http://optimacs.imag.fr/
The increasingly global economy calls
for continuous access to information in a flexible and robust way
through services that come up as a new paradigm for programming and
organizing operations. At the same time, the emergence of ubiquitous
computing introduces wireless and portable technologies that
democratize access to information and services and thereby opens new
research challenges for querying techniques that can cope with this
novel dynamic execution environment. Research on query processing is
still promising given the explosion of huge amounts of data largely
distributed and produced by different means (sensors, devices,
networks, analysis processes), and the requirements to query them to
have the right information, at the right place, at the right moment.
This challenge implies composing services available in dynamic
environments and integrating this notion into query processing
techniques. Yet, to our knowledge none of existing techniques tackle at
the same time classic, mobile and continuous queries by composing
services that are (push/pull, static and nomad) data providers. We
denote by "hybrid queries" our vision of queries over dynamic
environments, i.e. queries that can be mobile, continuous and evaluated
on top of push/pull static or nomad services. The OPTIMACS project aims
at achieving convergence of hybrid query processing and services
composition. Its main challenges concern:
- Combining service composition (e.g. matching, discovery,
filtering) and query processing.
- Adaptive hybrid query optimization according to personalized
quality of service (QoS) criteria.
- Design of a testbed for validating our proposal for processing of
service-based query on real-life dynamic environments.
OPTIMACS addresses novel challenges on data/services querying that go
beyond existing results for efficiently exploiting data stemming from
many different sources in dynamic and multi-scale environments.
Coupling together services, data and stream with query processing
considering dynamic environments and QoS issues is an important
challenge in the database community that is partially addressed by some
groups. Studying the problem in a general perspective will lead to its
understanding and to the identification of theoretical and technical
problems. In this sense OPTIMACS is an original research project that
will lead to results with an important expected impact on "modern data
and services intensive systems" deployed on networks of heterogeneous
devices, the so called ecosystem or dataspaces.
Partners: LIG (leader), LAMIH, LIRIS
The Design
For Safety (D4S) project has been certified by the i-Trans
french cluster with world vocation on innovative transportation
systems. It aims at developping new
Design Elements for Safety (DES) to present to driver pertinent
information in the best way in order to improve safety on roads.
In this project, we focus on information-sharing mechanims between
vehicles using wireless communications.
The development of our
VESPA system has been initiated in the scope of this D4S project.
The
TACOS project deals with land transportation systems and
proposes a
component-based approach to specify systems with high safety
requirements.
Our contribution in the TACOS project concerns the design of trustable
assemblies of
localization components. Our goal is to improve both continuity
of service and reliability of location information delivered to
applications and/or users.