Karl Aberer (Panel Chair)
Amr El Abbadi
Intel Research, Berkeley
Networking Meets Databases: Do we meet
The recent years brought a massive change in the way data
management is viewed. Data is being increasingly processed
within networks. P2P computing and sensor networks are the
most prominent examples. The classical separation of information
systems from communication systems is disolving. We can observe
that very similar problems are addressed by what before seemed
fairly disparate research communities. For example, the problem
of aggregating and filtering data within networks is being
studied simultanously in information theory and networking,
both classical EE fields, as well as in distributed systems
and databases, both classical CS fields. Even researchers
from so seemingly unrelated disciplines such as physics start
to investigate these problems. This raises a number of issues
of how research in this field is organized now and ought to
be organized in the future:
- Are we just facing a problem domain requiring classical
interdisciplinary research? Or, are the classical
disciplines no more adequate and new disciplines emerge?
- Are the research communities ready to open up?
Is the communication across disciplines working?
Does the current organization of research communities still make sense?
- Are we still educating future researchers in an adequate way?
- Which are examples of theoretical foundations and
methodological approaches in one discipline that could
open also new avenues for others?
- Which are challenges that only can be addressed
by efforts spanning multiple disciplines (or by reshaping