A software development kit to exploit RINA programmability

Maffione, Vincenzo; Salvestrini, Francesco; Grasa, Eduard; Bergesio, Leonardo; Tarzán, Miquel

doi:10.1109/icc.2016.7510711

Cited by 19 publications

(13 citation statements)

References 20 publications

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“…All RINA layers use the same 2 protocols: a data transfer protocol called EFCP (error and flow control protocol) and an object‐oriented application protocol called CDAP (common distributed application protocol) that carries all the information exchanged by layer management tasks (usually known as control plane in TCP/IP terms). Both protocols are adapted to the different requirements of each layer via policies . Policies are a set of variable behaviors that can customize the different mechanisms available in the 2 protocols.…”

Section: Recursive Internetwork Architecturementioning

confidence: 99%

“…Both protocols are adapted to the different requirements of each layer via policies. 19 Policies are a set of variable behaviors that can customize the different mechanisms available in the 2 protocols. For example, acknowledgements are a mechanism built into the data transfer protocol (ie, EFCP), but when to acknowledge is a policy.…”

Section: Recursive Internetwork Architecturementioning

confidence: 99%

“…Such limitations of the TCP/IP protocol suite for efficient routing inside DCs have been known for a long time being not originally designed for well‐defined (eg, leaf spine) DCNs while being very inflexible to improvements . In contrast to the rigidness of the TCP/IP protocol suite, the clean‐slate recursive internetwork architecture (RINA)() enables a programmable environment where the network administrator can freely configure quality of service (QoS), forwarding, routing, or security policies. This opens the path to the deployment of policies tailored to the specific characteristics and needs of any network environment.…”

Section: Introductionmentioning

confidence: 99%

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Scalable topological forwarding and routing policies in RINA‐enabled programmable data centers

Gaixas

Perelló

Careglio

et al. 2017

Trans Emerging Tel Tech

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This is the peer reviewed version of the following article: Leon Gaixas S, Perelló J, Careglio D, Grasa E, López DR, Aranda PA. Scalable topological forwarding and routing policies in RINA-enabled programmable data centers. Trans Emerging Tel Tech. 2017;28:e3256, DOI 10.1002/ett.3256, which has been published in final form at DOI: 10.1002/ett.3256. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-ArchivingGiven the current expansion of cloud computing, the expected advent of the Internet of Things, and the requirements of future fifth-generation network infrastructures, significantly larger pools of computational and storage resources will soon be required. This emphasizes the need for more scalable data centers that are capable of providing such an amount of resources in a cost-effective way. A quick look into today's commercial data centers shows that they tend to rely on variations of well-defined leaf-spine/Clos data center network (DCN) topologies, offering low latency, ultrahigh bisectional bandwidth, and enhanced reliability against concurrent failures. However, DCNs are typically restricted by the use of the Transmission Control Protocol/Internet Protocol (TCP/IP) suite, thus suffering limited routing scalability. In this work, we study the benefits that replacing TCP/IP with the recursive internetwork architecture (RINA) can bring into commercial DCNs, focusing on forwarding and routing scalability. We quantitatively evaluate the benefits that RINA solutions can yield against those based on TCP/IP and highlight how, by deploying RINA, topological routing solutions can improve even more the efficiency of the network. To this goal, we propose a rule-and-exception forwarding policy tailored to the characteristics of several DCN variants, enabling fast forwarding decisions with merely neighbors' information. Upon failures, few exceptions are necessary, whose computation can also profit from the known topology. Extensive numerical results show that the proposed policy requirements depend mainly on the number of neighbors and concurrent failures in the DCN rather than its size, dramatically reducing the amount of forwarding and routing information stored at DCN nodes.Peer ReviewedPostprint (author's final draft

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Section: Recursive Internetwork Architecturementioning

confidence: 99%

Section: Recursive Internetwork Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Scalable topological forwarding and routing policies in RINA‐enabled programmable data centers

