896 research outputs found
The Road Ahead for Networking: A Survey on ICN-IP Coexistence Solutions
In recent years, the current Internet has experienced an unexpected paradigm
shift in the usage model, which has pushed researchers towards the design of
the Information-Centric Networking (ICN) paradigm as a possible replacement of
the existing architecture. Even though both Academia and Industry have
investigated the feasibility and effectiveness of ICN, achieving the complete
replacement of the Internet Protocol (IP) is a challenging task.
Some research groups have already addressed the coexistence by designing
their own architectures, but none of those is the final solution to move
towards the future Internet considering the unaltered state of the networking.
To design such architecture, the research community needs now a comprehensive
overview of the existing solutions that have so far addressed the coexistence.
The purpose of this paper is to reach this goal by providing the first
comprehensive survey and classification of the coexistence architectures
according to their features (i.e., deployment approach, deployment scenarios,
addressed coexistence requirements and architecture or technology used) and
evaluation parameters (i.e., challenges emerging during the deployment and the
runtime behaviour of an architecture). We believe that this paper will finally
fill the gap required for moving towards the design of the final coexistence
architecture.Comment: 23 pages, 16 figures, 3 table
Distributed Data-Gathering and -Processing in Smart Cities: An Information-Centric Approach
The technological advancements along with the proliferation of smart and connected devices (things) motivated the exploration of the creation of smart cities aimed at improving the quality of life, economic growth, and efficient resource utilization. Some recent initiatives defined a smart city network as the interconnection of the existing independent and heterogeneous networks and the infrastructure. However, considering the heterogeneity of the devices, communication technologies, network protocols, and platforms the interoperability of these networks is a challenge requiring more attention. In this paper, we propose the design of a novel Information-Centric Smart City architecture (iSmart), focusing on the demand of the future applications, such as efficient machineto-machine communication, low latency computation offloading, large data communication requirements, and advanced security. In designing iSmart, we use the Named-Data Networking (NDN) architecture as the underlying communication substrate to promote semantics-based communication and achieve seamless compute/data sharing
Service Provisioning in Edge-Cloud Continuum Emerging Applications for Mobile Devices
Disruptive applications for mobile devices can be enhanced by Edge computing facilities. In this context, Edge Computing (EC) is a proposed architecture to meet the mobility requirements imposed by these applications in a wide range of domains, such as the Internet of Things, Immersive Media, and Connected and Autonomous Vehicles. EC architecture aims to introduce computing capabilities in the path between the user and the Cloud to execute tasks closer to where they are consumed, thus mitigating issues related to latency, context awareness, and mobility support. In this survey, we describe which are the leading technologies to support the deployment of EC infrastructure. Thereafter, we discuss the applications that can take advantage of EC and how they were proposed in the literature. Finally, after examining enabling technologies and related applications, we identify some open challenges to fully achieve the potential of EC, and also research opportunities on upcoming paradigms for service provisioning. This survey is a guide to comprehend the recent advances on the provisioning of mobile applications, as well as foresee the expected next stages of evolution for these applications
Next Generation Cloud Computing: New Trends and Research Directions
The landscape of cloud computing has significantly changed over the last
decade. Not only have more providers and service offerings crowded the space,
but also cloud infrastructure that was traditionally limited to single provider
data centers is now evolving. In this paper, we firstly discuss the changing
cloud infrastructure and consider the use of infrastructure from multiple
providers and the benefit of decentralising computing away from data centers.
These trends have resulted in the need for a variety of new computing
architectures that will be offered by future cloud infrastructure. These
architectures are anticipated to impact areas, such as connecting people and
devices, data-intensive computing, the service space and self-learning systems.
Finally, we lay out a roadmap of challenges that will need to be addressed for
realising the potential of next generation cloud systems.Comment: Accepted to Future Generation Computer Systems, 07 September 201
Incrementando as redes centradas à informaçãopara uma internet das coisas baseada em nomes
The way we use the Internet has been evolving since its origins. Nowadays,
users are more interested in accessing contents and services with high demands
in terms of bandwidth, security and mobility. This evolution has triggered
the emergence of novel networking architectures targeting current, as
well as future, utilisation demands. Information-Centric Networking (ICN) is a
prominent example of these novel architectures that moves away from the current
host-centric communications and centres its networking functions around
content.
Parallel to this, new utilisation scenarios in which smart devices interact with
one another, as well as with other networked elements, have emerged to constitute
what we know as the Internet of Things (IoT). IoT is expected to have
a significant impact on both the economy and society. However, fostering the
widespread adoption of IoT requires many challenges to be overcome. Despite
recent developments, several issues concerning the deployment of IPbased
IoT solutions on a large scale are still open.
