Abstract In the last decades, beside Education, Information & Communication Technology was, and will continue to be, the engine of evolution and development of society. The main goal is to achieve a better world for all of us, raising living standards using ubiquitous computing systems of any type (desktop, laptop, server, high performance computing data centers, smart phones and other portable multimedia devices, embedded systems, etc.). In order to... In the last decades, beside Education, Information & Communication Technology was, and will continue to be, the engine of evolution and development of society. The main goal is to achieve a better world for all of us, raising living standards using ubiquitous computing systems of any type (desktop, laptop, server, high performance computing data centers, smart phones and other portable multimedia devices, embedded systems, etc.). In order to keep this evolutionary trend should be understood the technical challenges targeting each component of the computer system, in particular the microprocessor - as known as the "computer brain". The formal learning of discipline entitled "Microprocessors Systems" supposes that for addressing the technical challenges of microprocessors it should be discussed, analyzed and understood the current major societal challenges, and mainly the requirement of cutting down the energy consumption and of reducing our carbon footprint. In this sense it aims to develop applications and computing systems that fall within the Green ICT paradigm that means using hardware/software technology efficiently in the same time with providing economic viability, social responsibility and clean environmental impact. The work that underlies this research paper fall into the category of "Green by IT" aiming to reduce the environmental impact of operations using IT and by efficient resource usage management. More precisely, we intend to present a solution of reducing the video traffic on the Internet by designing an appropriate algorithms of cache blocks replacement which reduces the cache miss accesses in social media data storage centres. This not only decreases the video-retrieval time pleasing the user, but also will reduce the energy consumption with world-wide social benefits. By implementing performant cache replacement algorithms we will accelerate the search process of videos in YouTube and we will measure the Internet traffic exemption (in MB) if the cache miss rate decreases (for each particular algorithm) and we will also estimate how much energy is saved by the data centers of search engines. This has a very positive social impact by contributing to maintaining a clean environment, given that the resource requirements (storage and network bandwidth) of social media are growing. Read More Read Less

Abstract Process and continuous process improvement is a very important aspect in Web-based software development organizations to meet the cost effective objectives of organizations. Despite the importance of Software Process Improvement (SPI), there is enough evidence that the majority of Web-based software development organizations are facing major obstacles to adopt existing SPI models and standards as they perceive them as being oriented towards traditional software organizations. This paper attempts to... Process and continuous process improvement is a very important aspect in Web-based software development organizations to meet the cost effective objectives of organizations. Despite the importance of Software Process Improvement (SPI), there is enough evidence that the majority of Web-based software development organizations are facing major obstacles to adopt existing SPI models and standards as they perceive them as being oriented towards traditional software organizations. This paper attempts to develop a new software process improvement maturity model in order to guide Web-based software development organizations to enhance their SPI implementation program by learning from the experiences of others organizations that are already out there developing Web-based projects. The backbone of this model is the examination and analyzing the existed SPI approaches found in the literature. Additionally, this model is inspired from capability maturity model Integration (CMMI) and is based on critical success factor and best practices identified through literature. Read More Read Less

Abstract Currently, the network traffic classification has two important problems, which are low accuracy and high computation complexity. In order to solve these problems, a novel network traffic classification method using support vector machine with feature weighted-degree (FWD-SVM) is proposed in this study. Our method can efficiently reduce the influence on the sample distribution, relative properties, and redundancy. Through reducing the training time of traffic classification machine and the predicting... Currently, the network traffic classification has two important problems, which are low accuracy and high computation complexity. In order to solve these problems, a novel network traffic classification method using support vector machine with feature weighted-degree (FWD-SVM) is proposed in this study. Our method can efficiently reduce the influence on the sample distribution, relative properties, and redundancy. Through reducing the training time of traffic classification machine and the predicting time of unknown samples,our method speeds up computation performance. Using support vector machine with feature weighted-degree, our method improves the stability and the accuracy of classification. The experimental results demonstrate that the proposed method not only can greatly reduce the computation complexity, but also has higher classified accuracy. Read More Read Less

Abstract In the current era of Internet, people are increasingly using the e-commerce websites for purchasing goods and services. Reviews and blogs have become the prime source of information for making purchasing decisions. As reviews and blogs directly affect sales and revenue, many e-commerce companies hire people for writing reviews to promote or demote target products and services. These fictitious opinions that are written to sound authentic are known... In the current era of Internet, people are increasingly using the e-commerce websites for purchasing goods and services. Reviews and blogs have become the prime source of information for making purchasing decisions. As reviews and blogs directly affect sales and revenue, many e-commerce companies hire people for writing reviews to promote or demote target products and services. These fictitious opinions that are written to sound authentic are known as deceptive reviews. In this paper, we tried to establish a link between personality traits and deceptive/fake reviews. We analyzed personality recognition techniques and deceptive review detection from a psycholinguistic point of view. We tried to capture stable individual characteristics to predict behavioral differences between deceptive and truthful reviewer/review. This study shows that personality clues along with other review specific features can be quite successful to build automatic deceptive review classifiers. We have used various ensemble learning techniques to ensure effective use of the features and achieve good classification accuracy. Our experiments on restaurant and hotel domain have achieved up to 93 and 94 percent accuracy respectively with the final classifier. Read More Read Less