Gaixas

Perelló

Careglio

et al. 2017

Trans Emerging Tel Tech

Self Cite

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“…O resultado dessa avaliação demonstrou que é possível empilhar várias DIFs na estrutura da RINA para trabalhar com datacenter distribuído, além disso a possibilidade de implementar diversas funcionalidades tais como segurança, multihoming e roteamento nas DIFs. Outro trabalho relacionado é o de [Maffione, 2016] que concerne à programabilidade de uma API para desenvolvimento de políticas e avaliação de desempenho dos algoritmos de controle de congestionamento, especificamente, TCP-RED 1 e Jain-PS 2 também direcionado para o protótipo. Porém, o foco maior é na avaliação dos algoritmos de controle de congestionamento os quais foram implementados no framework RINA-SDK.…”

Section: Trabalhos Relacionadosunclassified

Estudo comparativo do desempenho da transferência de dados nas arquiteturas RINA e TCP/IP

Filho¹,

Monteiro²

2017

Anais Do Workshop Em Desempenho De Sistemas Computacionais E De Comunicação (WPerformance)

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A arquitetura atual da Internet apresenta limitações que interferem no seu desenvolvimento. Devido ao crescimento acentuado de novas demandas de aplicações, o modelo TCP/IP (Transmission Control Protocol / Internet Protocol) apresenta limitações tornando-o complexo. A Arquitetura Recursiva Interredes (RINA) é uma proposta de arquitetura para a Internet do futuro baseada na comunicação entre processos que propõe soluções para resolver as principais limitações na estrutura da Internet convencional. Este artigo apresenta um estudo comparativo do desempenho da transferência de dados nas arquiteturas RINA e TCP/IP. Os resultados obtidos levam à conclusão de que a arquitetura RINA apresenta um desempenho melhor em relação à arquitetura TCP/IP quando os atrasos de propagação são insuficientes para interferir na transmissão dos dados. Além do mais, através da análise exploratória dos dados, quando observados grandes atrasos, RINA, através dos mecanismos de controle, resolve com mais eficácia o problema do congestionamento devido à sua natureza recursiva em relação ao modelo TCP/IP.

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“…The IRATI [11] project was funded through the FIRE initiative and developed a first RINA implementation for GNU/Linux systems. PRISTINE [12] extended the IRATI prototype with scalable solutions for security, seamless mobility, routing and reliability. These projects have deployed the prototypes to perform small-scale integration tests in order to validate RINA and its policies.…”

Section: Introductionmentioning

confidence: 99%

Rumba: A python framework for automating large-scale Recursive Internet Experiments on GENI and FIRE+

Vrijders

Staessens

Capitani

et al. 2018

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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A number of recent EU-funded projects have been investigating the Recursive Internet Architecture (RINA). IRATI built an initial prototype implementation, which was extended by the PRISTINE project towards technology demonstrators showing the feasibility of the architecture and demonstrating how RINA tackles security and reliability and how it can simplify network management. Currently, ARCFIRE sets out to evaluate realistic network scenarios, scaling up experiments in terms of numbers of nodes, services and running time. In this paper we present Rumba, a free open source experimentation framework developed within ARCFIRE in order to drastically reduce the time required to deploy and conduct such large experiments. Rumba is powerful yet easy to use. It provides a simple abstraction to model the RINA network as well as APIs for reserving testbed resources, installing the prototype, configuring and bootstrapping the recursive network, running the experiment scenario, collecting the results data and releasing the testbed resources. Rumba provides QEMU, jFed and emulab support to run experiments on a local machine or on various US and EU testbeds provided by GENI and FIRE+. Our experiences show that Rumba reduces the time required to configure and run large experiments using the RINA prototypes by several orders of magnitude.

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A software development kit to exploit RINA programmability

Cited by 19 publications

References 20 publications

Scalable topological forwarding and routing policies in RINA‐enabled programmable data centers

Scalable topological forwarding and routing policies in RINA‐enabled programmable data centers

Estudo comparativo do desempenho da transferência de dados nas arquiteturas RINA e TCP/IP

Rumba: A python framework for automating large-scale Recursive Internet Experiments on GENI and FIRE+

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