“If networks were smarter, decision-making could occur independent of the cloud at much lower latencies. “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,” says Rowe. However, 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. In most current IoT systems, sensors send data to the cloud for processing and decision-making. These devices make our homes and communities smarter through connectivity, and they are capable of sensing, learning, and interacting with humans. IoT has pushed a major focus on edge devices. The assistant director, Prabal Dutta, is an associate professor at the University of California, Berkeley. Garrett, Dean of Carnegie Mellon College of Engineering.ĬONIX, 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. 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 defense.” “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. The challenge is to build this substrate so that future applications that are crucial to IoT can be hosted with performance, security, robustness, and privacy guarantees. For the next five years, CONIX will create the architecture for networked computing that lies between edge devices and the cloud. universities will collaborate in the CONIX Research Center headquartered at Carnegie Mellon. The CONIX research center, directed by Carnegie Mellon’s Anthony Rowe, will rethink how we can integrate cloud and edge computing with networking to ensure that IoT applications can be hosted with performance, security, robustness, and privacy guarantees. For example, rescue teams in a disaster could use the system to zoom in on particular areas of interest at the click of a button. This would have both civilian and military applications. Imagine a system like Google Street View, only with live real-time data. At scale, this lays the groundwork for all kinds of infrastructure management.Įnhanced situational awareness at the edgeĮfforts here will create on-demand information feeds for decision makers by dispatching human-controlled swarming drones to provide aerial views of city streets. They will deploy CONIX edge devices across participating universities to monitor and visualize the flow of pedestrians. Researchers will explore the mechanisms for managing and processing millions of sensors’ feeds in urban environments. This same technology will be critical to support next-generation augmented reality systems being used in applications ranging from assisted surgery and virtual coaching to construction and manufacturing. The researchers will use this technology for meetings, uniting multiple CONIX teams. Then, like a hologram, this information will be shared with people in different locations. Researchers will capture physical aspects of users in a room, such as their bodies and facial expressions. Physical and virtual reality systems will merge in a collaborative digital teleportation system. ĬONIX’s research is driven by three applications: Carnegie Mellon University will lead a $27.5 million Semiconductor Research Corporation (SRC) initiative to build more intelligence into computer networks.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |