Determining the Optimum Number of Paths for Realization of Multi-path Routing in MPLS-TE Networks

Alhihi, Mohammad; Khosravi, Mohammad R.; Attar, Hani; Samour, Mohammad

doi:10.12928/telkomnika.v15i4.6597

Cited by 20 publications

(9 citation statements)

References 19 publications

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“…The evaluation of the effectiveness of the proposed method was performed and we saw that the proposed approach could outperform the classical approach of load distribution. As a future work, this proposed method can be used in other types of networks such as wireless access network [10], MPLS networks [11], ethernet networks [12], wireless sensor networks [13], [14], and all platforms used for 5G-based internet of things (IoT). As another next work, the problem can be resolved based on the proposed formulation but by using other optimization techniques.…”

Section: Resultsmentioning

confidence: 99%

Operating Task Redistribution in Hyperconverged Networks

Alhihi¹,

Khosravi

2018

IJECE

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In this article, a searching method for the rational task distribution through the nodes of a hyperconverged network is presented in which it provides the rational distribution of task sets towards a better performance. With using new subsettings related to distribution of nodes in the network based on distributed processing, we can minimize average packet delay. The distribution quality is provided with using a special objective function considering the penalties in the case of having delays. This process is considered in order to create the balanced delivery systems. The initial redistribution is determined based on the minimum penalty. After performing a cycle (iteration) of redistribution in order to have the appropriate task distribution, a potential system is formed for functional optimization. In each cycle of the redistribution, a rule for optimizing contour search is used. Thus, the obtained task distribution, including the appeared failure and success, will be rational and can decrease the average packet delay in the hyperconverged networks. The effectiveness of our proposed method is evaluated by using the model of hyperconverged support system of the university E-learning provided by V.N. Karazin Kharkiv National University. The simulation results based on the model clearly confirm the acceptable and better performance of our approach in comparison to the classical approach of task distribution. Keyword:Distributed processing E-learning Penalty Redistribution hyperconvergence Copyright © 2018 Institute of Advanced Engineering and Science.All rights reserved. Corresponding Author:Mohammad Alhihi, Departement of Communications and Electronic Engineering, Philadelphia University, Amman, Jordan. Email: malhihi@philadelphia.edu.jo INTRODUCTIONAt the present age of information technology (IT) market, the distributed or cloud-based data communication platforms are step by step replaced by the converged and hyperconverged platforms such as like software defined networks (SDNs) [1]. The infrastructures are formed over a convergent platform; so with consideration of a huge quota of the memory, the computational network resources have been previously adapted for work in data center [2]; and under a hyperconverged infrastructures, the computational capacities, the storages, the servers' facilities, and other things of networks are integrated by a software platform like SDNs. The control tool for such new platforms is provided through a general administrative console [3]. Under having the hyperconverged structure for system's resource allocation and control, it is enough that only a network/system administrator or a limited number of administrators as administrative group are to be placed in a site. It thus waives the additional costs for the maintenance of data communication system. Thus, this platform is one of the best alternatives for the organization systems in the world.In this current work, we consider systems along with several users with the independent territorial location which it is towards the increa...

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Section: Resultsmentioning

confidence: 99%

Operating Task Redistribution in Hyperconverged Networks

Alhihi¹,

Khosravi

2018

IJECE

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“…Using low complexity equalizer while improving or maintain the DVB-H system's performance will increase the hand-held system battery usage time and over-all system reliability. Future is planned to improve the proposed system by applying it to other techniques address complexity, or the power efficiency, such as Network Coding introduced in [44]- [47], or utilizing the proposed equalizer over the optimum number of paths for the realization of multi-path routing in [48].…”

Section: Discussionmentioning

confidence: 99%

A Low-Complexity Equalizer for Video Broadcasting in Cyber-Physical Social Systems Through Handheld Mobile Devices

et al. 2020

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In Digital Video Broadcasting-Handheld (DVB-H) devices for cyber-physical social systems, the Discrete Fractional Fourier Transform-Orthogonal Chirp Division Multiplexing (DFrFT-OCDM) has been suggested to enhance the performance over Orthogonal Frequency Division Multiplexing (OFDM) systems under time and frequency-selective fading channels. In this case, the need for equalizers like the Minimum Mean Square Error (MMSE) and Zero-Forcing (ZF) arises, though it is excessively complex due to the need for a matrix inversion, especially for DVB-H extensive symbol lengths. In this work, a low complexity equalizer, Least-Squares Minimal Residual (LSMR) algorithm, is used to solve the matrix inversion iteratively. The paper proposes the LSMR algorithm for linear and nonlinear equalizers with the simulation results, which indicate that the proposed equalizer has significant performance and reduced complexity over the classical MMSE equalizer and other low complexity equalizers, in time and frequencyselective fading channels. INDEX TERMS Least-squares minimal residual (LSMR), digital video broadcasting-handheld (DVB-H), orthogonal frequency division multiplexing (OFDM), zero-forcing (ZF) and cyber-physical social systems. HANI ATTAR received the Ph.D. degree from the Department of Electrical and Electronic Engineering, University of Strathclyde, U.K., in 2011. Since 2011, he has been working as a Researcher of electrical engineering and energy systems. He is currently a University Lecturer with Zarqa University, Jordan. His research interests include network coding, wireless sensor networks, and wireless communications.

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“…In this work, our aim is to introduce a computational method [5]- [10] in which we theoretically computed the optimal range of ATRs. Our approach's result was matched with the simulation result in which they are sufficiently similar to each other.…”

Section: Discussionmentioning

confidence: 99%

Optimum range of angle tracking radars: a theoretical computing

Samadi

Khosravi

Alzubi

et al. 2019

IJECE

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In this paper, we determine an optimal range for angle tracking radars (ATRs) based on evaluating the standard deviation of all kinds of errors in a tracking system. In the past, this optimal range has often been computed by the simulation of the total error components; however, we are going to introduce a closed form for this computation which allows us to obtain the optimal range directly. Thus, for this purpose, we firstly solve an optimization problem to achieve the closed form of the optimal range (Ropt.) and then, we compute it by doing a simple simulation. The results show that both theoretical and simulation-based computations are similar to each other.

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Determining the Optimum Number of Paths for Realization of Multi-path Routing in MPLS-TE Networks

Abstract: Multi-Protocol Label Switching for Traffic Engineering (MPLS-TE

Cited by 20 publications

References 19 publications

Operating Task Redistribution in Hyperconverged Networks

Operating Task Redistribution in Hyperconverged Networks

A Low-Complexity Equalizer for Video Broadcasting in Cyber-Physical Social Systems Through Handheld Mobile Devices

Optimum range of angle tracking radars: a theoretical computing

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