A University of Greenwich Case Study of Cloud Computing – Education as a Service

This paper proposes a new Supply Chain Business Model in the Education domain and demonstrates how Education as a Service (EaaS) can be delivered. The implementation at the University of Greenwich (UoG) is used as a case study. Cloud computing business models are classified into eight of Business Models, this classification is essential to the development of EaaS. A pair of the Hexagon Models is used to review Cloud projects against success criteria; one Hexagon Model focuses on Business Model and the other on IT Services. The UoG case study demonstrates the added value offered by Supply Chain software deployed by private cloud, where an Oracle suite and SAP supply chain can demonstrate supply chain distribution and is useful for teaching. The evaluation shows that students feel more motivated and can understand their coursework better

Strategic Outsourcing to Cloud Computing: A Comprehensive Framework Based on Analytic Hierarchy Process

A common misperception about cloud computing remains that it represents the ideal solution for outsourcing non-core competencies and a simple maneuver that drives costs down. However, the reality may be the complete opposite. The cloud paradigm changes several processes, patterns, practices, and philosophies; so, while the cloud adoption must be considered as a legitimate business strategy, its decision must also be made with a great deal of care. The purpose of this work is to provide organizations with a practical framework for decision-making about the cloud paradigm adoption, as a strategic outsourcing solution. This framework defines the guidelines to map the outsourcing to cloud computing to a comprehensive multi-criteria-decision-making (MCDM) problem, and relies on the analytic hierarchy process methodology providing both simplicity and mathematical rigor to resolve it. The framework is policy-centric and takes account of the organization's contexts, as it is also built on cloud standards and best practices.10121

Intelligent biomedical engineering operations by cloud computing technologies

Cloud computing is an effective way of using hardware- and software-oriented resources at optimum levels. Thanks to this technology, it is possible to share large amounts of resources effectively and accurately among target users. Because it is a rapidly growing technology, one cannot deny that it has remarkable relations with alternative research fields having great potential and application scope. It is clear that artificial intelligence is one of these fields. As associated with both these research fields, the purpose of this chapter is to examine artificial-intelligence-based biomedical engineering works supported/ connected with cloud computing. Because it has a vital importance with applications regarding the medical/health problems, biomedical engineering needs support from the most recent technologies and research fields in this manner. So, the chapter provides a view over the intersection of these three research fields as trying to improve awareness among interested readers. © 2018, IGI Global. All rights reserved