[Show abstract][Hide abstract] ABSTRACT: Service relocation represents a promising strategy to provide flexible and resource efficient resiliency from link failures in the optical cloud environment. However, when a failure affects a node hosting a datacenter (DC), service relocation from the affected DC is not possible. One alternative to protect against DC failures relies on using design strategies that duplicate the IT (i.e., storage and processing) resources in a backup DC at the expense of increasing resource overbuild (i.e., cost) of the network. This work proposes a dimensioning strategy based on the shared-path shared-computing (SPSC) concept able to protect against any single link, server, or DC failure scenario with minimal resource overbuild for the network and IT infrastructures. SPSC is based on the intuition that only storage units need complete replication in backup DC, while processing units can be instantiated only after the occurrence of a failure, leaving the design strategy some leeway to minimize their number. As result, the proposed SPSC design shows a considerable reduction in the amount of backup resources when compared to the dedicated protection strategies.
16th International Conference on High Performance Switching and Routing (IEEE HPSR 2015); 07/2015
[Show abstract][Hide abstract] ABSTRACT: This article describes the creation of a prototype and educational applications for children using the platform of the Brazilian's Digital TV System. The mains objective of these products is to determine the best way to provide content for children's learning through Digital TV, that is a significant problem since that kind of public thinks that television is only for entertainment. Resumo. Este artigo descreve a criação de um protótipo e aplicações educativas para crianças, utilizando como mecanismo de difusão a plataforma do Sistema Brasileiro de TV Digital. O objetivo principal dos produtos criados é verificar a melhor forma de disponibilizar o conteúdo para aprendizagem infantil por meio da TV Digital, sendo que este problema é considerável uma vez que esse tipo de público tem a televisão somente como um meio de entretenimento.
[Show abstract][Hide abstract] ABSTRACT: This work presents two technologies for Centralized Radio Access Network Architecture (C-RAN) based on Digital Radio over Fiber (DRoF) respectively SCM (Subcarrier Multiplexing) and WDM (Wavelength Division Multiplexing). The simulation analysis is discussed by evaluating the impact of the digitized process on the system performance, complexity and cost. Results indicates that SCM-DRoF has a acceptable BER performance for fiber links up to 20 km and WDM-DRoF can reach up to 40 km. However, WDM-DRoF uses a greater number of components compared to SCM-DRoF and it can generates a higher cost as well. Both setup can be used applied to C-RAN architecture considering this aspects.
2014 International Telecommunications Symposium, São Paulo, Brasil; 08/2014
[Show abstract][Hide abstract] ABSTRACT: In this paper, we propose a hybrid methodology based on Graph-Coloring and Genetic Algorithm (GA) to solve the Wavelength Assignment (WA) problem in optical networks, impaired by physical layer effects. Our proposal was developed for a static scenario where the physical topology and traffic matrix are known a priori. First, we used fixed shortest-path routing to attend demand requests over the physical topology and the graph-coloring algorithm to minimize the number of necessary wavelengths. Then, we applied the genetic algorithm to solve WA. The GA finds the wavelength activation order on the wavelengths grid with the aim of reducing the Cross-Phase Modulation (XPM) effect; the variance due to the XPM was used as a function of fitness to evaluate the feasibility of the selected WA solution. Its performance is compared with the First-Fit algorithm in two different scenarios, and has shown a reduction in blocking probability up to 37.14% when considered both XPM and residual dispersion effects and up to 71.42% when only considered XPM effect. Moreover, it was possible to reduce by 57.14% the number of wavelengths.
Journal of Microwaves, Optoelectronics and Electromagnetic Applications 06/2014; 13(1):1-15. DOI:10.1590/S2179-10742014000100001 · 0.35 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: In Smart Grids, a variety of new applications are available to users of the electrical system (from consumers to the electric system operators and market operators). Some applications such as the SCADA systems, which control generators or substations, have consequences, for example, with a communication delay. The result of a failure to deliver a control message due to noncompliance of the time constraint can be catastrophic. On the other hand, applications such as smart metering of consumption have fewer restrictions. Since each type of application has different quality of service requirements (importance, delay, and amount of data to transmit) to transmit its messages, the policy to control and share the resources of the data communication network must consider them. In this paper Markov Decision Process Theory is employed to determine optimal policies to explore as much as possible the availability of throughput in order to transmit all kinds of messages, considering the quality of service requirements defined to each kind of message. First a non-preemptive model is formulated and after that a preemptive model is derived. Numerical results are used to compare FIFO, non-preemptive and preemptive policies.
Journal of Microwaves, Optoelectronics and Electromagnetic Applications 01/2014; 13(2):122-138. DOI:10.1590/S2179-10742014000200002 · 0.35 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: This work presents challenges in evaluating and monitoring digital inclusion training programs, considering the aspects inherent in large-scale training, and report the main challenges in an approach based on network learning. For this, our goals are as follows: develop an architecture to provide all interface features with communication tools, data collection, automatic notification (alerts) of interest to those involved in training and proposal, and survey analyses; employ algorithms to measure the centrality, prestige, and density of interactions in a real case and consolidated training based on learning network; employ algorithms to correlate and measure, in probabilistic terms, the effects of participation in the interaction tools and the use of the resources and activities proposed; and improve a large-scale training program from the implementation of monitoring and tracking services offered in the architecture.
