Research Vision

We wish to build a world where people can reasonably trust computing and cyber-physical systems despite the occurrence
of unanticipated, and even maliciously induced, faults. In achieving this, we believe in the power of solid technical
ideas, practical techniques that can instantiate these ideas, and rigorous experimentation to prove or disprove the
ideas. In the end, good ideas, and not glitzy sales pitches, win the battle for brains and minds.

DCSL Word Art

What We Do

Dependability meets Data Analytics

The broad goal of our research is to design practical dependable distributed systems. We work in
the realm of systems that generate and consume lots of data and that work at large scales. Therefore, we adapt and
apply Machine Learning techniques to our systems problems. Our work is motivated by the fact that systems are
increasing in scale, both in terms of the number of executing elements and the amount of data that they need to
process and existing dependability techniques are increasingly failing to meet the demands of such scaling. The
faults that bedevil such systems may be due to accidental (or natural) causes, or malicious (or induced) causes and
we deal with both classes. Our work deals with faults by providing the functionality of detection (tell
quickly that there is something wrong), diagnosis (what is the root cause of the failure),
containment (how to prevent the failure from propagating through the system), and in some cases,
prediction (of an impending failure, so that proactive mitigation actions can be triggered). The
dependability mechanisms must not overly impact the application or the execution environment, either in terms of
performance impact or in terms of the level of changes required from them. We need to use leading-edge data analytic
techniques to create systems that perform these functions in an adaptive manner, adapting to the different
applications, system conditions, faults and security attacks, and requirements. Our work focuses primarily in the
application and in the middleware software layers, while with embedded wireles devices, we also delve into the
low-level firmware.

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Archived Projects

Last modified: November 4, 2019