Abstract— Collected data often contains uncertainties. Probabilistic databases have been proposed to manage uncertain data. To combine data from multiple autonomous probabilistic...
Fabian Panse, Maurice van Keulen, Ander de Keijzer...
— Database Management Systems (DBMSs) are often required to simultaneously process multiple diverse workloads while enforcing business policies that govern workload performance. ...
Wendy Powley, Patrick Martin, Mingyi Zhang, Paul B...
— While Internet has enabled us to access a vast amount of online news articles originating from thousands of different sources, the human capability to read all these articles h...
Milos Krstajic, Florian Mansmann, Andreas Stoffel,...
— In this position paper, we motivate the need for streaming data integration in three main forms including across multiple streaming data sources, over multiple stream processin...
— We discuss the problem of resource provisioning for database management systems operating on top of an Infrastructure-As-A-Service (IaaS) cloud. To solve this problem, we descr...
— In publish/subscribe systems, users express their interests in specific items of information and get notified when relevant data items are produced. Such systems allow users ...
Abstract— Modern database management systems (DBMS) answer a multitude of complex queries on increasingly larger datasets. Given the complexities of the queries and the numerous ...
Debabrata Dash, Ioannis Alagiannis, Cristina Maier...
Abstract— Nowadays, vast amount of routing data, like sequences of points of interests, landmarks, etc., are available due to the proliferation of geodata services. We refer to t...
— In this paper, we aim to realize a context and preference-aware database system, CareDB, that provides scalable personalized location-based services to users based on their pre...
— This paper looks at the problem of automatically tuning the database server multiprogramming level to improve database server performance under varying workloads. We describe t...