Data Transfer Control System Bandwidth Demand Management
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Solution Overview
Problem
In edge computing environments, conventional data transfer techniques lack mechanisms to control data transfers for individual categories of data, leading to inefficient bandwidth utilization and potential delays in critical data transfers.
Innovation Solution
The proposed solution involves identifying different categories of data within an application and controlling their transfer based on the identified categories and available network bandwidth, allowing for prioritization and efficient allocation of bandwidth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data transfers are controlled based on category identification and bandwidth demand, then bandwidth utilization efficiency is improved, but system complexity increases
Solution Approach 1:
The patent segments data into different categories (e.g., time-critical data versus non-time-critical data) and applies different transfer control strategies to each category. This segmentation allows the system to prioritize critical data transfers while managing non-critical data based on available bandwidth, thereby improving overall bandwidth utilization efficiency without requiring complete system redesign
Solution Approach 2:
The patent introduces a data transfer control system that acts as an intermediary between data sources and network infrastructure. This intermediary component categorizes data, monitors bandwidth demand, and makes intelligent transfer decisions, adding controlled complexity at the management layer while preserving simplicity in underlying data transfer mechanisms
2Reliability
If critical data transfers are prioritized over non-critical data, then data transfer reliability is improved, but bandwidth allocation complexity increases
Solution Approach 1:
The patent applies different quality attributes to different data categories, with time-critical data receiving high-priority treatment and non-time-critical data receiving standard or low-priority treatment. This local differentiation of quality ensures reliable transfer of critical data while allowing flexible management of non-critical data, avoiding uniform complex allocation rules across all data types
Solution Approach 2:
The patent dynamically changes transfer parameters (such as priority level, bandwidth allocation, and transfer timing) based on data category identification and real-time bandwidth demand assessment. This parameter-based control enables reliable critical data transfer while adapting bandwidth allocation to current system conditions, reducing the need for static complex allocation rules
Data Source
AI summary
Methods, apparatus, and processor-readable storage media for controlling transfer of data based on network bandwidth demand are provided herein. An example method includes obtaining a request to transfer data corresponding to an application by at least one node of a plurality of nodes of a distributed computing system; identifying a category of the data, from among a plurality of categories, to be transferred by the application based on the request; and controlling the transfer of the data based on the identified category, where the controlling includes: causing the at least one node to transfer the data in response to the identified category being a first category of a plurality of categories; and causing the at least one node to at least delay the transfer of the data based on the category being a different category of the plurality of categories and an available network bandwidth of the distributed computing system.