End-to-End QoS Path Control Through Resource Load Feedback
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Solution Overview
Problem
Current QoS algorithms in distributed processing environments are either too relaxed or too conservative, leading to inefficient resource utilization and failure to meet application-specific performance requirements.
Innovation Solution
Implementing real-time resource monitoring and QoS management by establishing communication of registration requests between end-points to monitor and adjust resource utilization based on threshold requirements, ensuring maximum resource utilization without compromising QoS.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If resources are shared between applications to achieve high performance at reasonable cost, then resource utilization efficiency is improved, but quality of service requirements for each application cannot be guaranteed
Solution Approach 1:
The system dynamically adjusts resource allocation based on real-time monitoring of resource loads and application QoS requirements. The QoS manager continuously adapts the degree of resource sharing between applications, transitioning from static to dynamic control to balance efficiency and service quality guarantees
Solution Approach 2:
The system implements a feedback mechanism where the QoS manager monitors resource load information from multiple applications and uses this feedback to adjust resource sharing policies. The monitoring component provides continuous status updates, enabling the system to respond to changing conditions and maintain QoS requirements while optimizing resource utilization
2Reliability
If QoS algorithms are set to be too conservative to guarantee service requirements, then quality of service is maintained, but resource utilization becomes inefficient
Solution Approach 1:
The QoS management system transitions from conservative static allocation to dynamic adjustment based on actual resource availability and application needs. The system monitors resource loads in real-time and adjusts the degree of resource sharing accordingly, allowing aggressive resource utilization when conditions permit while maintaining QoS guarantees when necessary
3Productivity
If QoS algorithms are set to be too relaxed to allow high resource utilization, then resource efficiency is improved, but application performance requirements are not met
Solution Approach 1:
The system uses real-time feedback from resource monitoring to adjust QoS enforcement levels. When resource loads indicate sufficient capacity, the system allows more aggressive resource sharing to improve utilization. When monitoring detects resource contention or QoS violations, the system tightens control to protect application performance requirements
Data Source
AI summary
Embodiments may be generally directed to techniques to cause communication of a registration request between a first end-point and a second end-point of an end-to-end path, the registration request to establish resource load monitoring for one or more resources of the end-to-end path, receive one or more acknowledgements indicating resource loads for each of the one or more resources of the end-to-end path, at least one of the acknowledgements to indicate a resource of the one or more resources is not meeting a threshold requirement for the end-to-end path, and perform an action for communication traffic utilizing the one or more resources based on the acknowledgement.


