FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4319877720> ?p ?o ?g. }

• W4319877720 abstract "Abstract With the continuous progress of cloud computing, many microservices and complex multi-component applications arise for which resource planning is a great challenge. For example, when it comes to data-intensive cloud-native applications, the tenant might be eager to provision cloud resources in an economical manner while ensuring that the application performance meets the requirements in terms of data throughput. However, due to the complexity of the interplay between the building blocks, adequately setting resource limits of the components separately for various data rates is nearly impossible. In this paper, we propose a comprehensive approach that consists of measuring the resource footprint and data throughput performance of such a microservices-based application, analyzing the measurement results by data mining techniques, and finally formulating an optimization problem that aims to minimize the allocated resources given the performance constraints. We illustrate the benefits of the proposed approach on Cortex, an extension to Prometheus for storing monitored metrics data. The data-intensive nature of this illustrative example stems from real-time monitoring of metrics exposed by a multitude of applications running in a data center and the continuous analysis performed on the collected data that can be fetched from Cortex. We present Cortex’s performance vs resource footprint trade-off, and then we build regression models to predict the microservices’ resource consumption and draw a mathematical programming formulation to optimize the most important configuration parameters. Our most important finding is the linear relationship between resource consumption and application performance, which allows for applying linear regression and linear programming models. After the optimization, we compare our results to Cortex’s recommendation, leading to a CPU reservation reduced by 50–80%." @default.
• W4319877720 created "2023-02-11" @default.
• W4319877720 creator A5023196240 @default.
• W4319877720 creator A5081472921 @default.
• W4319877720 date "2023-02-09" @default.
• W4319877720 modified "2023-09-27" @default.
• W4319877720 title "Minimizing Resource Allocation for Cloud-Native Microservices" @default.
• W4319877720 cites W2270218991 @default.
• W4319877720 cites W2564821461 @default.
• W4319877720 cites W2934850407 @default.
• W4319877720 cites W2963873918 @default.
• W4319877720 cites W2966335382 @default.
• W4319877720 cites W2970125901 @default.
• W4319877720 cites W2987695188 @default.
• W4319877720 cites W3046858020 @default.
• W4319877720 cites W3129710704 @default.
• W4319877720 doi "https://doi.org/10.1007/s10922-023-09726-3" @default.
• W4319877720 hasPublicationYear "2023" @default.
• W4319877720 type Work @default.
• W4319877720 citedByCount "0" @default.
• W4319877720 crossrefType "journal-article" @default.
• W4319877720 hasAuthorship W4319877720A5023196240 @default.
• W4319877720 hasAuthorship W4319877720A5081472921 @default.
• W4319877720 hasBestOaLocation W43198777201 @default.
• W4319877720 hasConcept C111919701 @default.
• W4319877720 hasConcept C120314980 @default.
• W4319877720 hasConcept C157764524 @default.
• W4319877720 hasConcept C206345919 @default.
• W4319877720 hasConcept C2778505942 @default.
• W4319877720 hasConcept C29202148 @default.
• W4319877720 hasConcept C31258907 @default.
• W4319877720 hasConcept C41008148 @default.
• W4319877720 hasConcept C555944384 @default.
• W4319877720 hasConcept C74912251 @default.
• W4319877720 hasConcept C77088390 @default.
• W4319877720 hasConcept C79974875 @default.
• W4319877720 hasConceptScore W4319877720C111919701 @default.
• W4319877720 hasConceptScore W4319877720C120314980 @default.
• W4319877720 hasConceptScore W4319877720C157764524 @default.
• W4319877720 hasConceptScore W4319877720C206345919 @default.
• W4319877720 hasConceptScore W4319877720C2778505942 @default.
• W4319877720 hasConceptScore W4319877720C29202148 @default.
• W4319877720 hasConceptScore W4319877720C31258907 @default.
• W4319877720 hasConceptScore W4319877720C41008148 @default.
• W4319877720 hasConceptScore W4319877720C555944384 @default.
• W4319877720 hasConceptScore W4319877720C74912251 @default.
• W4319877720 hasConceptScore W4319877720C77088390 @default.
• W4319877720 hasConceptScore W4319877720C79974875 @default.
• W4319877720 hasFunder F4320311358 @default.
• W4319877720 hasFunder F4320326762 @default.
• W4319877720 hasIssue "2" @default.
• W4319877720 hasLocation W43198777201 @default.
• W4319877720 hasOpenAccess W4319877720 @default.
• W4319877720 hasPrimaryLocation W43198777201 @default.
• W4319877720 hasRelatedWork W2020600041 @default.
• W4319877720 hasRelatedWork W2024969333 @default.
• W4319877720 hasRelatedWork W2042072109 @default.
• W4319877720 hasRelatedWork W2310750045 @default.
• W4319877720 hasRelatedWork W2788675931 @default.
• W4319877720 hasRelatedWork W2792071139 @default.
• W4319877720 hasRelatedWork W2995449014 @default.
• W4319877720 hasRelatedWork W3166820113 @default.
• W4319877720 hasRelatedWork W3212477594 @default.
• W4319877720 hasRelatedWork W4283067488 @default.
• W4319877720 hasVolume "31" @default.
• W4319877720 isParatext "false" @default.
• W4319877720 isRetracted "false" @default.
• W4319877720 workType "article" @default.