Dynamic Application Scope Adjustment for Data Center Load Management
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Data centers face challenges in managing peak usage scenarios, leading to potential request delays or rejections due to insufficient cooling system capacity, resulting in decreased customer satisfaction and increased costs from overcapacity solutions.
Innovation Solution
Implementing a system that measures load parameters and selects between standard and alternative processing methods based on these measurements to reduce resource consumption during peak loads, thereby managing resource usage efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the capacity of data centers is increased to handle more requests, then the ability to handle peak usage is improved, but the cost increases
Solution Approach 1:
The patent applies dynamics by making the application scope adjustable rather than fixed. The system dynamically changes the scope of applications based on real-time load parameters, allowing the data center to adapt its resource consumption profile to match actual demand during peak usage periods without requiring permanent overcapacity infrastructure.
Solution Approach 2:
The patent changes the parameter of application scope from a static configuration to a dynamic variable. By modifying the scope parameters of applications based on load conditions, the system can reduce resource consumption during peak times without sacrificing the ability to handle requests when capacity is available.
2Reliability
If the capacity of data centers is increased to handle more requests, then the ability to handle peak usage is improved, but the efficiency decreases
Solution Approach 1:
The system dynamically adjusts application scope based on real-time load conditions, transitioning from a static capacity model to a dynamic resource allocation model. This allows the data center to maintain high efficiency by only consuming resources when and where needed, rather than maintaining constant overcapacity infrastructure.
Solution Approach 2:
The patent changes the operational parameters of applications dynamically. Instead of running applications at fixed scope regardless of demand, the system modifies scope parameters based on load parameters, achieving both reliability during peak usage and efficiency during normal operation.
3Loss of energy
If requests are rejected during peak usage, then the resource consumption is reduced, but the customer satisfaction decreases
Solution Approach 1:
The system dynamically adjusts application scope to match actual resource availability and demand. During peak usage, instead of simply rejecting requests, the system dynamically reduces the scope of applications to consume fewer resources, allowing more requests to be processed successfully while maintaining customer satisfaction.
Solution Approach 2:
The patent changes the scope parameter of applications based on load conditions. By modifying this parameter dynamically, the system can reduce overall resource consumption during peak times without implementing request rejection, thereby maintaining both resource efficiency and customer satisfaction.
Data Source
AI summary
Various embodiments of systems and methods for application scope adjustment based on resource consumption are described herein. A load parameter of a data center is measured. A request is received at the data center. An implementation variant to process the request is selected based on the measured load parameter and a threshold value of the load parameter. The implementation variant comprises a standard process for processing the received request and an alternative process for processing the received request that reduces the impact on the load parameter compared to the standard process. The received request is processed using the selected implementation variant.