Journal of Systems and Software
Power- and time-aware buffer cache management for real-time embedded databases
Journal of Systems Architecture: the EUROMICRO Journal
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It is challenging to process transactions in a timely fashion using fresh data, e.g., current stock prices, since database workloads may considerably vary due to dynamic data/resource contention. Further, transac- tion timeliness and data freshness requirements may compete for system resources. In this paper, we pro- pose a novel feedback control model to support the de- sired data service delay by managing the size of the ready queue, which indicates the amount of the backlog in the database. We also propose a new self-adaptive update policy to adapt the freshness of cold data in a differentiated manner based on temporal data ac- cess and update patterns. Unlike most existing work on feedback control of real-time database (RTDB) per- formance, we actually implement and evaluate feed- back control and database workload adaptation tech- niques in a real database testbed modeling stock trades. For performance evaluation, we undertake experiments in the testbed, which consists of thousands of client threads concurrently requesting database services for stock quotes, trades, and portfolio updates in a bursty manner. In these experiments, our database system supports the desired response time bound and data freshness, while processing a significantly larger number of transactions in time compared to the tested baselines.