[Show abstract][Hide abstract] ABSTRACT: The use of wireless local area networks, called WLANs, as well as the proliferation of the use of multimedia applications have grown rapidly in recent years. Some factors affect the quality of service (QoS) received by the user and interference is one of them. This work presents strategies for planning and performance evaluation through an empirical study of the QoS parameters of a voice over Internet Protocol (VoIP) application in an interference network, as well as the relevance in the design of wireless networks to determine the coverage area of an access point, taking into account several parameters such as power, jitter, packet loss, delay, and PMOS. Another strategy is based on a hybrid approach that considers measuring and Bayesian inference applied to wireless networks, taking into consideration QoS parameters. The models take into account a cross layer vision of networks, correlating aspects of the physical environment, on the signal propagation (power or distance) with aspects of VoIP applications (e.g., jitter and packet loss). Case studies were carried out for two indoor environments and two outdoor environments, one of them displaying main characteristics of the Amazon region (e.g., densely arboreous environments). This last test bed was carried out in a real system because the Government of the State of Pará has a digital inclusion program called NAVEGAPARÁ.
Journal of Microwaves, Optoelectronics and Electromagnetic Applications 06/2013; 12(1):84-101. DOI:10.1590/S2179-10742013000100008 · 0.35 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: The Brazilian electrical utility companies must meet continuity indicators for energy supply, which are represented by the indices of average interruption duration and frequency, according to targets established by the Brazilian Regulatory Agency for Electrical Energy (ANEEL). In a nationwide base, ANEEL has defined 30 clusters, each one having specific targets for Customer Average Duration Interruption Index and Customer Average Frequency Interruption Index; still, very frequently the utility distribution companies are financially penalised for not meeting these indicator targets. This study proposes a decision support system based on machine learning techniques so that the utility distribution companies can emulate the characteristics and procedures used by the ANEEL, and help in obtaining more adequate customer groups to evaluate the duration and frequency indicators. The proposed system was applied in a case study of a distribution utility whose supply area is located in the Brazilian Amazonia. The methodology proved to be adequate for seeking better customer grouping configurations that could result in a decrease in goal violations as well as providing more consistent goals, considering the specific characteristics of each distribution utility. Although this methodology was applied to a Brazilian scenario it also can be applied to other distribution utilities worldwide.
IET Generation Transmission & Distribution 04/2013; 7(4):414-419. DOI:10.1049/iet-gtd.2012.0472 · 1.35 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: The concept of femtocell aims to combine fixed-line broadband access with mobile telephony using low cost and power third and fourth generation base stations in the subscribers homes. Femtocells are self-configurable, however, can limit the quality of service (QoS) and reduce the efficiency of the network, since it uses old assignment standards, such as the power level of the signal. Thus, this paper presents a proposal for optimized allocation of users in a macro-femto co-channel network, in order to maximize the QoS of the applications and energy efficiency, toward the concept of green networks. A fuzzy inference system is implemented to define which network the mobile phone should connect; the model is flexible, allowing different analyzes, and adaptable to the specific characteristics of the telephone companies. Results showed that the model proposed can improve energy efficiency up to 25%, when compared to traditional QoS approaches.
[Show abstract][Hide abstract] ABSTRACT: The femtocell concept aims to combine fixed-line broadband access with mobile telephony using the deployment of low-cost, low-power third and fourth generation base stations in the subscribers' homes. While the self-configuration of femtocells is a plus, it can limit the quality of service (QoS) for the users and reduce the efficiency of the network, based on outdated allocation parameters such as signal power level. To this end, this paper presents a proposal for optimized allocation of users on a co-channel macro-femto network, that enable self-configuration and public access, aiming to maximize the quality of service of applications and using more efficiently the available energy, seeking the concept of Green networking. Thus, when the user needs to connect to make a voice or a data call, the mobile phone has to decide which network to connect, using the information of number of connections, the QoS parameters (packet loss and throughput) and the signal power level of each network. For this purpose, the system is modeled as a Markov Decision Process, which is formulated to obtain an optimal policy that can be applied on the mobile phone. The policy created is flexible, allowing different analyzes, and adaptive to the specific characteristics defined by the telephone company. The results show that compared to traditional QoS approaches, the policy proposed here can improve energy efficiency by up to 10%.
