A Simplified Cloud Computing Network Architecture Using Future Internet Technologies

2012 ◽  
Vol 2 (5) ◽  
pp. 105-111
Author(s):  
Yu-Hunag Chu ◽  
Yao-Ting Chen ◽  
Yu-Chieh Chou ◽  
Min-Chi Tseng
Author(s):  
Yaman Parasher ◽  
Deepak Kedia ◽  
Prabhjot Singh

The advent of Cloud computing has acted as a catalyst for the design and deployment of scalable Internet of Things business models and applications. Therefore, IoT and Cloud are nowadays two very closely affiliated future internet technologies, which go hand in hand in non-trivial IoT deployments. Furthermore, most modern IoT ecosystems are cloud-based, as will be illustrated in the chapter. This chapter briefly introduces the main cloud computing and IoT standards.


2013 ◽  
Vol 8 ◽  
pp. 51-60 ◽  
Author(s):  
Alexandros Kaloxylos ◽  
J. Wolfert ◽  
Tim Verwaart ◽  
Carlos Maestre Terol ◽  
Christopher Brewster ◽  
...  

2014 ◽  
Vol 15 (9) ◽  
pp. 776-793 ◽  
Author(s):  
Han Qi ◽  
Muhammad Shiraz ◽  
Jie-yao Liu ◽  
Abdullah Gani ◽  
Zulkanain Abdul Rahman ◽  
...  

Author(s):  
Bhushana Samyuel Neelam ◽  
Benjamin A Shimray

: The ever-increasing dependency of the utilities on networking brought several cyber vulnerabilities and burdened them with dynamic networking demands like QoS, multihoming, and mobility. As the existing network was designed without security in context, it poses several limitations in mitigating the unwanted cyber threats and struggling to provide an integrated solution for the novel networking demands. These limitations resulted in the design and deployment of various add-on protocols that made the existing network architecture a patchy and complex network. The proposed work introduces one of the future internet architectures, which seem to provide abilities to mitigate the above limitations. Recursive internetworking architecture (RINA) is one of the future internets and appears to be a reliable solution with its promising design features. RINA extended inter-process communication to distributed inter-process communication and combined it with recursion. RINA offered unique inbuilt security and the ability to meet novel networking demands with its design. It has also provided integration methods to make use of the existing network infrastructure. The present work reviews the unique architecture, abilities, and adaptability of RINA based on various research works of RINA. The contribution of this article is to expose the potential of RINA in achieving efficient networking solutions among academia and industry.


Author(s):  
Javier E. De la Hoz Freyle ◽  
Elberto Carrillo Rincón ◽  
Luis Carlos Gómez Flórez

ABSTRACTNowadays the most valued asset of the organizations is their knowledge, who is embodiedinto routines, products, services and employees. Knowledge Management arises as a set of strategiessupported by Information Technologies (IT) that tries to leverage the knowledge resources at themaximumlevelto obtaincompetitiveadvantagesthrough newservicesand productscreation,as wellas improving the existing, optimizing the customers relationships, streamlining the time of routinesand serving information and knowledge to the employees on time. The Cloud Computing paradigmdefined by Gartner as: "a computing style where the IT capacities, scalable and elastic, are providedby a service to customers using internet technologies" offers a set of technological advantages to theorganizations that wants to incorporate it in their IT projects. Companies that start knowledge management initiatives, can leverage the Cloud Computing features to maximize the scope of their projects, and in that way obtain advantages among competition. In this paper will be exposed several waysabout how the organizations can upgrade their knowledge management strategies through Cloud Computing features.RESUMENActualmente el activo más preciado de las organizaciones es su conocimiento, el cual se encuentra dentro de las rutinas, productos, servicios y empleados. La Gestión del Conocimiento surge como una serie de estrategias soportadas por Tecnologías de Información (TI) que buscan aprovechar al máximo los recursos de conocimiento para obtener ventajas competitivas por medio de la creación de nuevos servicios y productos, así como la mejora de los existentes, optimización de las relaciones con los clientes, agilización del tiempo de las rutinas y entrega de Información y conocimientos a los empleados en el momento requerido. El paradigma Cloud Computing definido por Gartner como: “un estilo de computación donde las capacidades TI, escalables y elásticas, son proveídas como un servicio a clientes usando tecnologías de internet” ofrece una serie de ventajas tecnológicas para las organizaciones que decidan a hacer uso de este en sus proyectos de TI. Las entidades que emprendan iniciativas de gestión del conocimiento, pueden aprovecharse de las características de Cloud Computing para maximizar el alcance de las mismas y así obtener ventajas con respecto a sus competidores en el mercado. En esta ponencia se expondrán varias maneras de como las organizaciones pueden poten-ciar sus estrategias de gestión del conocimiento a través de las ventajas y características que ofrece Cloud Computing.


Author(s):  
Salvatore Distefano ◽  
Antonio Puliafito

Cloud computing is the new consolidated trend in ICT, often considered as the panacea to all the problems of existing large-scale distributed paradigms such as Grid and hierarchical clustering. The Cloud breakthrough is the service oriented perspective of providing everything “as a service”. Different from the others large-scale distributed paradigms, it was born from commercial contexts, with the aim of selling the temporarily unexploited computing resources of huge datacenters in order to reduce the costs. Since this business model is really attractive and convenient for both providers and consumers, the Cloud paradigm is quickly growing and widely spreading, even in non commercial context. In fact, several activities on the Cloud, such as Nimbus, Eucalyptus, OpenNEbula, and Reservoir, etc., have been undertaken, aiming at specifying open Cloud infrastructure middleware.


2020 ◽  
pp. 1042-1059 ◽  
Author(s):  
Ammar Almomani ◽  
Mohammad Alauthman ◽  
Firas Albalas ◽  
O. Dorgham ◽  
Atef Obeidat

This article describes how as network traffic grows, attacks on traffic become more complicated and harder to detect. Recently, researchers have begun to explore machine learning techniques with cloud computing technologies to classify network threats. So, new and creative ways are needed to enhance intrusion detection system. This article addresses the source of the above issues through detecting an intrusion in cloud computing before it further disrupts normal network operations, because the complexity of malicious attack techniques have evolved from traditional malicious attack technologies (direct malicious attack), which include different malicious attack classes, such as DoS, Probe, R2L, and U2R malicious attacks, especially the zero-day attack in online mode. The proposed online intrusion detection cloud system (OIDCS) adopts the principles of the new spiking neural network architecture called NeuCube algorithm. It is proposed that this system is the first filtering system approach that utilizes the NeuCube algorithm. The OIDCS inherits the hybrid (supervised/unsupervised) learning feature of the NeuCube algorithm and uses this algorithm in an online system with lifelong learning to classify input while learning the system. The system is accurate, especially when working with a zero-day attack, reaching approximately 97% accuracy based on the to-be-remembered (TBR) encoding algorithm.


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