Navegando por Assunto "Cloud computing"

Agora exibindo 1 - 4 de 4

Acesso aberto (Open Access)
Uma análise técnico-econômica para implantação de arquiteturas centralizadas de redes de telefonia móveis
(Universidade Federal do Pará, 2018-03-06) SOUZA, Daniel da Silva; CARDOSO, Diego Lisboa; http://lattes.cnpq.br/0507944343674734
Upon the the challenges proposed by the fifth generation of mobile networks, the architecture of C-RAN (Centralized Radio Acess Network) has gained space by supporting high-capacity ultra-densas networks of next generation and offering economies. This dissertation proposes a TCO (Total Cost of Ownership) for C-RAN, CAPEX (Capital Expenditure), OPEX (Operational Expenditure) and these are the fundamental criteria in the field of investment assessment and projection. It is soon presented with a higher level of detailing as to the investment aspects, which are of great relevance to the architectural landscape of mobile communication networks. In this way, this work is conducted in order to evaluate the economic context of the implementation of a centralized architecture, based mainly on the financial aspects that service operators need to plan before deploying a new Mobile Access Network. The proposed model is used in a case study where the total cost of implementation and operation of the distributed and centralized architectures is compared taking into account several specific scenarios. The results point to an economy in the centralized scenarios and highlight the most relevant economic aspects in the planning of C-RAN.
Acesso aberto (Open Access)
Desenvolvimento de monitoração na geração fotovoltaica em comunidades isoladas
(Universidade Federal do Pará, 2023-04-26) GONÇALVES, Francisco Reginaldo Conceição; VIEIRA JÚNIOR, Petronio; http://lattes.cnpq.br/1958791286192330
Nowadays, photovoltaic solar energy represents a significant portion of all electricity consumed in the world. It is crucial to develop tools for monitoring the solar system that aim to maintain generation productivity and mitigate security risks. This work presents a proposal for a development platform for monitoring photovoltaic generation for isolated communities, consisting of generation simulation, data transmission, database and supervisory system. The mathematical model used in the simulation is based on a system being implemented by the Automation Technology Group (GTA) at the Electrical Engineering Laboratory of the UFPA University Campus in Belém. Data are obtained by simulation and are transmitted to the cloud through a NodeMCU ESP8266 microcontroller. The computer, in addition to performing the simulation to obtain photovoltaic generation data, also accesses the clouds, acquiring data for the supervisory. The supervisory system is developed on the Internet of Things (IoT) platforms Thingspeak and Cloud Database, allowing the detection and diagnosis of failures. Measures such as solar radiation intensity, temperature, humidity, electric voltage and electric current are analyzed in order to diagnose faults. Through cloud computing, data is stored and made available in real time, with ample capacity and mobility, allowing remote monitoring of the system. Database tools with dedicated interfaces are used, as well as platforms focused on the internet of things. The photovoltaic generation is being implemented in an experimental bench, and the parameters of the simulated model have the same amplitudes as the real model, which has 1 solar panel with a maximum power of 130W, a maximum voltage of 17.6V and a maximum current of 7.39A. The perspective of this work is to improve the supply of electricity to isolated communities through remote monitoring of the generation system, with social and economic impact.
Acesso aberto (Open Access)
A Multi-tier fog architecture for video on demand streaming
(Universidade Federal do Pará, 2018-03-05) SANTOS, Hugo Leonardo Melo dos; CERQUEIRA, Eduardo Coelho; http://lattes.cnpq.br/1028151705135221
Users are changing their traditional communication paradigm based on voice calls or text messages to real-time or on demand video services consumed on mobile devices. In this sense, the transmission of video content considering an adequate Quality of Experience (QoE) in mobile wireless networking infrastructures is a critical issue in both academic and industrial communities. Furthermore, video on demand have a growing consumption over Internet requiring higher bandwidth and lower latency. In this context, a fog computing paradigm can enhance the user experience in wireless networks. Fog computing for video on demand streaming can improve QoE by both video caching and adaptation schemes. However, it is important to evaluate the performance of downloading the videos with diferent codec con_guration and cached closer to the user to measure the gain from the user perspective. We designed a multi-tier fog computing architecture with three levels located in the cloud, nearer the edge and in mobile devices. We evaluated the performance of downloading the video from multiple tier located in distinct geographical with a multimedia application. We assessed in an experimental environment with idle and congested network of streamed videos coded into H.264 and H.265 with three bitrates in a scenario deployed in the FIBRE testbed. We collected QoE metrics, playback start time, freeze times, QoS metric, round-time trip, and energy consumption to analyze the gains for each video configuration. These results showed an important understanding about cache, codec and bitrate schemes in multimedia networking scenarios.
Acesso aberto (Open Access)
Otimização da alocação de recursos em datacenters hierarquicamente distribuídos
(Universidade Federal do Pará, 2018-12-19) VIEIRA, Rafael Fogarolli; CARDOSO, Diego Lisboa; http://lattes.cnpq.br/0507944343674734
The rapidly increasing volume of services and applications, in addition to the high wireless access demand, are significant challenges for the next generation of mobile networks. The growth in the volume of applications is the reflection of the quantity of “things” that are being connected to the network and generating a huge data traffic. A new paradigm that is gaining recognition in the field of wireless networks, and is also responsible for part of this growth in the volume of services and applications, is the Internet of Things. The high amount of data that is generated by connecting those devices to the network will require significant computational resources to be processed and stored. A prominent approach to handling such large amount of data is the use of Cloud Computing, which uses datacenters for storage and data processing. However, traditional Cloud Computing, which has centralized resources, is not able to handle the high volume of data and the strict latency and Quality of Service requirements. Thus, to address such adversities, a new emerging concept known as Edge Cloud Computing has been proposed as an extension of the traditional Cloud Computing, bringing computational resources to the edge of the network and thereby creating a hierarchy of datacenters. In this way, the stricter requirements from services and applications, such as obtaining near-instant user experience, can be satisfied. In this work, a mathematical formulation for the dimensioning and provisioning of a hierarchy of DCs is proposed. According to the obtained results, the hierarchy of DCs provisioned and dimensioned using the proposed model can be better when compared to the others, being able to allocate 99% of the set of applications that were used in the tests and to decrease the data flow in the backhaul links that is generated by the high number of applications the would circulate through the network. The analysis highlight the necessity of bringing computational resources to the network’s edge in addition to an efficient applications allocation strategy in order to guarantee a better network performance.