Neural Network Model of QoE for Estimation Video Streaming over 5G network

International audienceWith the rapid increasing demand of commercial video streaming, the satisfaction of the end user is becoming more and more important to measure and assure.The quality of experience (QoE) is defined as the measure of the overall level of customer satisfaction with the usage of a service provided by a vendor. Many works have addressed this issue in many different scenarios in cellular networks however most of these works have addressed video streaming over LTE networks (Long Term Evolution network). Up to day, there are few contributions of work that address the QoE over 5G network since there still still some challenges in this later to address. In this paper, we present the specific aspects we consider important in the evolution from 4G to 5G in term of traffic management and a solution to estimate this QoE in this new context. We adopted an approach based on Neural Network (NN) to estimate the QoE parameters. NN have been successfully used in many domains where it was difficult to derive an exact analytical model of the system so is the case of the 5G network

Blockchain Technology: A new secured Electronic Health Record System

International audienceNowadays, health systems are looking for effective ways to manage more patients in a shorter time, and to increase the quality of care through better coordination to provide quick, accurate and non-invasive diagnostics to patients. This paper aims to solve the dependence on trusted third parties by proposing a new management strategy, storage and security in a decentralized network through Blockchain technology. The proposed system also aims to offer a solution to help healthcare professionals to be informed of the slightest changes made in a patient's file in order to reduce medical error rates , but also by allowing them to consult them transparently if they are authorized

A Two-stage RRH Clustering Mechanism in 5G Heterogeneous C-RAN

International audienceCloud Radio Access Network (Cloud RAN) is one of the most promising mobile architectures for 5G networks. The basic concept of Cloud RAN is to separate the digital baseband processing units (BBUs) of conventional cell sites, from the Remote Radio Heads (RRHs), and virtualize their functions in the cloud for centralized signal processing and management. In conventional RAN architectures, one BBU is assigned to one RRH in order to maximize network capacity. However, Cloud RAN may establish a one to many logical mapping, so as to enhance network energy efficiency. This paper addresses RRH clustering problem in heterogeneous C-RAN. The proposed clustering mechanism aims to reduce network power consumption, without compromising user QoS (Quality of Service)

Service Orchestrator in Cloud RAN based Edge Cloud

International audienceFifth generation of mobile networks (5G) is designed to introduce a multitude of new services which require higher processing resources and lower latency. Cloud Radio Access Network (Cloud RAN) is one of the most promising solutions for next generation networks. The basic idea of C-RAN is to migrate Baseband Units (BBU) to the cloud for a centralized processing and management. In our work, we propose to extend C-RAN architecture with an edge cloud: the Cloud RRH in order to enhance the quality of service (QoS). In this paper we propose a service orchestrator in the Cloud RAN based edge cloud in order to enhance resources utilization while keeping a good QoS

ANALISIS SEMIOTIKA PRAGMATIK, NILAI PENDIDIKAN LIRIK LAGU “MERAH”, “HIJAU”, “KUNING” ALBUM SINESTESIA BAND EFEK RUMAH KACA, DAN KETERKAITANNYA DENGAN MODEL PEMBELAJARAN DISCOVERY DALAM PENGAJARAN PUISI DI SMP

Penelitian ini bertujuan: (1) Mendeskripsikan makna lirik lagu “Merah”, “Hijau, “Kuning” dalam album Sinestesia band Efek Rumah Kaca secara umum dengan menggunakan semiotika pragmatik Charles Sanders Peirce (2) Mendeskripsikan nilai pendidikan karya sastra yang mencakup nilai pendidikan moral, sosial, budaya, dan agama lirik lagu “Merah”, “Hijau, “Kuning” dalam album Sinestesia band Efek Rumah Kaca (3) Mendeskripsikan keterkaitan analisis semiotika pragmatik dengan penggunaan model pembelajaran discovery dalam pengajaran puisi di SMP. Penelitian ini merupakan penelitian deskriptif kualitatif. Subjek penelitian ini adalah peneliti sendiri. Objek penelitian adalah lirik lagu “Merah”, “Hijau”, “Kuning” dalam album Sinestesia band Efek Rumah Kaca. Data dianalisis dengan teknik deskriptif kualiatif yang menghasilkan data deskriptif berupa kalimat atau kata yang terdapat dalam lirik lagu “Merah”, “Hijau, “Kuning” dalam album Sinestesia band Efek Rumah Kaca. Cara pengumpulan data dilakukan dengan teknik wawancara, dokumentasi, dan observasi. Teknik keabsahan data dilakukan dengan triangulasi sumber dan waktu. Hasil penelitian ini menunjukkan bahwa setiap judul lagu memiliki kekhasannya masing-masing. Lirik “Merah” membahas mengenai politik, “Hijau” tentang isu lingkungan politik dan lingkungan hidup, sedangkan “Kuning” membahas tentang kehidupan umat beragama. Nilai pendidikan karya sastra dalam lirik lagu hanya ditemukan tiga, yaitu nilai pendidikan moral, sosial, dan agama. Ada keterkaitan analisis semiotika pragmatik terhadap penggunaan model pembelajaran discovery dalam pengajaran puisi

FOCALE: A Novel Autonomic Networking Architecture

Network resources will always be heterogeneous, and thus have different functionalities and programming models. This can be solved through the combination of information models and knowledge engineering, which together can be used to discover and program semantically similar functionality for heterogeneous devices regardless of the data and language used by each device. This paper introduces FOCALE, a semantically rich architecture for orchestrating the behavior of heterogeneous and distributed computing resources. We apply the FOCALE architecture to Beyond 3G Networks as a case study

Taking Benefit of Diversity in RAN to Offload Delay-tolerant Traffic and Improve End-Users QoE

International audienceSince the introduction of smartphones and tablets into the market, mobile data traffic has shown an exponential growth. To cope with such mobile data explosion, offloading techniques were proposed. The main aim of offloading is to avoid transporting unnecessary traffic in costly networks without creating any additional incremental revenue. Offloading is addressed in this paper where we focus on the the interworking between 3GPP access and WiFi. Thus, we propose an economical model for offloading, capturing simultaneously the subscribers' conditions and the operators' preferences. Such model enables the operators to specify an offload strategy to increase their economical benefits without impacting their subscribers QoE

SLA4CLOUD: Measurement and SLA Management of Heterogeneous Cloud Infrastructures Testbeds

International audienceThere is an increasing number of cloud platforms emerging in both academia and industry. They often allow the collaboration of a pool of resources from multiple infrastructures (IaaS) in order to benefit from the unique features that each presents. AmSud SLA4CLOUD project is a collaboration between research groups from South America and France on Cloud Computing with the aim to develop different offers of Cloud Service with Service a Level Agreement (SLA) representation. This project builds on different existing projects such as the EU Easi-Clouds project. After introducing the main capabilities and features of OpenStack, this document addresses the integration of OpenStack-based platforms into a larger and heterogeneous multi-cloud infrastructures distributed in different continents. Finally, we aim to implement a strategy for dynamic services composition and optimal placement of virtual machines in order to improve network capabilities without compromising performance requirements as specified in a SLA