The CONIX Center’s research agenda is broad and ambitious, spanning architectures, components, services, security, and privacy, all of which combine into three demonstrator applications. The center’s mission is to develop the architecture consisting of APIs and protocols that allow system designers to operate on all resources in a system in an abstract manner like that used by modern data centers. This requires an interdisciplinary and cross-cutting approach that extends from new programming paradigms at the top, all the way down to platforms that support in-network computation. To cope with dynamics and scale, the system needs to be sufficiently autonomous using machine learning and cognitive approaches to build resilience and to self-optimize.
Next Student-Liaison Seminar
Tuesday, August 18th @ 1pm Eastern Time
- Title: Learning in Heterogeneous Networks: Optimization and Fairness
- Led by PhD student Tian Li (Carnegie Mellon University)
- Find additional details on the Member Home page or email Toni Fox.
10.13.20 ‐ 10.15.20
CONIX Third Annual Review (VIRTUAL)
JUMP e-Workshop ‘The Future of Network Machine Learning’ by Jeff Bilmes
JUMP e-Workshop ‘Sensing the Physical World out of Pervasive Wireless Infrastructure’ by Elahe Soltanaghaei
JUMP e-Workshop ‘Programmable Network Data Plane and Its Applications’ by Daehyeok Kim
JUMP e-Workshop ‘Processing Visual Information at the Network Edge: Applications, Systems, and Experiences’ by Ramesh Govindan