Providing personalized converged services based on flexible network reconfiguration

Hu, Yuxiang; Lan, Julong; Wu, Jiangxing

doi:10.1007/s11432-010-4165-8

Cited by 10 publications

(6 citation statements)

References 22 publications

(20 reference statements)

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“…The array element S[i] is the index of the component selected in the i-th candidate component set, for example, the solution CCM 2 ={C 13 , C 21 , C 32 , C 42 , C 54 } in Figure 2 can be encoded into the array S= [3,1,2,2,4]. So the initial solution can be obtained by randomly assigning a positive integer less than the size of the corresponding candidate component set to each element in S.…”

Section: A Generation Functionmentioning

confidence: 99%

“…However, network complexity and equipment cost are increasing, while transmission efficiency is reducing. Service-oriented Reconfigurable and Flexible Network (RFNet) [1] is proposed which is composed by Reconfigurable Routers (RR) [2] . The key technology of RFNet is component-based processing of RR, and this technology can reduce the process of constructing RSCNs into reconfigurable routing component selection, composition and deployment.…”

Section: Introductionmentioning

confidence: 99%

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A Solver for Performance-Aware Component Composition Problem in Reconfigurable Router

Wang¹,

Wu²,

Zhang³

et al. 2014

2014 IEEE 17th International Conference on Computational Science and Engineering

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One of the most fundamental issues in network virtualization is the virtualization of the substrate nodes. Reconfigurable Router (RR) realizes a flexible router architecture based on the idea of hardware virtualization which is performed by component-based processing and reconfiguration. But if the components are incompatible with each other in terms of performance, the RR will get lower performance. To overcome the incompatibility, in this paper, we propose a performance model for RR's components, and design a solver for the Performance-Aware Component Composition Problem (PACCP) which is an NP-hard problem. This solver uses simulated annealing to find the best component composition mode which satisfies all the performance compatibility constraints and has the lowest cost. It contains a generation function based on level attribute and a cost function based on violation degree. Our simulation resultsshow that the solver increases the component composition success rate (CSR) and convergence efficiency, while decreasing the composition cost.

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Section: A Generation Functionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Solver for Performance-Aware Component Composition Problem in Reconfigurable Router

Wang¹,

Wu²,

Zhang³

et al. 2014

2014 IEEE 17th International Conference on Computational Science and Engineering

Self Cite

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“…The RRM should fit into the overall picture of heterogeneous network management for next generation networks, which includes techniques such as access management, mobility management, secure management, power management, location management, and so on [99]. The work in [100] investigates the resource reconfiguration model of substrate physical networks and provides a service oriented network architecture as a network convergence primitive.…”

Section: Network Convergencementioning

confidence: 99%

A survey of next generation mobile communications research in China

Tian

Zheng

et al. 2011

Chin. Sci. Bull.

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With the rapid development of wireless communication networks, the fourth generation (4G) has emerged to move beyond the limitations of the third generation (3G), with increased bandwidth, enhanced quality of services, and reduced costs of resources. In this paper, we discuss the key technologies of 4G and focus on surveying the ongoing research in 4G communications in China. The 4G technologies under investigation include multicarrier transmission, multiple antenna techniques, carrier aggregation, relays, cognitive radio, distributed antenna systems, network convergence, and network self-optimization. These technologies are the building blocks of 4G and contribute largely to the requirements of International Mobile Telecommunications Advanced (IMT-Advanced). For each technology, its benefits, research topics, and some existing approaches are examined. Finally, we briefly discuss the challenges and future research issues in 4G systems. multicarrier transmission, multiple antenna techniques, carrier aggregation, relay, cognitive radio, distributed antenna system, network convergence, network self-optimization Citation:The limitations of the third generation (3G) and the rapid growth in user demands has called for more advanced and efficient technologies for new generation systems. The upcoming fourth generation (4G) mobile communication systems are expected to solve the still-remaining problems of 3G systems and to provide a wide variety of adaptable services for mobile and nomadic users by using integrated heterogeneous network infrastructure. Based on a comprehensive and secure internet protocol (IP) solution, various services, such as voice, video, broadcasting media, and Internet, will be provided to users with high data rates anytime and anywhere. This is also known as the always best connected concept stating that a user can have the best service connection regardless of time and location.According to the steadily increasing demands and technology developments, wireless communication evolution can be grouped into different generations of networks. Each new generation has brought advances that revolutionized the field of mobile communication. The first generation (1G), initiating commercial mobile voice services with analog techniques, built the basic structure of mobile communications and solved many fundamental problems such as the multiplexing frequency band, roaming across domains, non-interrupted communication in mobile circumstances, and so on. The second generation (2G) of wireless technology, which marked the switching of mobile communication technology from analog to digital, offered higher capacity and lower costs for network operators as well as messages and low-rate data services for users, by using a circuit switch infrastructure. Working under 2G's framework, 2.5G brought the internet into mobile personal communications based on a packet switched radio connection technique. 3G systems, a mixture of packet and circuit-switched networks, are committed to achieving greater network capacity

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“…In order to improve the configurability and adaptivity of Internet, various QoS support approaches and optimization technologies of transmission quality are proposed [1][2][3][4]. Furthermore, several network architectures and infrastructures (e.g., 4D architecture [5], SDN [6] and reconfigurable router [7]) make it possible to implement specific optimization on the network infrastructures by configuration or management.…”

Section: Introductionmentioning

confidence: 99%

Embedding and reconfiguration algorithms for service aggregation in network virtualization

Jiang

Lan

Wang

et al. 2014

Int J Communication

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Network virtualization and transmission quality optimization are promising techniques for future Internet. Previous researches on virtual network embedding focused on efficient utilization of network resources. In this paper, we present a virtual network embedding scheme that aims at improving the effect of transmission quality optimization. In order to enable more service benefit from optimization, the embedding algorithm presented in this paper follows the service aggregation embedding principle. We also develop a reconfiguration algorithm based on service aggregation and load balance. Simulation experiments demonstrate that the proposed algorithms can achieve good performance on service aggregation as well as efficient resource utilization. average of μ = 1000 time units. The date set contained 2000 VN requests. All the VN requests were randomly classified to 4 ToS, which were Application Control, Media-Oriented, Data, and Best Effort [1].The parameter settings of simulations were α = 0.15, ε 1 = 0.09, ε 2 = 0.1, k = 3, i = 10, and the reconfiguration period was 200 time units. We compared our algorithms with G-SP [13] and VNA [12], and moreover, compared the performance of VRSA with the performance without reconfiguration. SERVICE AGGREGATION VNE ALGORITHM

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Providing personalized converged services based on flexible network reconfiguration

Cited by 10 publications

References 22 publications

A Solver for Performance-Aware Component Composition Problem in Reconfigurable Router

A Solver for Performance-Aware Component Composition Problem in Reconfigurable Router

A survey of next generation mobile communications research in China

Embedding and reconfiguration algorithms for service aggregation in network virtualization

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