Analytical agility at the edge of the network through auction mechanisms (Conference Presentation)

Mark Towers; Caroline Rublein; Fidan Mehmeti; Sebastian Stein; Thomas La Porta; Geeth R. De Mel

doi:10.1117/12.2560056

23 April 2020 Analytical agility at the edge of the network through auction mechanisms (Conference Presentation)

Mark Towers, Caroline Rublein, Fidan Mehmeti, Sebastian Stein, Thomas La Porta, Geeth R. De Mel

Proceedings Volume 11413, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II; 114131D (2020) https://doi.org/10.1117/12.2560056
Event: SPIE Defense + Commercial Sensing, 2020, Online Only

Abstract

With the proliferation of edge operations—especially across multiple domains—having the ability to configure and run mission-critical edge analytics is mandatory for the success of coalition missions. With the rise of cloud computing—especially hybrid clouds—small scale data centers are fast becoming a viable option for military data analysis problems. However, having fixed resource requirements hinders the task satisfiability in dynamic situation; this paper provides a flexible resource allocation mechanism in which the provider chooses the amount of resources allocated for a job. Novel auction mechanisms are deployed to increase the efficiency in the allocation.

Conference Presentation

Citation Download Citation

Mark Towers, Caroline Rublein, Fidan Mehmeti, Sebastian Stein, Thomas La Porta, and Geeth R. De Mel "Analytical agility at the edge of the network through auction mechanisms (Conference Presentation)", Proc. SPIE 11413, Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II, 114131D (23 April 2020); https://doi.org/10.1117/12.2560056

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