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abstract

Modeling and evaluating performances of complex edge computing based systems: a firefighting support system case study

Published: 05 December 2017 Publication History

Abstract

Edge computing extends cloud computing by providing a subset of computational resources that are close to the application site, lowering the need for bandwidth and augmenting responsiveness. This allows implementing cloud benefits in critical applications bound to a physical location, provided that a correct distribution between edge and cloud is applied. To achieve this purpose, a performance evaluation of the architecture is needed. In this paper we present a queuing networks based modeling approach for complex critical edge computing based systems, applied to a support system for accident management teams.

References

[1]
D. Cerotti, M. Gribaudo, M. Iacono, and P. Piazzolla. 2016. Modeling and analysis of performances for concurrent multithread applications on multicore and graphics processing unit systems. Conc. and Comp.: Practice and Experience 28, 2 (2016), 438--452.
[2]
M. D'Arienzo, M. Iacono, S. Marrone, and R. Nardone. 2013. Estimation of the Energy Consumption of Mobile Sensors in WSN Environmental Monitoring Applications. In Advanced Information Networking and Applications Workshops (WAINA), 2013 27th International Conference on. 1588--1593.
[3]
Marco Gribaudo, Mauro Iacono, and Alexander H. Levis. 2017. An IoT-based monitoring approach for cultural heritage sites: the Matera case. Conc. and Comp.: Practice and Experience (2017).
[4]
M. Iacono, E. Romano, and S. Marrone. 2010. Adaptive monitoring of marine disasters with intelligent mobile sensor networks. In Environmental Energy and Structural Monitoring Systems (EESMS), 2010 IEEE Workshop on. 38--45.
[5]
P. Piazzolla, M. Gribaudo, S. Colombo, D. Manca, and M. Iacono. 2017. A low-cost distributed IoT-based augmented reality interactive simulator for team training. Proceedings - 31st European Conference on Modelling and Simulation, ECMS 2017 (2017), 591--597.
[6]
M. Satyanarayanan. 2017. The Emergence of Edge Computing. Computer 50, 1 (Jan 2017), 30--39.
[7]
W. Shi and S. Dustdar. 2016. The Promise of Edge Computing. Computer 49, 5 (May 2016), 78--81.
[8]
M. M. Sohul, M. Yao, X. Ma, E. Y. Imana, V. Marojevic, and J. H. Reed. 2016. Next generation public safety networks: A spectrum sharing approach. IEEE Communications Magazine 54, 3 (March 2016), 30--36.

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  • (2020)Computation of the normalising constant for product-form models of distributed systems with synchronisationFuture Generation Computer Systems10.1016/j.future.2019.10.045111(475-490)Online publication date: Oct-2020

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VALUETOOLS 2017: Proceedings of the 11th EAI International Conference on Performance Evaluation Methodologies and Tools
December 2017
268 pages
ISBN:9781450363464
DOI:10.1145/3150928
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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  • EAI: The European Alliance for Innovation

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 December 2017

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Author Tags

  1. Cloud
  2. Edge
  3. Firefighting
  4. IoT
  5. Performance evaluation

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  • Refereed limited

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VALUETOOLS 2017

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Overall Acceptance Rate 90 of 196 submissions, 46%

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View all
  • (2020)Computation of the normalising constant for product-form models of distributed systems with synchronisationFuture Generation Computer Systems10.1016/j.future.2019.10.045111(475-490)Online publication date: Oct-2020

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