Hibernation Data Compression Pipeline for SSD Startup
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Solution Overview
Problem
Existing data processing systems face challenges in efficiently managing hibernation procedures due to limited hardware resources, leading to increased power consumption and reduced system uptime.
Innovation Solution
The implementation of a method that involves identifying a portion of high-performance storage for hibernation data, obtaining a compression pipeline to stream compressed data, and updating a lookup table cached in local memory to efficiently manage data storage during hibernation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If hibernation data is stored in traditional storage methods, then storage capacity is sufficient, but storage speed is slow and system uptime is reduced
Solution Approach 1:
The patent pre-allocates a reserved portion of high-performance storage space specifically for hibernation data before the hibernation procedure begins. This preliminary preparation eliminates the need for dynamic storage allocation during hibernation, enabling faster data writing by directly streaming compressed hibernation data to the pre-designated high-performance storage location without intermediate processing or allocation delays.
2Productivity
If hardware resources are increased to improve hibernation performance, then processing speed increases, but power consumption increases
Solution Approach 1:
The patent applies compression to hibernation data before storing it in the reserved high-performance storage space. By changing the data parameter from uncompressed to compressed format, the system reduces the volume of data that needs to be transferred and stored, thereby decreasing the computational resources and power consumption required for the hibernation procedure while maintaining or improving overall efficiency.
3Quantity of substance
If data is compressed during hibernation, then storage efficiency improves, but processing complexity increases
Solution Approach 1:
The patent introduces a compression pipeline as an intermediary component between the hibernation data generation and the storage process. This compression pipeline acts as a mediator that automatically compresses the hibernation data using reserved compression space, simplifying the overall process by encapsulating the complexity within a dedicated intermediate layer while maintaining efficient data reduction and storage.
Data Source
AI summary
Methods, systems, and devices for providing computer implemented services are disclosed. To provide the computer implemented services while managing limited hardware resources necessary to provide the services, a hibernation may be performed. To do so, a hibernation manager may facilitate management and storage of hibernation data for use during hibernation and startup of a system. To manage and store the hibernation data, the hibernation manager may identify an allocation of high-performance storage for the hibernation data, obtain a compression pipeline based on the allocation, and stream the hibernation data through the compression pipeline. By doing so, the speed in which the hibernation data is written and read may be increased. Thus, hibernation and startup of the system may be enhanced.