• Title/Summary/Keyword: ICN(: Information-Centric Network)

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SD-ICN: Toward Wide Area Deployable Software Defined Information Centric Networking

  • Xing, Changyou;Ding, Ke;Hu, Chao;Chen, Ming;Xu, Bo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.5
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    • pp.2267-2285
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    • 2016
  • Information Centric Networking that uses content name instead of IP address as routing identifier can handle challenges such as traffic explosion and user mobility, but it also suffers from scalability and incompatibility problems. In this paper by combining the concept of software defined networking and Internet end to end arguments, we propose a wide area deployable software defined information centric networking service model named SD-ICN. SD-ICN employs a dual space structure that separates edge service network and core transmission network. The enhanced SDN techniques are used in edge service network in order to implement intelligent data routing and caching, while traditional IP technique is reserved in core transmission network so as to provide wide area high speed data transmission. Besides, a distributed name resolution system based on the cooperation of different controllers is also presented. The prototype experiments in our campus network show that SD-ICN can be deployed in a scalable and incremental way with no modification of the core network, and can support typical communication modes such as multicast, mobility, multihoming, load balancing, and multipath data transmission effectively.

Comparison and Analysis of Name-Based Routing Protocols for Information-Centric Network (정보 중심 네트워크를 위한 이름 기반 라우팅 프로토콜의 비교 및 분석)

  • Kim, Jung-Jae;Ryu, Min-Woo;Cha, Si-Ho;Cho, Kuk-Huyn
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.4
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    • pp.1969-1975
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    • 2013
  • ICN (Information-Centric Network) is a next generation Internet communication technology for converting existing Internet communication paradigm to information-based communication paradigm to efficiently use a large amount of information that exists on the Internet. Therefore, unlike existing Internet communication technologies focused on the process of communication using the host address, ICN focuses on the purpose of communication for each information by defining the information of everything that exists on the Internet. For this purpose, ICN uses NbR (Name-based Routing) methods that assign a name to each piece of information, all routers participating in ICN have the physical storage so that they are able to share information with each other. NbR methods on ICN are divided into one-phase routing and two-phase routing depending on how to reach at the storage of each router. However, currently proposed NbR methods cause many problems because they do not reflect the unique characteristics of ICN. Therefore, this paper looked at various NbR issues from caching, access time, distribution, mobility, scaliability, and dissemination of information for an efficient NbR method, and analyzed existing methods proposed for ICN. This paper also proposed a research direction to study the efficient NbR for ICN based on the analysis information.

Deep Learning based Loss Recovery Mechanism for Video Streaming over Mobile Information-Centric Network

  • Han, Longzhe;Maksymyuk, Taras;Bao, Xuecai;Zhao, Jia;Liu, Yan
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.9
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    • pp.4572-4586
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    • 2019
  • Mobile Edge Computing (MEC) and Information-Centric Networking (ICN) are essential network architectures for the future Internet. The advantages of MEC and ICN such as computation and storage capabilities at the edge of the network, in-network caching and named-data communication paradigm can greatly improve the quality of video streaming applications. However, the packet loss in wireless network environments still affects the video streaming performance and the existing loss recovery approaches in ICN does not exploit the capabilities of MEC. This paper proposes a Deep Learning based Loss Recovery Mechanism (DL-LRM) for video streaming over MEC based ICN. Different with existing approaches, the Forward Error Correction (FEC) packets are generated at the edge of the network, which dramatically reduces the workload of core network and backhaul. By monitoring network states, our proposed DL-LRM controls the FEC request rate by deep reinforcement learning algorithm. Considering the characteristics of video streaming and MEC, in this paper we develop content caching detection and fast retransmission algorithm to effectively utilize resources of MEC. Experimental results demonstrate that the DL-LRM is able to adaptively adjust and control the FEC request rate and achieve better video quality than the existing approaches.

An Overview of Content Poisoning in NDN: Attacks, Countermeasures, and Direction

  • Im, Hyeonseung;Kim, Dohyung
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.7
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    • pp.2904-2918
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    • 2020
  • With a huge demand for replicated content on the Internet, a new networking paradigm called information-centric networking (ICN) has been introduced for efficient content dissemination. In ICN, named content is distributed over the network cache and it is accessed by name instead of a location identifier. These aspects allow users to retrieve content from any of the nodes having replicas, and consequently 1) network resources are more efficiently utilized by avoiding redundant transmission and 2) more scalable services are provided by distributing server loads. However, in-network caching in ICN brings about a new type of security issues, called content poisoning attacks, where fabricated content is located in the network cache and interferes with the normal behavior of the system. In this paper, we look into the problems of content poisoning in ICN and discuss security architectures against them. In particular, we reconsider the state-of-the-art schemes from the perspective of feasibility, and propose a practical security architecture.

Cross-layer Video Streaming Mechanism over Cognitive Radio Ad hoc Information Centric Networks

  • Han, Longzhe;Nguyen, Dinh Han;Kang, Seung-Seok;In, Hoh Peter
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.8 no.11
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    • pp.3775-3788
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    • 2014
  • With the increasing number of the wireless and mobile networks, the way that people use the Internet has changed substantively. Wireless multimedia services, such as wireless video streaming, mobile video game, and mobile voice over IP, will become the main applications of the future wireless Internet. To accommodate the growing volume of wireless data traffic and multimedia services, cognitive radio (CR) and Information-Centric Network (ICN) have been proposed to maximize the utilization of wireless spectrum and improve the network performance. Although CR and ICN have high potential significance for the future wireless Internet, few studies have been conducted on collaborative operations of CR and ICN. Due to the lack of infrastructure support in multi-hop ad hoc CR networks, the problem is more challenging for video streaming services. In this paper, we propose a Cross-layer Video Streaming Mechanism (CLISM) for Cognitive Radio Ad Hoc Information Centric Networks (CRAH-ICNs). The CLISM included two distributed schemes which are designed for the forwarding nodes and receiving nodes in CRAH-ICNs. With the cross-layer approach, the CLISM is able to self-adapt the variation of the link conditions without the central network controller. Experimental results demonstrate that the proposed CLISM efficiently adjust video transmission policy under various network conditions.

