Towards an Opportunistic, Socially-driven, Self-organizing, Cloud Networking Architecture with NovaGenesis

نویسندگان

  • Antônio Marcos Alberti
  • Waldir Moreira
  • Rodrigo da Rosa Righi
  • Francisco J. Pereira Neto
  • Ciprian Dobre
  • Dhananjay Singh
چکیده

The exponential growth on the number of mobile devices and their capabilities are leveraging new possibilities of networking architectures for processing, storing, and exchanging of information. At a glance, existing architectures take advantage of these devices, the social behavior of their users, and/or the dynamicity on resource usage. Despite of the potential of existing initiatives, they do not interoperate which reduce their applications and deployment. As we walk towards a very dynamic world (regarding the user needs and characteristics, the information traversing the network, and the networking capability to adapt), these architectures should merge into a solution that fits any type of scenario. In this paper, we specify an opportunistic, socially-driven, selforganizing, cloud networking architecture using a future Internet proposal named NovaGenesis. We highlight the requirements and solutions that NovaGenesis brings in to accommodate the inherent challenges of today’s dynamic networking scenario, describing a convergent architecture, which integrates the new requirements with the already implemented NovaGenesis features.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Converging Future Internet, "Things", and Big Data: A Specification Following NovaGenesis Model

The convergence of Internet of “things” (IoT) with big data platforms and cloud computing is already happening. However, the vast majority, if not all the proposals are based on the current Internet technologies. The convergence of IoT, big data and cloud in “clean slate” architectures is an unexplored topic. In this article, we discuss this convergence considering the viewpoint of a “clean sla...

متن کامل

Towards Confidential Cloud - Based Image Processing

Message from the Review Board Directors 2 Towards Confidential Cloud-Based Image Processing 3 A short review for “2DCrypt: Image Scaling and Cropping in Encrypted Domains” (Edited by Pradeep K. Atrey) Managing QoE in 5G Wireless Networking with Personalized Data 5 A short review for “A Data-Driven Architecture for Personalized QoE Management in 5G Wireless Networks” (Edited by Wei Wang) Data-As...

متن کامل

Social-based autonomic routing in opportunistic networks

In opportunistic networks end-to-end communication between users does not require a continuous end-to-end path between source and destination. Network protocols are designed to be extremely resilient to events such as long partitions, node disconnections, etc, which are very features of this type of self-organizing ad hoc networks. This is achieved by temporarily storing messages at intermediat...

متن کامل

Autonomie, sécurité et QoS de bout en bout dans un environnement de Cloud Computing. (Security, QoS and self-management within an end-to-end Cloud Computing environment)

Today, Cloud Networking is one of the recent research areas within the Cloud Computing research communities. The main challenges of Cloud Networking concern Quality of Service (QoS) and security guarantee as well as its management in conformance with a corresponding Service Level Agreement (SLA). In this thesis, we propose a framework for resource allocation according to an end-to-end SLA estab...

متن کامل

SO-Net: Self-Organizing Network for Point Cloud Analysis

This paper presents SO-Net, a permutation invariant architecture for deep learning with orderless point clouds. The SO-Net models the spatial distribution of point cloud by building a Self-Organizing Map (SOM). Based on the SOM, SO-Net performs hierarchical feature extraction on individual points and SOM nodes, and ultimately represents the input point cloud by a single feature vector. The rece...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2015