iAD - Information Access Disruptions
The iAD group from the Department of Computer Science at the Univeristy of Tromsø, focuses on fundamental structures and concepts for run-time systems supporting large scale information access applications. Such applications typically consist of a myriad of software components clustered together in a networked environment. We are in particular interested in run-time systems for data-intensive web analysis search applications.
We are building and evaluating run-time systems for, in particular, private cloud computing environments. Such enterprise clusters must dynamically support resource elasticity through private cloud sharing, but also in combination with public clouds to timely handle peak resource demands. Performance isolation is fundamental in this context, and our conjecture and initial experience are that existing virtualization platforms have room for improvements in this context. Hence, we are currently building and evaluating prototypes supporting performance isolation, both at the operating system and application level.
Our research activities are organized in:
- Cluster technologies
- Analytic run-times
- Search Derived Applications
- Search related technologies.
|Partially funded by the Research Council of Norway as a Centre for Research-based Innovation (SFI), iAD is directed by FAST, a Microsoft subsidiary, in collaboration with Accenture, Cornell University, Dublin City University, BI Norwegian School of Management and the universities in Tromsø (UiTø), Trondheim (NTNU), and Oslo (UiO).|