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Your search keyword '"Shirmarz, Alireza"' showing total 23 results
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23 results on '"Shirmarz, Alireza"'

3. Towards Network Behaviour Trend Evaluation in Software Defined Network (SDN) Considering the number of paths

Author

Shirmarz, Alireza

Subjects
Computer Science - Networking and Internet Architecture
Abstract

There is a wide range of topologies to use in simulation that can make research divergency; therefore, we propose a topology set that can be used in research of network behaviour in Software Defined Network (SDN). This paper can unite the trend research that is doing in different aspects of SDN. One of the most effective items which show the behaviour of the proposed model in SDN is the number of paths that exist between each couple of nodes; hence, we propose three basic topologies to show this parameter. This paper is useful for those who are working on SDN and intend to evaluate the effect of their proposal considering the number of paths. Finally, three topologies called sparse, partial-mesh and full-mesh will be introduced in this paper., Comment: 6 pages, 2 Tables and 1 figure

Published
2021

20. Application of MLP and RBF Methods in Prediction of Travelling within thecity

Author

Nosrati, Mehdi, Hoseini, Mojtaba, Shirmarz, Alireza, Somarin, Abbas Mirzaei, Hoseininia, Nayereh, and Barari, Morteza

Subjects
urban travels, Multidisciplinary, radial basis function, Computer science, business.industry, Multilayer perceptron, multilayer perceptron, Pattern recognition, Artificial intelligence, business, artificial neural network
Abstract

Forecasting ofTravelling within the city demand is necessary for the correct operations of subway stations. This includes the provision of station security, management and better service to passengers will be. In this paper we are compared multilayer perceptron(MLP) and Radial Basis Function (RBF) models together for prediction of travelling within the city. The models are trained and assessed on dataset of Aliabad subway station in Tehran.

Published
2016
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23. An adaptive greedy flow routing algorithm for performance improvement in software‐defined network.

Author

Shirmarz, Alireza and Ghaffari, Ali

Subjects
*SOFTWARE-defined networking, *ROUTING algorithms, *ARCHITECTURE
Abstract

The software‐defined network (SDN) is an architecture to separate control and data plane. There is a central controller to control the forwarding elements (FEs) under its domain. The controller can receive flows information and requirements to make a decision and impose rules to FEs for forwarding all packets belong to each flow. Routing can be done with considering performance parameters that are needed for each flow. The routing algorithms that support the thresholds of the flows' bandwidth, delay, jitter, and packet loss rate (PLR) are needed in the SDN architecture to optimize the delay, the blocking probability (BP), and the network utilization with an acceptable algorithm running time. In this paper, we proposed the greedy routing scheme in the Floodlight controller and evaluated this algorithm with the utilization, delay, BP, and algorithm time complexity. Extensive simulations are performed, and achieved results confirm the effectiveness of the proposed scheme in comparison with other baseline routing protocols such as random, shortest path (SP), and adaptive flow routing (AFR). [ABSTRACT FROM AUTHOR]

Published
2020
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