StreaMon_ A Data-Plane Programming Abstraction For Software-Defined Stream Monitoring (3).pptx

StreaMon is a data-plane programming abstraction designed for software-defined stream monitoring.

1. StreaMon: A Data-Plane Programming Abstraction For Software-Defined Stream Monitoring ECE-A

2. Introduction to StreaMon StreaMon is a data-plane programming abstraction designed for software-defined stream monitoring. It enables flexible and efficient processing of network data streams. StreaMon allows for real-time monitoring and analysis of network traffic.

3. Key Features of StreaMon Programmable data-plane processing for customized monitoring tasks. Support for high-speed packet processing on commodity hardware. Simplified development of monitoring applications through a high-level abstraction.

4. Benefits of Using StreaMon Improved scalability and performance compared to traditional monitoring solutions. Enables dynamic adaptation to changing network conditions. Facilitates rapid deployment of new monitoring functionalities.

5. Architecture of StreaMon Consists of a control plane for configuring monitoring tasks and a data plane for processing packets. Utilizes a pipeline-based processing model for efficient data handling. Supports the integration of custom monitoring modules.

6. Programming Model of StreaMon Offers a set of high-level abstractions for defining monitoring tasks. Allows developers to specify packet processing logic using a declarative language. Enables the composition of complex monitoring pipelines.

7. Use Cases for StreaMon Network traffic analysis for security monitoring and threat detection. Quality of service monitoring for ensuring optimal performance. Real-time anomaly detection for early identification of network issues.

8. Performance Evaluation of StreaMon Demonstrates high throughput and low latency for stream monitoring tasks. Scalability tests show efficient utilization of hardware resources. Comparison with existing monitoring solutions highlights the advantages of StreaMon.

9. Deployment Considerations for StreaMon Compatibility with standard networking protocols and frameworks. Integration with existing monitoring infrastructure. Requirements for hardware acceleration and packet processing capabilities.

10. Future Directions for StreaMon Enhancements for supporting emerging network technologies such as 5G and IoT. Integration with machine learning algorithms for advanced analytics. Expansion of monitoring capabilities for cloud and edge computing environments.

11. Conclusion StreaMon offers a powerful data-plane programming abstraction for software-defined stream monitoring. It provides flexibility, performance, and scalability for monitoring network traffic. By leveraging StreaMon, organizations can enhance their network monitoring capabilities and adapt to evolving networking requirements.