Paper Info
Title
CAPI-Flash Accelerated Persistent Read Cache for Apache Cassandra
Abstract
In real-world NoSQL deployments, users have to trade off CPU, memory, I/O bandwidth and storage space to achieve the required performance and efficiency goals. Data compression is a vital component to improve storage space efficiency, but reading compressed data increases response time. Therefore, compressed data stores rely heavily on using the memory as a cache to speed up read operations. However, as large DRAM capacity is expensive, NoSQL databases have become costly to deploy and hard to scale. In our work, we present a persistent caching mechanism for Apache Cassandra on a high-throughput, low-latency FPGA-based NVMe Flash accelerator (CAPI-Flash), replacing Cassandra's in-memory cache. Because flash is dramatically less expensive per byte than DRAM, our caching mechanism provides Apache Cassandra with access to a large caching layer at lower cost. The experimental results show that for read-intensive workloads, our caching layer provides up to 85% improved throughput and also reduces CPU usage by 25% compared to default Cassandra.
Year
DOI
Venue
2018
10.1109/CLOUD.2018.00035
2018 IEEE 11th International Conference on Cloud Computing (CLOUD)
Keywords
Field
DocType
Apache Cassandra,NoSQL Databases,CAPI Flash,Persistent Caching,Flash Storage,Nvme Flash,Power Systems,Cloud Computing,Distributed Databases,Read Cache,High Throughput Caching,Storage Accelerators,High performance Caching,CAPI,Solid State Drives,High Performance Computing
Dram,CPU time,Cache,Computer science,NVM Express,Non-volatile memory,NoSQL,Throughput,Operating system,Benchmark (computing),Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-7236-5
0
0.34
References 
Authors
7
4
Name
Order
Citations
PageRank
Bedri Sendir1122.38
Madhusudhan Govindaraju285496.53
Rei Odaira3846.77
H. P. Hofstee450754.92