Performance Measurement of Name-Centric Content Distribution Methods

Yuan, Haowei; Crowley, Patrick

doi:10.1109/ancs.2011.43

Cited by 11 publications

(6 citation statements)

References 3 publications

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“…A comprehensive description of CCN can be found in [12]. Many simulation and experimental testbeds have been done in, e.g., [31]. Mangili et al [19] proposed a performance model for CCN to compare with CDN.…”

Section: Related Workmentioning

confidence: 99%

Optimal Cache Placement for an Academic Backbone Network

Hau¹,

Kakimura

Kawarabayashi

et al. 2018

JORSJ

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Deploying caches on a network is an effective way to reduce the amount of data transmitted in a network. Recently, in an academic backbone network such as SINET (the Science Information Network) in Japan, the amount of transmitted data has significantly increased. It is desired to design an efficient mechanism to allocate caches in an optimal way. In this paper, we begin by formulating a discrete optimization model to find a cache allocation that minimizes the total transmission cost. We then design two efficient algorithms to solve our proposed model. The first one makes use of the fact that a backbone network has small treewidth. The algorithm runs in polynomial time when the number of items is fixed and a graph has a bounded treewidth. The other one reduces the problem to the minimum-cost flow problem under the practical assumption that each item has at most one copy. This yields a polynomial-time combinatorial algorithm. Our numerical experiments on the real SINET network show that our algorithms can solve the cache placement problem efficiently in practice.

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Section: Related Workmentioning

confidence: 99%

Optimal Cache Placement for an Academic Backbone Network

Hau¹,

Kakimura

Kawarabayashi

et al. 2018

JORSJ

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“…We noticed that the performance of some CCNx applications, especially those written in Java, was severely limited by the CPU which has been attributed to packet encoding [11] and heavy state management [12]. Therefore, we first evaluated the three different file retrieval applications ccngetfile, ccncat and ccncatchunks2 (results not depicted) and chose the last one because it showed the best performance.…”

Section: A Measurement Setupmentioning

confidence: 99%

CCN forwarding strategies for multihomed mobile terminals

Schneider

Mast

Krieger

2015

2015 International Conference and Workshops on Networked Systems (NetSys)

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Current IP-based networks are unable to fully exploit the capabilities of the increasing number of multihomed mobile terminals. We argue that Content-Centric Networking (CCN), a novel networking architecture based on named information objects, can fill the gap. In this paper, we elicit requirements for CCN packet forwarding on multihomed mobile terminals. We categorize CCN forwarding strategies according to their ability to fulfill these requirements and provide a realworld performance evaluation in the current CCNx prototype implementation. Moreover, we describe the initial design of an advanced multipath forwarding strategy.

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“…Even though NULL mode does not involve the process of segment authentication, it has a limited transmission performance. That is because in CCNx protocol execution content name encoding/decoding procedure is significantly time consuming [26,27]. TLDA with 1024-bit (resp., 2048-bit) key size provides the best performance of 76.506 Mbps (resp., 75.956 Mbps) when MHT size is 16 (resp., 64) while CCNx with 1024-bit (resp., 2048-bit) key size offers the best performance of 55.356 Mbps (resp., 40.571 Mbps) when MHT size is 32 (resp.…”

Section: Computational Performance and Overhead Analysismentioning

confidence: 99%

TLDA: An Efficient Two-Layered Data Authentication Mechanism for Content-Centric Networking

Seo

Youn

2018

Security and Communication Networks

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Content-Centric Networking (CCN) is a new networking paradigm for the future Internet, which shifts the communication paradigm from host-centric to data-centric. In CCN, contents are routed by their unique names and they are stored in network nodes by units of segment during transmission for future usage. Since contents are stored in network nodes in a distributed manner, security is built into CCN data packets by embedding a public key signature to enable any content requesters to verify authenticity and integrity of contents. However, the use of public key signatures for authenticating CCN data packets incurs significant overhead regarding computation and communication, which limits universal utilization of CCN. Furthermore, this can lead to a new kind of DDoS attacks. Even though CCN adopts an aggregate signature method based on Merkle Hash Tree (MHT) in its reference implementation, it still incurs large amount of overhead. This paper presents TLDA, an efficient Two-Layered Data Authentication mechanism, which can considerably reduce overhead of computation and communication for authenticating data segments in CCN. For efficiency of computation and communication, TLDA newly introduces the concept of authentication Meta part consisting of data segments' hash values. To a great extent TLDA not only reduces the computation and communication overhead compared with CCN's basic authentication method, but also provides robustness against transmission loss and out-of-order transmission.We have implemented TLDA and demonstrated that it provides 74.3% improved throughput and 36.557% reduced communication overhead compared to those of the original CCNx library developed by PARC when transmitting a 128Mbyte content in units of 1Kbyte segment with RSA-2048 and SHA-256 as its signature algorithm and hash algorithm, respectively.

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Performance Measurement of Name-Centric Content Distribution Methods

Cited by 11 publications

References 3 publications

Optimal Cache Placement for an Academic Backbone Network

Optimal Cache Placement for an Academic Backbone Network

CCN forwarding strategies for multihomed mobile terminals

TLDA: An Efficient Two-Layered Data Authentication Mechanism for Content-Centric Networking

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