A novel network performance evaluation method based on maximizing deviations

Chen, Ming; Bai, Huali; Zhou, Yuming; Wang, Zhanfeng; Jiang, Pei-cheng

doi:10.1007/s11235-013-9759-1

Cited by 4 publications

(3 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Acoording to sample values x ij and indicator weight w i , for the method of maximizing deviations, total deviation of the number i goal from the other goals is calculated. In [24] Chen et al calculate total deviation of all evaluation objects from other evaluation objects by:…”

Section: Researchmethodsmentioning

confidence: 99%

Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization

Yin

2021

Teh. vjesn.

View full text Add to dashboard Cite

The innovation capability of high-tech industry reflects international competitiveness of a country. In order to scientifically evaluate the innovation capability, this paper proffers the comprehensive evaluation of the particle swarm synthesis optimization based on deviation maximization, principal component analysis and TOPSIS method. The evaluation index system of the innovation capability of high-tech industry is constructed; the paper conducts the empirical research through the particle swarm synthesis algorithm combined with provincial yearbook data on 30 provinces in China, and obtains the technological innovation capability results and rankings of each province's high-tech industry. The empirical results also show that the overall innovation capability of China's high-tech industry shows the growth trend, indicating that the implementation of an innovation-driven development strategy and other related policies have achieved suitable results. At the same time, the level of development in the eastern part of China is always higher than that of the central region and the western region. The paper further analyses reasons of differences in the development level of different regions. The particle swarm synthesis optimization has strong applicability in a comprehensive evaluation. This paper provides an effective reference for evaluating the innovation ability of the high-tech industry.

show abstract

Section: Researchmethodsmentioning

confidence: 99%

Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization

Yin

2021

Teh. vjesn.

View full text Add to dashboard Cite

show abstract

“…A multi-attribute model for global performance evaluation of IP based networks (under different traffic loads or for comparison of networks with the same traffic), is proposed in [Chen et al, 2014] (ELECTRE); from a network performance matrix, with tens of QoS parameters measured in different time periods, a maximizing deviation method based on ELECTRE principles [Chen & Hung, 2009] is used to determine the attribute weights; this leads directly to a ranking of network alternatives, based on the resulting values of an additive value function.…”

Section: Network Planning and Designmentioning

confidence: 99%

MCDA/M in Telecommunication Networks

Clímaco¹,

Craveirinha²

2019

Advanced Studies in Multi-Criteria Decision Making

View full text Add to dashboard Cite

The extremely rapid evolution of new telecommunication technologies and services and its interaction with a complex socio-economic environment, justifies the increasing interest in applying multi-criteria evaluation approaches in a wide variety of decision making processes involved in network planning and design. After a brief overview of critical evolutions in telecommunication network technologies and services, an outline analysis of issues and difficulties concerning the applications of multi-criteria decision aiding/making (MCDA/M) in telecommunication network planning and design, is described. Also highlights on more relevant or recent contributions of this type, in network design and planning models, including strategical and policy issues, will be presented. Finally, an analysis and outline discussion of current and future research trends and challenges concerning the use of multi-criteria approaches in these areas, is put forward.

show abstract

“…In reference [9], a network performance evaluation method is proposed for the entire network. This method is based on performance data metrics and applies the uncertain multiple attribute decision making theory.…”

Section: Network-effect Of Qos Correlationmentioning

confidence: 99%

A traffic-modeling approach to understanding the QoS correlations in network

Shen

2013

2013 15th IEEE International Conference on Communication Technology

View full text Add to dashboard Cite

A detailed understanding of the mechanism of guaranteeing quality of service (QoS) in the Internet is critical both for satisfying the requirements of users and improving the performance of network. Previous studies have focused on the macroscopic features of traffic distribution and seek for the optimal solutions based on one or more targets (e.g. delay, bandwidth) to allocate network resources. A traffic-modeling approach is proposed to reveal the potential QoS correlations in network. It is claimed that our model that incorporate hard technological constraints on router and link bandwidth and connectivity, together with abstract models of user demand and network performance, can successfully presents the QoS correlations. Further experiments are taken and the results show that this sort of correlations is characterized as diffusion and fluctuation in the scale of whole network. This conclusion interprets the common phenomenon of hotspots of network load move around and clarifies the necessity to introduce the demands of users for network performance evaluation.

show abstract

A novel network performance evaluation method based on maximizing deviations

Cited by 4 publications

References 8 publications

Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization

Study on Evaluating Innovation Ability of High-tech Industry Based on Particle Swarm Synthesis Optimization

MCDA/M in Telecommunication Networks

A traffic-modeling approach to understanding the QoS correlations in network

Contact Info

Product

Resources

About