Batch Management of Virtual Machines via Rule-Based State Evaluation
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Solution Overview
Problem
Existing virtualized computing systems lack a mechanism for efficiently managing batch operations across virtual machines (VMs) in varying states, requiring administrators to perform actions individually, which is cumbersome and resource-intensive.
Innovation Solution
Implementing a rule-based system that applies action rules to the current state attributes of selected VMs to determine the necessary operations for achieving a desired outcome, reducing the need for manual intervention and resource consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If batch operations are performed on virtualized entities in varying states, then operational efficiency is improved, but the complexity of determining appropriate operations increases
Solution Approach 1:
The system changes the parameter of operation determination from manual analysis to automated rule-based evaluation. By introducing a rule base that maps state attributes to operations, the complexity of determining appropriate operations is transformed into a systematic lookup process, enabling efficient batch operations across virtualized entities in varying states.
Solution Approach 2:
The rule base acts as an intermediary between the batch operation request and the actual operations to be executed. It mediates by translating high-level operational goals into specific, state-appropriate actions, thereby resolving the complexity of determining which operations to apply to each virtualized entity.
2Adaptability or versatility
If manual intervention is used to manage batch operations, then adaptability to varying states is maintained, but resource consumption increases
Solution Approach 1:
The system enables self-service operation where the rule base automatically determines and executes appropriate operations based on the state attributes of virtualized entities. This eliminates the need for continuous manual intervention while maintaining adaptability, as the rules automatically adjust operations according to the current state of each entity, thereby reducing resource consumption.
Solution Approach 2:
The system incorporates feedback mechanisms where the current state attributes of virtualized entities are continuously evaluated against the rule base. This feedback loop ensures that operations are adaptively selected based on actual system state while automating the decision-making process, reducing the resources required for manual management.
3Manufacturing precision
If individual actions are performed on each virtual machine, then precision of state changes is ensured, but time consumption increases
Solution Approach 1:
The system segments the batch operation process into two stages: (1) parallel evaluation of state attributes for all virtualized entities, and (2) parallel execution of determined operations. This segmentation enables precision to be maintained through individualized operation selection while reducing time consumption through parallel processing of multiple entities.
Solution Approach 2:
The system performs preliminary action by pre-establishing a comprehensive rule base that maps state attributes to appropriate operations before actual batch processing occurs. This preliminary preparation enables rapid, precise operation determination during execution, eliminating the need for real-time manual analysis and reducing overall time consumption.
Data Source
AI summary
Systems and methods for batching operations in a virtualization environment. A method embodiment operates over a plurality of virtual machines in the virtualization environment. A user interface is used to select two or more virtual machines that are to be subjected to the same batch actions. A method step then generates at least one batch request to be performed over the two or more selected virtual machines. In forming the batch request, the states of the individual virtual machines are analyzed to determine one or more entity-specific operations that apply to the virtual machines and/or to constituent entities of the virtual machines. Once the state-specific and entity-specific operations have been determined, an entity management protocol initiates execution of the one or more entity-specific operations over the individual ones of the two or more selected virtual machines.