QuLa: Queue and Latency-Aware Service Selection and Routing in Service-Centric Networking

  • Smet, Piet;Simoens, Pieter;Dhoedt, Bart
    • Journal of Communications and Networks
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    • v.17 no.3
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    • pp.306-320
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    • 2015
  • Due to an explosive growth in services running in different datacenters, there is need for service selection and routing to deliver user requests to the best service instance. In current solutions, it is generally the client that must first select a datacenter to forward the request to before an internal load-balancer of the selected datacenter can select the optimal instance. An optimal selection requires knowledge of both network and server characteristics, making clients less suitable to make this decision. Information-Centric Networking (ICN) research solved a similar selection problem for static data retrieval by integrating content delivery as a native network feature. We address the selection problem for services by extending the ICN-principles for services. In this paper we present Queue and Latency, a network-driven service selection algorithm which maps user demand to service instances, taking into account both network and server metrics. To reduce the size of service router forwarding tables, we present a statistical method to approximate an optimal load distribution with minimized router state required. Simulation results show that our statistical routing approach approximates the average system response time of source-based routing with minimized state in forwarding tables.

An ICN In-Network Caching Policy for Butterfly Network in DCN

  • Jeon, Hongseok;Lee, Byungjoon;Song, Hoyoung;Kang, Moonsoo
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.7
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    • pp.1610-1623
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    • 2013
  • In-network caching is a key component of information-centric networking (ICN) for reducing content download time, network traffic, and server workload. Data center network (DCN) is an ideal candidate for applying the ICN design principles. In this paper, we have evaluated the effectiveness of caching placement and replacement in DCN with butterfly-topology. We also suggest a new cache placement policy based on the number of routing nodes (i.e., hop counts) through which travels the content. With a probability inversely proportional to the hop counts, the caching placement policy makes each routing node to cache content chunks. Simulation results lead us to conclude (i) cache placement policy is more effective for cache performance than cache replacement, (ii) the suggested cache placement policy has better caching performance for butterfly-type DCNs than the traditional caching placement policies such as ALWASYS and FIX(P), and (iii) high cache hit ratio does not always imply low average hop counts.

Survey on Publish/Subscribe Communication Technologies based on Information Centric Networking (정보중심네트워크 기반의 Pub/Sub 통신 연구동향)

  • Jung, H.Y.;Kim, S.M.
    • Electronics and Telecommunications Trends
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    • v.33 no.5
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    • pp.86-94
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    • 2018
  • Information-Centric Networking (ICN) has been recognized as a new networking technology for the upcoming data-centric 4th industrial revolution based society. In addition, it has noted that Pub/Sub-style communication is rapidly growing in areas including big data processing and microservice as well as the existing Internet of Things and social networking technologies. Therefore, ICN is highly needed to efficiently support Pub/Sub-style communication for successful deployment as a next-generation network infrastructure technology. This paper summarizes the recent research trends of Pub/Sub communication technologies over ICN, and discusses future research issues.

Content-Aware D2D Caching for Reducing Visiting Latency in Virtualized Cellular Networks

  • Sun, Guolin;Al-Ward, Hisham;Boateng, Gordon Owusu;Jiang, Wei
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.2
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    • pp.514-535
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    • 2019
  • Information-centric networks operate under the assumption that all network components have built-in caching capabilities. Integrating the caching strategies of information centric networking (ICN) with wireless virtualization improves the gain of virtual infrastructure content caching. In this paper, we propose a framework for software-defined information centric virtualized wireless device-to-device (D2D) networks. Enabling D2D communications in virtualized ICN increases the spectral efficiency due to reuse and proximity gains while the software-defined network (SDN) as a platform also simplifies the computational overhead. In this framework, we propose a joint virtual resource and cache allocation solution for latency-sensitive applications in the next-generation cellular networks. As the formulated problem is NP-hard, we design low-complexity heuristic algorithms which are intuitive and efficient. In our proposed framework, different services can share a pool of infrastructure items. We evaluate our proposed framework and algorithm through extensive simulations. The results demonstrate significant improvements in terms of visiting latency, end user QoE, InP resource utilization and MVNO utility gain.

A novel architecture of CCN for better security and applicability (향상된 보안 및 적용 가능성을 위한 컨텐츠 중심 네트워킹(CCN)의 새로운 아키텍처 연구)

  • Sharma, Aashis;Kim, Yun Seon
    • Journal of the Korea Society for Simulation
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    • v.26 no.1
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    • pp.21-38
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    • 2017
  • Information Centric Networking is changing the way how content is being transmitted. The shift from IP and host based networking towards content based networking scenario is growing day by day. Many researches have been done about different frameworks of ICN. Caching is an important part of ICN and many researchers have also proposed different ways for caching the data. With caching of data in intermediate devices like the network devices as well the user devices in some cases, the issue of content security as well as the role of the content producer becomes a major concern. A modified ICN architecture based on the current Content Centric Networking (CCN) model is presented in the paper. The architecture mainly focuses on involving the content producer in content delivery in the real time. The proposed architecture provides better security aspects for the CCN architecture. Apart from security the paper will also consider the issue of applicability of CCN architecture to replace the TCP/IP based architecture. The efficiency of the proposed architecture is compared with the previous CCN architecture based on the response time for a content delivery which shows very comparable level of efficiency. The paper than analyzes different beneficial aspects of the proposed architecture over the current architecture.