What are the combinations of distributed consistency algorithms and back-end systems?
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Distributed consistency algorithms and back-end systems can be combined in various ways. One approach is to use relaxed consistency models for asynchronous parallel computation, which can improve system performance while still guaranteeing algorithmic correctness . Another approach is to leverage a data storage service, such as a database service, to store and maintain a file system/directory structure for a consistent distributed computing file system (consistent DCFS) . Additionally, a consistency combination algorithm for dynamic decomposition can be used to improve the performance of parallel recognition by allowing data reorganization and using multiple fashions of data distribution . These combinations of distributed consistency algorithms and back-end systems provide solutions for ensuring correctness, improving performance, and maintaining synchronization in distributed computing environments.
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| Papers (4) | Insight |
|---|---|
Open access•Dissertation 01 Jan 2004 9 Citations | The paper does not mention any specific combinations of distributed consistency algorithms and back-end systems. |
| The provided paper does not explicitly mention the combinations of distributed consistency algorithms and back-end systems. The paper focuses on providing consistent data storage in distributed computing systems using a consistent distributed computing file system (consistent DCFS) backed by an object storage service. | |
04 Mar 2008 1 Citations | The provided paper does not mention any combinations of distributed consistency algorithms and back-end systems. |
| The provided paper does not mention any specific combinations of distributed consistency algorithms and back-end systems. |
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