Index Processing for Backed-Up Data Using Pattern Detection
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Solution Overview
Problem
The existing methods for creating indexes of backed-up data are inefficient, as the time required to process and create an index grows exponentially with the amount of backed-up information, making it desirable to develop a more efficient technique for indexing.
Innovation Solution
The proposed solution involves determining whether the metadata packets sent during backup are in a pattern or haphazard order, using appropriate algorithms such as sorting and linklists for haphazard orders and arrays for patterned orders to efficiently organize and convert the information into a database format, optimizing the indexing process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If traditional indexing methods are used to process backed-up data, then the index can be created to identify contents for recovery, but the time required to process and create the index grows exponentially with the amount of backed-up information
Solution Approach 1:
The patent segments the indexing process by detecting packet patterns (sequential vs. haphazard) and applying different algorithms to different segments of the data flow. This allows the system to handle large volumes of backup data more efficiently by avoiding unnecessary sorting operations on already-ordered data, thus reducing the exponential time growth problem
Solution Approach 2:
The patent dynamically adapts the indexing algorithm based on the detected packet order pattern. When sequential order is detected, a simpler algorithm is used; when haphazard order is detected, sorting algorithms are applied. This dynamic adaptation optimizes processing time based on the actual data characteristics, addressing the contradiction between processing speed and data volume
2Productivity
If algorithms are applied to organize metadata packets into database format, then the indexing efficiency is improved, but the complexity of the processing system increases
Solution Approach 1:
The system dynamically selects between different algorithms (sequential processing vs. sorting algorithms) based on the detected packet order pattern. This dynamic approach improves productivity by using the most efficient algorithm for each situation while keeping the overall system complexity manageable through conditional logic rather than always using the most complex solution
Solution Approach 2:
The patent changes the processing parameters based on the detected pattern type. For sequential packets, the system uses direct insertion methods; for haphazard packets, it uses sorting methods. This parameter adaptation optimizes indexing efficiency without requiring a completely complex system, as the same framework handles both cases through parameter adjustment
Data Source
AI summary
In an embodiment of the invention, a technique for indexing data is disclosed. The technique comprises receiving packets; counting the received packets; determining whether there is a pattern associated with the received packets; and using a first algorithm if it is determined that there is a pattern.