Popular LSM-tree based key-value stores suffer from suboptimal and unpredictable
performance due to write amplification and write stalls that cause application performance to …

Multi-stage log-structured (MSLS) designs, such as LevelDB, RocksDB, HBase, and
Cassandra, are a family of storage system designs that exploit the high sequential write …

Timeseries management systems have attracted considerable attention during the last
decade with the rise of IoT and performance monitoring. With the rapidly increasing data …

Leveraging a distributed key-value based caching layer has proven to be invaluable for
scalable data-intensive web applications. With the emergence of high-performance storage …

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 …

High-velocity data imposes high durability overheads on Big Data technology components
such as NoSQL data stores. In Apache Cassandra and MongoDB, widely used NoSQL …

A compaction policy imposing soft limits to optimize system efficiency is used to select
various rowsets on which to perform compaction, each rowset storing keys within an interval …

Key-value stores based on Log-Structured Merge Tree (LSM-tree) arewidely used in various
big data storage scenarios. The performance bottleneck mainly comes from the compaction …

Data-intensive systems are a critical building block for today??? s large-scale Internet
services. These systems have enabled high throughput and capacity, reaching billions of …

OPTIMIZING NOSQL DATABASES THROUGH COHERENTLY ATTACHED FLASH
DISSERTATION Submitted in partial fulfillment of the requirements f Page 1 OPTIMIZING NOSQL …