Data on demand

Communicating Data Quality in On-Demand Curation

On-demand curation (ODC) tools like Paygo, KATARA, and Mimir allow users to defer expensive curation effort until it is necessary. In contrast to classical databases that do not respond to queries over potentially erroneous data, ODC systems instead answer with guesses or approximations. The quality and scope of these guesses may vary and it is critical that an ODC system be able to communicate...

Stela : on - Demand Elasticity in Distributed Data

Big data is characterized by volume and velocity [24], and recently several real-time stream processing systems have emerged to combat this challenge. These systems process streams of data in real time and computational results. However, current popular data stream processing systems lack the ability to scale out and scale in (i.e., increase or decrease the number of machines or VMs allocated t...

On-demand Indexing for Large Scientific Data

Enabling search alleviates the need for manual file management, allowing users to find files by the features that are most relevant to them. Despite the need for a comprehensive file system search, most file system indexing work has focused on adapting existing solutions such as the RDBMS or spatial trees to index files. Although a step in the right direction these approaches have focused their...

Data Staging for On-Demand Broadcast

Scheduling for Large - Scale On - Demand Data

| Recent advances in telecommunications have enabled the deployment of broadcast-based wide-area information services that provide on-demand data access to very large client populations. In order to eeectively utilize a broadcast medium for such a service, it is necessary to have eecient, on-line scheduling algorithms that can balance individual and overall performance, and can scale in terms o...