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Initiative will create the architecture for networked computing that lies between edge devices and the cloud
Carnegie Mellon University has announced it will head a $27.5m Semiconductor Research Corporation (SRC) programme to build smarter networks to connect edge devices to the cloud.
Researchers from six US universities will collaborate in the Conix Research Centre headquartered at Carnegie Mellon. For the next five years, Conix will create the architecture for networked computing that lies between edge devices and the cloud.
The university said the challenge is to build this substrate so that future applications that are crucial to Internet of Things (IoT) can be hosted with performance, security, robustness, and privacy guarantees.
IoT has pushed a major focus on edge devices. These devices make homes and communities smarter through connectivity, and they are capable of sensing, learning, and interacting with humans. In most current IoT systems, sensors send data to the cloud for processing and decision-making.
However, according to the university, massive amounts of sensor data coupled with technical constraints have created bottlenecks in the network that curtail efficiency and the development of new technologies, especially if timing is critical.
“The extent to which IoT will disrupt our future will depend on how well we build scalable and secure networks that connect us to a very large number of systems that can orchestrate our lives and communities,” said James Garrett, dean of Carnegie Mellon College of Engineering.
“Conix will develop novel architectures for large-scale, distributed computing systems that have immense implications for social interaction, smart buildings and infrastructure, and highly connected communities, commerce, and defence.”
Conix, an acronym for Computing on Network Infrastructure for Pervasive Perception, Cognition, and Action, is directed by Anthony Rowe, associate professor of electrical and computer engineering at Carnegie Mellon. The assistant director, Prabal Dutta, is an associate professor at the University of California, Berkeley.
“There isn’t a seamless way to merge cloud functionality with edge devices without a smarter interconnect, so we want to push more intelligence into the network,” added Rowe. “If networks were smarter, decision-making could occur independent of the cloud at much lower latencies.”
Developing a clean-slate distributed computing network will take an integrated view of sensing, processing, memory, dissemination and actuation. Conix researchers intend to define the architecture for such networks now before attempts to work around current limitations create infrastructure that will be subject to rip-and-repair updates, resulting in reduced performance and security.
Conix’s research will be driven by three applications:
In addition to Carnegie Mellon and the University of California, Berkeley, other participants include the University of California, Los Angeles, University of California, San Diego, University of Southern California, and University of Washington Seattle.
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