Portable Document Download Prioritization and Bandwidth Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional technologies for downloading portable documents are inefficient as they download document structures sequentially, requiring users to wait for completion, lack prioritization, and fail to coordinate bandwidth usage effectively when multiple documents are open, leading to suboptimal responsiveness and prolonged download times.
Innovation Solution
A portable document downloading process that optimizes performance by pre-fetching document structures based on connection speed, server bandwidth, and user interaction, selectively pausing downloads to allocate full bandwidth to immediate needs, and prioritizing downloads based on user focus, using heuristics to decide between full document download or byte range requests.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If document structures are downloaded sequentially as needed, then download completion is ensured, but user responsiveness is degraded due to waiting times
Solution Approach 1:
The system performs preliminary actions by pre-fetching document structures before they are actually needed. When resources are available, the system proactively downloads document structures in advance, storing them in cache so that when a user requests a document, the structures are already available or nearly available, significantly reducing user waiting time while ensuring download completion through coordinated resource management.
2Loss of time
If pre-fetching is performed when resources are available, then future responsiveness is improved, but current bandwidth is consumed reducing immediate download speed
Solution Approach 1:
The system dynamically adjusts pre-fetching behavior based on current resource availability. It continuously monitors bandwidth, cache state, and active downloads, adapting the pre-fetching rate in real-time. When bandwidth is abundant, pre-fetching intensifies to prepare for future needs; when bandwidth is constrained, pre-fetching throttles to preserve immediate download speed, creating a dynamic balance between future responsiveness and current performance.
Solution Approach 2:
The system changes operational parameters based on system state. It adjusts pre-fetching priority, download thread counts, and cache allocation dynamically based on available bandwidth, memory capacity, and current user activity. This parameter adaptation allows the system to optimize the trade-off between pre-fetching benefits and immediate download performance under varying conditions.
3Reliability
If downloads are not interrupted until completion, then download reliability is maintained, but responsiveness to new requests is degraded
Solution Approach 1:
The system segments downloads into independent, manageable units that can be individually controlled and prioritized. Each document structure download is treated as a separate task with its own priority level, allowing the system to interrupt lower-priority downloads in favor of higher-priority ones. This segmentation enables reliable download completion while maintaining responsiveness to new user requests through flexible task scheduling.
Solution Approach 2:
The system implements feedback mechanisms that continuously monitor download progress, resource availability, and user activity. Based on this feedback, it dynamically adjusts download priorities and can interrupt or resume downloads as needed. This feedback loop ensures that downloads complete reliably while the system remains responsive to changing user needs and system conditions.
4Device complexity
If crude methods based on file size and bandwidth are used for download decisions, then implementation simplicity is maintained, but coordination of multiple document downloads is insufficient
Solution Approach 1:
The system employs self-service mechanisms where the download manager autonomously makes intelligent decisions about resource allocation, prioritization, and coordination without requiring complex external control. It automatically monitors system state, predicts future needs, and adjusts download strategies accordingly. This self-service approach achieves high coordination efficiency for multiple document downloads while keeping the implementation relatively simple by leveraging automated decision-making algorithms.
Data Source
AI summary
One disclosed method includes the steps of initiating a download of a first document by a computer system, the first document having a plurality of parts according to a first predefined format; initiating a download of a second document by the computer system, the second document having a plurality of parts according to a second predefined format; determining a download priority of at least one of the plurality of parts of the first document by the computer system based at least in part on the predefined format of the first document; downloading the at least one of the plurality of parts of the first document according to the download priority; determining whether to suspend the download of the second document based on a state of a resource available to the computer system and the download priority; and suspending the download of the second document.