Binary Object Identification via Input Signature
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Solution Overview
Problem
Existing information processing systems lack efficient techniques for identifying binary objects generated from a set of input items, leading to unnecessary generation and upload/download of binary objects when the same input items have already been used.
Innovation Solution
A method involving obtaining input items, generating a signature of these items, transforming them into a binary object, associating the signature with the binary object, and storing it in a repository. This signature can be used to determine if the binary object has already been generated from the same input items, thereby avoiding redundant generation or transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If binary objects are generated from input items without signature-based identification, then binary objects can be created and stored, but redundant generation and upload/download occur when the same input items are used again
Solution Approach 1:
The system performs preliminary action by generating a signature from the input items before actually generating the binary object. This signature is stored and later used to quickly determine whether the binary object needs to be regenerated or can be retrieved from storage, preventing redundant generation and transfer operations.
Solution Approach 2:
Instead of always generating the complete binary object from scratch, the system creates a simplified copy (the signature) of the input items' identifying characteristics. This signature copy is stored and used for identification purposes, allowing the system to avoid regenerating the full binary object when the same input items are used again.
2Loss of time
If signatures are generated and associated with binary objects, then redundant generation can be avoided, but additional processing steps are introduced
Solution Approach 1:
The system extracts only the essential identifying information from the input items to create the signature. By taking out only the necessary characteristics (such as hashes of input file contents), the system avoids the complexity of processing the entire binary object while still achieving effective identification and avoiding redundant generation.
3Reliability
If the signature is associated with the binary object through metadata or file properties, then identification is enabled, but storage requirements and processing overhead increase
Solution Approach 1:
The signature serves as a cheap, lightweight identifier that can be easily generated and stored. Rather than storing the complete binary object or complex metadata, the system uses a concise signature (such as a hash value) that provides reliable identification with minimal storage requirements and processing overhead.
Data Source
AI summary
Techniques are provided for identifying a binary object using a signature of the input items used to create the binary object. One method comprises obtaining one or more input items; generating a signature of the one or more input items; transforming the one or more input items to generate a binary object; associating the signature with the binary object; and providing the binary object with the associated signature to a repository, wherein the signature is processed to evaluate the one or more input items used to create the binary object. The signature can be compared to an additional signature of one or more additional input items to determine whether transform the one or more additional input items to generate an additional binary object. The signature can be included in, for example, metadata embedded in the binary object, file properties associated with the binary object and/or a file name or tag of the binary object.