Decision support for partially moving applications to the cloud

Juan-Verdejo, Adrián; Baars, Henning

doi:10.1145/2462307.2462316

Cited by 16 publications

(14 citation statements)

References 17 publications

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“…The proposals in [4], [18], [27], [30], [31], and [32] aimed to support the migration of applications to the cloud. In [4] the need for adaptation to operate in the cloud environment was taken into account and the selection of a cloud offering that address the requirements of an application was considered in [18].…”

Section: A Review Of the Existing Cloud Dsssmentioning

confidence: 99%

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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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Section: A Review Of the Existing Cloud Dsssmentioning

confidence: 99%

“…Juan-Verdejo and Baars [32] proposed a decision support system for partially migrating an application to the cloud. Applications are usually subject to strict requirements such as privacy, security and compliance.…”

Section: A Review Of the Existing Cloud Dsssmentioning

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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“…is the relative importance of the two nodes and . Its standard value is given by psychologists as shown in [20]. The range of is {1,2,3,4,5,6,7,8,9,1/2,1/3,1/4,1/5,1/6,1/7,1/8,1/9}.…”

Section: Unavailability Of Resourcesmentioning

confidence: 99%

A Generic Method of Migrating Enterprise Components Partially to the Cloud

Jiang

Haihong

Song

et al. 2014

Pervasive Computing and the Networked World

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Abstract. Hybrid migration of enterprise system is to move some components to the cloud, and leave others on premise based on their security or performance requirements. To make hybrid migration strategy, one challenge is how to choose constraints and use them to help determine which components to migrate, and which cloud to use. Existing methods, however, either limit to calculate the quantifiable constraints to generate several alternatives or just list all constraints without stating how to analyze and use them to filter alternatives. In this paper, we extend existing method to a two-phase process: 1) use quantifiable constraints to generate several alternatives; 2) use AHP (Analytic Hierarchy Process) to automate the best solution selection process based on the hierarchical unquantifiable constraints. Analysis shows that our method takes advantage of the accuracy of the quantifiable parameters as well as analysts' subjective judgment of the importance of the unquantifiable constraints, so that generates a more precise solution meeting enterprise's subjective requirements.

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“…Current research works in this context focus either on the technical, social, economic, business, sensitivity-related or organizational concerns that affect applications migration [4] [5] [6] [7] [8] [9]. The issue is that they separate aspects of the migration decision that are connected and depend on each other [10]. Additionally, by not taking deeply into account the target system for migration these works cannot include particular characteristics related to the migration of BI systems [11].…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, by not taking deeply into account the target system for migration these works cannot include particular characteristics related to the migration of BI systems [11]. What parts of a BI system migrate to cloud environments and how to do it depends on the selected cloud service, the organisation's interest and focus in moving their BI system to it, and the specific BI system's architecture and properties [10]. The cloud service selection is often not considered at all or considered independently from the other interconnected concerns.…”

Section: Introductionmentioning

confidence: 99%

Moving Business Intelligence to cloud environments

Juan-Verdejo

Surajbali

Baars

et al. 2014

2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

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Business Intelligence systems use information technology to supply integrated management support with data coming from several sources of structured and unstructured data. The integrated infrastructures of Business Intelligence (BI) are often too complex and hence costly and inflexible. A solution for these issues is to leverage cloud computing services to enhance legacy BI systems and applications with cost-efficient increased scalability and flexibility. However, the migration of BI systems to cloud environments is usually hindered by strict requirements regarding privacy, security, or availability and a multitude of interdependences with other systems. In this paper, we describe the challenges in the adoption of BI within cloud environments and propose a cloud migration framework to assist decision makers in taking into account the consequences of the migration of BI systems to cloud environments as well as the impact of privacy, security, cost, and performance in so doing.

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Decision support for partially moving applications to the cloud

Cited by 16 publications

References 17 publications

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

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

A Generic Method of Migrating Enterprise Components Partially to the Cloud

Moving Business Intelligence to cloud environments

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