The use of the multi-criteria AHP method to select a cloud computing provider

Niemcewicz, Piotr

doi:10.1016/j.procs.2021.09.025

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…This work was implemented for evaluating five CSPs based on four criteria which was a limitation of this research work [98]. A benchmarking tool was presented by Piotr [99], which analyzed five criteria using the AHP method to support inexperienced users for taking correct decisions while choosing the best solution from five available CSPs. The study was done for a country with limited CSPs and limited criteria.…”

Section: Various Mcdm Techniques Used For Cssmentioning

confidence: 99%

MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review

2022

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Section: Various Mcdm Techniques Used For Cssmentioning

confidence: 99%

MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review

2022

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“…The first aspect of AHP is successfully implemented in the research conducted by Niemcewicz [31], to choose the most appropriate cloud services provider.…”

Section: Analytic Hierarchy Processmentioning

confidence: 99%

“…Number of decision makers [31] Selection of Cloud computing provider 5 5 -- [32] Steel manufacturing company 4 9 30 - [33] Vendor selection in supply chain -5 -- [28] Vendor selection in supply chain 5 4 -- [34] Suppliers in manufacturing firm 3 6 19 -Note: Cells with '-'entry means that this data is not specified in respective study The first aspect is that of constructing the network comprising the goal, the criteria, and the alternatives while the second aspect is that of the mathematical basis which governs the decision-making process which includes the construction of different matrices. Similar to AHP, ANP performs pairwise comparisons between different criteria and alternatives.…”

Section: Number Of Subcriteriamentioning

confidence: 99%

Multi-Criteria Decision-Making Methods: A Case of Software Vendor Selection

Rani,

Mishra,

Omerovic

2024

TEM Journal

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Various multi-criteria decision-making methods have been utilized in literature to address vendor selection challenges in various contexts. This study reflects on these decision-making techniques for vendor selection in the software ecosystem during software outsourcing. For the same, firstly, a requirement framework for the decision-making process for software vendor selection is proposed. Afterwards, five selected different multi-criteria decision-making techniques are compared and critically analysed against this requirement framework. This study supports software practitioners and decision-makers by providing information about which decision-making method to choose, considering the trade-off between the benefits and drawbacks of adopting each method or using hybrid approaches by combining two or more techniques with fuzzy logic. It is found that decision-making techniques generally lack in modelling the problem itself and handling the conflicts and uncertainties that may prevail during the decision-making process. Furthermore, it has been identified that artificial neural networks (ANN) and analytic network process (ANP) can support the dependencies between alternatives and criteria while handling complex interactions in the software ecosystem. On the other hand, due to its comparative ease of use, analytic hierarchy process (AHP) can serve better in scenarios where decision-makers are not experienced, or past data to train the ANN or ANP models is unavailable.

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“…This model allows the client to pay only computing resources when needed. Cloud service provider (CSP) 3,4 is the owner of IT resources that are made available for being leased by clients. It is related to any required management to ensure the on‐going operation of the overall cloud infrastructure.…”

Section: Introductionmentioning

confidence: 99%

Extending OCCI for an autonomous SLA negotiation strategy in federated clouds

Bouabdallah

Fakhfakh

2023

Concurrency and Computation

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SummaryEach cloud service provider provides only an interface of its own cloud infrastructure for enabling clients to use its cloud resources. However, there is a number of difficulties for cloud providers to ensure proper functioning. One of the main problems of a cloud provider is the lack of resources to support a huge number of on‐demand resources provisioning. Thus, resources cannot be distributed among different cloud providers since the federation is not the basic operation of the cloud provider. The most efficient way to overcome this problem is to extend the interface's cloud provider with an automatic negotiation to dynamically form the best agreement between the different cloud providers based on the service level agreement. In this article, we propose an extension for the Open Cloud Computing Interface which is the standardized interface for the cloud computing to support the automatic negotiation between the different cloud providers. To prove the efficiency and the effectiveness of our approach, we implement a prototype to evaluate the key presented in this article.

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The use of the multi-criteria AHP method to select a cloud computing provider

Cited by 5 publications

References 14 publications

MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review

MCDM and Various Prioritization Methods in AHP for CSS: A Comprehensive Review

Multi-Criteria Decision-Making Methods: A Case of Software Vendor Selection

Extending OCCI for an autonomous SLA negotiation strategy in federated clouds

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