Avaya has patented a method to manage containerized workloads using Kubernetes. The method involves converting a worker node into a master node to maintain system functionality in the event of a master node failure, ensuring uninterrupted services. GlobalData’s report on Avaya gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Avaya, Intelligent contact centers was a key innovation area identified from patents. Avaya's grant share as of February 2024 was 72%. Grant share is based on the ratio of number of grants to total number of patents.
Converting worker node to master node in kubernetes cluster
A recently granted patent (Publication Number: US11909818B2) outlines a method and system for managing a network system's components in the event of a loss of functionality of a master node. The method involves determining the loss of functionality of a first master node within a network system connecting master nodes and worker nodes executing applications in different clusters. Upon detecting the loss, the system converts one of the worker nodes into a new master node by copying state information to ensure continuity of operations.
The patent further details a system architecture comprising master nodes, worker nodes, and clusters, where the loss of functionality of a master node triggers the conversion of a worker node into a new master node. The system ensures high availability by maintaining the execution of applications seamlessly even after the conversion, with the new master node and another master node forming a quorum. The system's design allows for the exchange of data between clusters located in distinct geographical locations, ensuring uninterrupted service provision even in the face of master node failures. Additionally, a non-transitory computer-readable medium is described, containing instructions for managing worker nodes in the event of a master node's loss of functionality, emphasizing the importance of maintaining system operations in a high availability mode.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
