2019
DOI: 10.1155/2019/4109453
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A Framework for Risk-Energy Aware Service-Level Agreement Provisioning (RESP) for Computing the Quickest Path

Abstract: This paper involved the computation of quickest paths with the help of service-level agreement (SLA) and energy constraints. The consideration of these constraints helps to propose a novel system model which computes the path to strengthen the continuity and criticality of the data transmission. The proposed risk-energy aware SLA provisioning (RESP) system model incorporates the research gaps of the existing risk assessment models in the literature without any increase in time complexity. The formulation of RE… Show more

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Cited by 11 publications
(5 citation statements)
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“…Therefore, in order to further test the color matching effect of the system, the color difference is taken as an index for further testing. Color difference detection refers to the analysis of color difference after extracting the color characteristic value of the image [21,22].…”
Section: Color Difference Statistical Resultsmentioning
confidence: 99%
“…Therefore, in order to further test the color matching effect of the system, the color difference is taken as an index for further testing. Color difference detection refers to the analysis of color difference after extracting the color characteristic value of the image [21,22].…”
Section: Color Difference Statistical Resultsmentioning
confidence: 99%
“…As an alternative to the existing SLA provisioning models, they came up with a risk energy-aware SLA provisioning model (RSEP). TORA, DSR, DSDV, OLSR, and AODV [19,20] are also compared in a comparative review.…”
Section: Related Workmentioning
confidence: 99%
“…Focusing on ecological protection, technological innovation, and talent development enhances economic benefits when addressing high emission treatment costs and stringent requirements [35][36][37]. Advanced technologies such as the Internet of Things (IoT) or blockchain can further promote coordinated development between cold chain logistics for fresh agricultural products and the ecological environment [35,38].…”
Section: Introductionmentioning
confidence: 99%