Schedule-Based Endpoint Workload Orchestration for State Alignment
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Solution Overview
Problem
Existing systems struggle to manage the states of endpoint devices effectively, leading to discrepancies between actual and desired states, which can impact the performance of computer-implemented services and result in inefficiencies or vulnerabilities.
Innovation Solution
A state management model is implemented to track desired, configured, and actual states, with actions scheduled based on various metrics to align the actual state with the desired state, considering prerequisites, disruptiveness, resource consumption, and maintenance windows.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If actions are taken to align actual state with desired state, then reliability is improved, but disruption to services increases
Solution Approach 1:
The system performs preliminary actions by scheduling state alignment operations during maintenance windows or low-activity periods. Actions are planned in advance and executed at optimal times to minimize disruption to ongoing services, thereby achieving state alignment while reducing harmful effects on service continuity.
Solution Approach 2:
The system dynamically adjusts the timing and execution of state alignment actions based on real-time service activity levels and disruption thresholds. By making the alignment process adaptive and flexible rather than rigid, the system can optimize between reliability improvement and service disruption minimization based on current operational conditions.
2Manufacturing precision
If frequent state alignment actions are performed, then state conformity is improved, but resource consumption increases
Solution Approach 1:
Instead of continuous state alignment operations, the system implements periodic actions by scheduling alignment tasks at predetermined intervals or when specific conditions are met. This periodic approach maintains state conformity while significantly reducing resource consumption compared to continuous monitoring and adjustment.
Solution Approach 2:
The system employs self-service mechanisms where endpoint devices autonomously manage their own state alignment based on configured policies and thresholds. This reduces the need for constant external intervention and resource-intensive centralized control, thereby maintaining state conformity with lower overall resource consumption.
3Productivity
If state alignment actions are executed immediately, then productivity is improved, but disruption to ongoing operations increases
Solution Approach 1:
The system schedules state alignment actions as preliminary tasks to be executed at optimal times rather than immediately. By planning and preparing alignment actions in advance during appropriate windows, the system achieves timely state conformity without disrupting ongoing operational productivity.
Solution Approach 2:
The system continuously monitors operational conditions and uses feedback to determine the optimal timing for state alignment actions. This feedback mechanism allows the system to balance alignment speed with operational disruption by executing actions when conditions indicate minimal impact on productivity.
Data Source
AI summary
Methods and systems for manage operation of endpoint devices are disclosed. To manage the operation of endpoint devices, management systems may monitor and update the state of the endpoint devices. When differences between the actual and configured states of an endpoint device are identified, actions to confirm the actual state to the configured state may be identified. The identified actions may be scheduled for performance based on attributes to limit impacts on computer implemented services provided by the endpoint devices.