This is the thrust where all of the essential contributions of the cloud and edge thrusts finally interact with humans.
The applications thrust is the ultimate realization of the innovations in the other thrusts; research here demonstrates how impacts at the edge and cloud translate into revolutionary changes in how humans interact with physical spaces and digital systems to achieve their joint goals.
Key Challenges
In converged cloud-edge environments, application correctness must have more fluid definitions than our existing strict definitions of correctness. How do we define, measure, and present correctness within our machine intelligence models? How might these requirements lead to adaptations in distribution of intelligence, complexity of needed models, and the sharing (or not) of private data?
Synergies
Applications embody requirements related to latency and responsiveness, power and energy, correctness and accuracy, and privacy and security. At the same time, the edge and cloud resources are finite and shared. Applications must be subject to the physical and network constraints of the edge and cloud systems; collaboration and cooperation among applications must similarly navigate these constraints.
Applications Lead
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Christine Julien
Applications Lead
Professor, Texas ECE
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Sandeep Chinchali
Assistant Professor, Texas ECE
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Gustavo de Veciana
Professor, Texas ECE
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Mattan Erez
Professor, Texas ECE
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Milos Gligoric
Associate Professor, Texas ECE
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Hyeji Kim
Assistant Professor, Texas ECE
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Radu Marculescu
Edge Lead
Professor, Texas ECE
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David Z. Pan
Professor, Texas ECE
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Edison Thomaz
Assistant Professor, Texas ECE
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Atlas Wang
Assistant Professor, Texas ECE
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Hao Zhu
Assistant Professor, Texas ECE