Dynamic Service Enablement in Data Managers
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Solution Overview
Problem
Conventional data management products consume excessive computing and storage resources even when not all services are in use, leading to resource waste and increased operating costs, as all services are enabled simultaneously, regardless of usage.
Innovation Solution
A method where a data manager enables specific services only upon request for management operations, allowing for dynamic resource allocation and disabling services after operations are completed, thereby reducing unnecessary resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If all services are enabled simultaneously in a data management product, then services can be used directly when management operations are needed, but computing resources and storage resources are wasted when services are not used
Solution Approach 1:
The system dynamically enables and disables services based on actual usage needs. When a management operation is detected, the corresponding service is enabled; when no operation is needed, the service is disabled. This dynamic adjustment resolves the contradiction by making services available when needed while conserving resources when not in use.
Solution Approach 2:
The system performs preliminary actions by pre-configuring service enablement logic and monitoring mechanisms. When a management operation is detected, the system proactively enables the required service before the operation executes, ensuring service availability without requiring all services to be permanently enabled.
2Ease of operation
If all services are enabled at the same time, then corresponding services may be used directly when management operations need to be performed, but operating cost increases due to continuous resource consumption
Solution Approach 1:
The system implements dynamic service management where services transition between enabled and disabled states based on operational requirements. This eliminates the need to maintain all services in a ready state continuously, thereby reducing operating costs while preserving service readiness when needed.
Solution Approach 2:
The data management product autonomously manages service enablement based on detected management operations. The system monitors its own usage patterns and automatically adjusts service states without external intervention, optimizing the balance between service readiness and operating cost.
3Loss of energy
If services are enabled only when needed, then resource consumption is reduced, but service availability may be compromised
Solution Approach 1:
The system detects management operations and enables the corresponding services proactively before the operations execute. This preliminary enablement ensures that services are accessible when needed while maintaining resource efficiency by keeping services disabled during periods of non-use.
Solution Approach 2:
The system implements a feedback mechanism that monitors management operations and adjusts service states accordingly. When operations are detected, services are enabled; when no operations are present, services are disabled. This closed-loop control maintains service accessibility while optimizing resource efficiency.
Data Source
AI summary
A method, an electronic device, and a computer program product for data management is disclosed. The method includes receiving a request for performing, on data, a first management operation related to a first storage device, the request indicating a type of the data. The method further includes determining a first service associated with the type of the data and enabling the first service to perform the first management operation on the data. Thus, resource consumption of a data manager at runtime may be substantially reduced, which saves resources to reduce operating cost of the data manager, and improves the user experience of users who use the data manager.