A novel data placement strategy for data-sharing scientific workflows in heterogeneous edge-cloud computing environments
The deployment of datasets in the heterogeneous edge-cloud computing paradigm has
received increasing attention in state-of-the-art research. However, due to their large sizes …
received increasing attention in state-of-the-art research. However, due to their large sizes …
Scientific workflows in IoT environments: a data placement strategy based on heterogeneous edge-cloud computing
In Industry 4.0 and Internet of Things (IoT) environments, the heterogeneous edge-cloud
computing paradigm can provide a more proper solution to deploy scientific workflows …
computing paradigm can provide a more proper solution to deploy scientific workflows …
A novel workflow-level data placement strategy for data-sharing scientific cloud workflows
X Li, L Zhang, Y Wu, X Liu, E Zhu, H Yi… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Cloud computing can provide a more cost-effective way to deploy scientific workflows than
traditional distributed computing environments such as cluster and grid. Due to the large …
traditional distributed computing environments such as cluster and grid. Due to the large …
Effective data placement for scientific workflows in mobile edge computing using genetic particle swarm optimization
Mobile edge computing (MEC) necessitates cost‐effective deployment for executing
scientific workflows with different tasks and datasets, which provides computing, storage and …
scientific workflows with different tasks and datasets, which provides computing, storage and …
Optimizing semantic annotations for web service invocation
Semantic annotations play an important role in semantics-aware service discovery,
recommendation and composition. While existing approaches and tools focus on facilitating …
recommendation and composition. While existing approaches and tools focus on facilitating …
Scientific workflows in heterogeneous edge-cloud computing: A data placement strategy based on reinforcement learning
X Du - arXiv preprint arXiv:2205.07131, 2022 - arxiv.org
The heterogeneous edge-cloud computing paradigm can provide an optimal solution to
deploy scientific workflows compared to cloud computing or other traditional distributed …
deploy scientific workflows compared to cloud computing or other traditional distributed …
Optimal data placement for data-sharing scientific workflows in heterogeneous edge-cloud computing environments
The heterogeneous edge-cloud computing paradigm can provide a more optimal direction
to deploy scientific workflows than traditional distributed computing or cloud computing …
to deploy scientific workflows than traditional distributed computing or cloud computing …
Typetheoretic Approach to Big Data Workflow Composition
A Kashliev - 2024 IEEE 4th International Conference on …, 2024 - ieeexplore.ieee.org
Big data workflows have emerged as an important paradigm for analyzing increasingly large
datasets generated in different areas of human activity, including healthcare, climate …
datasets generated in different areas of human activity, including healthcare, climate …
A Performance Model for the Web Service Protocol Stacks
B Simon, B Goldschmidt… - IEEE Transactions on …, 2014 - ieeexplore.ieee.org
Web services are built on XML. They use XML for describing the service interface, they use
XML for message exchange and the WS-* protocols that provide addressing, security and …
XML for message exchange and the WS-* protocols that provide addressing, security and …
Deep Learning as Native Scientific Workflows in the Modern SWFMs-DATAVIEW
J Liu - 2022 - search.proquest.com
Scientific workflow has become a common practice for scientists to effectively formalize and
structure complex scientific processes, which in turn has accelerated scientific discoveries in …
structure complex scientific processes, which in turn has accelerated scientific discoveries in …