Rising Cloud, LLC (20240272957). CLOUD MANAGEMENT SYSTEM AND METHOD THEREFOR simplified abstract
CLOUD MANAGEMENT SYSTEM AND METHOD THEREFOR
Organization Name
Inventor(s)
Derek Tolbert of Phoenix AZ (US)
Anthony Moran of Phoenix AZ (US)
CLOUD MANAGEMENT SYSTEM AND METHOD THEREFOR - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240272957 titled 'CLOUD MANAGEMENT SYSTEM AND METHOD THEREFOR
The abstract describes a cloud computing system with an external API for user access, application supervisors for monitoring specific applications, and a database for storing worker status and job details. A state machine receives data from the database and determines server and worker actions.
- Cloud computing system with external API for user access
- Application supervisors monitor specific applications
- Database stores worker status and job details
- State machine receives data from the database to determine server and worker actions
Potential Applications: - Cloud computing services - Job scheduling and monitoring systems - Telemetry data management
Problems Solved: - Efficient deployment of cloud workers - Real-time monitoring of job status - Automated server and worker management
Benefits: - Improved job performance - Enhanced scalability - Streamlined resource allocation
Commercial Applications: Title: "Cloud Worker Management System for Enhanced Performance" This technology can be used in various industries such as e-commerce, healthcare, and finance for optimizing cloud resources and improving job efficiency.
Prior Art: Prior art related to this technology may include research on cloud computing systems, job scheduling algorithms, and server management tools.
Frequently Updated Research: Research on cloud computing optimization, job scheduling algorithms, and server management techniques may provide insights into the continuous development of this technology.
Questions about Cloud Worker Management System: 1. How does the state machine in the system determine server and worker actions? The state machine receives data from the database, analyzes worker status, job details, and telemetry data to make decisions on server and worker management.
2. What are the potential benefits of using application supervisors in a cloud computing system? Application supervisors help monitor specific applications, ensuring efficient deployment of cloud workers and optimized job performance.
Original Abstract Submitted
a cloud computing system has an external application program interface (api) allowing a user to access the cloud computing system and sending a job to at least one application. at least one application supervisor is provided, wherein each application supervisor monitors a specific application and deploys at least one cloud worker to the job. a database stores status information of the at least one cloud worker, job details and other telemetry data. an internal api is coupled to the database. a state machine receives the status information of the at least one cloud worker, job details and other telemetry data via the internal api. the state machine determines when servers need to be deleted, servers need to be created, when the at least one cloud worker needs to be deleted or additional cloud workers created.
