Network Stack Stream Shaping for Multi-Application Bandwidth Control
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Solution Overview
Problem
Existing network stacks face challenges in handling multiple types of application data generated by different processes within a single executable software application, particularly in resource-scarce environments, and require scalability and flexibility to manage bandwidth allocation dynamically across diverse networks and devices.
Innovation Solution
A network stack that supports multiple protocols, enforces bandwidth quotas, and manages data streams based on metadata, including stream level flow control and connection level flow control, to ensure efficient transmission of application data across varying network conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If a network stack handles multiple types of application data from different processes, then the system becomes more versatile and capable of supporting diverse applications, but the device complexity increases due to the need for managing multiple data streams and bandwidth allocations
Solution Approach 1:
The network stack segments application data into separate data streams based on application type and process, with each stream receiving dedicated bandwidth allocation and flow control. This segmentation allows independent management of different application data types while maintaining overall system control.
Solution Approach 2:
The network stack implements a universal data stream management framework that can handle multiple application types (voice, video, text, game data) through a single unified architecture. The same flow control mechanisms and bandwidth allocation algorithms apply across all application types, reducing the need for separate management systems.
2Reliability
If the network stack enforces strict bandwidth quotas for each application, then the quality of service for each application is maintained, but the loss of time increases due to data shaping and flow control processing
Solution Approach 1:
The network stack performs preliminary bandwidth allocation and flow control configuration when data streams are established, rather than enforcing strict quotas in real-time. This preliminary setup includes pre-calculating bandwidth shares and preparing flow control mechanisms, allowing data to pass through more quickly once streams are active.
Solution Approach 2:
The network stack applies flow control and bandwidth shaping selectively to critical data streams rather than all data uniformly. Less time-consuming flow control is applied to tolerant applications while stricter control is reserved for time-sensitive streams, optimizing the balance between QoS and processing time.
3Reliability
If the network stack uses stream level flow control for each data stream, then the reliability of data transmission is improved, but the device complexity increases due to the need for metadata processing and stream identification
Solution Approach 1:
The network stack merges stream identification and metadata processing into a single integrated data stream management structure. The same components that handle flow control also manage stream identification, eliminating the need for separate complex subsystems and reducing overall device complexity.
Solution Approach 2:
The network stack uses self-identifying data stream markers and automatic stream classification based on application protocols. This self-service approach reduces the need for complex external stream identification mechanisms and manual metadata processing.
4Productivity
If the network stack dynamically adapts to changing network conditions, then the productivity of data transmission is improved, but the device complexity increases due to the need for real-time bandwidth allocation adjustments
Solution Approach 1:
The network stack implements feedback mechanisms that monitor network conditions and application performance, automatically adjusting bandwidth allocations and flow control parameters. This feedback-driven adaptation allows the system to respond to changing conditions without requiring complex manual reconfiguration.
Solution Approach 2:
The network stack uses dynamic bandwidth allocation that adjusts in real-time based on network conditions and application needs. The flow control mechanisms are designed to be flexible and adaptable, allowing smooth transitions between different bandwidth levels without requiring complete system reconfiguration.
Data Source
AI summary
Implementations described herein relate to methods, systems, and computer-readable media. In some implementations, a method to transmit application data over a network connection may include receiving application data, determining a permitted data rate, shaping the application data received from each application of the plurality of applications based on the permitted data rate for the application into respective shaped application data, adding the shaped application data associated with each application to a queue, assigning the datagrams included in the queue to a particular data stream of a plurality of data streams based on metadata associated with each datagram included in the application data, applying stream level flow control to each data stream of the plurality of data streams to identify a subset of datagrams from the each data stream in the queue, generating a packet for transmission over the connection, and transmitting the packet over the network connection.