プロジェクト
A high-performance, extensible, and low-latency remote cache-store from Microsoft Research Garnet is a research project from Microsoft Research. It is a remote cache-store designed to offer high performance, extensibility, and low latency. Garnet is thread-scalable within a single node. It also…
The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of query optimization is amplified due to the…
Accelerating query processing on open data formats As businesses become more data-driven, there is an increasing interest in adopting data lakes (e.g., Microsoft Fabric) in large enterprises. A data lake is a large storage repository that stores a vast amount…
It is often cited that data scientists spend a significant portion of their time (up to 80%), cleaning and preparing data. For less-technical users, who may be less proficient in writing code (e.g., in Excel, Power-BI and Tableau), the tasks…
Oversubscription is an essential cost management strategy in multi-tenant, cloud Database-as-a-Service (DBaaS), and its importance is magnified by the emergence of serverless databases. In the FRA project, we have developed novel resource management techniques that enables cloud DBaaS providers to…
既成:
FASTER is a new key-value store for point operations, that combines a highly cache-optimized concurrent hash index with a novel self-tuning data organization. It extends the standard key-value store interface to handle read-modify-writes and blind update operations. FASTER achieves orders-of-magnitude…
既成:
Database management systems provide functionality that is central to developing business applications. Therefore, database management systems are increasingly being used as an important component in applications. Yet, the problem of tuning database management systems for achieving required performance is significant,…