A Decision Process Model to Support Migration to Cloud Computing

Migration to cloud computing is a strategic organisational decision that can affect performance, productivity, growth, as well as increase competitiveness. The decision to migrate is usually complicated and dynamic due to the immaturity and the still evolving nature of the cloud environment. Although there have been many proposed methods for supporting the migration, no systematic decision process exists that clearly identifies the main steps and explicitly describes the tasks to be performed within each step. In this paper, a decision-making process model, based on a two-stage survey, is proposed. The model guides decision makers through a step-by-step approach, aiding them with their decisions for cloud migration. It offers a preliminary structure for developing a cloud knowledge-based decision support system. The model was evaluated by a group of cloud practitioners. The analysis demonstrates a high level of acceptance with regard to the structure, tasks involved and issues addressed by it

Data Migration in Cloud: A Systematic Review

Data migration needs to  securely transfer for maintaining confidentiality such that migration can strongly and effectively done with no data loss due to active attacks . Many techniques and methods have already been proposed by researchers around the world to secure data migration. This paper provides a critical overview of these problems and solutions and giving a proposed solution for data migration that is Attunity which can help to optimize data for replicating and transferring data thus providing a simple, faster and safer path to accelerate data by providing

The design, development and evaluation of a holistic cloud migration decision framework

No keywords provided in dissertationCloud Computing has gained traction since its emergence and client organisations that want to benefit from the Cloud are looking for ways to migrate their on-premise applications to the Cloud. To assist client organisations with migration projects, researchers and practitioners have proposed various Cloud migration approaches. However, these approaches differ in applicability depending on the type of application being migrated and the Cloud Service Provider where the application is being migrated to. The various approaches to Cloud migration create complexity in Cloud migration decisions as client organisations have to consider various approaches depending on the migration project. The purpose of this dissertation is to create a universal Cloud migration approach that can be applied to every Cloud migration project. In this dissertation, a cloud migration decision framework is proposed; namely, A Holistic Cloud Migration Decision Framework (HCMDF). The research strategy that was followed is Design Science Research (DSR) and was selected since the output of the research is going to be an Information Technology (IT) research artefact. By applying the DSR strategy, the HCMDF was successfully developed and evaluated in the real world using an adaptive case study. The analysis of the results indicated that the HCMDF solves Cloud migration problem and that it can be applied to every Cloud migration project. Throughout the evaluation, areas of improvement were identified and these will be considered in future research.School of ComputingM. Tech (Information Technology