QoS Policy Load Balancing for Secure Resource Selection
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Solution Overview
Problem
Existing load balancers do not enforce Quality of Service (QoS) policies, leading to suboptimal handling of client requests and potential performance and security issues.
Innovation Solution
Implement a method where a load balancer identifies a QoS policy corresponding to a client request and selects a compute resource that meets the specified conditions, using historical data and key performance indicators to ensure optimal handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional load balancers distribute requests without QoS policy enforcement, then request distribution is simple and fast, but service quality and security are compromised
Solution Approach 1:
The system performs preliminary actions by pre-defining QoS policies with specific conditions (CPU usage thresholds, memory thresholds, security protocols, etc.) before request distribution. The load balancer evaluates these pre-established policies against current compute resource states to make informed routing decisions, thereby improving service quality without adding complex real-time analysis logic.
Solution Approach 2:
The patent introduces an intermediary mechanism where QoS policies act as mediators between client requests and compute resources. These policies serve as rule-based intermediaries that filter and guide request routing based on predefined conditions, enhancing reliability while keeping the load balancer's core logic relatively simple through policy-driven decision-making.
2Reliability
If load balancer enforces QoS policies with multiple conditions, then request handling quality improves, but processing time increases
Solution Approach 1:
QoS policies are defined and configured in advance with all necessary conditions (performance thresholds, security requirements, etc.) before runtime. This preliminary configuration allows the load balancer to perform simple condition matching rather than complex real-time analysis, maintaining fast processing while ensuring high request handling quality through pre-validated policy rules.
Solution Approach 2:
The system changes parameters from dynamic real-time analysis to static pre-defined thresholds. By converting complex multi-factor evaluation into comparisons against predetermined parameter thresholds specified in QoS policies, the load balancer achieves both high request handling quality and efficient processing with minimal time loss.
3Adaptability or versatility
If all client requests are treated equally without QoS differentiation, then system operation is simple, but performance and security requirements are not met
Solution Approach 1:
The patent segments client requests into different categories based on QoS policy matching. Each request type can be associated with specific policies that define its service requirements. This segmentation enables the load balancer to apply different routing rules and conditions to different request segments, providing service differentiation while maintaining manageable complexity through structured policy organization.
Solution Approach 2:
The QoS policy mechanism serves multiple functions simultaneously: it performs request classification, routing decision-making, security validation, and performance optimization. This multi-functionality allows the system to achieve comprehensive service differentiation capability through a unified policy framework, avoiding the need for separate complex systems for each function.
Data Source
AI summary
Described are techniques for load balancing using a quality of service policy. The techniques include identifying, in response to receiving a client request at a load balancer that distributes client requests to compute resources located in a computing environment, a quality of service (QoS) policy that corresponds to the client request, where the QoS policy specifies one or more conditions for performing the client request. The techniques further include identifying a set of compute resources that comply with the one or more conditions of the QoS policy, and initiating a selection of a target compute resource from the set of compute resources to send the client request.