Snapshot replication

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  • Table of Contents Eager Replication Lazy Replication Components in Replication Distributor Publisher Subscriber Publication Article Subscriptions Agents Snapshot Agent Log Reader Agent Distribution Agent Merge Agent Queue Reader Agent Purpose of Replication Replication in SQL Server Snapshot Replication Transactional Replication Merge Replication Physical Replication Models Publisher/Distributor–Subscriber Model Central Publisher–Multiple

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  • Manufacturing companies deploy sensors in their products to return a stream of telemetry. Sometimes this is used to deliver services like OnStar, that delivers communications, security and navigation services. Perhaps more importantly, this telemetry also reveals usage patterns, failure rates and other opportunities for product improvement that can reduce development and assembly costs. The proliferation of smart phones and other GPS devices offers advertisers an opportunity to target consumers when they are in close proximity to a store, a coffee shop or a restaurant.

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  • In this paper we propose the design of Byzantium, a Byzantine-fault-tolerant database replication middle- ware. Byzantium improves on existing BFT replication for databases both because it has no centralized compo- nents (of whose correctness the integrity of the system depends) and by allowing increased concurrency, which is essential to achieve good performance. The main insight behind our approach is to aim for weaker semantics than traditional BFT replication approaches.

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  • Database systems are a key component behind many of today’s computer systems. As a consequence, it is crucial that database systems provide correct and contin- uous service despite unpredictable circumstances, such as software bugs or attacks. This paper presents the de- sign of Byzantium, a Byzantine fault-tolerant database replication middleware that provides snapshot isolation (SI) semantics. SI is very popular because it allows in- creased concurrency when compared to serializability, while providing similar behavior for typical workloads.

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