Analysis of a Real-Time Network Using Statistical Network Calculus with Approximate Invariance of Effective Bandwidth
نویسندگان
چکیده
The modern industrial network traffic consists of an increasing amount of soft real-time flows, which can tolerate very small delay and losses. Allowing probabilistic Quality of Service (QoS) violation for these flows can greatly help to improve resource utilization. However, the improvement depends on the statistical properties of competing independent flows. The notion of effective bandwidth summarizes the statistical properties and QoS requirements of a flow. This paper suggests the usage of effective bandwidth to describe the arrival process of the flow along its path in a network within the framework of the statistical network calculus. Further, we improve the existing formal relationship between effective envelope and effective bandwidth to achieve a better bound for the arrival process. This new approach enables efficient utilization of statistical multiplexing of independent flows both at the ingress of the network and along the path of the flow.
منابع مشابه
Analysis of a Real-Time Network using Statistical Network Calculus with Effective Bandwidth and Effective Capacity
The Internet traffic consists of an increasing amount of soft real-time flows, which can tolerate very small delay variation and losses. Allowing probabilistic Quality of Service (QoS) violation for these flows can greatly help to improve resource utilization. However, this improvement depends on the statistical properties of competing independent flows and the resources (capacity and buffer) o...
متن کاملComparative Analysis of Neural Network Training Methods in Real-time Radiotherapy
Background: The motions of body and tumor in some regions such as chest during radiotherapy treatments are one of the major concerns protecting normal tissues against high doses. By using real-time radiotherapy technique, it is possible to increase the accuracy of delivered dose to the tumor region by means of tracing markers on the body of patients.Objective: This study evaluates the accuracy ...
متن کاملSensitivity Analysis of a Wideband Backward-wave Directional Coupler Using Neural Network and Monte Carlo Method (RESEARCH NOTE)
In this paper sensitivity analysis of a wideband backward-wave directional coupler due to fabrication imperfections is done using Monte Carlo method. For using this method, a random stochastic process with Gaussian distribution by 0 average and 0.1 standard deviation is added to the different geometrical parameters of the coupler and the frequency response of the coupler is estimated. The appli...
متن کاملBehavioral Analysis of Traffic Flow for an Effective Network Traffic Identification
Fast and accurate network traffic identification is becoming essential for network management, high quality of service control and early detection of network traffic abnormalities. Techniques based on statistical features of packet flows have recently become popular for network classification due to the limitations of traditional port and payload based methods. In this paper, we propose a metho...
متن کاملFeature Extraction to Identify Network Traffic with Considering Packet Loss Effects
There are huge petitions of network traffic coming from various applications on Internet. In dealing with this volume of network traffic, network management plays a crucial rule. Traffic classification is a basic technique which is used by Internet service providers (ISP) to manage network resources and to guarantee Internet security. In addition, growing bandwidth usage, at one hand, and limit...
متن کامل