What the study found
The study presents a middleware-enforced consistency model called Strict Timed Causal Consistency, or STCC, for Apache Cassandra. It reports that this approach can be used as an external consistency layer for unmodified Cassandra deployments and compared with static consistency levels.
Why the authors say this matters
The authors say Cassandra’s built-in consistency levels are fixed and cannot adapt to changes in workload intensity or network conditions. They conclude that their middleware is meant to support adaptive consistency at runtime and reproducible study of consistency, latency, and energy trade-offs.
What the researchers tested
The researchers built a fully functional, open-source middleware implementing Strict Timed Causal Consistency for Cassandra. They evaluated it against the static levels ALL, QUORUM, and ONE using YCSB workloads on a 24-node Cassandra cluster spread across three data centers, with CPU frequency control and energy monitoring tools.
What worked and what didn't
The abstract says the system was validated on a 24-node cluster and publicly released with documentation. It also states that the framework includes automation for YCSB execution, CPU frequency control, and power monitoring, but it does not report specific comparative performance, energy, or consistency outcomes here.
What to keep in mind
The available summary does not provide detailed numerical results or describe which consistency setting performed best. The abstract also does not state specific limitations of STCC beyond its role as a configurable freshness-bound model.
Key points
- The paper introduces Strict Timed Causal Consistency, a middleware layer for Cassandra.
- The middleware works with unmodified Cassandra deployments.
- The study compares STCC with the static levels ALL, QUORUM, and ONE.
- Testing used YCSB workloads on a 24-node, three-data-center Cassandra cluster.
- The abstract does not give detailed performance or energy results.
Disclosure
- Research title:
- STCC middleware enabled adaptive Cassandra consistency evaluation
- Authors:
- Hesam Nejati sharifaldin, Farnoush Nayebi Pour
- Institutions:
- Islamic Azad University, Mashhad, Islamic Azad University, Mashhad
- Publication date:
- 2026-03-07
- OpenAlex record:
- View
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