Experiment Project: Making Monero Transactions Cheaper

Purpose of the experiment

Determine the impact of increased computing power, specifically 1 TB of RAM and multi-processor servers with Xeon Platinum and GRAID, on the cost of processing transactions on the Monero network.

Description of the environment

  1. Test platform

    • Reference virtual server: VMWare ESXi 8.x with provision of 1 TB RAM, 64 vCPU and 10 TB NVMe storage.

    • Physical server:

      • Processors: 4× Intel Xeon Platinum 8490H (total 224 cores, 448 threads).

      • RAM: 2 TB DDR5 ECC.

      • Storage: 12× NVMe PCIe Gen 5 SSD (using GRAID SupremeRAID SR-1000).

      • Interfaces: 2× CXL 2.0 and 4× PCIe 5.0 x16.

  2. Software

    • Operating system: Ubuntu Server 22.04 LTS (optimized for high load).

    • Monero node: Latest version of Monero CLI, configuration for Testnet.

    • Additional components: Monitoring tools (Prometheus, Grafana).

Experimental methodology

  1. Preparation stages

    • Deploy virtual and physical infrastructure.

    • Configure Monero CLI to run in Full Node mode on a test network.

    • Activate RandomX to perform calculations.

  2. Test scenarios

    • Basic performance: Measuring block processing and transaction confirmation times under standard load (~100 transactions per second).

    • Peak load: Simulating high activity (~10,000 transactions per second).

    • Comparative measurements: Conducting identical tests on virtual and physical infrastructure.

  3. Measured parameters

    • Average transaction confirmation time.

    • Loading of CPU, RAM and disk subsystem.

    • Energy consumption.

    • The cost of processing one transaction (based on the cost of electricity and resources).

Expected results

  1. Physical server:

    • Accelerate transaction confirmation due to increased throughput and parallel processing.

    • Lower transaction cost due to efficient use of RandomX resources and disk operations.

  2. Virtual server:

    • Ease of scaling due to virtualization.

    • Possible increased latency due to virtual environment overhead.

Conclusions and practical application

  • Determine which architectural solutions provide the most effective price/performance ratio.

  • Recommendations for setting up Monero nodes for professional operators.

  • Assessing the potential for reducing the cost of Monero transactions through high-performance server configurations.

Experiment period

4–6 weeks including all stages of setup and testing.

Consider the project

1. Cost of hardware and virtual environment

Designation

Quantity

Unit Price (USD)

Total Cost (USD)

Physical server:




Intel Xeon Platinum 8490H

4 pcs.

13,000

52,000

RAM modules DDR5 ECC 512 GB

4 pcs.

3,500

14,000

NVMe SSD PCIe Gen 5, 4TB

12 pcs.

1,200

14,400

GRAID SupremeRAID SR-1000 controller

1 piece

5,000

5,000

Motherboard supporting CXL

1 piece

2,000

2,000

Cooling and power systems

1 set

8,000

8,000

Server Corps

1 piece

2,500

2,500

Total (physical server):



97,900

Virtual environment:




License VMWare ESXi 8.x

1

4,000

4,000

Server rental with 1 TB RAM (3 months)

1

5,000/month

15,000

Total (virtual environment):



19,000

2. Software

Designation

Price (USD)

Notes

Ubuntu Server 22.04 LTS

0

For free

Monero CLI

0

For free

Monitoring (Prometheus, Grafana)

0

For free

Data Analysis Tools

1,000

If necessary

Total:

1,000


3. Infrastructure and energy costs

Designation

Quantity

Unit Price (USD)

Total Cost (USD)

Physical server energy consumption (3 months)

~4 kW

0.12/kW·h

~4,320

Data center rental (3 months)

1

1,500/month

4,500

Total:



8,820

4. Personnel costs

Designation

Number of hours

Rate (USD/hour)

Total Cost (USD)

Setting up a physical server

40

50

2,000

Setting up a virtual server

20

50

1,000

Data monitoring and analysis (3 months)

120

50

6,000

Total:



9,000

General estimate of the project:

135,720 USD

Deployment time

  1. Equipment preparation:

    • Hardware purchase: 2–3 weeks.

