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A Transparent Future for Digital Services

In the digital future of augmented reality, the Metaverse, and high-speed internet interconnectivity, a wide range of online services will require multiple layers, each provided by different companies—forming a composite service. This complexity can leave consumers uncertain about which party is responsible for substandard performance.

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Porject Overview

Alis Grave Nil is dedicated to advancing the 6G and AR/Metaverse industry through innovative solutions that address the critical need for performance transparency and dispute resolution. The app, we intend to build on the Prosperancy Protocol, will offer real-time performance monitoring, detailed data analysis, and efficient dispute resolution tools. By empowering users and service providers, we aim to create a transparent and accountable ecosystem that fosters trust and innovation. Our collaboration with the 6G Sandbox consortium has been instrumental in achieving our goals, and we are committed to further developing our solution to meet the highest standards of performance and reliability. With a distinct competitive advantage, versatile hybrid business model and a clear path to market, we are poised to make a significant impact in the industry.

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the Prosperancy Protocol

The Prosperancy Protocol is an open-source protocol designed to enhance performance transparency and facilitate dispute resolution in the AR/Metaverse industry. The app is going to integrate this protocol to provide real-time warnings and detailed performance reports, helping users identify issues related to internet speed and third-party services. Key features include:

  • Real-time Performance Monitoring: Alerts users to potential issues affecting AR/Metaverse services.

  • Data Storage: Saves performance data separately, allowing for detailed analysis and fault assignment.

  • Dispute Resolution: Provides tools for quick out-of-court settlements, leveraging stored data to resolve consumer disputes efficiently.

  • User Empowerment: Enables small AR service providers to maintain high service standards and protect their reputation.

By embedding the Prosperancy Protocol, the app is going to aim at creating a transparent and accountable ecosystem, fostering trust and innovation within the 6G and AR/Metaverse industry.

Data Flow Schematics

The schematic showcases the flow of data, starting from web resources accessed by user devices, all the way to the final analysis and compilation of experimental results. It emphasizes the interactions between user devices, the Prosperancy Tool, and the ZABBIX server to monitor and track quality metrics.

Data Flow Process

  1. Data Collection from Web Resources - User devices retrieve data from various web resources.

  2. Processing by the Prosperancy Tool - The data gathered on user devices is sent to the Prosperancy Tool, which plays a pivotal role in optimizing and monitoring performance.

  3. Transfer to ZABBIX Server - The Prosperancy Tool transmits the collected data to the ZABBIX server, a system used for real-time monitoring and analysis.

  4. Data Tracking in ZABBIX - Within the ZABBIX server, the data is further tracked, with insights being generated based on metrics like latency and performance.

  5. Measurement Reporting - The Prosperancy Tool provides detailed measurements derived from the collected data, highlighting quality issues.

  6. Data Observation - Observations are documented, and logs are created to record the outcomes.

  7. Compilation of Results - Finally, the observations and logs are consolidated into a protocol summarizing the experimental results.

The Prosperancy Tool Demo

 The Prosperency Tool –  Step By Step Process

 

 

 

 

 

 

 

 

Step-by-step process

The Prosperancy tool has the objective to support dispute resolution by tracking a service latency with the device of the user and comparing it with the latency detected in a VM within a data centre with high internet speed.  

 

The Tool is at TRL 6 and is currently accessible for internal needs of the company and used in some limited cases such as demonstrations and as part of our dissemination activities.

 

The core concept is that the user is adding assets that will be followed. The asset is a web resource – most notably a webpage that is accessed with a browser. Currently the tool is designed to follow only assets that are accessed through one of the most common browsers (e.g. Chrome, Mozilla). 

  

1. Asset Creation:

  • Purpose: The initial step involves defining and registering the specific webpage or resource that the tool will monitor.

  • Process:

    • The user provides a descriptive name for the asset (e.g., "Bulgarian Movies Library").



       

 

 

 

 

 

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Tool Interface

 

  • The user enters the URL of the webpage (the asset itself) into the tool
















     

 

Asset followed

  • Outcome:

    • The tool establishes a connection or "pathway" between the user's device and the external server hosting the webpage. This pathway is crucial for real-time data collection and analysis.

2. User Interaction & Data Collection:

  • Monitoring:
    The tool continuously monitors the webpage as long as the user has a tab open for that web page in their browser.Latency of the browser vs latency of the server






     
















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  • Data Extraction: The tool automatically extracts relevant data points related to network performance, such as:

    • Latency: The time it takes for data to travel between the user's device and:

      • The webpage server (green line)

      • The external server (blue line)

  • Data Visualization: The tool presents the extracted data in a clear and concise format, such as line graphs, to visually represent latency fluctuations over time.
     

3. Data Analysis & Interpretation:

  • Dual-Scale Visualization: The tool employs separate scales for the green (device-to-webpage) and blue (webpage-to-external server) latency lines. This approach allows for effective comparison and analysis, even when latency variations between the two are significant. 




 

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Visualization

  • Pattern Identification: Users can easily identify patterns in latency behavior, such as periods of high or low latency, sudden drops, or consistent delays.

  • Interpretation of the Results: 

    • If browser speed is above 90 ms there is an issue for the network of the user 

    • If browser and server speed BOTH are above 90 ms there is an issue for the service provider and dispute resolution is triggered. 

  • Performance Assessment: In the case of the Bulgarian Movies Library, the data analysis reveals:

    • No significant divergence between device-to-web page and web page-to-external server latency.

    • Uninterrupted service with good quality throughout the monitoring period.


       

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ul. "Tsar Kaloyan" 66, 8000, Burgas, Bulgaria

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