With the rapid growth of Internet of Things (IoT) applications, the classic centralized cloud computing paradigm faces several challenges such as high latency, low capacity and network failure. To address these challenges, fog computing brings the cloud closer to IoT devices. The fog provides IoT data processing and storage locally at IoT devices instead of sending them to the cloud. In contrast to the cloud, the fog provides services with faster response and greater quality. Therefore, fog computing may be considered the best choice to enable the IoT to provide efficient and secure services for many IoT users. This paper presents the state-of-the-art of fog computing and its integration with the IoT by highlighting the benefits and implementation challenges. This review will also focus on the architecture of the fog and emerging IoT applications that will be improved by using the fog model. Finally, open issues and future research directions regarding fog computing and the IoT are discussed.

With the rapid evolution of Information Technology (IT) applications and practices across the organization, appropriate IT Governance (ITG) has become essential to an organization's success. As IT is associated with risk and value opportunities, a comprehensive, high-level system is required in each organization to minimize the associated risks and optimize value. This requirement triggered the emergence of ITG. Many researchers have addressed this field; however, the role played by critical success factors (CSFs) in the successful implementation of ITG has not yet received adequate attention. This gap in the research motivated the present study, with the main aim of defining the CSFs needed for the successful implementation of ITG. CSFs were studied and extracted from the literature review and then analysed, categorized, and synthesized to create the Success Factors for IT Governance Framework.

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The Cloud Computing Business Framework (CCBF) is proposed to help organisations achieve good Cloud design, deployment, migration and services. There are four key areas to be addressed: (i) Classification; (ii) Organisational Sustainability Modelling (OSM); (iii) Service Portability and (iv) Linkage. Each area's focus is described, and we explain how each fits into the CCBF and work altogether. The process that leads the CCBF is supported by literature, case studies, where examples in each CCBF key area are used to illustrate its effectiveness and contributions to organisations adopting it. CCBF has been used in several organisations offering added values and positive impacts.

Abstract-Cloud computing is paradigm that has emerged to deliver IT services to consumers as a utility service over the Internet. In developing countries, particularly Saudi Arabia, cloud computing is still not widely adopted. As a result, this study seeks to investigate the most influential factors that can encourage an organisation to use the cloud or which might impede them from moving to it. This research proposes an integrated model that incorporates aspects of the TechnologyOrganisation-Environment (TOE) framework and integrates the critical factors from existing theories along with other factors to examine the impact of this variable on the adoption decision of enterprises. Future work will be focused on confirming the proposed model.

Abstract-The Internet of Things (IoT) is becoming the nextInternet-related revolution. It allows billions of devices to be connected and communicate with each other to share information that improves the quality of our daily lives. On the other hand, Cloud Computing provides on-demand, convenient and scalable network access which makes it possible to share computing resources; indeed, this, in turn, enables dynamic data integration from various data sources. There are many issues standing in the way of the successful implementation of both Cloud and IoT. The integration of Cloud Computing with the IoT is the most effective way on which to overcome these issues. The vast number of resources available on the Cloud can be extremely beneficial for the IoT, while the Cloud can gain more publicity to improve its limitations with real world objects in a more dynamic and distributed manner. This paper provides an overview of the integration of the Cloud into the IoT by highlighting the integration benefits and implementation challenges. Discussion will also focus on the architecture of the resultant Cloud-based IoT paradigm and its new applications scenarios. Finally, open issues and future research directions are also suggested.

Abstract:Information Technology (IT) plays an important role in enabling education services be delivered to users. Most education online services in universities have been run on the cloud to provide services to support students, lecturers, researchers and administration staff. These are enabled with the emergence of cloud computing in the world of IT. Cloud computing offers on demand Internet-based computing services. This paper presents an overview of cloud computing adoption in higher education, mainly tertiary institutions and universities. The focus of the paper is the challenges of cloud computing in higher education. It introduces the background to cloud computing and reviews research on adoption challenges in higher education institutions. These challenges are important as they provide an overview of the adoption of cloud in higher education. The authors proposed an integrated reference model based on the challenges in the literature integrated with TAM model to investigate the factors influence the users' attitudes and behaviours toward using cloud education services in universities ICT provision.

This paper demonstrates financial enterprise portability, which involves moving entire application services from desktops to clouds and between different clouds, and is transparent to users who can work as if on their familiar systems. To demonstrate portability, reviews for several financial models are studied, where Monte Carlo Methods (MCM) and Black Scholes Model (BSM) are chosen. A special technique in MCM, Least Square Methods, is used to reduce errors while performing accurate calculations. Simulations for MCM are performed on different types of Clouds. Benchmark and experimental results are presented for discussion. 3D Black Scholes are used to explain the impacts and added values for risk analysis. Implications for banking are also discussed, as well as ways to track risks in order to improve accuracy. A conceptual Cloud platform is used to explain the contributions in Financial Software as a Service (FSaaS) and the IBM Fined Grained Security Framework. This study demonstrates portability, speed, accuracy, and reliability of applications in the clouds, while demonstrating portability for FSaaS and the Cloud Computing Business Framework (CCBF).