Backup Management System Automating Service Level Agreements
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Solution Overview
Problem
Existing backup systems face challenges in managing diverse user data backup demands, particularly when migrating to new systems with service level agreements, as manual adjustments are complex and time-consuming, leading to difficulties in accommodating changing user requirements and resource management.
Innovation Solution
A method and system that determine backup attributes from historical records to automatically generate and manage backup demands, using statistical data to set threshold ranges and candidate values for start time, end time, backup speed, and other attributes, allowing for efficient resource allocation and reducing manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual adjustments are used to manage backup demands during system migration, then service level agreements can be customized for different users, but the process becomes complex and time-consuming
Solution Approach 1:
The system automatically generates service level agreements by analyzing historical backup operation records and determining data distribution patterns. The backup management system performs self-service by autonomously creating customized SLAs based on historical data without requiring manual intervention for each user, thus maintaining adaptability while reducing management complexity
Solution Approach 2:
The system performs preliminary analysis of historical backup records to determine data distribution characteristics before system migration. By pre-calculating backup attributes and establishing baseline patterns from past operations, the system prepares customized service level agreements in advance, enabling smooth migration while maintaining user-specific requirements
2Adaptability or versatility
If manual adjustments are used to manage backup demands during system migration, then service level agreements can be customized for different users, but the process becomes time-consuming
Solution Approach 1:
The system automatically generates service level agreements by analyzing historical backup operation records and determining data distribution patterns. The backup management system performs self-service by autonomously creating customized SLAs based on historical data without requiring manual intervention for each user, thus maintaining adaptability while reducing management complexity
Solution Approach 2:
The system replaces manual mechanical processes of analyzing historical data and creating service level agreements with automated computational mechanisms. By using algorithms to analyze backup records and generate SLAs automatically, the system eliminates time-consuming manual work while preserving customized service level agreement capabilities
3Adaptability or versatility
If backup operations are performed for multiple users with different demands, then user-specific requirements are met, but the amount of data in the backup system continually increases
Solution Approach 1:
The system determines data distribution characteristics by analyzing historical backup records and uses these parameters to optimize backup operations. By changing backup parameters such as retention periods, backup frequencies, and storage allocation based on determined data distribution patterns, the system accommodates user-specific requirements while controlling overall data volume growth
Solution Approach 2:
The system applies different backup strategies to different users based on their specific demands and historical patterns. By customizing backup attributes for each user according to their local requirements rather than applying a uniform approach, the system efficiently manages data volume while meeting individual user needs
4Volume of stationary object
If data is migrated to a new backup system with larger capacity, then storage requirements are met, but management of backup demands becomes difficult
Solution Approach 1:
The system performs preliminary analysis of historical backup records to determine data distribution characteristics before system migration. By pre-calculating backup attributes and establishing baseline patterns from past operations, the system prepares customized service level agreements in advance, enabling smooth migration while maintaining user-specific requirements and simplifying management of the new larger-capacity system
Data Source
AI summary
The present disclosure relates to a method, device and computer program product for managing a backup system. In a method for managing a backup system, at least one backup attribute of a backup demand on the backup system is determined, the at least one backup attribute describing at least one aspect of a demand on the backup system from a user of the backup system. A plurality of backup records of a plurality of historical backup operations performed on the backup system are obtained, respectively. Data distribution associated with the at least one backup attribute is determined based on the plurality of backup records.


