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Uploaded by VigilantCopernicium
Chandil Polytechnic School
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This document summarizes data-centric consistency models, explaining how updates are synchronized across nodes in distributed systems to ensure a consistent view for all clients. It also describes different types of consistency, such as strict, sequential, causal, and FIFO, offering varying guarantees and trade-offs depending on application needs and performance.
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Text Summary https://play.google.com/store/apps/details?id=com.aya.textsummarizer - Data-centric consistency models focus on maintaining data integrity in distributed systems, defining how updates are synchronized across nodes to ensure all clients see a consistent view. - Types of data-centric co...
Text Summary https://play.google.com/store/apps/details?id=com.aya.textsummarizer - Data-centric consistency models focus on maintaining data integrity in distributed systems, defining how updates are synchronized across nodes to ensure all clients see a consistent view. - Types of data-centric consistency include strict, sequential, causal, and FIFO consistency, each offering different guarantees and trade-offs based on application needs and performance considerations. - Client-centric models prioritize individual client views, allowing for faster response times and occasional inconsistencies, while data-centric models emphasize global consistency and stronger data guarantees, potentially at the cost of performance.
