Timeliness via speculation for real-time databases

Azer Bestavros, Spyridon Braoudakis
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引用次数: 67

Abstract

Various concurrency control algorithms differ in the time when conflicts are detected, and in the way they are resolved. Pessimistic (PCC) protocols detect conflicts as soon as they occur and resolve them using blocking. Optimistic (OCC) protocols detect conflicts at transaction commit time and resolve them using rollbacks. For real-time databases, blockages and rollbacks are hazards that increase the likelihood of transactions missing their deadlines. We propose a Speculative Concurrency Control (SCC) technique that minimizes the impact of block ages and rollbacks. SCC relies on added system resources to speculate on potential serialization orders, ensuring that if such serialization orders materialize, the hazards of blockages and roll-back are minimized. We present a number of SCC-based algorithms that differ in the level of speculation they introduce, and the amount of System resources (mainly memory) they require. We show the performance gains (in terms of number of satisfied timing constraints) to be expected when a representative SCC algorithm (SCC-2S) is adopted.<>
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实时数据库的时效性
各种并发控制算法在检测冲突的时间和解决冲突的方式上有所不同。悲观(PCC)协议在冲突发生时立即检测并使用阻塞解决冲突。乐观(OCC)协议在事务提交时检测冲突,并使用回滚解决冲突。对于实时数据库,阻塞和回滚是增加事务错过截止日期的可能性的危险。我们提出了一种推测性并发控制(SCC)技术,可以最大限度地减少块年龄和回滚的影响。SCC依赖于附加的系统资源来推测潜在的序列化命令,确保如果这种序列化命令实现,阻塞和回滚的危险将被最小化。我们提出了许多基于sc的算法,这些算法在它们引入的推测水平和它们所需的系统资源(主要是内存)数量上有所不同。我们展示了当采用具有代表性的SCC算法(SCC- 2s)时预期的性能增益(根据满足的时间约束的数量)。
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