Enhanced mobile computing using cloud resources

Summary in English.Includes bibliographical references.The purpose of this research is to investigate, review and analyse the use of cloud resources for the enhancement of mobile computing. Mobile cloud computing refers to a distributed computing relationship between a resource-constrained mobile device and a remote high-capacity cloud resource. Investigation of prevailing trends has shown that this will be a key technology in the development of future mobile computing systems. This research presents a theoretical analysis framework for mobile cloud computing. This analysis framework is a structured consolidation of the salient considerations identified in recent scientific literature and commercial endeavours. The use of this framework in the analysis of various mobile application domains has elucidated several significant benefits of mobile cloud computing including increases in system performance and efficiency. Based on recent scientific literature and commercial endeavours, various implementation approaches for mobile cloud computing have been identified, categorized and analysed according to their architectural characteristics. This has resulted in a set of advantages and disadvantages for each category of system architecture. Overall, through the development and application of the new analysis framework, this work provides a consolidated review and structured critical analysis of the current research and developments in the field of mobile cloud computing

Research on Mobile Cloud Computing in Teaching and Learning: A Conceptual Model

Advances in cloud computing technology coupled with increasing volumes of data has driven the growth and differentiation of cloud-based solutions in teaching and learning. The cloud computing industry has matured over the past decade and the number of publications steadily rose, to build on the maturity of the field researchers investigating cloud computing research in the mobile teaching and learning domain need to be cognisant of the state of the art. The objective of this paper is to analyse the available literature in the field of cloud computing for mobile teaching and learning to identify the main categories of research, the prevalent methodologies and research gaps, and then integrate the findings in a conceptual framework representing the current state of the field in terms of research opportunities. A systematic mapping study on relevant publications in journals and conferences was conducted. Mapping studies are a suitable method for structuring a research field concerning research questions about contents, methods and trends in the available publications. A systematic literature review and mapping was used to select 107 articles from a total of 21 822 publications in five prominent databases, namely ACM, ERIC, IEEE, Google Scholar and Springer. The analysis was done in October 2017 on papers published between 2013 and 2017. The contribution is to classify existing work and suggest future opportunities based on a systematic mapping of mobile cloud computing (MCC) for teaching and learning research. The analysis provides an overview of the field in terms of what is researched, how that is researched and where the future research contributions may lie. The findings are integrated to present a non-prescriptive, conceptual framework on mobile cloud computing research for teaching and learning. Researchers can use the proposed framework as a point of reference in starting or aligning their own projects and establishing where future research opportunities exist.School of Computin

Research on advanced technologies – design and development of cloud computing model

This article is a bibliographic review and focuses on a brief introduction to Cloud Computing as an innovative educational tool. Cloud technology is rapidly spreading in educational institutions, sometimes replacing the in-house infrastructure with cloud services. Education plays an important role in a country’s economy and today, the educational model in many countries has evolved with technology. Schools and universities in the world extensively use cloud Based Technology. Digital teaching – E-Learning and cloud-based technology are the latest models that have been widely adopted in the educational field. The identified trends in the use of cloud computing in education are clear, ranging from the design of cloud-oriented learning environments for future information technology specialists to the training of information technology specialists to enable them to obtain competencies in the use of cloud technologies. Cloud computing is a distributed computing paradigm, where, instead of acquiring information technology products, users access shared resources under various service models through a network, usually the Internet. The application of cloud computing is very broad and growing daily because of many advantages to the users, and is driven by the increasing use of various mobile devices (laptops, tablets and smartphones) and mobile Internet access being more available. The perspectives of its integration in the learning process are highlighted, as well as the factors that make its implementation difficult. Finally, some general conclusions presented on how technologies should be adopted to meet the educational needs of this new global challenge and some suggestions are made for more effective training through the Cloud Computing, as the need for further research emerge

Distributing connectivity management in Cloud-Edge infrastructures : Challenges and approaches

National audienceThe classic approach of deploying large data centers to provide Cloud services is being challenged by the emerging needs of Internet of Things applications, Network Function Virtualization services or Mobile edge computing. A massively distributed Cloud-Edge architecture could better fit the requirements and constraints of these new trends by deploying on-demand Infrastructure as a Service in different locations of the Internet backbone (i.e, network point of presences). A key requirement in this context is the establishment of connectivity among several virtual infrastructure managers in charge of operating each site. In this paper, we analyze the requirements and challenges raised by the inter-site connectivity management in a Cloud-Edge infrastructure. We also aim at initiating the discussion about the research directions on this field providing some interesting points to promote future work

A Review on Computational Intelligence Techniques in Cloud and Edge Computing

Cloud computing (CC) is a centralized computing paradigm that accumulates resources centrally and provides these resources to users through Internet. Although CC holds a large number of resources, it may not be acceptable by real-time mobile applications, as it is usually far away from users geographically. On the other hand, edge computing (EC), which distributes resources to the network edge, enjoys increasing popularity in the applications with low-latency and high-reliability requirements. EC provides resources in a decentralized manner, which can respond to users’ requirements faster than the normal CC, but with limited computing capacities. As both CC and EC are resource-sensitive, several big issues arise, such as how to conduct job scheduling, resource allocation, and task offloading, which significantly influence the performance of the whole system. To tackle these issues, many optimization problems have been formulated. These optimization problems usually have complex properties, such as non-convexity and NP-hardness, which may not be addressed by the traditional convex optimization-based solutions. Computational intelligence (CI), consisting of a set of nature-inspired computational approaches, recently exhibits great potential in addressing these optimization problems in CC and EC. This article provides an overview of research problems in CC and EC and recent progresses in addressing them with the help of CI techniques. Informative discussions and future research trends are also presented, with the aim of offering insights to the readers and motivating new research directions

Next Generation Cloud Computing: New Trends and Research Directions

The landscape of cloud computing has significantly changed over the last decade. Not only have more providers and service offerings crowded the space, but also cloud infrastructure that was traditionally limited to single provider data centers is now evolving. In this paper, we firstly discuss the changing cloud infrastructure and consider the use of infrastructure from multiple providers and the benefit of decentralising computing away from data centers. These trends have resulted in the need for a variety of new computing architectures that will be offered by future cloud infrastructure. These architectures are anticipated to impact areas, such as connecting people and devices, data-intensive computing, the service space and self-learning systems. Finally, we lay out a roadmap of challenges that will need to be addressed for realising the potential of next generation cloud systems.Comment: Accepted to Future Generation Computer Systems, 07 September 201