Dynamic Network Bandwidth Allocation for Genomic Data Transfer
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Solution Overview
Problem
High-performance computing systems face inefficiencies in data storage and transfer due to inefficient utilization of network resources, leading to performance lags in handling large datasets such as genomics data, meteorological data, and machine learning applications.
Innovation Solution
A method involving a computing system that dynamically adjusts network bandwidth by requesting modifications from a first to a second amount to facilitate efficient transfer of patient data and metadata between local and remote repositories, allowing for analysis of genomic information and determining characteristics like genomic mutations and treatment recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If network bandwidth is increased to improve data transfer speed, then data transfer efficiency is improved, but network resource utilization becomes inefficient when high bandwidth is not needed
Solution Approach 1:
The system dynamically adjusts network bandwidth allocation based on real-time data transfer requirements. The computing system monitors data transfer operations and automatically requests bandwidth modifications from the network provider, transitioning from static to dynamic bandwidth management. This resolves the contradiction by ensuring high bandwidth is available only when needed for large data transfers, not continuously.
Solution Approach 2:
The system changes the bandwidth parameter of the network connection based on operational needs. When large datasets need to be transferred between data repositories, the system requests an increase in bandwidth allocation. When transfers are complete or not occurring, the bandwidth is reduced to baseline levels. This parameter adjustment resolves the contradiction between maintaining high transfer speeds and avoiding resource waste.
2Ease of operation
If large amounts of data are transferred between data repositories, then data accessibility is improved, but network performance lag increases
Solution Approach 1:
The system performs preliminary bandwidth allocation before initiating large data transfers. When a data transfer operation is detected or requested, the computing system proactively requests increased bandwidth from the network provider before the actual data transfer begins. This preliminary action ensures that when data transfer starts, the necessary network resources are already in place, preventing performance lag and improving overall data accessibility.
Solution Approach 2:
The system implements a feedback mechanism where the computing system monitors data transfer operations and automatically communicates bandwidth requirements to the network provider. After data transfers are complete, the system feedbacks to reduce bandwidth allocation back to baseline levels. This closed-loop feedback system ensures bandwidth is optimized for data accessibility while minimizing unnecessary resource consumption that causes performance lag.
Data Source
AI summary
A network bandwidth architecture controls data transfers between a life science service provider, a local network data repository, and a remote data repository. The data transfers may include patient data and patient metadata that are analyzed by a bioinformatics system of the life science service provider.