A cost-benefit analysis of using cloud computing to extend the capacity of clusters

Assunção, Marcos Dias de; Costanzo, Alexandre; Buyya, Rajkumar

doi:10.1007/s10586-010-0131-x

Cited by 101 publications

(38 citation statements)

References 32 publications

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“…GTJD is also supported by leading Cloud researchers. Buyya et al (2008Buyya et al ( , 2009Buyya et al ( , 2010 demonstrates how their challenges are met, and their SLA models have been useful in getting their jobs and requirements done. Foster et al (2008) demonstrates how Scientific Workflows can be achieved and fulfill scientific challenges.…”

Section: Cloud Challenges In Business Contextmentioning

confidence: 99%

“…Anderton , 2008;Waters, 2008;Hull, 2009Investors Anderton, 2008Waters, 2008;Hull, 2009Popularity Anderton, 2008Waters, 2008;Hull, 2009Valuation Anderton, 2008Waters, 2008;Hull, 2009Innovation Anderton, 2008Waters, 2008;Hull, 2009 Get the job done (GTJD) Buyya et al (2008Buyya et al ( , 2009Buyya et al ( , 2010; Foster et al (2008) Table 2, are designed for strategic levels and are useful for long-term sustainability. However, operational management has a different perspective of core successful elements, since there is a difference in terms of problems and challenges faced by strategic executives and operational staff.…”

Section: Success Factors Papers and Books Consumersmentioning

confidence: 99%

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A Proposed Framework for Cloud Computing adoption

Chang¹

2016

International Journal of Organizational and Collective Intelligence

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This paper presents a review related to Cloud Computing focusing on Cloud business requirements. From the review we recommend a number of methods managing Cloud services and evaluating its service performance, including the use of a pair of the Hexagon Models. Three organizational challenges of Cloud adoption are identified: (i) Organizational Sustainability; (ii) Portability and (iii) Linkage. The Cloud Computing Adoption Framework (CCAF) is designed to deal with these challenges by helping organizations to achieve good Cloud designs, deployment and services. How these three challenges are addressed by the CCAF is demonstrated using case studies. Services implemented by CCAF are reviewed using the Hexagon Models for comparison. This paper provides recommendations to help organizations, researchers and practitioners to understand Cloud business context, to measure their risk and return analysis, to migrate their services to Cloud from all types and to connect and integrate different services as a single service. Future direction and security concerns have been addressed in our framework.

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Section: Cloud Challenges In Business Contextmentioning

confidence: 99%

Section: Success Factors Papers and Books Consumersmentioning

confidence: 99%

A Proposed Framework for Cloud Computing adoption

Chang¹

2016

International Journal of Organizational and Collective Intelligence

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“…Cloud-based EMR systems are likely to attract many US health delivery organsations (Sultan, 2014;Kolakowski, 2010). de Assunção et al (2010) conducted a cost-benefit analysis of cloud-based services over the capability of cluster-based solution. The study found effective performance and response times with lower usage cost when using cloud-based operations.…”

Section: Main Innovations Technological Components With the Key Purposesmentioning

confidence: 99%

Information and communication technology-based innovations for aging healthcare: a literature review

Miah

2014

IJCIH

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Abstract:The paper presents a systematic literature review to identify the key application areas of innovations through the use of information and communication technologies (ICT) in providing healthcare information to elderly population. Out of the 210 articles published in various health informatics and information systems journals, 42 were identified to meet the requirements for inclusion in the particular review. Based on our analysis, ICT innovations offered for elderly population's healthcare are classified as: smart home-based; mobile-based; online-based; and personalised device and application-based innovations. However, most of the innovations focus only on user side demands and omit the service providers' dynamic demands for information delivery. A cloud computing-based innovation shows promise to develop an effective information delivery approach to provide benefits, both for service providers and the elderly population, needing to deliver and use relevant technologies.Keywords: aging population; ICT solutions; cloud computing, healthcare informatics. Biographical notes: Shah Jahan Miah is a faculty member of Information Systems (IS) at Victoria University, Melbourne Australia. Prior to this position, he had academic positions at the University of the Sunshine Coast, Griffith University and James Cook University, Australia. He has received his PhD (in the area of decision support systems), jointly from the Institute for Integrated and Intelligent Systems and Griffith Business School, Griffith University, Australia. He is an early career researcher who has lead authored over 50 peer reviewed publications including research book chapters, journal and conference papers in different IS areas and taught over 20 different IS/IT subjects for both postgraduate and undergraduate levels. His current research interests are decision support systems for industries, design science research methodologies, e-service design for businesses and healthcare information systems development. Reference Information and communication technology-based innovations 29

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“…If the task could not be completed using the resources in the private cloud then additional resources required are acquired from the public cloud service provider. A redirection strategy is used to redirect the tasks to the public cloud scheduler and the tasks are scheduled onto virtual machines in the public cloud [8].…”

Section: Components Of Task Scheduling In a Hybrid Cloud Fig 1: Compomentioning

confidence: 99%

A Taxonomy and Survey of Scheduling Algorithms in Cloud: Based on task dependency

J¹,

W²,

Shriram³

2013

IJCA

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Cloud computing has made the dream of scalability of resources on demand come true. As the usage of the resources on the cloud involves cost, their optimal utilization is vital. Various scheduling algorithms are being designed and implemented seamlessly to achieve this goal. One of the factors that have a high impact on the scheduling algorithm design is the dependency of the tasks. Dependency implies that the tasks are executed in some precedence order. This survey provides a review of the various scheduling algorithms in cloud mainly from the perspective of task dependency. The broad categorization, advantages and the disadvantages of the various scheduling algorithms available for both dependent and independent tasks are discussed. Based on a comprehensive understanding of the challenges and the current research trends, some open issues worthy of further exploration are proposed.

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A cost-benefit analysis of using cloud computing to extend the capacity of clusters

Cited by 101 publications

References 32 publications

A Proposed Framework for Cloud Computing adoption

A Proposed Framework for Cloud Computing adoption

Information and communication technology-based innovations for aging healthcare: a literature review

A Taxonomy and Survey of Scheduling Algorithms in Cloud: Based on task dependency

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