Mobile Edge Computing Performance Evaluation using Stochastic Petri Nets

Author(s):  
Daniel Carvalho ◽  
Laecio Rodrigues ◽  
Patricia Takako Endo ◽  
Sokol Kosta ◽  
Francisco Airton Silva
Author(s):  
Sokol Kosta ◽  
Francisco Airton Silva ◽  
Patricia Takako Endo ◽  
Daniel Carvalho ◽  
Laécio Rodrigues

Author(s):  
Daniel Carvalho ◽  
Laécio Rodrigues ◽  
Patricia Takako Endo ◽  
Sokol Kosta ◽  
Francisco Airton Silva

2020 ◽  
Author(s):  
Carlos Brito ◽  
Laécio Rodrigues ◽  
Iure Fé ◽  
Guto Leoni ◽  
Francisco Airton Silva

Mobile Edge Computing (MEC) emerged as an alternative to reduce network latency by bringing the data processing close to the users. This proximity requires that the service is available most of the time. Trying to assess the availability of such systems in real contexts requires high costs. This paper uses Stochastic Petri Nets (SPNs) to assess the availability of an MEC architecture, seeking to avoid premature investment in real equipment. In addition, this work presents a sensitivity analysis that identifies the most critical components of architecture. This work has the potential to assist administrators in redefining the most optimized MEC architectures by decreasing the risk of failure.


SIMULATION ◽  
1995 ◽  
Vol 65 (4) ◽  
pp. 269-278 ◽  
Author(s):  
Koen De Bosschere ◽  
Jalal Almhana

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