Cloud Migration: A Case Study of Migrating an Enterprise IT System to IaaS

This case study illustrates the potential benefits and risks associated with the migration of an IT system in the oil & gas industry from an in-house data center to Amazon EC2 from a broad variety of stakeholder perspectives across the enterprise, thus transcending the typical, yet narrow, financial and technical analysis offered by providers. Our results show that the system infrastructure in the case study would have cost 37% less over 5 years on EC2, and using cloud computing could have potentially eliminated 21% of the support calls for this system. These findings seem significant enough to call for a migration of the system to the cloud but our stakeholder impact analysis revealed that there are significant risks associated with this. Whilst the benefits of using the cloud are attractive, we argue that it is important that enterprise decision-makers consider the overall organizational implications of the changes brought about with cloud computing to avoid implementing local optimizations at the cost of organization-wide performance.Comment: Submitted to IEEE CLOUD 201

Decision Support Tools for Cloud Migration in the Enterprise

This paper describes two tools that aim to support decision making during the migration of IT systems to the cloud. The first is a modeling tool that produces cost estimates of using public IaaS clouds. The tool enables IT architects to model their applications, data and infrastructure requirements in addition to their computational resource usage patterns. The tool can be used to compare the cost of different cloud providers, deployment options and usage scenarios. The second tool is a spreadsheet that outlines the benefits and risks of using IaaS clouds from an enterprise perspective; this tool provides a starting point for risk assessment. Two case studies were used to evaluate the tools. The tools were useful as they informed decision makers about the costs, benefits and risks of using the cloud.Comment: To appear in IEEE CLOUD 201

Analysis of the revenue-sharing contract under different power structures with application in the biodiesel niche market

Master'sMASTER OF ENGINEERIN

SYMMETRICAL AND ASYMMETRICAL SCAFFOLDING IN ENGLISH READING COMPREHENSION OF IRANIAN EFL LEARNERS

This study seeks to investigate the impact of symmetrical (S) and asymmetrical (AS) scaffolding, which are two types of scaffolding, on advance students' reading comprehension. Forty advance Iranian EFL learners participated in this study. The participants were both male and female students with an average age of 21 with almost the same educational facilities and physical conditions in the academic year 2015-2016. They were randomly divided into control and experimental groups. Each group had 20 students. Classes were taught by two different teachers. Each of the teachers has two classes (one symmetrical and one asymmetrical). After administering a Pre-test, they were divided into two experimental groups. The experimental group (A) received instruction according to S strategy whereas the experimental group (B) was instructed via the AS strategy. A Post-test was administered, and its results were analyzed through t-test. The results indicated that although S scaffolding has significant effect on learners' performance in reading comprehension, enhancing it but AS scaffolding is a more effective strategy in improving reading comprehension achievement.  Article visualizations