2021
DOI: 10.1155/2021/5556378
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A Novel Resource Productivity Based on Granular Neural Network in Cloud Computing

Abstract: In recent years, due to the growing demand for computational resources, particularly in cloud computing systems, the data centers’ energy consumption is continually increasing, which directly causes price rise and reductions of resources’ productivity. Although many energy-aware approaches attempt to minimize the consumption of energy, they cannot minimize the violation of service-level agreements at the same time. In this paper, we propose a method using a granular neural network, which is used to model data … Show more

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Cited by 8 publications
(6 citation statements)
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“…Because of the novelty of this computational model in data mining, all researchers in this field have introduced the model and proved its validity. In previous works, the predictive properties of this method are used in areas such as cloud computing [16,17], geology [18], water science [19], and chemical [20,21].…”
Section: Related Workmentioning
confidence: 99%
See 1 more Smart Citation
“…Because of the novelty of this computational model in data mining, all researchers in this field have introduced the model and proved its validity. In previous works, the predictive properties of this method are used in areas such as cloud computing [16,17], geology [18], water science [19], and chemical [20,21].…”
Section: Related Workmentioning
confidence: 99%
“…Description of granules using a special logic language: the information presented in the information table can be deduced [16]. Along with an information table, a specific logic language can be defined to define an object or group of objects in the universe [14].…”
Section: Granular Computingmentioning
confidence: 99%
“…If the unit processing cost per 𝑃 𝑒𝑗 is equal to 𝑃𝐶 𝑗 , then the energy consumed to perform the whole task U is equal to (3).…”
Section: Energy Consumption Problem Analysismentioning
confidence: 99%
“…The National Institute of Technology and Standards defines cloud computing as: "cloud computing is a model for providing easy access based on the demand of user by the network to a set of changeable and configurable computing resources (e.g., networks, servers, storage, applications, and services) that this access can be provided or release with minimal need for resources management or the need for direct intervention by the service provider". Sharing "intangible and consumable" computing power among several tenants can improve productivity rates because other servers are not idle for any reason with this effective way and computers are being used more because cloud computing clients do not need to calculate and determine their maximum load [3].…”
Section: Introductionmentioning
confidence: 99%
“…Currently, as the number of cloud computing customers increases, scheduling becomes quite tricky, requiring the use of appropriate scheduling algorithms. Some scheduling algorithms are developed in the early stages under the grid computing environment [3].…”
Section: Introductionmentioning
confidence: 99%