Analytical models for the performance evaluation of banyan networks with shared queueing

Author(s):  
A. Pattavina ◽  
S. Gianatti
2017 ◽  
Vol 139 (3) ◽  
Author(s):  
Xuan Li ◽  
Chaoyang Li ◽  
Yawen Wang ◽  
Bingkui Chen ◽  
Teik C. Lim

The load distribution analysis plays a significant role in the performance evaluation of cycloid speed reducer. However, current analytical models usually ignore elastic deformation, clearances, or assembly errors. These factors must be considered for realistic performance evaluation of cycloid speed reducer. This paper proposes an analytical model for cycloid speed reducer based on unloaded tooth contact and load distribution analyses. The proposed model can predict the loads on various components of the speed reducer in the presence of clearances and eccentricity errors. The results are compared with those predicted by the cycloid speed reducer model based on theoretical geometry. The effect of radial and pin-hole clearances as well as eccentricity errors, on some key design factors, such as contact stress, transmission error, gear ratio, and load on bearing, is investigated. This study can be used to assist the optimal design of cycloid speed reducers.


2011 ◽  
Vol 29 (1) ◽  
pp. 207-222 ◽  
Author(s):  
Wee Lum Tan ◽  
Wing Cheong Lau ◽  
OnChing Yue ◽  
Tan Hing Hui

2009 ◽  
Vol 10 (04) ◽  
pp. 481-495 ◽  
Author(s):  
LYNDA MOKDAD ◽  
JALEL BEN-OTHMAN

WiMAX (Worldwide Interpretability for Microwave Access) is one of the leader standards of broadband Wireless Access (BWA). This standard becomes a competitor of 4G or LTE (Long Terme Evolution) with the introduction of different class of service flow (UGS, rtPS, nrtPS, BE). Each service class has its own QoS requirements. Even if the standard specify the transmission policy of each service class, it recommends the implementation of an admission control (AC) without any specification. This task is let to the operator. In this paper, we propose an implementation of an AC algorithm mechanism for IEEE 802.16. The performance evaluation of these networks by analytical models is not easy due to the state space explosion, thus we use the Stochastic Automata Networks (SAN) formalism to model our proposed AC mechanism. With the SAN we calculate the rewards of the proposed AC and we show that the proposed solution is efficient.


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