On Evaluating Commercial Cloud Services: A Systematic Review

Background: Cloud Computing is increasingly booming in industry with many competing providers and services. Accordingly, evaluation of commercial Cloud services is necessary. However, the existing evaluation studies are relatively chaotic. There exists tremendous confusion and gap between practices and theory about Cloud services evaluation. Aim: To facilitate relieving the aforementioned chaos, this work aims to synthesize the existing evaluation implementations to outline the state-of-the-practice and also identify research opportunities in Cloud services evaluation. Method: Based on a conceptual evaluation model comprising six steps, the Systematic Literature Review (SLR) method was employed to collect relevant evidence to investigate the Cloud services evaluation step by step. Results: This SLR identified 82 relevant evaluation studies. The overall data collected from these studies essentially represent the current practical landscape of implementing Cloud services evaluation, and in turn can be reused to facilitate future evaluation work. Conclusions: Evaluation of commercial Cloud services has become a world-wide research topic. Some of the findings of this SLR identify several research gaps in the area of Cloud services evaluation (e.g., the Elasticity and Security evaluation of commercial Cloud services could be a long-term challenge), while some other findings suggest the trend of applying commercial Cloud services (e.g., compared with PaaS, IaaS seems more suitable for customers and is particularly important in industry). This SLR study itself also confirms some previous experiences and reveals new Evidence-Based Software Engineering (EBSE) lessons

Fog Computing: A Taxonomy, Survey and Future Directions

In recent years, the number of Internet of Things (IoT) devices/sensors has increased to a great extent. To support the computational demand of real-time latency-sensitive applications of largely geo-distributed IoT devices/sensors, a new computing paradigm named "Fog computing" has been introduced. Generally, Fog computing resides closer to the IoT devices/sensors and extends the Cloud-based computing, storage and networking facilities. In this chapter, we comprehensively analyse the challenges in Fogs acting as an intermediate layer between IoT devices/ sensors and Cloud datacentres and review the current developments in this field. We present a taxonomy of Fog computing according to the identified challenges and its key features.We also map the existing works to the taxonomy in order to identify current research gaps in the area of Fog computing. Moreover, based on the observations, we propose future directions for research

Evaluation of a global MBA programme

E-learning continues to develop rapidly supported by increasing sophistication of information technology and by better understanding of how to make content and delivery more effective. Moreover, new forms of e-learning support system are being introduced to higher education institutions in an effort to meet the student-centred learning paradigms recommended by UNESCO (UNESCO, 1998). The creation and implementation of effective quality assurance for such learning processes has been identified as one of the most challenging tasks. Jara & Mellar (2010) and Martínez-Argüelles et al. (2010) point out that the collection of student feedback should be a central part of strategies to monitor the quality and standards of teaching and learning in higher education institutions for both conventional learning and e-learning. Jara & Mellar (2010) note also that while research into e-learning abounds, studies that focus on the effectiveness of the provision of e-learning are limited, and that this is a gap to be filled. This article reports on the evaluation of, and the consequent changes to, the global e-learning MBA programme from the University of Bedfordshire. The research was conducted by three members of the MBA team - two Senior Lecturers and the E-learning Development Manager. The aim was to investigate the learning experiences and perceptions of the students and to evaluate the effectiveness of the e-learning support system

The evaluation of the national learning network

In December 1998, the Department for Education and Employment announced that £74 million would be made available, over a three‐year period, to fund improvements in information and learning technology within English further education: this initiative is known as the National Learning Network. An evaluation team has been appointed to report on whether the investment is being used nationally and locally in an efficient and effective manner. This paper outlines the process by which this task is being fulfilled and how the impact of the investment is being evaluated through the close monitoring of forty‐one representative English FE colleges. It also presents a range of free‐standing evaluation tools which have been developed by the evaluation team for use within these colleges by internal practitioner‐evaluators. These tools will enable colleges to assess the effectiveness of the investment and enable the evaluation team to monitor the impact of the national investment on a small, representative cohort of students and staff over a two‐year period The paper concludes with a brief look at the role this development is playing in designing a universally applicable model for assessing cost‐effectiveness across all educational sectors

Institutional Learning and Change: An initiative to promote greater impact through agricultural research for poverty alleviation

The ILAC Initiative consists of an evolving community of individuals committed to increasing the contributions of agricultural research to sustainable poverty reduction around the world. ILAC promotes research, methodology development and capacity development to increase understanding of agricultural change processes and increase the effectiveness of interventions to stimulate pro-poor innovation. This paper presents a broad overview of ILAC, including its background, origins and evolution, objectives and activities. It also presents the initiative’s central hypothesis and a set of guiding questions. Theoretical frameworks that show promise for increasing understanding of issues related to capacities to learn, facilitate innovation, and contribute to poverty reduction are introduced.agricultural, research, ILAC, pro-poor, innovation, farmers, Agricultural and Food Policy, Food Security and Poverty, Research and Development/Tech Change/Emerging Technologies,