Database systems serving cloud platforms must serve large numbers of applications (or tenants). In addition to managing tenants with small data footprints, different schemas, and ...
The sciences, business confederations, and medicine urgently need infrastructure for sharing data and updates among collaborators' constantly changing, heterogeneous databases...
This paper describes our ongoing work developing the Stanford Stream Data Manager (STREAM), a system for executing continuous queries over multiple continuous data streams. The ST...
Rajeev Motwani, Jennifer Widom, Arvind Arasu, Bria...
The Deuteronomy system supports efficient and scalable ACID transactions in the cloud by decomposing functions of a database storage engine kernel into: (a) a transactional compon...
Justin J. Levandoski, David B. Lomet, Mohamed F. M...
Data stream management systems need to control their resources adaptively since stream characteristics and query workload may vary over time. In this paper we investigate an approa...