AI in the Ionian Sea
- AI in the Ionian Sea: Server Configuration
This document details the server configuration for the "AI in the Ionian Sea" project, a research initiative focused on real-time marine data analysis using artificial intelligence. This guide is intended for new team members and system administrators responsible for maintaining the infrastructure. Understanding this configuration is crucial for successful deployment, monitoring, and troubleshooting.
Project Overview
The "AI in the Ionian Sea" project utilizes a network of underwater sensors and surface buoys to collect data on water temperature, salinity, currents, and marine life. This data is streamed to a central server cluster for processing and analysis. The AI models employed are focused on anomaly detection, predictive modeling of algal blooms, and identification of marine species. The system is designed for high availability and scalability to handle increasing data volumes. We heavily rely on Special:Search/Logstash for data ingestion and Special:Search/Prometheus for monitoring.
Server Infrastructure
The core infrastructure consists of three primary server types: Data Ingestion Servers, Processing Servers, and Database Servers. All servers are located within a secure data center with redundant power and network connectivity. We have detailed Special:Search/disaster recovery plans in place. The network topology is a star configuration with a central Special:Search/firewall and load balancer.
Data Ingestion Servers
These servers are responsible for receiving data streams from the underwater sensors and buoys. They perform initial data validation and pre-processing before forwarding the data to the processing servers.
| Server Name | Role | Operating System | CPU | RAM | Storage |
|---|---|---|---|---|---|
| di-server-01 | Data Ingestion | Ubuntu Server 22.04 LTS | Intel Xeon Gold 6248R (24 cores) | 64 GB DDR4 ECC | 4 TB NVMe SSD (RAID 1) |
| di-server-02 | Data Ingestion (Backup) | Ubuntu Server 22.04 LTS | Intel Xeon Gold 6248R (24 cores) | 64 GB DDR4 ECC | 4 TB NVMe SSD (RAID 1) |
These servers utilize Special:Search/Fluentd for log aggregation and are configured with TLS encryption for secure data transmission. They also employ Special:Search/Kafka for buffering incoming data.
Processing Servers
These servers host the AI models and perform the core data analysis tasks. They are equipped with powerful GPUs to accelerate model training and inference.
| Server Name | Role | Operating System | CPU | RAM | GPU | Storage |
|---|---|---|---|---|---|---|
| ps-server-01 | AI Processing | Ubuntu Server 22.04 LTS | Intel Xeon Gold 6338 (32 cores) | 128 GB DDR4 ECC | NVIDIA A100 (80GB) | 8 TB NVMe SSD (RAID 0) |
| ps-server-02 | AI Processing | Ubuntu Server 22.04 LTS | Intel Xeon Gold 6338 (32 cores) | 128 GB DDR4 ECC | NVIDIA A100 (80GB) | 8 TB NVMe SSD (RAID 0) |
| ps-server-03 | AI Processing (Backup/Training) | Ubuntu Server 22.04 LTS | Intel Xeon Gold 6338 (32 cores) | 128 GB DDR4 ECC | NVIDIA A100 (80GB) | 8 TB NVMe SSD (RAID 0) |
The AI models are developed using Special:Search/Python and the Special:Search/TensorFlow framework. We use Special:Search/Docker for containerization and deployment.
Database Servers
These servers store the processed data and model outputs. They are configured for high availability and data redundancy.
| Server Name | Role | Operating System | CPU | RAM | Storage | Database |
|---|---|---|---|---|---|---|
| db-server-01 | Primary Database | CentOS Stream 9 | Intel Xeon Silver 4310 (12 cores) | 256 GB DDR4 ECC | 16 TB SAS HDD (RAID 6) | PostgreSQL 14 |
| db-server-02 | Replica Database | CentOS Stream 9 | Intel Xeon Silver 4310 (12 cores) | 256 GB DDR4 ECC | 16 TB SAS HDD (RAID 6) | PostgreSQL 14 (Replica) |
Data backups are performed daily using Special:Search/pg_dump. We utilize Special:Search/PostGIS for geospatial data analysis.
Networking and Security
The servers are connected via a 10 Gigabit Ethernet network. A Special:Search/firewall protects the network from unauthorized access. All communication between servers is encrypted using TLS. Regular security audits are conducted to identify and address potential vulnerabilities. We also employ Special:Search/intrusion detection systems (IDS). Access to the servers is restricted based on the principle of least privilege using Special:Search/SSH keys.
Monitoring and Alerting
We utilize Special:Search/Prometheus and Special:Search/Grafana for monitoring server performance and application metrics. Alerts are configured to notify administrators of critical events, such as high CPU usage, low disk space, or network connectivity issues. We also use Special:Search/Nagios for basic system health checks. Detailed logs are collected using Special:Search/Logstash and stored in Special:Search/Elasticsearch.
Future Considerations
Future enhancements to the infrastructure include the addition of more processing servers to handle increasing data volumes and the implementation of a distributed file system for improved storage scalability. We are also evaluating the use of more advanced AI models and techniques.
Special:Search/Server Administration
Special:Search/Database Management
Special:Search/Network Configuration
Special:Search/Security Protocols
Special:Search/AI Algorithms
Special:Search/Data Analysis
Special:Search/Sensor Networks
Special:Search/Marine Biology
Special:Search/Real-time Data
Special:Search/High Availability
Special:Search/Scalability
Special:Search/Linux Server
Special:Search/Virtualization
Special:Search/Cloud Computing
Special:Search/Data Storage
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.* ⚠️