ASK Approach: A Pre-migration Approach for Legacy Application Migration to Cloud

Yadav, Sanjeev Kumar; Khare, Akhil; Choudhary, Kavita

doi:10.1007/978-981-32-9949-8_2

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…1) Pre-migration planning and analysisin this initial phase of data migration, understanding the organizational context and identifying data migration plan to the cloud which involves analysing the existing/legacy applications based on available information and parameters with the aim to make informed decisions about migration [14]. This analysis provides understanding on the current state of the application [54]. The planning process should consider parameters such as security requirements, completeness, accuracy, and storage [7].…”

Section: Numbermentioning

confidence: 99%

A User Control Framework for Cloud Data Migration in Software as a Service

Injuwe,

Ibrahim,

Sidi

et al. 2024

IJACSA

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Cloud computing represents the overarching paradigm that enables organizations to leverage cloud services for data storage and application deployment. Nowadays, organizations that use the cloud services can migrate their data using software as a service (SaaS). The organizations' data and application are deployed over the cloud through the cloud data migration process of the on-premise to cloud migration; referring to the transition process from the legacy, locally hosted systems to cloud environment. Several data migration frameworks have emerged to guide users in the migration process. While numerous studies have addressed the importance of granting control to users during the cloud data migration process, a user control framework is yet to be created. Thereby, depriving user of visibility and sense of ownership, customization to meet users need, compliance and governance, and training. This paper aims at achieving this by proposing a conceptual user control framework for cloud data migration process in SaaS. The framework is constructed based on a comprehensive analysis conducted over existing research works that are related to cloud data migration with the aim to identify the steps/phases of data migration process, the factors affecting the user control with regard to the identified phases, and the control metrics of each identified factor. An initial conceptual user control framework is constructed based on the analysis of the literatures and further enhancement of the framework is made based on the expert reviews.

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Section: Numbermentioning

confidence: 99%

A User Control Framework for Cloud Data Migration in Software as a Service

Injuwe,

Ibrahim,

Sidi

et al. 2024

IJACSA

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“…The Lift-and-Shift approach, for example, only involves taking existing as-is on-premise applications and moving them to the cloud as a separate service while preserving existing architecture and limiting the cloud scalability features (Kalia et al, 2020). Thus, decomposing the monolith application into a suitable service boundary is crucial when migrating to the distributed cloud architecture (Hasan et Yadav et al, 2020) were introduced in assisting the decomposition process, not all the migration strategies consider quality assurance in their outline, hence introducing post-migration quality concerns consisting of maintainability, performance, security, and reliability (Hasan et al, 2023b). To overcome these gaps, we undertook a shift-left approach in proposing a decomposition framework to ensure the migration to the cloud achieved its goals, thus ful lling cloud-native bene ts (Fehling et al, 2014) at the earliest migration stage.…”

Section: The Decomposition Frameworkmentioning

confidence: 99%

A Quality Driven Framework for Decomposing Legacy Monolith Applications to Microservice Architecture

Hasan

Osman

Admodisastro

et al. 2023

Preprint

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Transforming monolith applications to microservice architecture is a common cloud migration strategy for businesses to accomplish cloud-native benefits. However, decomposing monolith applications is a challenging task that requires experience, skills, and dedication to initiate this process, and often, the migrated product quality is neglected. The lack of relevant guidelines on the design quality for distributed cloud environment architecture such as microservice further exacerbates this concern. We propose a quality-driven decomposition framework for migrating monolith applications to the cloud-native architecture. Our approach implies six activities in decomposing monolith applications from the source code to the microservice architecture. This framework supports various architectural design properties related to maintainability quality. Furthermore, this framework enhances the machine learning approach to enable automatic microservice identification, hence evaluating the design quality using a scoring-based approach. We use five applications to evaluate our approach, and the results show that our framework can provide insightful judgment to the designer regarding microservice design quality.

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