Overhead in Available Bandwidth Estimation Tools: Evaluation and Analysis

The current Available Bandwidth Estimation Tools (ABET's) to perform an estimation, using probes packets are inserted into the network. The utilization These packages, makes ABET's are intrusive and consumes part of which is measuring bandwidth to noise known as "Overhead Estimation Tools" (OET); it’s can produce negative effects on measurements performed by the ABET. This paper presents a complete and comparative analysis of behavior of Available Bandwidth (av_bw), of the ABET's most representative, as well as: Abing, Diettopp, Pathload, PathChirp, Traceband, IGI, PTR, Assolo and Wbest. The study with real Internet traffic, shows the percentage of test that is a factor packets affecting two main aspects of the estimation. The first, the accuracy, and increased indicating that EOT is directly proportional to the percentage of RE, reaching up to 70% in the tool evaluated with most of 30% of Cross-Traffic (CT). And second, the techniques used to send probes packets highly influences the Estimation Time (ET), where some tools that use slops spend up to 240s to converge when there is 60% CT in the network, ensuring that the estimate this technique av_bw highly congested channel, OET as much is used, resulting in inaccuracies in measurement

Available Bandwidth Estimation Tools Metrics, Approaches and Performance

The estimation of the available bandwidth (av bw) between two end nodes through the Internet, is an area that has motivated researchers around the world in the last twenty years, to have faster and more accurate tools; Due to the utility it has in various network applications; Such as routing management, intrusion detection systems and the performance of transport protocols. Different tools use different estimation techniques but generally only analyze the three most used metrics as av bw, relative error and estimation time. This work expands the information regarding the evaluation literature of the current Available Bandwidth Estimation Tools (ABET’s), where they analyze the estimation techniques, metrics, different generation tools of cross-traf?c and evaluation testbed; Concentrating on the techniques and estimation methodologies used, as well as the challenges faced by open-source tools in high-performance networks of 10Gbps or higher

Opinion Mining based on the Spanish adaptation of ANEW on hotel customer comments

La minería de opiniones (MO) ha mostrado una alta tendencia de investigación en los últimos años debido a la producción en gran escala de opiniones y comentarios por parte de usuarios activos en Internet. Las empresas y organizaciones en general están interesadas en conocer cuál es la reputación que tienen de sus usuarios en las redes sociales, blogs, wikis y otros sitios web. Hasta ahora, la gran mayoría de trabajos de investigación involucran sistemas de MO en el idioma inglés. Por este motivo, la comunidad científica está interesada en trabajos diferentes a este lenguaje. En este artículo se muestra la construcción de un sistema de minería de opiniones en español sobre comentarios dados por clientes de diferentes hoteles. El sistema trabaja bajo el enfoque léxico utilizando la adaptación al español de las normas afectivas para las palabras en inglés (ANEW). Estas normas se basan en las evaluaciones que se realizaron en las dimensiones de valencia, excitación y el dominio. Para la construcción del sistema se tuvo en cuenta las fases de extracción, preprocesamiento de textos, identificación del sentimiento y la respectiva clasificación de la opinión utilizando ANEW. Los experimentos del sistema se hicieron sobre un corpus etiquetado proveniente de la versión en español de Tripadvisor. Como resultado final se obtuvo una precisión del 94% superando a sistemas similares.Recently, the Opinions Mining (OM) has shown a high tendency of research due to large-scale production of opinions and comments from users over the Internet. Companies and organizations, in general terms, are interested in knowing what is the reputation they have in social networks, blogs, wikis and other web sites. So far, the vast majority of research involving systems MO in English. For this reason, the scientific community is interested in researching different to this language. This article is about the construction of a mining system views in Spanish based on comments given by different clients and hotels. The system works on the lexical approach using Spanish adaptation of affective standards for English words (ANEW). These standards are based on evaluations conducted in the dimensions of valence, arousal and dominance. For the construction of the system took into account the phases of extraction, preprocessing of texts, identification of feelings and the respective ranking of the opinion using ANEW. System experiments were made on labeling a corpus from the Spanish version of Tripadvisor. As a result, precision exceeding 94% was obtained at similar systems

Renal function panel: an information system for results tests management at the Huila department

Globally, kidney disease affects about 10% of the population, and in Colombia about four million potential kidney patients. At the present, the information available for prevention and follow-up of patient treatment is insufficient. Consequently, if there is not an adequate prevention, it increases that the renal problems progress to advanced states, which implies higher health costs of the treatments. Therefore, this paper presents the design and implementation of an information system to optimize the process of performing and managing the results of renal profile tests to patients in the hospitals of the Huila department, is based on the HL7-FHIR standard (Health Level 7 - Fast Healthcare Interoperability Resources). As a result, a system was designed and implemented using technologies such as Java, MySQL, Java, CSS3, HTML5, among others. Finally, we concluded that the proposed information system can minimize execution times and facilitate the management of the metabolic panel examination by the team of medical assistants when a patient's results have been performed

