• Title/Summary/Keyword: Networks architecture

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Multidomain Network Based on Programmable Networks: Security Architecture

  • Alarco, Bernardo;Sedano, Marifeli;Calderon, Maria
    • ETRI Journal
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    • v.27 no.6
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    • pp.651-665
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    • 2005
  • This paper proposes a generic security architecture designed for a multidomain and multiservice network based on programmable networks. The multiservice network allows users of an IP network to run programmable services using programmable nodes located in the architecture of the network. The programmable nodes execute codes to process active packets, which can carry user data and control information. The multiservice network model defined here considers the more pragmatic trends in programmable networks. In this scenario, new security risks that do not appear in traditional IP networks become visible. These new risks are as a result of the execution of code in the programmable nodes and the processing of the active packets. The proposed security architecture is based on symmetric cryptography in the critical process, combined with an efficient manner of distributing the symmetric keys. Another important contribution has been to scale the security architecture to a multidomain scenario in a single and efficient way.

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A Seamless Flow Mobility Management Architecture for Vehicular Communication Networks

  • Meneguette, Rodolfo Ipolito;Bittencourt, Luiz Fernando;Madeira, Edmundo Roberto Mauro
    • Journal of Communications and Networks
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    • v.15 no.2
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    • pp.207-216
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    • 2013
  • Vehicular ad-hoc networks (VANETs) are self-organizing, self-healing networks which provide wireless communication among vehicular and roadside devices. Applications in such networks can take advantage of the use of simultaneous connections, thereby maximizing the throughput and lowering latency. In order to take advantage of all radio interfaces of the vehicle and to provide good quality of service for vehicular applications, we developed a seamless flow mobility management architecture based on vehicular network application classes with network-based mobility management. Our goal is to minimize the time of flow connection exchange in order to comply with the minimum requirements of vehicular application classes, as well as to maximize their throughput. Network simulator (NS-3) simulations were performed to analyse the behaviour of our architecture by comparing it with other three scenarios. As a result of this work, we observed that the proposed architecture presented a low handover time, with lower packet loss and lower delay.

An Architecture to Support Power Saving Transmission Services with Route Stability in Mobile Ad-hoc Wireless Networks

  • An, Beong-Ku;Kim, Nam-Soo
    • Journal of Ubiquitous Convergence Technology
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    • v.1 no.1
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    • pp.35-41
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    • 2007
  • In mobile ad-hoc wireless networks, one of the most important challenging issues is how to conserve energy, maximizing the lifetime of route(networks) in the view points of both power and mobility of nodes. However, many transmission methods presented in the previous works can not satisfy these two objectives simultaneously. To obtain these two goals, in this paper we propose an architecture to support power saving transmission services with route stability in mobile ad-hoc wireless networks. The proposed architecture consists of two parts, the underlying route stability method to support route(network) lifetime and the power saving transmission methods. The performance evaluation of the proposed architecture is achieved via simulation and analysis.

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An Integration Architecture for the ATM Customer Network Management (ATM 고객망관리를 위한 통합 구조에 대한 연구)

  • Jon
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.22 no.4
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    • pp.823-832
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    • 1997
  • As enterprises use ATM networks for their private networks and as these private networks use public ATM networks for wide area communication, the need for the customers to be able to manage both private and public networks. Currently, some standardization work is being done towards providing this capability to customers. In this paper, we propose a new customer network management (CNM) system architecture for the management of both ATM a private network and a public network in a uniform way. The particular features of the proposed architecture lies in the efficient support of the complex hierarchial TMN manager-agent relationships at M3 and M4 interfaces, and the support of SNMP and CMIP integration which is necessary for the implementation of a CNM system. The TMN hierarchical many-to-many manager-agent relationships are realized by the utilization of CORBA-Based SMK (Shared Management Knowledge) implementation. We have also implemented the prototype of a ATM CNM system, and measures the performance for the demonstration of the suitability of the proposed architecture.

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A study of architecture to network internetworing in modebile networks (이동 네트워크에서 망연동 구조에 대한 연구)

  • Park, Sangjoon;Lee, Jongchan;Shin, Sungyun;Park, Gi-Hong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.10a
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    • pp.677-678
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    • 2012
  • The B3G network architecture by the connection of access network is divided into two forms:tightly-coupled networks and loosely-coupled networks. In this paper, we consider the tightly-coupled networks in the internetworking architecture of mobile network.

