NetFPGA Hardware Modules for Input, Output and EWMA Bit-Rate Computation

NetFPGA is a hardware board that it is becoming increasingly popular in various research areas. It is a hardware customizable router and it can be used to study, implement and test new protocols and techniques directly in hardware. It allows researchers to experience a more real experiment environment. In this paper we present a work about the design and development of four new modules built on top of the NetFPGA Reference Router design. In particular, they compute the input and output bit rate run time and provide an estimation of the input bit rate based on an EWMA filter. Moreover we extended the rate limiter module which is embedded within the output queues in order to test our improved Reference Router. Along the paper we explain in detail each module as far as the architecture and the implementation are concerned. Furthermore, we created a testing environment which show the effectiveness and effciency of our module

A P2P Platform for real-time multicast video streaming leveraging on scalable multiple descriptions to cope with bandwidth fluctuations

In the immediate future video distribution applications will increase their diffusion thanks tothe ever-increasing user capabilities and improvements in the Internet access speed and performance.The target of this paper is to propose a content delivery system for real-time streaming services based ona peer-to-peer approach that exploits multicast overlay organization of the peers to address thechallenges due to bandwidth heterogeneity. To improve reliability and flexibility, video is coded using ascalable multiple description approach that allows delivery of sub-streams over multiple trees andallows rate adaptation along the trees as the available bandwidth changes. Moreover, we have deployeda new algorithm for tree-based topology management of the overlay network. In fact, tree based overlaynetworks better perform in terms of end-to-end delay and ordered delivery of video flow packets withrespect to mesh based ones. We also show with a case study that the proposed system works better thansimilar systems using only either multicast or multiple trees

The Need for Incorporation of the Principles of Fiscal Sociology in Social Policy in Ukraine

У статті запропоновано використати новий принцип фінансування соціальних видатків у країні з недо-статнім рівнем демократії в умовах економічної кризи, який пропонують назвати анти-оптимум Парето.В статье предлагается использовать новый принцип финансирования социальных расходов в стране с недостаточным уровнем демократии в условиях экономического кризиса, который предлагается назвать анти-оптимум Парето.In the article it is suggested to use new principle of financing social charges in a country with the insufficient level of democracy in the conditions of economic crisis, which it is suggested to name аnti-optimum of Pareto

Toward a green internet

Methods for energy efficiency savings will be needed to meet the growing demands of increasing Internet usag

MORE SENSE: MOvie REviews SENtiment analysis boosted with Semantics

Sentiment analysis is becoming one of the most active area in Natural Language Processing nowadays. Its importance coincides with the growth of social media and the open space they create for expressing opinions and emotions via reviews, forum discussions, microblogs, Twitter and social networks. Most of the existing approaches on sentiment analysis rely mainly on the presence of affect words that explicitly reflect sentiment. However, these approaches are semantically weak, that is, they do not take into account the semantics of words when detecting their sentiment in text. Only recently a few approaches (e.g. sentic computing) started investigating towards this direction. Following this trend, this paper investigates the role of semantics in sentiment analysis of movie reviews. To this end, frame semantics and lexical resources such as BabelNet are employed to extract semantic features from movie reviews that lead to more accurate sentiment analysis models. Experiments are conducted with different types of semantic information by assessing their impact in movie reviews dataset. A 10-fold cross-validation shows that F1 measure increases slightly when using semantics in sentiment analysis in social media. Results show that the proposed approach considering word's semantics for sentiment analysis is a promising direction