Distributed databases suffer from performance degradation under skewed workloads. Such
workloads cause high contention, which is exacerbated by cross-node network latencies. In …

Memory disaggregation is an emerging data center architecture that improves resource
utilization and scalability. Replication is key to ensure the fault tolerance of applications, but …

Substantial research efforts have been devoted to studying the performance optimality
problem for distributed database transactions. However, they focus just on optimizing …

Modern web services crucially rely on high-performance distributed databases, where
concurrent transactions are isolated from each other using concurrency control protocols …

The integration of a time synchronization and time transfer system in data center networks is
an increasingly common demand. Since moving the entire infrastructure of a data center …

The correctness and performance of today's applications are heavily influenced by the
consistency models of their supporting services. Strong consistency models, like strict …

Existing parallel logging schemes are unsuitable for lower isolation levels due to tracking all
dependencies of transactions. To overcome this problem, we present a high-performance …

The growing popularity of global applications, such as social networks, online gaming, and
supply chain management, has spurred the demand for a more advanced database system …

This thesis aims to understand different trade-offs between current distributed transaction
protocols. Specifically, we focus on two widely used concurrency control levels: Causal …