scholarly journals Discrete-Time Modeling of NFV Accelerators that Exploit Batched Processing

Author(s):  
Stanislav Lange ◽  
Leonardo Linguaglossa ◽  
Stefan Geissler ◽  
Dario Rossi ◽  
Thomas Zinner
2021 ◽  
Vol 500 ◽  
pp. 229991
Author(s):  
Alan G. Li ◽  
Karthik Mayilvahanan ◽  
Alan C. West ◽  
Matthias Preindl

2015 ◽  
Vol 23 ◽  
pp. 149-170 ◽  
Author(s):  
Yaprak YALÇIN ◽  
Leyla GÖREN SÜMER ◽  
Salman KURTULAN

Author(s):  
SHINJI INOUE ◽  
NAOKI IWAMOTO ◽  
SHIGERU YAMADA

This paper discusses an new approach for discrete-time software reliability growth modeling based on an discrete-time infinite server queueing model, which describes a debugging process in a testing phase. Our approach enables us to develop discrete-time software reliability growth models (SRGMs) which could not be developed under conventional discrete-time modeling approaches. This paper also discuss goodness-of-fit comparisons of our discrete-time SRGMs with conventional continuous-time SRGMs in terms of the criterion of the mean squared errors, and show numerical examples for software reliability analysis of our models by using actual data.


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