Elastic Cloud Storage Fragment Caching for Inter-Zone Transfers
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Solution Overview
Problem
Elastic cloud storage (ECS) systems face inefficiencies in inter-zone data transfers and local cache utilization due to the fixed chunk size approach, leading to high resource utilization costs and low cache efficiency, as they typically transfer and cache entire chunks instead of only the necessary data fragments, which can be inefficient for variable-sized client objects.
Innovation Solution
Implementing a technique that allows for data transfers and caching at the fragment level within fixed-sized chunks, where only the relevant data fragments containing the requested client object are transferred and cached, rather than entire chunks, thereby reducing inter-zone transfers and increasing cache efficiency without complicating capacity management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If entire chunks are transferred and cached in ECS systems, then data consistency and namespace integrity are maintained, but inter-zone transfer sizes and frequencies increase, leading to high resource utilization costs
Solution Approach 1:
The patent segments chunks into smaller data fragments and enables transfer and caching at the fragment level rather than transferring entire chunks. This segmentation allows only the specific fragments containing requested client objects to be transferred, reducing inter-zone transfer sizes and frequencies while maintaining data consistency through proper fragment tracking and reconstruction mechanisms
2Reliability
If entire chunks are cached in local storage, then data availability is improved, but local cache efficiency decreases due to storing unnecessary data
Solution Approach 1:
The patent extracts only the necessary data fragments containing requested client objects from entire chunks and caches them locally. This extraction approach eliminates the waste of caching unnecessary data while ensuring that required data is available locally, thereby improving cache efficiency without compromising data availability
Solution Approach 2:
By segmenting chunks into data fragments and enabling selective caching of individual fragments, the system caches only the specific portions needed for client object retrieval. This increases the amount of relevant data stored in local cache (k-times more) while improving overall cache hit ratios and efficiency
3Ease of manufacture
If fixed chunk size approach is used in ECS, then capacity management is simplified, but inter-zone transfer efficiency decreases for variable-sized client objects
Solution Approach 1:
The patent introduces a two-level segmentation structure: fixed-sized chunks for capacity management and smaller variable-sized data fragments within chunks for efficient transfers. This hierarchy allows the system to maintain simplified capacity management at the chunk level while achieving transfer efficiency at the fragment level by only transferring necessary portions
Solution Approach 2:
The patent applies different characteristics to different levels of the data structure: fixed size at the chunk level for capacity management simplicity, and variable size at the fragment level for transfer efficiency. This local quality differentiation allows each level to optimize for its specific function without compromising the other
Data Source
AI summary
Elastic cloud storage (ECS) systems typically divide storage nodes into geographic or topological zones and implement various concepts that enable the system to be extremely efficient in terms of capacity management. Architectures detailed herein can improve ECS and other similar systems in terms of inter-zone data transfers and remote data caching without violating core concepts of an ECS system that enable efficient capacity management.