Dynamic Resource Allocation for Cloud Partition Recovery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Cloud computing systems face performance degradation due to abnormal events like hardware or software failures, which require additional computing resources for recovery and diagnostic processes, leading to increased costs and downtime.
Innovation Solution
A resource management module dynamically allocates additional computing resources to affected partitions to enhance processing capacity during abnormal events, such as initial program loads, and adjusts billing statements based on actual usage during these events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If additional computing resources are allocated to partitions during abnormal events, then processing capacity and recovery speed are improved, but system complexity and resource management difficulty increase
Solution Approach 1:
The patent implements dynamic resource allocation by monitoring partition status and automatically adjusting computing resource distribution based on detected abnormal events. The system transitions from static resource allocation to dynamic reallocation, enabling the system to adapt resource capacity according to actual operational conditions and recovery needs.
Solution Approach 2:
The system incorporates feedback mechanisms where the resource management module continuously monitors partition performance and abnormal event status. Based on this feedback, the system automatically adjusts resource allocation decisions, creating a closed-loop control system that optimizes resource distribution without manual intervention.
2Loss of time
If computing resources are increased during abnormal events, then recovery time is reduced, but billing costs increase
Solution Approach 1:
The system performs preliminary actions by pre-defining resource allocation policies and thresholds for abnormal events. When an abnormal event is detected, the system has pre-established protocols for resource reallocation, enabling rapid response without delay for decision-making. This preliminary preparation reduces recovery time while controlling resource expenditure through predefined parameters.
Solution Approach 2:
The patent changes operational parameters by adjusting resource allocation levels based on the severity and type of abnormal events. The system dynamically modifies computing resource parameters (such as CPU cycles, memory allocation, storage access) according to real-time monitoring data, optimizing the balance between recovery speed and resource consumption to minimize billing costs.
3Measurement precision
If real-time monitoring of resource usage is implemented, then billing accuracy is improved, but system complexity and processing overhead increase
Solution Approach 1:
The resource management module performs multiple functions including abnormal event detection, resource allocation, usage monitoring, and billing calculation within a single integrated component. This multi-functional approach eliminates the need for separate monitoring systems, reducing overall system complexity while maintaining accurate real-time tracking of resource consumption for precise billing.
Data Source
AI summary
According to one or more embodiments of the present invention, a computer-implemented method includes allocating a set of computing resources to a first partition from a plurality of partitions in a computer server, and monitoring a usage duration of the set of computing resources by the first partition. The method further includes generating a billing statement based on the usage duration of the computing resources by the first partition. The method further includes detecting an abnormal event in operation of the first partition and adjusting one or more settings of the set of computing resources to increase processing capacity associated with the first partition to complete the abnormal event. The method further includes monitoring a first usage duration of the computing resources during completion of the abnormal event and adjusting the usage duration of based on the first usage duration, and adjusting the billing statement using the adjusted usage duration.