The analysis of service provider-user coordination for resource allocation in cloud computing

Ye, Nong; Yang, Su; Aranda, Billibaldo Martinez

doi:10.3233/iks-2002-00214

Cited by 4 publications

(5 citation statements)

References 38 publications

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“…The service provider hosting the application system perform updates that take place seamlessly without any scheduled downtime (Sultan, 2011;Yang, 2012) or the removal of legacy IT systems which allows organisations to extend their software applications into other global regions. This agility is also provided for the PaaS and IaaS models that allow organisations to remain at the cutting edge of technology in order to retain and attract clients with minimal up-front investment and eliminating ownership costs (Sultan, 2011;Gupta et al, 2013;Ye et al, 2013). The cloud has often been seen as ideal for short-term projects, since users can concentrate on the project, rather than the hassles of setting up the technical infrastructure for the support, credit to the quick deployment opportunities and ease of integration (Yang, 2012;Gupta et al, 2013).…”

Section: Cloud Computing Benefits and Risksmentioning

confidence: 99%

“…Compatibility is consider as an essential factor for adoption of new IS innovations where organisations are more likely to contemplate adopting the cloud if the technology is recognised as being compatible with existing work application systems and the organisations values and beliefs. Cloud computing allows organisations to remain at the cutting edge of technology without affecting current legacy IT systems in-line with their organisational managerial and operational needs (Sultan, 2011;Gupta et al, 2013;Ye et al, 2013):…”

Section: Conceptual Model and Hypothesisesmentioning

confidence: 99%

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Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK

Gutiérrez

Boukrami

Lumsden

2015

Journal of Enterprise Information Management

270

235

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Purpose – The purpose of this paper is to determine the factors influencing managers’ decision to adopt cloud computing in the UK using the “Technology-Organisation-Environment” (TOE) framework. Design/methodology/approach – Data were collected through a self-created questionnaire based survey that was completed by 257 mid-to-senior level decision-making business and information technology (IT) professionals from a range of UK end-user organisations. The derived hypotheses were tested using various data analysis techniques including principal component analysis and logistic regression. Findings – The results show that four out of the eight factors examined have a significant influence on the adoption decision of cloud computing services in the UK. Those key factors include competitive pressure, complexity, technology readiness and trading partner pressure. The latter predictor; trading partner pressure, was the most significant factor for the adoption decision of cloud services reflecting organisations’ concerns on legal regulations, co-creation and customisation, service linkage and vendor locking which adds complexity to the process of selecting an appropriate vendor. Research limitations/implications – This research found trading partners (cloud service providers) significantly influence managers’ decisions to adopt cloud services, however, further research is required to fully understand all the aspects involved especially with the growing number of vendors available. Although over 250 usable responses to the questionnaire were received and analysed, there was not a sufficient quantity of responses from each industry sector or organisation size to conduct further analysis. Practical implications – The findings reveal the important role of cloud computing service providers to enable end-users to better evaluate the use of cloud computing. It also reveals that top management support is no longer a driver as organisations are starting to adopt cloud computing services on the basis of cheaper and more agile IT resources in order to support business growth. Originality/value – This research provides original insight for cloud computing adoption within the UK from a managerial perspective.

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Section: Cloud Computing Benefits and Risksmentioning

confidence: 99%

Section: Conceptual Model and Hypothesisesmentioning

confidence: 99%

Technological, organisational and environmental factors influencing managers’ decision to adopt cloud computing in the UK

Gutiérrez

Boukrami

Lumsden

2015

Journal of Enterprise Information Management

270

235

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“…In comparison with the reviewed work as summarized in Table 1, this study considers the satisfaction of QoS and resource requirements stated in Service Level Agreements (SLA) when determining the allocation of computer and network resources to service requests, rather than allowing SLA violations. To ensure the satisfaction of all service requests' requirements, this study introduces the use of system models [6] for the precise resource allocation. System models capture how services impose loads on resources and change the state of resources and the system performance.…”

Section: Rjcse: April; 2019: Page No: 01-21mentioning

confidence: 99%

“…The resource allocation is often addressed as an optimization problem consisting of objectives, decision variables, and constraints. There are mainly three types of optimization objectives in resource allocation: 1) Resource performance objectives such as resource utilization, load balancing, and energy saving by switching on and off servers depending on their workload and resource status [6,9,11,16,17,23,26,[31][32][33][34].…”

Section: The Formulation Of a Resource Allocation Optimization Problemmentioning

confidence: 99%

“…2) System performance objectives such as the system throughput measured by the number of jobs executed by a system [6,15,20,22,33,35,36], and 3) Application performance objectives such as response time (e.g., execution time and makespan), quality of service (QoS), etc. [6,11,12,14,15,19,22,24,26,29,30,35,37,[38][39][40].…”

Section: The Formulation Of a Resource Allocation Optimization Problemmentioning

confidence: 99%

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Heuristics for Efficient Resource Allocation in Cloud Computing

Yang

2019

Res J Comput Sci Eng

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The resource allocation in cloud computing determines the allocation of computer and network resources of service providers to service requests of users for meeting user service requirements. It is not scalable to solve the resource allocation problem as an optimization problem to obtain the optimal solution in real time. This paper presents the development and testing of heuristics for the efficient resource allocation to obtain near-optimal solutions in a scalable manner. We first define the resource allocation problem as a Mixed Integer rogramming (MIP) optimization problem and obtain the optimal solutions for various resource-service problem types. Based on the analysis of the optimal solutions, we design heuristics for the efficient resource allocation. Then we evaluate the performance of the resource allocation heuristics using various resource-service problem types and different numbers of service requests and resources. The results show the comparable performance of the heuristics to the optimal solutions. The resource allocation heuristics also demonstrate the better computational efficiency and thus scalability than solving the MIP problems to obtain the optimal solutions. Keywords: Resource allocation; Clouds computing; Heuristics; Mixed integer programming

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