Information Access Disruption

The iAD group in 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 such 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.
Cluster technologies
Analytic run-times
Search Derived Applications
Search related technologies
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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¸
(UiT), Trondheim (NTNU), and Oslo (UiO).
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