Resource management in a cloud environment is a hard problem, due to: the scale of
modern data centers; the heterogeneity of resource types and their interdependencies; the …

The traditional databases are not capable of handling unstructured data and high volumes
of real-time datasets. Diverse datasets are unstructured lead to big data, and it is laborious …

Internet of Things (IoT) has been growing rapidly due to recent advancements in
communications and sensor technologies. Meanwhile, with this revolutionary transformation …

We live in an increasingly interconnected world, with many organizations operating across
countries or even continents. To serve their global user base, organizations are replacing …

We present WiscKey, a persistent LSM-tree-based key-value store with a performance-
oriented data layout that separates keys from values to minimize I/O amplification. The …

Data is at the center of many challenges in system design today. Difficult issues need to be
figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In …

Hybrid memory systems consisting of DRAM and Non-Volatile Memory are promising to
persist data fast. The index design of existing key-value stores for hybrid memory fails to …

A/B testing, also known as bucket testing, split testing, or controlled experiment, is a
standard way to evaluate user engagement or satisfaction from a new service, feature, or …

Achieving predictable performance is critical for many distributed applications, yet difficult to
achieve due to many factors that skew the tail of the latency distribution even in well …

For over forty years, relational databases have been the leading model for data storage,
retrieval and management. However, due to increasing needs for scalability and …