Within the last few years, a countless number of blockchain systems have emerged on the
market, each one claiming to revolutionize the way of distributed transaction processing in …

Many datacenters and clouds manage storage systems separately from computing services
for better manageability and resource utilization. These existing disaggregated storage …

In-memory databases (IMDBs) store all working data in the main memory, making memory
access the dominant factor in system performance. Moreover, for modern multi-version …

© 2020, VLDB Endowment. Deterministic databases are able to efficiently run transactions
across different replicas without coordination. However, existing state-of-the-art deterministic …

Serverless computing separates function execution from state management. Simple retry-
based fault tolerance might corrupt the shared state with duplicate updates. Existing …

Serverless computing has grown in popularity in recent years, with an increasing number of
applications being built on Functions-as-a-Service (FaaS) platforms. By default, FaaS …

TPC-H continues to be the most widely used benchmark for relational OLAP systems. It
poses a number of challenges, also known as" choke points", which database systems have …

Deterministic databases offer several benefits: they ensure serializable execution while
avoiding concurrency-control related aborts, and they scale well in distributed environments …

Non-volatile main memory (NVMM) technologies promise byte addressability and near-
DRAM access that allows developers to build persistent applications with common load and …

The specific characteristics of graph workloads make it hard to design a one-size-fits-all
graph storage system. Systems that support transactional updates use data structures with …