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Dew computing differs from the classical cloud and edge computing by bringing devices closer to the end-users and adding autonomous processing independent from the Internet, but it is still able to collaborate with other devices to exchange information ...
Marjan Gusev
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The Shape of Your Cloud: How to Design and Run Polylithic Cloud Applications
Nowadays the major trend in IT dictates deploying applications in the cloud, cutting the monolithic software into small, easily manageable and developable components, and running them in a microservice scheme. With these choices come the questions: which
Laszlo Toka
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The emerging serverless computing has become a captivating paradigm for deploying cloud applications, alleviating developers’ concerns about infrastructure resource management by configuring necessary parameters such as latency and memory constraints ...
Ming Li +4 more
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FaaS-Oriented Node.js Applications in an RPC Approach Using the Node2FaaS Framework
The Function-as-a-Service (FaaS) service model has aroused great interest since its introduction in the context of cloud computing. Although FaaS can be used to perform isolated tasks, it is in the composition of applications that this service model can ...
Leonardo Reboucas de Carvalho +1 more
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Optimizing precision agricultural operations by standardized cloud-based functions
Aim of study: An approach to integrate knowledge into the IT-infrastructure of precision agriculture (PA) is presented. The creation of operation relevant information is analyzed and explored to be processed by standardized web services and thereby to ...
Markus Jackenkroll +4 more
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PAPS: A Serverless Platform for Edge Computing Infrastructures
Edge computing infrastructures are often employed to run applications with low latency requirements. Users can exploits nodes that are close to their physical positions so that the delay of sending computations and data to the Cloud is mitigated.
Luciano Baresi, Giovanni Quattrocchi
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Serverless on Machine Learning: A Systematic Mapping Study
Machine Learning Operations (MLOps) is an approach to managing the entire lifecycle of a machine learning model. It has evolved over the last years and has started attracting many people in research and businesses in the industry.
Amine Barrak +2 more
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IoT Serverless Computing at the Edge: A Systematic Mapping Review
Serverless computing is a new concept allowing developers to focus on the core functionality of their code, while abstracting away the underlying infrastructure.
Vojdan Kjorveziroski +2 more
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SaaS Security Oriented Virtual Network Function Embedding Method Under Cloud-Network Integration [PDF]
In the context of cloud-network integration, the cloud infrastructure carrying Software as a Service(SaaS) business functions may span multiple data centers and home networks, which adds difficulty to the security and controllability of cloud resources ...
LI Lingshu, WU Jiangxing
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TppFaaS: Modeling Serverless Functions Invocations via Temporal Point Processes
Serverless computing is a cloud computing paradigm that allows developers to focus exclusively on business logic as cloud service providers manage resource management tasks.
Markus Steinbach +4 more
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