Load-Aware Resource Allocation for Computing Network Synchronization
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Solution Overview
Problem
There is a need to improve the speed and efficiency of synchronizing computing device users and their timing data in complex computing networks, as well as enhance network communication and access control to database records.
Innovation Solution
A computing system that utilizes a resource allocator to manage computing operations based on network load, user connections, and resource demands, incorporating geolocation, graphical processing, and resource allocation to optimize synchronization and access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a resource allocator is implemented to manage computing operations based on network load and resource demands, then resource utilization efficiency is improved, but device complexity increases
Solution Approach 1:
A resource allocator component is introduced as an intermediary between computing devices and network resources. This mediator monitors network load, user connections, and resource demands, then intelligently allocates computing operations to appropriate devices, resolving the contradiction by centralizing control logic in a dedicated component rather than distributing complexity across the entire system
Solution Approach 2:
The resource allocator implements continuous feedback mechanisms by monitoring network load conditions, user connection states, and resource demand metrics. Based on this feedback, the allocator dynamically adjusts computing operation distribution, enabling efficient resource utilization while maintaining manageable system complexity through closed-loop control
2Loss of time
If geolocation and graphical processing are incorporated to optimize synchronization, then synchronization efficiency is improved, but device complexity increases
Solution Approach 1:
The system performs preliminary geolocation and graphical processing operations in advance of actual synchronization needs. By pre-processing location data and graphical elements, the system reduces real-time synchronization time while containing complexity in offline preparation stages rather than during critical synchronization moments
Solution Approach 2:
The synchronization process is segmented into distinct components: geolocation processing, graphical processing, and data synchronization. Each segment handles specific tasks independently, allowing optimization of each function without proportionally increasing overall system complexity, as segments can be developed and maintained separately
3Reliability
If access control to database records is enhanced, then data security is improved, but network communication speed decreases
Solution Approach 1:
Access control permissions and authentication credentials are established in advance before data access requests occur. By pre-configuring security policies and authentication mechanisms, the system enables rapid access decisions without sacrificing security, as the complex security logic is resolved beforehand rather than during each access operation
Solution Approach 2:
The system creates and manages copies of authentication credentials and access tokens that can be rapidly verified without requiring repeated complex authentication sequences. These cryptographic copies enable fast access control decisions while maintaining security, as the verification process operates on simplified token copies rather than requiring full authentication rituals for each access request
Data Source
AI summary
This disclosure is directed to intelligent synchronization of computing users, and associated timing data, based on parameters or data received from computing systems connected via wireless, satellite, wire-based, optical-fiber based, etc., computing networks. In some embodiments, a method comprises adjusting, using a resource allocator, one or more computing operations executable in the computing network, based on at least one of: a computing load associated with the computing network, an available storage or memory associated with the computing network, a number or type of users associated with the computing network or online on the computing network, or a number or type of operations being executed or to be executed by the computing network.