Abstract-Big data is currently one of the most critical emerging technologies. Big Data are used as a concept that refers to the inability of traditional data architectures to efficiently handle the new data sets. The 4V's of big data -volume, velocity, variety and veracity makes the data management and analytics challenging for the traditional data warehouses. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and self-sufficient. The integrating big data with cloud computing technologies, businesses and education institutes can have a better direction to the future. The capability to store large amounts of data in different forms and process it all at very large speeds will result in data that can guide businesses and education institutes in developing fast. Nevertheless, there is a large concern regarding privacy and security issues when moving to the cloud which is the main causes as to why businesses and educational institutes will not move to the cloud. This paper introduces the characteristics, trends and challenges of big data. In addition to that, it investigates the benefits and the risks that may rise out of the integration between big data and cloud computing.

Recently Mobile technology is considered an effective way to improve students' skills such as positive thinking, collaborative, communication, as well as it is considered the main part of major innovation in many e-learning research areas. As a result of the 21^st. century requirements, skills were developed to address the rising needs in higher education which causes a shifting paradigm from the traditional methods of teaching to M-learning. In this research, we discuss the effect of using Mobile learning techniques to improve learning outcomes in Higher Education. We have implemented a web-based survey through two questionnaires. The questionnaires were distributed among 200 students in the second and third levels in the computer science department at both Community College and College of Arts and Science. This research explores a study on e-learning using mobile technology to identify students’ perceptions in the acceptance of mobile techniques and recognize the quality of mobile services for academic and social purposes to improve teaching strategy and learning performance in higher educational organizations. The outcomes of this research would support the evolution of M-learning at the university-level and cause shifting the traditional learning methods by merging M-learning methodologies as a learning management system that provides mobile learning services to students and teachers any time and from any location. The research study shows some important results towards the integration of mobile technology into teaching include: student positive perception, facilitates student concentrate, flexible access to m-services for learning materials, and increases students' skills in using mobile technology for e-learning.

Abstract-Cloud computing is a new computing model which is based on the grid computing, distributed computing, parallel computing and virtualization technologies define the shape of a new technology. It is the core technology of the next generation of network computing platform, especially in the field of education, cloud computing is the basic environment and platform of the future E-learning. It provides secure data storage, convenient internet services and strong computing power. This article mainly focuses on the research of the application of cloud computing in E-learning environment. The research study shows that the cloud platform is valued for both students and instructors to achieve the course objective. The paper presents the nature, benefits and cloud computing services, as a platform for elearning environment.

the nature of managing team work has changed significantly because of changes in organizations and the nature of the work they do. Organizations have become more distributed across geography and across industries. Relationships between people inside an organization and those previously considered outside (customers, suppliers, managers of collaborating organizations, other stakeholders) are becoming more important. Organizations have discovered the value of collaborative work. When implementing IT projects in a global environment, a popular strategy is the establishment of virtual teams. The objective of this paper is to examine what competence an IT project manager has to have to lead a virtual IT team successfully. The question is approached from the perspective of competences presented in the IPMA (International Project Management Association) competence baseline, or The Eye of Competences. Results from research, as well as a survey conducted, highlighted that both soft and hard skills are needed for the optimal IT project manager to lead a virtual team. To be successful in this area it is not sufficient to be outstanding in technical competences. Soft skills like communication, teamwork and leadership are no less essential. The competences scoring highest in the survey were: clarity of objectives, leadership & project management, communication, reliability & efficiency, teamwork and quality management.

Mobile devices have become instruments that allow new ways of interacting with institutional services. This paper describes the development of the Mobile Educational Services Application (MES app) for the Android platform. This app allows access to mediated and self-access services, as well as databases, announcements, registration, events, book consultations, schedules, etc. The project provides Mobile and Web-based application tools (apps) that allow online access for different users - students, instructors, and administrators. The app provides students with a user friendly, generic, web-based GUI to request educational services, to send text message inquiries, to add, drop, or defer courses, etc.. The app allows instructors to send or receive text messages to and from students using the mobile or web-based interface of the app. In addition to system monitoring, the app provides administrators an online tool to manage, add, update, and delete system information. This tool seeks to be one of the more useful economic apps that use Android technology for applications, using Tablets and mobile devices, for the use of students, instructors and administrators in accessing services in an educational institution.

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Abstract-The Semantic Web is the next giant step of the current web technology. The use and application of the Semantic Web in E-learning has been explored with regard to two areas: 1) software that supports instructors to perform their tasks in flexible online educational settings, and 2) software that interprets the structure of distributed, self organized, and self-directed web-based learning. These two application areas and related tasks require a semantic representation of educational entities and pedagogical material, specifically the structure and the techniques of the teachinglearning process. In most E-learning systems users are able to manage and reuse learning contents according to their needs without any access problems. The main objectives of this study are: how can e-learning take advantage of Semantic Web technology, and how to integrate the Semantic Web technologies with e-learning systems, taking into consideration the standards and reusable learning objects (LO), and to show the advantages of improving the description of content, context and structure of the learning material. The main goal of this article it to introduce an updated Elearning model based on the latest Semantic Web architectures.

Cybersecurity of cloud services is extremely important, especially when developing web services and cloud apps. Cloud computing depends on internet connections; therefore, the security of its services is constantly under attack. Distributed Denial of Service (DDoS) attacks are a malicious attempt to damage the normal traffic of the targeted cloud by flooding it with internet traffic. As a result, this causes a serious problem for cloud computing security. The objectives of this paper are, to introduce a new cybersecurity approach for protecting cloud services against all types of DDoS attacks, to evaluate the performance and effectiveness of the proposed algorithm, and to use the contribution of correlation coefficient analysis for validating the effectiveness of the proposed approach by identifying the relationship between malicious and legitimate traffic. The researcher evaluated the performance of the proposed approach in terms of accuracy, sensitivity, and specificity. The feedback of the experiments was highly promising for protecting cloud services against DDoS Attacks. The experiments showed encouraging results for preventing DDoS attacks, with an average performance of 95.41%, an average accuracy of 96.53%, an average sensitivity of 92.31%, and an average specificity of 97.39%.