIRECT AI in the Oceania Rainforest
AI in the Oceania Rainforest: Server Configuration
This article details the server configuration supporting the "AI in the Oceania Rainforest" project, a research initiative utilizing artificial intelligence to monitor and analyze data collected from the remote Oceania Rainforest. This guide is intended for new system administrators joining the project and needing to understand the underlying infrastructure. It covers hardware specifications, software stack, network topology, and security considerations.
Project Overview
The "AI in the Oceania Rainforest" project employs a network of sensor nodes deployed throughout the rainforest. These nodes collect data on biodiversity, climate, and environmental changes. This data is transmitted wirelessly to a central server cluster for processing and analysis using machine learning algorithms. The primary goals are early detection of deforestation, species identification, and predictive modeling of environmental impacts. Refer to the Data Collection Protocols for details on the sensor network. Further information on the AI models used can be found on the AI Model Documentation page.
Hardware Specifications
The server cluster consists of three primary server types: Database Servers, Application Servers, and Edge Processing Servers. Each type has distinct hardware requirements.
| Server Type | CPU | RAM | Storage | Network Interface |
|---|---|---|---|---|
| Database Servers | 2 x Intel Xeon Gold 6248R (24 cores/48 threads) | 256 GB DDR4 ECC Registered | 16 x 4TB NVMe SSD (RAID 10) | Dual 10GbE |
| Application Servers | 2 x AMD EPYC 7763 (64 cores/128 threads) | 128 GB DDR4 ECC Registered | 8 x 2TB NVMe SSD (RAID 1) | Quad 1GbE |
| Edge Processing Servers (On-site) | 1 x Intel Core i7-10700K (8 cores/16 threads) | 64 GB DDR4 | 2 x 1TB NVMe SSD | Dual 1GbE |
These servers are housed in a secure, climate-controlled data center. The data center's power infrastructure is detailed in the Data Center Power Specifications document. A full inventory of the hardware is available in the Hardware Asset Management System.
Software Stack
The software stack is built upon a Linux foundation, utilizing open-source tools wherever possible. The operating system is Ubuntu Server 22.04 LTS.
| Component | Software | Version |
|---|---|---|
| Operating System | Ubuntu Server | 22.04 LTS |
| Database | PostgreSQL | 14 |
| Application Framework | Python | 3.10 |
| AI/ML Libraries | TensorFlow, PyTorch, scikit-learn | Latest Stable |
| Web Server | Nginx | 1.23 |
| Monitoring | Prometheus, Grafana | Latest Stable |
Detailed installation and configuration guides for each component are available on the Software Installation Guide page. The AI/ML libraries are managed using conda environments to ensure reproducibility. Regular software updates are applied via an automated patching system described in the Patch Management Policy.
Network Topology
The network is segmented into three zones: the Data Center Network, the Remote Sensor Network, and the Administrative Network. The Data Center Network hosts the server cluster and is protected by a firewall. The Remote Sensor Network connects the sensor nodes to the Edge Processing Servers. The Administrative Network is used for server management and is isolated from the other networks.
| Network Zone | IP Range | Security Level | Access Restrictions |
|---|---|---|---|
| Data Center Network | 192.168.1.0/24 | High | Firewall-protected, limited SSH access |
| Remote Sensor Network | 10.0.0.0/24 | Medium | Wireless, encrypted communication |
| Administrative Network | 172.16.0.0/24 | High | VPN required, multi-factor authentication |
The network diagram is available on the Network Diagram page. All communication between the networks is encrypted using TLS/SSL. The firewall rules are documented in the Firewall Configuration Guide.
Security Considerations
Security is paramount due to the sensitive nature of the data collected and the remote location of the sensor network. Key security measures include:
- **Firewall:** A robust firewall protects the Data Center Network from unauthorized access.
- **Intrusion Detection System (IDS):** An IDS monitors network traffic for malicious activity.
- **Data Encryption:** All data is encrypted both in transit and at rest.
- **Access Control:** Access to the servers is restricted based on the principle of least privilege.
- **Regular Security Audits:** Periodic security audits are conducted to identify and address vulnerabilities.
- **VPN Access:** Remote access to the administrative network requires a secure VPN connection and multi-factor authentication.
- **Sensor Node Security:** Sensor nodes are physically secured and utilize encrypted communication protocols. See Sensor Node Security Protocols for more details.
Refer to the Security Policy Document for a comprehensive overview of all security measures. Incident response procedures are outlined in the Incident Response Plan.
Future Expansion
Planned future expansions include increasing the storage capacity of the Database Servers and adding additional Application Servers to handle the growing volume of data. The possibility of deploying a Kubernetes cluster for improved scalability and resource management is also under consideration.
Data Collection Protocols
AI Model Documentation
Data Center Power Specifications
Hardware Asset Management System
Software Installation Guide
Ubuntu Server 22.04 LTS
conda environments
Patch Management Policy
Network Diagram
TLS/SSL
Firewall Configuration Guide
Security Policy Document
Incident Response Plan
Sensor Node Security Protocols
Kubernetes cluster
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Intel-Based Server Configurations
| Configuration | Specifications | Benchmark |
|---|---|---|
| Core i7-6700K/7700 Server | 64 GB DDR4, NVMe SSD 2 x 512 GB | CPU Benchmark: 8046 |
| Core i7-8700 Server | 64 GB DDR4, NVMe SSD 2x1 TB | CPU Benchmark: 13124 |
| Core i9-9900K Server | 128 GB DDR4, NVMe SSD 2 x 1 TB | CPU Benchmark: 49969 |
| Core i9-13900 Server (64GB) | 64 GB RAM, 2x2 TB NVMe SSD | |
| Core i9-13900 Server (128GB) | 128 GB RAM, 2x2 TB NVMe SSD | |
| Core i5-13500 Server (64GB) | 64 GB RAM, 2x500 GB NVMe SSD | |
| Core i5-13500 Server (128GB) | 128 GB RAM, 2x500 GB NVMe SSD | |
| Core i5-13500 Workstation | 64 GB DDR5 RAM, 2 NVMe SSD, NVIDIA RTX 4000 |
AMD-Based Server Configurations
| Configuration | Specifications | Benchmark |
|---|---|---|
| Ryzen 5 3600 Server | 64 GB RAM, 2x480 GB NVMe | CPU Benchmark: 17849 |
| Ryzen 7 7700 Server | 64 GB DDR5 RAM, 2x1 TB NVMe | CPU Benchmark: 35224 |
| Ryzen 9 5950X Server | 128 GB RAM, 2x4 TB NVMe | CPU Benchmark: 46045 |
| Ryzen 9 7950X Server | 128 GB DDR5 ECC, 2x2 TB NVMe | CPU Benchmark: 63561 |
| EPYC 7502P Server (128GB/1TB) | 128 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (128GB/2TB) | 128 GB RAM, 2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (128GB/4TB) | 128 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (256GB/1TB) | 256 GB RAM, 1 TB NVMe | CPU Benchmark: 48021 |
| EPYC 7502P Server (256GB/4TB) | 256 GB RAM, 2x2 TB NVMe | CPU Benchmark: 48021 |
| EPYC 9454P Server | 256 GB RAM, 2x2 TB NVMe |
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⚠️ *Note: All benchmark scores are approximate and may vary based on configuration. Server availability subject to stock.* ⚠️