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Federated Architecture of Multiple Neural Networks : A Case Study on the Configuration Design of Midship Structure (다중 인공 신경망의 Federated Architecture와 그 응용-선박 중앙단면 형상 설계를 중심으로)

  • 이경호;연윤석
    • Korean Journal of Computational Design and Engineering
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    • v.2 no.2
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    • pp.77-84
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    • 1997
  • This paper is concerning the development of multiple neural networks system of problem domains where the complete input space can be decomposed into several different regions, and these are known prior to training neural networks. We will adopt oblique decision tree to represent the divided input space and sel ect an appropriate subnetworks, each of which is trained over a different region of input space. The overall architecture of multiple neural networks system, called the federated architecture, consists of a facilitator, normal subnetworks, and tile networks. The role of a facilitator is to choose the subnetwork that is suitable for the given input data using information obtained from decision tree. However, if input data is close enough to the boundaries of regions, there is a large possibility of selecting the invalid subnetwork due to the incorrect prediction of decision tree. When such a situation is encountered, the facilitator selects a tile network that is trained closely to the boundaries of partitioned input space, instead of a normal subnetwork. In this way, it is possible to reduce the large error of neural networks at zones close to borders of regions. The validation of our approach is examined and verified by applying the federated neural networks system to the configuration design of a midship structure.

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Synergy: An Overlay Internetworking Architecture and Implementation

  • Kwon, Min-Seok;Fahmy, Sonia
    • Journal of Communications and Networks
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    • v.12 no.2
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    • pp.181-190
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    • 2010
  • A multitude of overlay network designs for resilient routing, multicasting, quality of service, content distribution, storage, and object location have been proposed. Overlay networks offer several attractive features, including ease of deployment, flexibility, adaptivity, and an infrastructure for collaboration among hosts. In this paper, we explore cooperation among co-existing, possibly heterogeneous, overlay networks. We discuss a spectrum of cooperative forwarding and information sharing services, and investigate the associated scalability, heterogeneity, and security problems. Motivated by these services, we design Synergy, a utility-based overlay internetworking architecture that fosters overlay cooperation. Our architecture promotes fair peering relationships to achieve synergism. Results from Internet experiments with cooperative forwarding overlays indicate that our Synergy prototype improves delay, throughput, and loss performance, while maintaining the autonomy and heterogeneity of individual overlay networks.

A Systematic Study of Network Firewall and Its Implementation

  • Alsaqour, Raed;Motmi, Ahmed;Abdelhaq, Maha
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.199-208
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    • 2021
  • This is an era of technology and with the rapid growth of the Internet, networks are continuously growing. Companies are shifting from simple to more complex networks. Since networks are responsible to transmit huge data which is often sensitive and a point of concern for hackers. Despite the sizes of the networks, all networks are subject to several threats. Companies deploy several security measures to protect their networks from unauthorized access. These security measures are implemented from the device level to the network level. Every security layer adds more to the security of the company's network. Firewalls are the piece of software that provides internal and external security of the network. Firewalls aim to enhance the device level as well as network-level security. This paper aims to investigate the different types of firewalls, their architecture, and vulnerabilities of the firewall. This paper improves the understanding of firewall and its various types of architecture.

An Approximate DRAM Architecture for Energy-efficient Deep Learning

  • Nguyen, Duy Thanh;Chang, Ik-Joon
    • Journal of Semiconductor Engineering
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    • v.1 no.1
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    • pp.31-37
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    • 2020
  • We present an approximate DRAM architecture for energy-efficient deep learning. Our key premise is that by bounding memory errors to non-critical information, we can significantly reduce DRAM refresh energy without compromising recognition accuracy of deep neural networks. To validate the key premise, we make extensive Monte-Carlo simulations for several well-known convolutional neural networks such as LeNet, ConvNet and AlexNet with the input of MINIST, CIFAR-10, and ImageNet, respectively. We assume that the highest-order 8-bits (in single precision) and 4-bits (in half precision) are protected from retention errors under the proposed architecture and then, randomly inject bit-errors to unprotected bits with various bit-error-rates. Here, recognition accuracies of the above convolutional neural networks are successfully maintained up to the 10-5-order bit-error-rate. We simulate DRAM energy during inference of the above convolutional neural networks, where the proposed architecture shows the possibility of considerable energy saving up to 10 ~ 37.5% of total DRAM energy.

Improved Selective Randomized Load Balancing in Mesh Networks

  • Zhang, Xiaoning;Li, Lemin;Wang, Sheng;Yang, Fei
    • ETRI Journal
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    • v.29 no.2
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    • pp.255-257
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    • 2007
  • We propose an improved selective randomized load balancing (ISRLB) robust scheme under the hose uncertainty model for a special double-hop routing network architecture. The ISRLB architecture maintains the resilience properties of Valiant's load balancing and reduces the network cost/propagation delay in all other robust routing schemes.

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