    • Assembly and testing of a physical server: 1 week.

  2. Environment setup:

    • Virtual server (VMWare): 2–3 days.

    • Setting up a physical server: 3–5 days.

  3. Testing and optimization:

    • Setting up Monero CLI: 2 days.

    • Performance monitoring: 1 week.

  4. Conducting the experiment:

    • Main testing phase: 4 weeks.

    • Analysis of results and documentation: 1 week.

Total time to complete the project:

8–10 weeks.

Planned expected effect

The experiment aims to optimize Monero's transaction processing process and explore potential opportunities to reduce costs and improve efficiency. Expected effects:

1. Reduced transaction processing costs

  • Hypothesis testing: High-performance hardware such as multiprocessor servers with Xeon Platinum and GRAID can significantly reduce transaction verification latency and reduce power consumption per operation.

  • Expected result: Reducing energy costs and computational load by up to 20–30% per transaction.

2. Increase Monero Network Bandwidth

  • Scalability check: Peak load performance testing.

  • Expected result: Increase the number of concurrently processed transactions on a node by up to 2-3 times compared to current standards.

3. Increasing network stability

  • Optimization of node operation: The use of high-performance servers allows blocks to be processed faster, which improves the synchronization of nodes and reduces the likelihood of temporary network interruptions.

  • Expected result: Network resistance to overloads and attacks.

4. Economic efficiency of infrastructure

  • Target Audience: Monero miners, node operators and developers.

  • Expected result: Demonstrating that a single powerful node can replace multiple traditional servers, reducing overall infrastructure costs.

5. Creating a basis for further research

  • Data Analysis: The results obtained will become the basis for:

    • Improvements to transaction processing algorithms.

    • Development of optimal architectures for private and public Monero nodes.

  • Long term effect: Promoting innovation in the Monero ecosystem.

Indirect results

  1. Increasing trust in Monero: Improved performance and affordability will attract new users.

  2. Attracting investments: The results of the experiment may be of interest to investors in the field of cryptocurrency infrastructure.

  3. Community stimulation: The research could be a catalyst for new projects aimed at developing the ecosystem.

The experiment is expected to create significant value for the entire Monero network and will be an important step in its technological and economic evolution.

Bibliography

  1. Nakamoto, S. (2008).Bitcoin: A Peer-to-Peer Electronic Cash System.

  2. Monero Research Lab. (2023). Optimizing RandomX for High-Performance Systems.

  3. VMware Documentation. (2024). Best Practices for High-Performance Virtualization.

  4. Intel Corporation. (2023). Xeon Platinum Processors: Performance for the Data Center.

  5. GRADE Technology. (2024). Next-Generation Storage Acceleration for High-Performance Servers.

  6. Van Saberhagen, N. (2013). CryptoNote: Anonymous Crypto-Currencies.

  7. Parker, D. (2023). In-Memory Computing for Blockchain Nodes.

Recommended Videos

  1. "What is Monero? The King of Privacy Coins" – A concise explanation of Monero's privacy features.

  2. "High-Performance Computing in Blockchain" – Overview of HPC systems used in cryptocurrency networks.

  3. "Optimizing Blockchain Nodes with Advanced Hardware" – Technical insights on leveraging high-performance servers.

  4. "In-Memory Blockchain: The Future of Fast Transactions" – Discussion of emerging trends in blockchain technology.

  5. "VMware for Cryptocurrency Applications" – How virtualization platforms are used in blockchain infrastructures.

Hashtag

#Monero #BlockchainTechnology #HighPerformanceComputing #CryptoPrivacy #XeonPlatinum #VMware #GRAID #RandomX #CryptoOptimization #InMemoryComputing #CryptocurrencyInfrastructure #MoneroNodes #DataCenterTech #Decentralization #FutureOfBlockchain

Draft project: https://bit.ly/3WvjP5m


Also: **GRAID Technology Market: Where is the Company Leading?** - Lemmy Today

https://lemmy.today/post/22138320

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