A Petri net-based decision-making framework for assessing cloud services adoption: The use of spot instances for cost reduction

Ribas, Maristella; Furtado, Corneli Gomes; Souza, José Neuman de; Barroso, Giovanni Cordeiro; Moura, António; Lima, Alberto Sampaio; Sousa, Flávio R. C.

doi:10.1016/j.jnca.2015.07.002

Cited by 21 publications

(11 citation statements)

References 30 publications

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“…The Petri net and workflow diagram are concurrent event records to describe computer processes (Cheng, Fan, Jia, & Zhang, 2013;Long & Zhang, 2014;Ribas et al, 2015;Wu, Wu, Zhang, & Olson, 2013). Application of the Petri network is one of the solutions in workflow diagram for its excellent feature of process records and information collection (Li, Wang, Zhao, & Liu, 2016;Nývlt, Haugen, & Ferkl, 2015;Zegordi & Davarzani, 2012).…”

Section: Rel Ated Workmentioning

confidence: 99%

“…Hsieh and Lin (2014) applied PNML to develop context-aware workflow systems using Petri net. Ribas et al (2015) proposed a place/transition or Petri net-based multicriteria decision-making (MCDM) framework to assess a cloud service in comparison with a similar on-premise service. The advantage of Petri Net is that the information can be classified with different colors according to the time coordinate records.…”

Section: Rel Ated Workmentioning

confidence: 99%

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Hierarchical network modeling with multidimensional information for aquatic safety management in the cold chain

Liu

2018

Food Science & Nutrition

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The cold‐chain information has characterized by the loss and dispersion according to the different collecting methods. The description for the quality decay factors of aquatic products can be defined as the multidimensional information. A series of nodes with multidimensional information are assembled to be hierarchies aiming at describing the environment conditions and locations in the supply chain. Each of the single hierarchy levels constitutes a sequence of node information in a network, which is applied as internal information analysis. The cross‐layer information structure is defined as “bridge” information which is able to record the information transmissions among every hierarchy from the point of view of the whole chain. The study has established a novel structured modeling to describe the cold chain of aquatic products based on a network‐hierarchy framework. An organized and sustainable transmission process can be built and recorded by the multidimensional attributes for the whole course of cold chain of aquatic products. In addition, seamless connections among every hierarchy are attainable by the environmental information records continuously to monitor the quality of aquatic products. The quality assessments and shelf life predictions are estimated properly as the risk control in order to monitor and trace the safety of aquatic products under the supply chain perspective.

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Section: Rel Ated Workmentioning

confidence: 99%

Section: Rel Ated Workmentioning

confidence: 99%

Hierarchical network modeling with multidimensional information for aquatic safety management in the cold chain

Liu

2018

Food Science & Nutrition

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“…It is also observed that their work mainly focuses on the SaaS provider whereas others (IaaS and PaaS) are ignored. Maristell et al proposed a framework for the assessment of the cloud service adoption. Their model is based on Petri Net‐based MCDM.…”

Section: Related Workmentioning

confidence: 99%

“…Their model is based on Petri Net‐based MCDM. The focus, in Maristell et al, is to which extent cloud should be used, rather than on the selection of a CSP. Nirnay et al proposed a framework SelCSP for the cloud provider selection, which assesses the risk involved in the interaction with CSP.…”

Section: Related Workmentioning

confidence: 99%

Integration of analytic network process with service measurement index framework for cloud service provider selection

Tripathi

Pathak

Vidyarthi

2017

Concurrency and Computation

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The growing popularity of cloud services has attracted large number of business organizations to enter into the cloud market. The varied availability of cloud service providers, for various services, leaves the cloud customers into skepticism. Service measurement index (SMI) framework, which is based on the analytic hierarchical process, is developed for the ranking of cloud services. As there are multiple dependencies among the criteria for the selection of cloud service provider, analytic hierarchical process formulation is not efficient. In the proposed work, analytic network process that captures the cloud service-provider selection problem in a more realistic way is integrated in the ranking component of SMI framework. In this method, interactions among the criteria are used for the ranking of the cloud services. Few new criterions are also added into the existing SMI framework to make the framework more effective. A case study is conducted to analyze the proposed technique for the cloud provider selection. KEYWORDSanalytic hierarchical process (AHP), analytic network process (ANP), cloud service provider (CSP), cloud service selection, service measurement index (SMI)

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“…Researchers have proposed various methods for ranking cloud services. Many studies address QoS attributes, and extensive efforts have been made to identify the metrics for measuring these attributes in cloud computing environment [7][8][9]. Quite a few researchers have focused on user requirements and proposed methods for measuring services based on requirements [1,10,11].…”

Section: Introductionmentioning

confidence: 99%

An integrated optimal method for cloud service ranking

Nejat¹,

Barzegar²,

Vahdat-Nejad³

2021

Turk J Elec Eng & Comp Sci

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Many cloud providers present various services with different attributes. It is a complex, lengthy process to select a cloud service that meets user requirements from an assortment of services. At the same time, user requirements are sometimes defined with imprecision (sets or intervals), whereas it is also important to consider the quality of user feedback (QoU) and quality of service (QoS) attributes for ranking. Besides, each MADM method has a different procedure, which causes functional contradictions. These contradictions have led to confusion in choosing the best MADM method. It is necessary to provide a method that harmonizes the results. Therefore, choosing a method for ranking cloud services that addresses these issues is currently a challenge. This paper proposes an optimal cloud service ranking (OCSR) method that ranks cloud services efficiently based on imprecise user requirements in both QoS and QoU aspects. OCSR consists of four stages including receiving the requirements, preprocessing, ranking, and integrating the ranking results. At the receiving requirements stage, the query format is created. In the preprocessing stage, a requirement interval is created for considering imprecise user requirements in order to filter inappropriate services. Based on QoS and QoU attributes, cloud services are then ranked through multiple multi-attribute decision-making (multi-MADM) methods such as the prominent MADM techniques. Finally, the ranking outputs of various methods are integrated to obtain the optimal results. The experimental results confirm that the OCSR outperforms the previous methods in terms of optimality of ranking, sensitivity analyses, and scalability.

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A Petri net-based decision-making framework for assessing cloud services adoption: The use of spot instances for cost reduction

Cited by 21 publications

References 30 publications

Hierarchical network modeling with multidimensional information for aquatic safety management in the cold chain

Hierarchical network modeling with multidimensional information for aquatic safety management in the cold chain

Integration of analytic network process with service measurement index framework for cloud service provider selection

An integrated optimal method for cloud service ranking

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