An Efficient Multivariate Autoscaling Framework Using Bi-LSTM for Cloud Computing
Applied Sciences, 2022 With the rapid development of 5G technology, the need for a flexible and scalable real-time system for data processing has become increasingly important.
Nhat-Minh Dang-Quang, Myungsik Yoo
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Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes
Mathematics, 2023 Most enterprise customers now choose to divide a large monolithic service into large numbers of loosely-coupled, specialized microservices, which can be developed and deployed separately.
Subrota Kumar Mondal +6 more
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A study on performance measures for auto-scaling CPU-intensive containerized applications [PDF]
, 2019 Autoscaling of containers can leverage performance measures from the different layers of the computational stack. This paper investigate the problem of selecting the most appropriate performance measure to activate auto-scaling actions aiming at ...
Casalicchio, Emiliano
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Suitable classification of mortars from ancient roman and renaissance frescoes using thermal analysis and chemometrics [PDF]
, 2015 Background Literature on mortars has mainly focused on the identification and characterization of their components in order to assign them to a specific historical period, after accurate classification.
Campanella, Luigi +4 more
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Use of the R-group descriptor for alignment-free QSAR [PDF]
, 2005 An R-group descriptor characterises the distribution of some atom-based property, such as elemental type or partial atomic charge, at increasing numbers of bonds distant from the point of substitution on a parent ring system. Application of Partial Least
Gedeck, P. +4 more
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Designing a VM-level vertical scalability service in current cloud platforms: A new hope for wearable computers [PDF]
, 2015 The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.Public clouds are becoming ripe for enterprise adoption.
Kaiiali, Mustafa
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Adaptive microservice scaling for elastic applications [PDF]
, 2020 Today, Internet users expect Web applications to be fast, performant, and always available. With the emergence of Internet of Things (IoT), data collection and the analysis of streams have become more and more challenging.
BESSIS, NIKOLAOS +2 more
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Self-Adaptive Data Processing to Improve SLOs for Dynamic IoT Workloads
Computers, 2020 Internet of Things (IoT) covers scenarios of cyber−physical interaction of smart devices with humans and the environment and, such as applications in smart city, smart manufacturing, predictive maintenance, and smart home. Traditional scenarios are
Peeranut Chindanonda +2 more
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New frontiers in thermal analysis: A TG/Chemometrics approach for postmortem interval estimation in vitreous humor [PDF]
, 2017 The coupling of thermogravimetric analysis (TG) associated with chemometrics is proposed as an innovative approach in thanatochemistry in order to develop a new analytical tool using thermal analysis for the characterization of vitreous humor.
Fabiano, MARIA AURORA +7 more
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Collective Autoscaling for Cloud Microservices
, 2021 As cloud applications shift from monoliths to loosely coupled microservices, application developers must decide how many compute resources (e.g., number of replicated containers) to assign to each microservice within an application. This decision affects both (1) the dollar cost to the application developer and (2) the end-to-end latency perceived by ...
Sachidananda, Vighnesh +1 more
openaire +2 more sources