Experimenting Content-Centric Networks in the future internet testbed environment

Guimaraes, Pedro Henrique V.; Ferraz, Lyno Henrique G.; Torres, João Vítor; Mattos, Diogo M. F.; P, Andres F. Murillo; L, Martin E. Andreoni; Alvarenga, Igor Drummond; Rodrigues, Claudia Susie C.; Duarte, Otto Carlos Muniz Bandeira

doi:10.1109/iccw.2013.6649453

Cited by 18 publications

(8 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It is shown in [6] that CCN performs better than TCP and also scales to numbers of requests to exponential magnitudes of nowadays needs. Similar results in [13] show that CCN introduces an overhead of 19% when compared with TCP/IP. But as the number of consumers increases, CCN outperforms TCP/IP and the download time in CCN is 25% less than it is in TCP/IP.…”

Section: Related Work and Discussionsupporting

confidence: 74%

NextServe Framework: Supporting Services over Content-Centric Networking

Mansour

Braun

Anastasiades

2014

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. The future Internet architecture aims to reformulate the way services and content objects are requested in a location-independent manner. Information-Centric Networking is a new network paradigm, which tries to achieve this goal by making content objects identified and requested by names instead of addresses. In this paper, we extend the Information-Centric Networking architecture to support services to be requested and invoked by names. We present the NextServe framework, which is a service framework with a human-readable self-explanatory naming scheme. NextServe is inspired by the object-oriented programming paradigm and is applicable in realworld scenarios.

show abstract

Section: Related Work and Discussionsupporting

confidence: 74%

NextServe Framework: Supporting Services over Content-Centric Networking

Mansour

Braun

Anastasiades

2014

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…Both approaches have similarities like the fact to use containers and virtual switches for the Virtual Network Infrastructure and the fact to follow the ETSI guidelines concerning the Management and Orchestration of NFV [8]. MiniCCNx [2] also uses similar technologies but to offer an emulation environment for experimentation rather than to build a production network, while the authors of [9] propose their Future Internet Testbed with Security architecture to perform ICN experiments.…”

Section: State Of the Art 21 Nfv And Sdn Initiatives For Icnsmentioning

confidence: 99%

μ NDN

Marchal

Cholez

Festor

2018

Proceedings of the 5th ACM Conference on Information-Centric Networking

View full text Add to dashboard Cite

As an extension of Network Function Virtualization, microservice architectures are a promising way to design future network services. At the same time, Information-Centric Networking architectures like NDN would benefit from this paradigm to offer more design choices for the network architect while facilitating the deployment and the operation of the network. We propose µNDN, an orchestrated suite of microservices as an alternative way to implement NDN forwarding and support functions. We describe seven essential micro-services we developed, explain the design choices behind our solution and how it is orchestrated. We evaluate each service alone and the whole microservice architecture through two realistic scenarios to show its ability to react and mitigate some performance and security issues thanks to the orchestration. Our results show that µNDN can replace a monolithic NDN forwarder while being more powerful and scalable.

show abstract

“…They (S REG , and S REQ ) are assumed to be 100 bytes, which is small packet. The data retrieval packet is similar to one data chunk in CCN, which is assumed to be 4 Kbytes, which is a default chunk size in the implementation [9], [29]. The file size, S Data , is assumed to be 1 gigabytes.…”

Section: Performance Investigationsmentioning

confidence: 99%

An Aggregatable Name-Based Routing for Energy-Efficient Data Sharing in Big Data Era

Harai

Asaeda

2015

IEEE Access

View full text Add to dashboard Cite

Big data strongly demands a network infrastructure having the capability to efficiently collect, process, cache, share, and deliver the data, instead of simple transmissions. Such network designs show the requirements of energy efficiency, availability, high performance, and data-aware intelligence. To meet these requirements, we adopt the information-centric networking (ICN) approach, where data are retrieved through names and in-network caching is utilized. However, as the typical existing ICN architectures, content centric network (CCN) cannot efficiently utilize the caches for data sharing because of the on-path caching strategy, and network of information (NetInf) demonstrates the resolution latency for data retrievals. To design an efficient and effective ICN architecture for big data sharing, we combine the strong points of CCN and NetInf, where information islands (IOIs) and management plane are utilized for direct data retrieval and global data discovery, respectively. We provide a reference architecture and propose an aggregatable namebased routing (ANBR), which can naturally enable consumers to retrieve the closest copy of information. In this network, each piece of data can be cached at one IOI at most once, which greatly improves the efficiency of cache usages. The consumers first try to retrieve the data in the local IOI, and then try to globally retrieve it from the closest IOI, holding the copy of the data if necessary. We investigate the impact from the key factor, IOI size, to the energy consumption of ANBR. It shows that energy consumption first decreases and then increases as the IOI size increases, and the optimized IOI size can be found for deployment. Furthermore, we study the relation between the optimized IOI size and the average retrieval times for the data. The result shows that the optimized IOI size increases as the average retrieval times increase.INDEX TERMS Big data, information centric network, CCN, energy-efficiency. VOLUME 3, 2015 2169-3536 2015 IEEE. Translations and content mining are permitted for academic research only. Personal use is also permitted, but republication/redistribution requires IEEE permission. See http://www.ieee.org/publications_standards/publications/rights/index.html for more information. 955 R. Li et al.: ANBR for Energy-Efficient Data Sharingthe Internet the difficulties in providing the highly available services for these applications [25].Therefore, it is time to re-consider the network infrastructure design for data sharing applications in the era of big data. We summarize four design requirements as follows. A. ENERGY-EFFICIENCYThe network should reduce redundant and duplicate traffic to optimize energy consumptions in data transmissions. It also should enable the data to be retrieved from the closest data copy holder. For the current implementation with data centers, the same data need to be delivered from data center, which might be far away, to a set of users one by one, which brings out large duplicate traffic overhead. B. AVAILABILITYThe network...

show abstract

Experimenting Content-Centric Networks in the future internet testbed environment

Cited by 18 publications

References 11 publications

NextServe Framework: Supporting Services over Content-Centric Networking

NextServe Framework: Supporting Services over Content-Centric Networking

μ NDN

An Aggregatable Name-Based Routing for Energy-Efficient Data Sharing in Big Data Era

Contact Info

Product

Resources

About