Quantifying uncertainty in internet of medical things and big-data services using intelligence and deep learning
In the cloud-based Internet of Things (IoT) environments, quantifying uncertainty is an
important element input to keep the acceptable level of reliability in various configurations. In …
important element input to keep the acceptable level of reliability in various configurations. In …
DevOps: introducing infrastructure-as-code
M Artac, T Borovssak, E Di Nitto… - 2017 IEEE/ACM 39th …, 2017 - ieeexplore.ieee.org
DevOps entails a series of software engineering tactics aimed at shortening the actionable
operation of software design changes. One of these tactics is to harness infrastructure-as …
operation of software design changes. One of these tactics is to harness infrastructure-as …
A big data-centric architecture metamodel for Industry 4.0
The effective implementation of Industry 4.0 requires the reformulation of industrial
processes in order to achieve the vertical and horizontal digitalization of the value chain. For …
processes in order to achieve the vertical and horizontal digitalization of the value chain. For …
Software engineering for big data projects: Domains, methodologies and gaps
VD Kumar, P Alencar - … Conference on Big Data (Big Data), 2016 - ieeexplore.ieee.org
Context: Big data has become the new buzzword in the information and communication
technology industry. Researchers and major corporations are looking into big data …
technology industry. Researchers and major corporations are looking into big data …
A tensorflow approach to data analysis for time series forecasting in the energy-efficiency realm
Thanks to advances in smart metering devices (SM), the electricity sector is undergoing a
series of changes, among which it is worth highlighting the ability to control the response to …
series of changes, among which it is worth highlighting the ability to control the response to …
TOSCAdata: Modeling data pipeline applications in TOSCA
The serverless platform allows a customer to effectively use cloud resources and pay for the
exact amount of used resources. A number of dedicated open source and commercial cloud …
exact amount of used resources. A number of dedicated open source and commercial cloud …
Tosca solves big problems in the cloud and beyond!
P Lipton, D Palma, M Rutkowski… - IEEE cloud …, 2018 - ieeexplore.ieee.org
TOSCA, the Topology and Orchestration Specification for Cloud Applications offers an
OASIS-recognized, open standard domain-specific language (DSL) that enables portability …
OASIS-recognized, open standard domain-specific language (DSL) that enables portability …
Specification of cloud topologies and orchestration using TOSCA: a survey
J Bellendorf, ZÁ Mann - Computing, 2020 - Springer
Abstract Topology and Orchestration Specification for Cloud Applications (TOSCA) is an
OASIS standard for specifying the topology of cloud applications, their deployment on …
OASIS standard for specifying the topology of cloud applications, their deployment on …
Model-driven continuous deployment for quality DevOps
DevOps entails a series of software engineering strategies and tools that promise to deliver
quality and speed at the same time with little or no additional expense. In our work we …
quality and speed at the same time with little or no additional expense. In our work we …
ACCORDANT: A domain specific-model and DevOps approach for big data analytics architectures
Big data analytics (BDA) applications use machine learning algorithms to extract valuable
insights from large, fast, and heterogeneous data sources. New software engineering …
insights from large, fast, and heterogeneous data sources. New software engineering …