Distributed Deduplication Index for Scalable Storage
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Solution Overview
Problem
Deduplication in clustered computer systems faces performance issues due to increased mediated cross-node operations and communication overhead, which hampers scalability and efficiency in identifying duplicate data portions across a large number of nodes.
Innovation Solution
A distributed deduplication index is implemented, allowing for a global deduplication index to be managed across multiple computing devices, using a multi-layered, partitioned structure that supports high-speed data portion classification and replication, and includes techniques like smart indexing and segmentation to reduce memory footprint and improve search efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a global deduplication index is implemented across multiple nodes, then deduplication capability is improved, but communication overhead and mediated cross-node operations increase
Solution Approach 1:
The global deduplication index is segmented into distributed index portions, with each computing device maintaining a local portion. This segmentation allows devices to perform deduplication checks locally without requiring constant communication with other nodes, thereby reducing communication overhead while maintaining global deduplication capability.
Solution Approach 2:
Each computing device is assigned specific index portions based on data-portion identifier ranges, enabling local quality optimization. Devices can efficiently search their local index portions without querying other nodes, reducing mediated cross-node operations while preserving the ability to identify duplicates across the entire cluster.
2Quantity of substance
If the number of data portions stored increases, then storage capacity is improved, but duplicate identification performance deteriorates
Solution Approach 1:
The index is divided into multiple index portions distributed across computing devices, each handling specific data-portion identifier ranges. This segmentation allows the system to scale storage capacity by adding more devices while maintaining constant-time lookup performance for duplicate identification, as each device independently manages its segment without performance degradation.
3Adaptability or versatility
If a distributed index structure is implemented, then scalability is improved, but system complexity increases
Solution Approach 1:
The distributed index structure segments the global namespace into manageable portions assigned to different computing devices. This segmentation enables linear scalability by simply adding more devices with their own index portions, while each device maintains relatively simple local index management logic, preventing system complexity from becoming unmanageable.
Solution Approach 2:
Instead of having a centralized index that becomes complex as it grows, the system inverts the approach by distributing index portions across multiple devices. Each device manages a simplified local portion, and the collective system achieves the scalability of a large global index without the complexity burden on any single device.
Data Source
AI summary
In some examples, one or more computing devices may perform deduplication of data. For instance, a first device may receive, from a second device, a first data-portion identifier corresponding to a first deduplication data portion. The first device may include a first index portion of a deduplication index and the second device may include a second index portion of the deduplication index. Further, the first data-portion identifier may be received based on a first data-portion identifier portion being in a range of values assigned to the first index portion. The first device may locate, in the first index portion of the deduplication index, a second data-portion identifier that matches the first data-portion identifier. The first device may associate the first reference information for the first deduplication data portion with a second deduplication data portion referenced by reference information associated with the second data-portion identifier.