18049548. CHUNK AWARE IMAGE LOCALITY SCORES FOR CONTAINER IMAGES IN MULTI-NODE CLUSTERS simplified abstract (Red Hat, Inc.)
Contents
CHUNK AWARE IMAGE LOCALITY SCORES FOR CONTAINER IMAGES IN MULTI-NODE CLUSTERS
Organization Name
Inventor(s)
Giuseppe Scrivano of Milan (IT)
Mrunal Patel of Sunnyvale CA (US)
CHUNK AWARE IMAGE LOCALITY SCORES FOR CONTAINER IMAGES IN MULTI-NODE CLUSTERS - A simplified explanation of the abstract
This abstract first appeared for US patent application 18049548 titled 'CHUNK AWARE IMAGE LOCALITY SCORES FOR CONTAINER IMAGES IN MULTI-NODE CLUSTERS
The present disclosure introduces methods, systems, and techniques for managing replication in a deployable object, such as a pod (e.g., a group of one or more containers). When a pod is initiated in a cluster, the deployable object may start one or more virtual computer systems (e.g., containers) that pull container images from a registry server. The processing device identifies which container image should be pulled first, and a scheduler prioritizes the subsequent replication of archived data of the virtual computer systems based on computed scores. The processing device then executes the replication of the archived data based on the scheduler's prioritization.
- Methods for managing replication in a deployable object like a pod
- Starting virtual computer systems in a pod to pull container images from a registry server
- Identifying which container image to pull first on a file level
- Prioritizing replication of archived data based on computed scores
- Executing replication of archived data based on scheduler's prioritization
Potential Applications: - Cloud computing - Containerization technology - Data replication in distributed systems
Problems Solved: - Efficient management of replication in deployable objects - Prioritization of data replication in virtual computer systems
Benefits: - Improved performance in data replication - Enhanced resource utilization in clusters
Commercial Applications: Title: "Optimizing Data Replication in Deployable Objects for Enhanced Performance" This technology can be utilized in cloud computing services, containerization platforms, and data centers to streamline data replication processes and improve overall system efficiency.
Prior Art: Researchers can explore prior studies on data replication strategies in distributed systems and container orchestration tools to understand the evolution of this technology.
Frequently Updated Research: Stay updated on the latest advancements in containerization technology and cloud computing to leverage cutting-edge solutions for data replication in deployable objects.
Questions about Data Replication in Deployable Objects: 1. How does this technology impact the scalability of containerized applications? 2. What are the key considerations for optimizing data replication in virtual computer systems within a pod?
Original Abstract Submitted
The present disclosure provides methods, systems, and techniques for managing replication in a deployable object, such as a pod (e.g., a group of one or more containers). For example, when a pod is started in a cluster, the deployable object may start one or more virtual computer systems (e.g., containers), which may pull (e.g., initiate and run) container images from a registry server. The processing device may thus identify, such as on the file level, which container image should be pulled first. A scheduler of the one or more virtual computer systems may prioritize, based on the computed scores, a subsequent replication of archived data of the one or more virtual computer systems to be performed. The processing device may then execute, based on the prioritization by the scheduler, the subsequent replication of the archived data of the one or more virtual computer systems in the deployable object.
