A Review of the Current Level of Support to Aid Decisions for Migrating to Cloud Computing

© 2016 Copyright held by the owner/author(s). Cloud computing provides an innovative delivery model that enables enterprises to reduce operational costs and improve flexibility and scalability. Organisations wishing to migrate their legacy systems to the cloud often need to go through a difficult and complicated decision-making process. This can be due to multiple factors including restructuring IT resources, the still evolving nature of the cloud environment, and the continuous expansion of the services offered. These have increased the requirement for tools and techniques to help the decision-making process for migration. Although significant contributions have been made in this area, there are still many aspects which require further support. This paper evaluates the existing level of support to aid the decision-making process. It examines the complexity of decisions, evaluates the current state of Decision Support Systems in respect of migrating to the cloud, and analyses three models that proposed support for the migration processes. This paper identifies the need for a coherent approach for supporting the whole decision-making process. Further, it explores possible new approaches for addressing the complex issues involved in decision-making for migrating to the cloud

Balancing Migration: Overcoming the challenge to SaaS provisioning for core business activities: A South African case study

Cloud computing provides shared information and communication technology (ICT) resources to individuals and organisations, including hardware and software resources that were previously too costly for an individual organisation to manage and own. Cloud computing makes vast amounts of ICT resources available to business organisations, resources that can improve business processes and allow business organisations to leverage ICT in ways that were previously impossible. The correct implementation, adoption and usage of ICT within a business organisation can lead to enhancements in productivity, innovation, and new products and services, as well as the reduction of production costs. Recent literature has attested to the fact that the adoption of cloud computing has been much lower than expected. Business organisations that have adopted cloud computing have done so mainly in products and services that can be categorised as support or non-core activities, such as HR, accounting, and marketing. In order to understand why the adoption pattern of cloud computing in business organisations has focused mainly on non-core activities, this study aims to identify the core challenge facing cloud service providers (CSPs) that provision cloud solutions to business organisations in the investment management industry. These would include cloud solutions that investment managers can use in their core business activities. Furthermore, the aim of this dissertation is to identify how CSPs overcome the core challenge faced. A case study was performed on a single CSP that provisions a SaaS solution to the investment management sector in South Africa. The case study identified migration as the core challenge experienced by CSPs. Classical grounded theory was used to generate the theory of “Balancing Migration” being the resolution to the core challenge identified. The results of the study point to the fact that investment management organisations have processes and systems that have become entrenched in their business over many years. Migrating an established system to the cloud is more than just substituting software. Migration to the cloud requires investment managers to migrate both business processes and operating strategy, and to migrate the actual software products and infrastructure. A CSP provisioning a SaaS solution for a core business activity needs to migrate the products that they offer as well as their business strategy. The theory of “Balancing Migration” proposes that these four categories of migration challenges need to be addressed simultaneously and holistically. In summary, “Migration” is the core concern to a CSP provisioning a SaaS solution for a core business activity, and “balancing migration” is how this core concern is resolved

A cloud adoption framework for South African SMEs

Small to Medium Enterprises (SMEs) have been touted as key enablers to the economic development of most countries. Despite growing evidence that most SMEs fail within their initial years, ICTs have been found to add substantial value in facilitating their success. However, in most developing countries, ICT adoption by SMEs has been plagued with a plethora of challenges ranging from poor electricity supply, high ICT costs, lack of ICT expertise to lack of government support. While this might seem problematic for SMEs, the adoption and the use of cloud services mitigates some of these challenges. The problem, however, is that a limited amount of literature has provided guidance with regard to how the cloud adoption process should be carried out by SMEs. The objective of this research, was therefore, to address this by developing a framework that can be used by SMEs to guide them through the cloud adoption process. To this end, thirteen (13) semi-structured interviews were conducted across nine (9) SMEs in the Eastern Cape. The resultant interview transcripts were analysed using an established thematic approach; the result of which allowed for the development of a rich interpretive narrative about SME cloud adoption. Combined with theory from extant literature, this culminated in the development of a framework for cloud services adoption for SMEs in the Eastern Cape

A Model to support the decision process for migration to cloud computing.

Cloud computing is an emerging paradigm for provisioning computing and IT services. Migration from traditional systems setting up to cloud computing is a strategic organisational decision that can affect organisations’ performance, productivity, and growth as well as competitiveness. Organisations wishing to migrate their legacy systems to the cloud often need to go through a difficult and complicated decision-making process. This can be due to multiple factors including restructuring IT resources, the still evolving nature of the cloud environment, and the continuous expansion of the cloud services, configurations and providers. This research explores the factors that would influence decision making for migration to the cloud, its impact on IT management, and the main tasks that organisations should consider to ensure successful migration projects. The sequential exploratory strategy is followed for the exploration. This strategy is implemented through the utilisation of a two-stage survey for collecting the primary data. The analysis of the two-stage survey as well as the literature identified eleven determinants that increase the complexity in the decisions to migrate to the cloud. In the literature some of those determinants were realised, accordingly, there have been many proposed methods for supporting migration to the cloud. However, no systematic decision making process exists that clearly identifies the main steps and explicitly describes the tasks to be performed within each step. This research aims to fill this need by proposing a model to support the decision process for migrating to cloud. The model provides a structure which covers the whole process of migration decisions. It guides decision makers through a step-by-step approach aiding organisations with their decision making. The model was evaluated by exploring the views of a group of the cloud practitioners on it. The analysis of the views demonstrated a high level of acceptance by the practitioners with regard to the structure, tasks, and issues addressed by the model. The model offers an encouraging preliminary structure for developing a cloud Knowledge-Based Decision Support System