Journal of Microwaves, Optoelectronics and Electromagnetic Applications 12/2012; 11(2):269-284. DOI:10.1590/S2179-10742012000200005 · 0.35 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: Technologies used to link the end-user to a telecommunication infrastructure have been growing over time because of the consolidation of new access technologies. Moreover, the arrival of new tools for information dissemination, such as interactive digital TV, creates a bidirectional element, capable of connecting the end-user to telecommunications networks through access technologies such as worldwide interoperability for microwave access, 3G, asymmetric digital subscriber line and power line communication. This study presents a heuristic based on multicriteria analysis for selection of first mile access in the integrated services digital broadcasting terrestrial standard, ensuring quality of service, using a videoconferencing application as an example. The following analytical approaches, with multicriteria analysis, are presented towards decision making for televisions connected to more than one return channel: (a) fuzzy AHP for defining the criteria weights (delay, jitter, throughput, packet loss etc.); (b) technique for order preference by similarity to ideal solution (TOPSIS) method, for approximation, guided by measurements taken in real scenarios; (c) elimination and choice translating reality III method, used to ranking the alternatives and comparing with TOPSIS.
IET Communications 11/2012; 6(17):2933-2940. DOI:10.1049/iet-com.2012.0237 · 0.74 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: One of the most desired aspects for power suppliers is the acquisition/sale of energy for a future demand. However, power consumption forecast is characterized not only by the variables of the power system itself, but also related to social–economic and climatic factors. Hence, it is imperative for the power suppliers to project and correlate these parameters. This paper presents a study of power load forecast for power suppliers, considering the applicability of wavelets, time series analysis methods and artificial neural networks, for both mid and long term forecasts. Both the periods of forecast are of major importance for power suppliers to define the future power consumption of a given region. The paper also studies the establishment of correlations among the variables using Bayesian networks. The results obtained are much more effective when compared to those projected by the power suppliers based on specialist information. The research discussed here is implemented on a decision support system, contributing to the decision making for acquisition/sale of energy at a future demand; also providing them with new ways for inference and analyses with the correlation model presented here.
International Journal of Electrical Power & Energy Systems 06/2012; 38(1):33-45. DOI:10.1016/j.ijepes.2011.12.018 · 3.43 Impact Factor
[Show abstract][Hide abstract] ABSTRACT: This paper proposes a methodology based in computational intelligence to determine the electric field of broadcasting medium wave. A Bayesian network was generated using data collected from a measurement campaign carried out at Brasília city and it shows the correlation between Altitude and Electric field measured. Conditional probabilities values were used to generate probabilities values of the behavior of the electric field versus terrain's altitude. Thus, in similar places this methodology can be applied without additional computational efforts.
Antennas and Propagation (EUCAP), 2012 6th European Conference on; 01/2012
[Show abstract][Hide abstract] ABSTRACT: This paper presents an integrated solution with associated technologies for enabling broadband access in rural areas. Wired and wireless technologies are used to allow broadband access in remote areas of Brazilian Amazon Forest (northern Brazil). This solution allows the increase of telecommunication services to citizens in these areas, and it also provides digital inclusion in regions with low availability infrastructure. Aspects of deployment, management and maintenance costs are also presented and discussed.
[Show abstract][Hide abstract] ABSTRACT: This paper presents two methods for determining the noise power (mainly caused by crosstalk) in Digital Subscriber Line (DSL) networks. A fuzzy system approach is compared to a linear regression approach. Both are applied to a real world DSL network where a variable noise power is injected. Knowledge Discovery in Database (KDD) is used to organize the data selection, while linear regression and Fuzzy algorithms are compared through data mining process. Results show that the use of techniques such as Fuzzy and linear regression are an effective solution for the real-time estimation of crosstalk in DSL systems. The proposed scheme can be adapted to other types of noise, thus extending its application to DSL systems.
Instrumentation and Measurement Technology Conference (I2MTC), 2012 IEEE International; 01/2012
[Show abstract][Hide abstract] ABSTRACT: This paper proposes a methodology for analysis of the signal reception probability in a 1.9GHz Femtocell. The environment used during the simulation was an indoor environment layout representing a building with and without interference. The propagation loss was computed using an adapted Padé Approximant model. In this new arrangement were included in model the number of obstacles intersected by the signal, as well as the loss due to each kind of obstacle. Results from 2.4 GHz frequency was used to evaluate the simulation.
Antennas and Propagation (EUCAP), 2012 6th European Conference on; 01/2012
[Show abstract][Hide abstract] ABSTRACT: This work analyses the feasibility of use Femtocells networks to provide return channel on Digital TV. The results were compared with a similar simulation using Wimax networks. The same numbers of users was used to create two scenarios, the first using only WiMAX networks, and the second using femtocell network. The results show that femtocell networking is a promising solution for the return channel of Brazilian interactive digital TV, especially at Amazon Region where there are great distances and lacking communication networks.
Next Generation Mobile Applications, Services and Technologies (NGMAST), 2012 6th International Conference on; 01/2012
[Show abstract][Hide abstract] ABSTRACT: This paper presents an estimation of Quality of Experience (QoE) metrics based on Quality of Service (QoS) metrics in WiMAX networks. Applications used to generate such estimations were EvalVid and Network Simulator 2 (NS-2). The QoE was estimated by employing a Multilayer Artificial Neural Network by means of the WEKA tool. The results show a very efficient estimation of metrics of QoE parameters with respect to QoS parameters.