The fact that IoT is focused on data and information rather than on point-topoint
communications suggests the adoption of solutions relying on ICN architectures.
In this context, this work explores the ground concepts of ICN
to develop a comprehensive vision of the principal requirements that should
be met by an IoT-oriented ICN architecture. This vision is complemented with
solutions to fundamental issues for the adoption of an ICN-based IoT. First,
to ensure the freshness of the information while retaining the advantages of
ICN’s in-network caching mechanisms. Second, to enable discovery functionalities
in both local and large-scale domains. The proposed mechanisms are
evaluated through both simulation and prototyping approaches, with results
showcasing the feasibility of their adoption. Moreover, the outcomes of this
work contribute to the development of new compelling concepts towards a
full-fledged Named Network of Things.A forma como usamos a Internet tem vindo a evoluir desde a sua criação.
Atualmente, os utilizadores estão mais interessados em aceder a conteúdos
e serviços, com elevados requisitos em termos de largura de banda, segurança
e mobilidade. Esta evolução desencadeou o desenvolvimento de novas
arquiteturas de rede, visando os atuais, bem como os futuros, requisitos de
utilização. As Redes Centradas à Informação (Information-Centric Networking
- ICN) são um exemplo proeminente destas novas arquiteturas que, em vez
de seguirem um modelo de comunicação centrado nos dispositivos terminais,
centram as suas funções de rede em torno do próprio conteúdo.
Paralelamente, novos cenários de utilização onde dispositivos inteligentes interagem
entre si, e com outros elementos de rede, têm vindo a aparecer e
constituem o que hoje conhecemos como a Internet das Coisas (Internet of
Things - IoT ). É esperado que a IoT tenha um impacto significativo na economia
e na sociedade. No entanto, promover a adoção em massa da IoT ainda
requer que muitos desafios sejam superados. Apesar dos desenvolvimentos
recentes, vários problemas relacionados com a adoção em larga escala de
soluções de IoT baseadas no protocolo IP estão em aberto.
O facto da IoT estar focada em dados e informação, em vez de comunicações
ponto-a-ponto, sugere a adoção de soluções baseadas em arquiteturas
ICN. Neste sentido, este trabalho explora os conceitos base destas soluções
para desenvolver uma visão completa dos principais requisitos que devem ser
satisfeitos por uma solução IoT baseada na arquitetura de rede ICN. Esta visão
é complementada com soluções para problemas cruciais para a adoção
de uma IoT baseada em ICN. Em primeiro lugar, assegurar que a informação
seja atualizada e, ao mesmo tempo, manter as vantagens do armazenamento
intrÃnseco em elementos de rede das arquiteturas ICN. Em segundo lugar,
permitir as funcionalidades de descoberta não só em domÃnios locais, mas
também em domÃnios de larga-escala. Os mecanismos propostos são avaliados
através de simulações e prototipagem, com os resultados a demonstrarem
a viabilidade da sua adoção. Para além disso, os resultados deste
trabalho contribuem para o desenvolvimento de conceitos sólidos em direção
a uma verdadeira Internet das Coisas baseada em Nomes.Programa Doutoral em Telecomunicaçõe
How to bring machine learning in industrial networks?
International audienceIndustry 4.0 opens new opportunities and challenges. One of these challenges is to provide a set of open and standardized technologies. The long life IT technologies such Ethernet and Wi-Fi can be considered as potential candidate. In this article, we present the industry 4.0 and related technologies like historical and candidate network technologies for the industry , IIoT and cognitive networks. We propose a concept using cognitive networks combined with machine learning to make IT networking technologies compliant with industrial requirements
Cooperative-hierarchical based edge-computing approach for resources allocation of distributed mobile and IoT applications
Using mobile and Internet of Things (IoT) applications is becoming very popular and obtained researchers’ interest and commercial investment, in order to fulfill future vision and the requirements for smart cities. These applications have common demands such as fast response, distributed nature, and awareness of service location. However, these requirements’ nature cannot be satisfied by central systems services that reside in the clouds. Therefore, edge computing paradigm has emerged to satisfy such demands, by providing an extension for cloud resources at the network edge, and consequently, they become closer to end-user devices. In this paper, exploiting edge resources is studied; therefore, a cooperative-hierarchical approach for executing the pre-partitioned applications’ modules between edges resources is proposed, in order to reduce traffic between the network core and the cloud, where this proposed approach has a polynomial-time complexity. Furthermore, edge computing increases the efficiency of providing services, and improves end-user experience. To validate our proposed cooperative-hierarchical approach for modules placement between edge nodes’ resources, iFogSim toolkit is used. The obtained simulation results show that the proposed approach reduces network’s load and the total delay compared to a baseline approach for modules’ placement, moreover, it increases the network’s overall throughput
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