Migrating Legacy Software to the Cloud with ARTIST

Bergmayr, Alexander; Brunelière, Hugo; Izquierdo, Javier Luis Cánovas; Gorroñogoitia, Jesús; Kousiouris, George; Kyriazis, Dimosthenis; Langer, Phillip; Menychtas, Andreas; Orue-Echevarria, Leire; Pezuela, C.; Wimmer, Manuel

doi:10.1109/csmr.2013.73

Cited by 31 publications

(21 citation statements)

References 3 publications

(4 reference statements)

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“…According to [51] the systematic and efficient modernisation of legacy applications to exploit current cloud-based technologies remains a major challenge. Applications consist of several components that are connected with each other to comply with the application's functional and non-functional requirements [50].…”

Section: Internal Social Networkmentioning

confidence: 99%

An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model

2017

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Migrating existing resources to cloud computing is a strategic organisational decision that can be difficult. It requires the consideration and evaluation of a wide range of technical and organisational aspects. Although a significant amount of attention has been paid by many industrialists and academics to aid migration decisions, the procedure remains difficult. This is mainly due to underestimation of the range of factors and characteristics affecting the decision for cloud migration. Further research is needed to investigate the level of effect these factors have on migration decisions and the overall complexity. This paper aims to explore the level of complexity of the decision to migrate the cloud. A research model based on the diffusion of innovation (DOI) theory and the technology-organization-environment (TOE) framework was developed. The model was tested using exploratory and confirmatory factor analysis. The quantitative analysis shows the level of impact of the identified variables on the decision to migrate. Seven determinants that contribute to the complexity of the decisions are identified. They need to be taken into account to ensure successful migration. This result has expanded the collective knowledge about the complexity of the issues that have to be considered when making decisions to migrate to the cloud. It contributes to the literature that addresses the complex and multidimensional nature of migrating to the cloud.

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Section: Internal Social Networkmentioning

confidence: 99%

An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model

2017

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“…The ARTIST software modernization process [8] The proposed modernization process ( Fig. 2.3) consists of a premigration, migration, and postmigration phase.…”

Section: Fig 23mentioning

confidence: 99%

Methodologies for Cloud Portability and Interoperability

Martino¹,

Cretella²,

Esposito³

2015

Cloud Portability and Interoperability

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The OMG model-driven architecture (MDA) [1] is a model-based approach for the development of software systems that aims at separating the platform-independent design of a software application from its implementation on a given platform. The main feature and benefits of MDA from the cloud perspective are the enablement of portability, interoperability, and reusability of (parts of) the system, as well as its easy maintenance, through human-readable and reusable specifications at various levels of abstraction. In the context of cloud computing, model-driven development allows developers to design software systems in a cloud-agnostic way, and to be supported by model transformation techniques into the process of instantiating the system into specific and multiple clouds. This approach, which is commonly summarized as "model once, generate anywhere", is particularly relevant when it comes to designing and managing applications across multiple clouds, as well as migrating them from one cloud to another. Combining model-driven application engineering and the cloud computing domain is currently the focus of several research groups and projects, among others, MODAClouds MDA in MODACloudsMODAClouds-MOdel-Driven Approach for design and execution of applications on multiple Clouds [6] is an EC-funded research project that proposes a model-driven approach aimed at supporting system developers and operators in utilizing multiple clouds and in migrating parts of their systems from cloud to cloud as needed. The MODACloudML platform relies on a domain-specific language for the design and execution of applications on multiple clouds. The model-driven engineering approach adopted by the MODACloudML platform allows developers

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“…Another dimension is the need for service design and adaptation. According to Bergmayr et al [26] the systematic and efficient modernisation of legacy applications to exploit current cloud-based technologies remains a major challenge. Failure or incorrect adaption might result in difficulties in meeting some quality or economic requirements [27].…”

Section: The Complexity In the Decisions Of Migrating To The Cloudmentioning

confidence: 99%

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

Alkhalil

Sahandi

John

2016

Proceedings of the International Conference on Internet of Things and Cloud Computing

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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.

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Migrating Legacy Software to the Cloud with ARTIST

Cited by 31 publications

References 3 publications

An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model

An exploration of the determinants for decision to migrate existing resources to cloud computing using an integrated TOE-DOI model

Methodologies for Cloud Portability and Interoperability

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

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