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Model-driven management of docker containers
With the emergence of Docker, it becomes easier to encapsulate applications and their
dependencies into lightweight Linux containers and make them available to the world by …
dependencies into lightweight Linux containers and make them available to the world by …
A precise model for google cloud platform
Today, Google Cloud Platform (GCP) is one of the leaders among cloud APIs. Although it
was established only five years ago, GCP has gained notable expansion due to its suite of …
was established only five years ago, GCP has gained notable expansion due to its suite of …
Are REST APIs for cloud computing well-designed? An exploratory study
Cloud computing is currently the most popular model to offer and access computational
resources and services. Many cloud providers use the REST architectural style …
resources and services. Many cloud providers use the REST architectural style …
An efficient pattern-based approach for workflow supporting large-scale science: The DagOnStar experience
Workflow engines are commonly used to orchestrate large-scale scientific computations
such as, but not limited to weather, climate, natural disasters, food safety, and territorial …
such as, but not limited to weather, climate, natural disasters, food safety, and territorial …
MDAPW3: MDA-based development of blockchain-enabled decentralized applications
Abstract Web3. 0 Decentralized Application (DApp) is a class of decentralized software in
which at least the business logic of the software is implemented using blockchain-based …
which at least the business logic of the software is implemented using blockchain-based …
DagOn*: Executing direct acyclic graphs as parallel jobs on anything
The democratization of computational resources, thanks to the advent of public, private, and
hybrid clouds, changed the rules in many science fields. For decades, one of the effort of …
hybrid clouds, changed the rules in many science fields. For decades, one of the effort of …
[PDF][PDF] Develo** pragmatic data pipelines using apache airflow on Google Cloud Platform
Data Pipeline [1][2] is a series of actions which moves data from the one source to the
destination, the complexity of Data Pipeline varies from use-case to use-case. The traditional …
destination, the complexity of Data Pipeline varies from use-case to use-case. The traditional …
Model-driven cloud resource management with OCCIware
Cloud computing has emerged as the main paradigm for hosting and delivering computing
resources as services over Internet. It provides a delivery model for computing resources at …
resources as services over Internet. It provides a delivery model for computing resources at …
A model-driven approach to reengineering processes in cloud computing
Context The reengineering process of large data-intensive legacy software applications
(“legacy applications” for brevity) to cloud platforms involves different interrelated activities …
(“legacy applications” for brevity) to cloud platforms involves different interrelated activities …
[HTML][HTML] Dynamic OverCloud: realizing microservices-based IoT-cloud service composition over multiple clouds
J Han, S Park, JW Kim - Electronics, 2020 - mdpi.com
With the expansion of cloud-leveraged Information and Communications Technology (ICT)
convergence trend, cloud-native computing is starting to be the de-facto paradigm together …
convergence trend, cloud-native computing is starting to be the de-facto paradigm together …