Instead of relying on huge and expensive data centers for rolling out cloudbased services to rural and remote areas, we propose a hardware platform based on small single-board computers. The role of these micro-data centers is twofold. On the one hand, they act as intermediaries between cloud services and clients, improving availability in the case of network or power outages. On the other hand, they run community-based services on local infrastructure. We illustrate how to build such a system without incurring high costs, high power consumption, or single points of failure. Additionally, we opt for a system that is extendable and scalable as well as easy to deploy, relying on an open design.
There are many studies investigating the adoption of cloud computing, for some overview and survey papers, see @cite_18 @cite_14 @cite_3 . Actually, two of the co-authors of this paper were involved in a recent study @cite_9 . However, most of these studies highlight the topic from the point of view of well-developed countries. While some inhibitors, such as security and privacy concerns, hold universally @cite_6 , others are predominantly found in developing countries and play almost no role in Western countries @cite_8 @cite_23 @cite_13 . Predominant among these are unstable power grids and inadequate internet connectivity, translating into more or less frequent outages. This calls for a different approach to cloud computing: before cloud services can take off, a reliable infrastructure has to be put in place.
@cite_18 @cite_14 @cite_8 @cite_9 @cite_6 @cite_3 @cite_23 @cite_13
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The group comparison reveals three potential adoption inhibitors, security, data privacy, and portability.Security concern results in an up to 26-fold increase in the non-adoption likelihood.Concerns about availability, integration, and migration complexity are not likely to hold back cloud adoption initiatives. In the context of cloud computing, risks associated with underlying technologies, risks involving service models and outsourcing, and enterprise readiness have been recognized as potential barriers for the adoption. To accelerate cloud adoption, the concrete barriers negatively influencing the adoption decision need to be identified. Our study aims at understanding the impact of technical and security-related barriers on the organizational decision to adopt the cloud. We analyzed data collected through a web survey of 352 individuals working for enterprises consisting of decision makers as well as employees from other levels within an organization. The comparison of adopter and non-adopter sample reveals three potential adoption inhibitor, security, data privacy, and portability. The result from our logistic regression analysis confirms the criticality of the security concern, which results in an up to 26-fold increase in the non-adoption likelihood. Our study underlines the importance of the technical and security perspectives for research investigating the adoption of technology. Research has indicated that cloud computing will become the mainstream in computing technology and an effective tool for businesses. Traditionally, companies build corporate data centers, install applications and are responsible for maintaining their IT infrastructures. However, cloud computing removes the need for organizations to own corporate data centers and install enterprise applications. Instead, cloud provides businesses with the advantage of scalability, ondemand service, flexibility and reduced cost of computing, an increase has been identified in the acceptance and adoption of this new computing model in developed and developing countries. So then this research was carried out to investigate the perception of employees in IT & Telecommunication companies and users of devices that support cloud computing, regarding cloud computing being the next generation of computing technology, the extent of cloud computing adoption and to identify the motivating factors, current issues affecting the adoption of cloud computing in Nigeria. These objectives were achieved through Quantitative and qualitative research methodologies, the basis of the research consists of two separate questionnaires that was designed and administered. The exclusion criteria are Non-IT firms, Telecommunication companies and those who are not aware of cloud computing. While the inclusion criteria are IT & Telecommunication employees, IT managers and people who are aware of cloud computing. Questionnaires were designed and distributed using survey monkey, an online survey application. A number of semi-structured interviews were conducted through Skype with some employees and IT managers to produce a further, in-depth investigation. Analysis of the findings from both interviews and questionnaire served to provide an insight to the objectives of this research. Following the outcome of the research, Proper awareness by the cloud service providers on the risk and benefits of cloud, availability of more cloud service providers and free trial of cloud services to clients for a stipulated period will encourage adoption of cloud computing. Progress of research efforts in a novel technology is contingent on having a rigorous organization of its knowledge domain and a comprehensive understanding of all the relevant components of this technology and their relationships. Cloud computing is one contemporary technology in which the research community has recently embarked. Manifesting itself as the descendant of several other computing research areas such as service-oriented architecture, distributed and grid computing, and virtualization, cloud computing inherits their advancements and limitations. Towards the end-goal of a thorough comprehension of the field of cloud computing, and a more rapid adoption from the scientific community, we propose in this paper an ontology of this area which demonstrates a dissection of the cloud into five main layers, and illustrates their interrelations as well as their inter-dependency on preceding technologies. The contribution of this paper lies in being one of the first attempts to establish a detailed ontology of the cloud. Better comprehension of the technology would enable the community to design more efficient portals and gateways for the cloud, and facilitate the adoption of this novel computing approach in scientific environments. In turn, this will assist the scientific community to expedite its contributions and insights into this evolving computing field. The Cloud computing paradigm has revolutionised the computer science horizon during the past decade and has enabled the emergence of computing as the fifth utility. It has captured significant attention of academia, industries, and government bodies. Now, it has emerged as the backbone of modern economy by offering subscription-based services anytime, anywhere following a pay-as-you-go model. This has instigated (1) shorter establishment times for start-ups, (2) creation of scalable global enterprise applications, (3) better cost-to-value associativity for scientific and high-performance computing applications, and (4) different invocation execution models for pervasive and ubiquitous applications. The recent technological developments and paradigms such as serverless computing, software-defined networking, Internet of Things, and processing at network edge are creating new opportunities for Cloud computing. However, they are also posing several new challenges and creating the need for new approaches and research strategies, as well as the re-evaluation of the models that were developed to address issues such as scalability, elasticity, reliability, security, sustainability, and application models. The proposed manifesto addresses them by identifying the major open challenges in Cloud computing, emerging trends, and impact areas. It then offers research directions for the next decade, thus helping in the realisation of Future Generation Cloud Computing.