Abstract

Video traffic on networks increases exponentially, and thus the amount of time that should be used browsing content catalogs. Therefore, systems are needed video on demand [VoD] taking into account the emotions as a parameter for fast access to content. This paper presents the design and implementation of a VoD service based on emotions, whose main components are: the musical content catalog forming and hardware-software system that allows you to set the level of mental stress and inference of emotions of the consumer, while it interacts with the system. The final product was tested for efficiency and stress, with satisfactory results: the time spent by the web server with 200 sequential connections, ranged from 0.050 to 0.675 seconds and between 0.030 and 0.675 seconds when they are simultaneous. It also managed to respond adequately to 20,000 sequential connections, with response times of less than 1 to 36 seconds, and withstand, without collapsing, 18,000 concurrent connections, with response times between 7 and 62 seconds. The project provides an open source service that raises the groundwork for future projects.

Highlights

  • The Video on Demand [VoD] service is widespread on the Internet (Pripuzic et al, 2013), since it enables the user to order video a la carte and access to high-quality multimedia content

  • Despite the benefits of VoD service, a set of problems that hinders the user experience, is the case of the growth of multimedia catalogs, time browsing through them and limited input methods to navigate through multimedia content

  • Implementation and evaluation of VoD service based on emotions four phases were developed: The first phase, proposal VoD service based on emotions, was modeled through a functional diagram of the service and each of its components; in the second phase it was described and selected the technologies used for the development of VoD service; in the third, the functional service architecture was designed and conducted implementation, in order to obtain a product to be evaluated; and the fourth VoD service was evaluated through load testing and stress, in order to assess the responsiveness of the service

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Summary

Introduction

The Video on Demand [VoD] service is widespread on the Internet (Pripuzic et al, 2013), since it enables the user to order video a la carte and access to high-quality multimedia content. An alternative to the better characterization of the profile of a user is the concept of Internet of Things [IoT] (Evans, 2011; Buyya & Dastjerdi, 2016) This trend seeks to improve the Internet model by connecting web between different electronic devices called “things or objects,” which belong to contexts such as education, health, agriculture, etc., as well as commercially, it has appeared a set of devices that allow information from user context, called: wearable devices (Mukhopadhyay, 2015). These can help in the development of daily activities and monitoring of biomedical signals, and make better use of user data and so a better characterization of their profile

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