Speaker
Description
Bioimage analysis research workflows often require the use of various software tools and demand significant computational power and high interactivity. These workflows can result in inconsistent results due to dependencies on particular software and operating systems, an issue that becomes especially evident as computationally intensive methods like deep learning become more common.
To tackle the challenge, we have developed BARD, a Kubernetes-based virtual bioimage analysis research desktop service, leveraging the abcdesktop.io project (https://www.abcdesktop.io/). It enables bioimage analysts to quickly access a personal cloud-based desktop capable of handling complex computations and image processing tasks, eliminating the local hardware limitations.Each software in the BARD desktop is containerised along with its specific versions and required dependencies. This ensures a consistent environment across different computing platforms, enabling researchers to reproduce identical experimental results from any computer, anywhere. By leveraging Kubernetes, BARD offers a resource-efficient alternative to virtual machines, reducing the consumption of computational resources such as CPU and memory usage,as well as streamlining software deployment.
| Authors | Yi Sun, Christian Tischer, Jean-Karim Heriche |
|---|---|
| Keywords | cloud-native, virtual desktops, kubernetes, bioimage analysis, containers |
