Dynamic Weighted Interference Scores for Client Placement
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Solution Overview
Problem
Current client placement strategies in cloud computing do not effectively optimize for conflicting goals such as resource utilization, performance, and service level agreements, leading to suboptimal application performance and resource management decisions.
Innovation Solution
A management server and method that utilize interference scores and continuously variable weights to generate weighted resource utilization values, which are used to calculate overall selection scores for host computers, recommending an optimal target host for client placement or migration.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current client placement strategies are used, then resource utilization can be maintained, but application performance and service level agreements deteriorate
Solution Approach 1:
The patent transforms static resource utilization parameters into dynamic interference scores that continuously change based on workload characteristics. By calculating interference scores from multiple resource metrics (CPU, memory, storage, network) and adjusting placement decisions based on these dynamic parameters, the system simultaneously optimizes both service level agreement compliance and application performance
Solution Approach 2:
The patent creates a composite evaluation metric by combining multiple resource utilization parameters into a unified interference score. This composite score integrates CPU utilization, memory pressure, storage I/O, network bandwidth, and other factors into a single metric that guides placement decisions, enabling simultaneous optimization of multiple competing objectives
2Loss of energy
If workload consolidation is increased, then infrastructure and energy costs are reduced, but isolation and quality of service deteriorate
Solution Approach 1:
The patent applies different placement strategies to different workloads based on their specific interference characteristics. By calculating unique interference scores for each workload combination and applying localized placement decisions rather than uniform consolidation, the system achieves energy efficiency while maintaining quality of service isolation where needed
Solution Approach 2:
The system continuously monitors resource utilization and interference patterns, using this feedback to dynamically adjust placement decisions. By incorporating real-time feedback loops that measure actual interference and adjust consolidation strategies accordingly, the system maintains quality of service while optimizing energy consumption
3Ease of operation
If static resource parameters are used for placement decisions, then decision-making is simplified, but optimization of conflicting goals deteriorates
Solution Approach 1:
The patent implements self-service through automated interference score calculation and placement optimization. The system automatically computes interference scores from multiple resource metrics and makes placement decisions without manual intervention, maintaining operational simplicity while achieving sophisticated multi-objective optimization
Data Source
AI summary
A management server and method for performing resource management operations in a distributed computer system utilizes interference scores for clients executing different workloads, including a client to be placed in the distributed computer system, as utilization values of resources, which are assigned continuously variable weights to produce weighted resource utilization values. The weighted resource utilization values are used to generate overall selection scores for host computers of the distributed compute system, which are then used to recommend a target host computer among the host computers of the distributed computer system to place the client.