US Patent Application 17726973. WORKLOAD ANOMALY DETECTION FOR STANDALONE HOSTS BASED ON BARE-METAL RECOVERY AND SYSTEM-STATE RECOVERY DATA AND METADATA simplified abstract
WORKLOAD ANOMALY DETECTION FOR STANDALONE HOSTS BASED ON BARE-METAL RECOVERY AND SYSTEM-STATE RECOVERY DATA AND METADATA
Organization Name
Inventor(s)
Shelesh Chopra of Bangalore (IN)
WORKLOAD ANOMALY DETECTION FOR STANDALONE HOSTS BASED ON BARE-METAL RECOVERY AND SYSTEM-STATE RECOVERY DATA AND METADATA - A simplified explanation of the abstract
- This abstract for appeared for US patent application number 17726973 Titled 'WORKLOAD ANOMALY DETECTION FOR STANDALONE HOSTS BASED ON BARE-METAL RECOVERY AND SYSTEM-STATE RECOVERY DATA AND METADATA'
Simplified Explanation
This abstract describes a method and system for detecting abnormal behavior or functionality in workloads running on standalone hosts. Workloads may behave unpredictably when exposed to external factors, and administrators often overlook these factors and their impact on workload behavior. By using data and metadata from bare-metal recovery and system-state recovery operations, this system can identify anomalies in workload behavior on any host.
Original Abstract Submitted
A method and system for workload anomaly detection for standalone hosts based on bare-metal recovery and/or state-system recovery data and metadata. In isolated circumstances, workloads tend to operate as expected, however, their behavior and/or functionality may become unpredictable when said workloads are exposed to other factors outside of isolation. Further, most of these other factors, as well as their influence on workload behavior and/or functionality tend to go unnoticed by administrators. Data and/or metadata, pertinent to bare-metal recovery and/or system-state recovery operations, may capture host-relevant information, including which workload(s) is/are installed on a host, which file-system objects maintained thereon belong to which installed workload, and what is the nature and storage location of each file-system object. In leveraging said bare-metal recovery and/or system-state recovery data and/or metadata, embodiments disclosed herein detect behavioral or functional anomalies exhibited by any workload operating on any given host.
