A decision-based pre-emptive fair scheduling strategy to process cloud computing work-flows for sustainable enterprise management

Babu, L. D. Dhinesh; Gunasekaran, Angappa; Krishna, P. Venkata

doi:10.1504/ijbis.2014.063929

Cited by 18 publications

(3 citation statements)

References 44 publications

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“…It has led to computing being transformed to a model comprising services that are commoditised and delivered in a manner similar to traditional public utilities which stimulates a new paradigm -Cloud Computing. The emergence of this phenomenon fundamentally changed the way information systems are developed, deployed, scaled, supported, and paid for [2]. It has attracted many companies to migrate existing systems due to their promised advantages, particularly the reduction of capital expenses and the virtually infinite resource capacity that enhances businesses' agility [3].…”

Section: Introductionmentioning

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: Introductionmentioning

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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“…Conducting an evaluation of the benefits, risks and costs is also far from straightforward [14]. Further, the shift towards the cloud is likely to result in considerable changes in how IT services are developed, deployed, supported, and paid for [15]. This has led to the need for organisational and socio-technical factors to be taken into account during the decision making process [14].…”

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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“…By utilising the SaaS, the customers may eliminate the cost of having an application and improve the value on return on investment (ROI). This is one of the reasons why SaaS becomes a popular option nowadays (Babu et al, 2014;Gupta, 2013;Lindner et al, 2010;Ratnam and Dominic, 2014), including for the business-to-business (B2B) purposes (Petrescu, 2012).…”

Section: Introductionmentioning

confidence: 99%

Software as a service quality factors evaluation using analytic hierarchy process

Fitrianah

Phusavat

Hidayanto

et al. 2017

IJBIS

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Abstract:The purposes of this research are to identify software as a service (SaaS) quality factors and to utilise these factors in developing a framework to evaluate the SaaS service quality given by the SaaS providers. The framework is developed using the analytic hierarchy process (AHP) and involving ten respondents with 4-18 years experiences in SaaS field. The result of the process shows that there are 32 factors that influence the SaaS quality. These factors consist of 15 factors related to product, ten factors related to process and seven factors related to organisation. The highest priorities of each group are factors related to security, quality control, and technically competent employee for product, process, and organisation group, respectively. We also demonstrate the application of the SaaS service quality factors framework to evaluate the SaaS service quality in one of the SaaS-based human resource management application vendor.

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A decision-based pre-emptive fair scheduling strategy to process cloud computing work-flows for sustainable enterprise management

Cited by 18 publications

References 44 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

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

Software as a service quality factors evaluation using analytic hierarchy process

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