Search Results
Katib: A Distributed General AutoML Platform on Kubernetes
Automatic Machine Learning (AutoML) is a powerful mechanism to design and tune models.
The Sky Above The Clouds
Technology ecosystems often undergo significant transformations as they mature.
Distributed, Parallel, and Cluster Computing
Frisbee: automated testing of Cloud-native applications in Kubernetes
As more and more companies are migrating (or planning to migrate) from on-premise to Cloud, their focus is to find anomalies and deficits as early as possible in the development life cycle.
Distributed, Parallel, and Cluster Computing
Koney: A Cyber Deception Orchestration Framework for Kubernetes
System operators responsible for protecting software applications remain hesitant to implement cyber deception technology, including methods that place traps to catch attackers, despite its proven benefits.
Cryptography and Security
IBM Deep Learning Service
Deep learning driven by large neural network models is overtaking traditional machine learning methods for understanding unstructured and perceptual data domains such as speech, text, and vision.
Distributed, Parallel, and Cluster Computing
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources
Although more layers and more parameters generally improve the accuracy of the models, such big models generally have high computational complexity and require big memory, which exceed the capacity of small devices for inference and incurs long training time.
RobotKube: Orchestrating Large-Scale Cooperative Multi-Robot Systems with Kubernetes and ROS
Modern cyber-physical systems (CPS) such as Cooperative Intelligent Transport Systems (C-ITS) are increasingly defined by the software which operates these systems.
Robotics Distributed, Parallel, and Cluster Computing Software Engineering
KubeAdaptor: A Docking Framework for Workflow Containerization on Kubernetes
As Kubernetes becomes the infrastructure of the cloud-native era, the integration of workflow systems with Kubernetes is gaining more and more popularity.
Distributed, Parallel, and Cluster Computing
Adaptive Resource Allocation for Workflow Containerization on Kubernetes
By integrating the ARAS into KubeAdaptor for workflow containerized execution, we demonstrate the practical abilities of KubeAdaptor and the advantages of our ARAS.
Distributed, Parallel, and Cluster Computing
The Flux Operator
This paper introduces the Flux Operator -- an on-demand HPC workload manager that is easily deployed in Kubernetes.
Distributed, Parallel, and Cluster Computing
