International business machines corporation (20240111546). HIBERNATION OF COMPUTING DEVICE WITH FAULTY BATTERIES simplified abstract

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HIBERNATION OF COMPUTING DEVICE WITH FAULTY BATTERIES

Organization Name

international business machines corporation

Inventor(s)

Madhu Pavan Kothapally of Warangal (IN)

Rajesh Kumar Pirati of Guntur (IN)

Bharath Sakthivel of Theni (IN)

Sarika Sinha of Bangalore (IN)

HIBERNATION OF COMPUTING DEVICE WITH FAULTY BATTERIES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240111546 titled 'HIBERNATION OF COMPUTING DEVICE WITH FAULTY BATTERIES

Simplified Explanation

Tasks are selected for hibernation based on user preferences and battery power thresholds. The penalty score for tasks is determined by user preferences and task performance metrics. Tasks can then be put into hibernation or sleep mode based on their penalty score during specific battery power thresholds.

  • User preferences and battery power thresholds dictate task hibernation/sleep
  • Penalty score determined by user preferences and task performance metrics
  • Tasks can be put into hibernation or sleep mode based on penalty score during battery power thresholds

Potential Applications

This technology could be applied in mobile devices, laptops, and other battery-powered devices to optimize task management and battery usage.

Problems Solved

This technology solves the problem of inefficient task management and battery drainage in mobile devices and laptops.

Benefits

The benefits of this technology include improved battery life, optimized task performance, and enhanced user experience on battery-powered devices.

Potential Commercial Applications

Potential commercial applications of this technology include mobile device manufacturers, laptop manufacturers, and software developers looking to improve battery efficiency in their products.

Possible Prior Art

One possible prior art for this technology could be existing task management systems in operating systems that optimize task performance based on system resources and user preferences.

Unanswered Questions

How does this technology impact overall device performance?

This article does not delve into the potential impact of task hibernation and sleep modes on the overall performance of the device. It would be interesting to explore whether there are any trade-offs in performance for the sake of battery optimization.

What are the potential security implications of task hibernation and sleep modes?

The article does not address any security concerns that may arise from putting tasks into hibernation or sleep modes. It would be important to investigate whether there are any vulnerabilities introduced by this technology.


Original Abstract Submitted

tasks are selected for hibernation by recording user preferences for tasks having no penalty for hibernation and sleep; and assigning thresholds for battery power at which tasks are selected for a least one of hibernation and sleep. the assigning of the thresholds for battery power include considering current usage of hardware resources by a user and battery health per battery segment. a penalty score is determined for tasks based upon the user preferences for tasks having no penalty, and task performance including at least one of frequency of utilization, memory utilization, task dependency characteristics and task memory hierarchy. the penalty performance is a value including both the user preference and the task performance. tasks can then be put into at least one of hibernation mode and sleep mode dictated by their penalty performance during the thresholds for battery power.