Available Bandwidth Estimation Tools Metrics, Approaches and Performance

The estimation of the available bandwidth (av_bw) between two end nodes through the Internet, is an area that has motivated researchers around the world in the last twenty years, to have faster and more accurate tools; Due to the utility it has in various network applications; Such as routing management, intrusion detection systems and the performance of transport protocols. Different tools use different estimation techniques but generally only analyze the three most used metrics as av_bw, relative error and estimation time. This work expands the information regarding the evaluation literature of the current Available Bandwidth Estimation Tools (ABET's), where they analyze the estimation techniques, metrics, different generation tools of cross-traffic and evaluation testbed; Concentrating on the techniques and estimation methodologies used, as well as the challenges faced by open-source tools in high-performance networks of 10 Gbps or higher

On the reduction of the available bandwidth estimation error through clustering with K-means

There are different tools to estimate the end to end available bandwidth (AB). These tools use techniques which send pairs of packets to the network and observe changes in dispersion or propagation delays to infer the value of the AB. Given the fractal nature of Internet traffic, these observations are prompt to errors affecting the accuracy of the estimation. This article presents the application of a clustering technique to reduce the estimation error due to wrong observations of the available bandwidth in the network. The clustering technique used is K-means which is applied to a tool called Traceband that is originally based on a Hidden Markov Model to perform the estimation. It is shown that using K-means in Traceband can improve its accuracy in 67.45 % when the cross traffic is about 70% of the end-to-end capacity

NetFPGA: status, uses, developments, challenges, and evaluation

The constant growth of the Internet, driven by the demand for timely access to data center networks; has meant that the technological platforms necessary to achieve this purpose are outside the current budgets. In this order to make and validate relevant, timely and relevant contributions; it is necessary that a wider community, access to evaluation, experimentation and demonstration environments with specifications that can be compared with existing networking solutions. This article introduces the NetFPGA, which is a platform to develop network hardware for reconfigurable and rapid prototyping. It’s introduces the application areas in high-performance networks, advantages for traffic analysis, packet flow, hardware acceleration, power consumption and parallel processing in real time. Likewise, it presents the advantages of the platform for research, education, innovation, and future trends of this platform. Finally, we present a performance evaluation of the tool called OSNT (Open-Source Network Tester) and shows that OSNT has 95% accuracy of timestamp with resolution of 10ns for the generation of TCP traffic, and 90% efficiency capturing packets at 10Gbps of full line-rate

Modelo no supervisado para análisis de sentimiento basado en aspectos in español

This paper presents an unsupervised model for Aspect-Based Sentiment Analysis in Spanish language, which automatically extracts the aspects of opinion and determines its associated polarity. The model uses ontologies for the detection of explicit and implicit aspects, and machine learning without supervision to determine the polarity of a grammatical structure in Spanish. The unsupervised approach used, allows implementing a system quickly scalable to any language or domain. The experimental work was carried out using the dataset used in Semeval 2016 for Task 5 corresponding to Sentence-level ABSA. The implemented system obtained a 73.07 F1 value in the extraction of aspects and 84.8% accuracy in the sentiment classification. The system obtained the best results of all systems participating in the competition in the three issues mentioned above

Overhead in available bandwidth estimation tools: Evaluation and analysis

Current Available Bandwidth Estimation Tools (ABET) insert into the network probing packets to perform a single estimation. The utilization of these packets makes ABET intrusive and prone to errors since they consume part of the available bandwidth they are measuring. This paper presents a comparative of Overhead Estimation Tools (OET) analysis of representative ABET: Abing, Diettopp, Pathload, PathChirp, Traceband, IGI, PTR, Assolo, and Wbest. By using Internet traffic, the study shows that the insertion of probing packets is a factor that affects two metrics associated to the estimation. First, it is shown that the accuracy is affected proportionally to the amount of probing traffic. Secondly, the Estimation Time (ET) is increased in high congested end-to-end links when auto-induced congestion tools are use

Design and implementation of an uv radiation monitoring system to the Neiva-Huila municipality

the levels of radiation during the course of the day is of vital importance for all outdoor activities. Therefore, in this work we developed an ultraviolet radiation monitoring system, which allows knowing in real time the index of ultraviolet radiation in the municipality of Neiva. The system recorded the measurements made in a database and deployed through a web application; it allows knowing all present and past records captured by the system. In addition, through a mobile application this information can be accessed in real time and create alarms that alert users when the UV radiation index exceeds a predefined value by the user. Finally, in order to corroborate the reliability of the system, a validation of the system was carried out, comparing the data obtained by the designed system with the data from the Institute of Hydrology, Meteorology and Environmental Studies (in Spanish IDEAM) automatic weather station, generating high expectations in the operation of the designed system under normal environmental conditions