Apple inc. (20240196324). LOW-POWER DISTRIBUTED COMPUTING simplified abstract
Contents
LOW-POWER DISTRIBUTED COMPUTING
Organization Name
Inventor(s)
Panagiotis Botsinis of Munich (DE)
Amr Abdelrahman Yousef Abdelrahma Mostafa of Munich (DE)
Christian Hofmann of Munich (DE)
Said Medjkouh of San Diego CA (US)
Sameh M. Eldessoki of Munich (DE)
Tarik Tabet of Carlsbad CA (US)
LOW-POWER DISTRIBUTED COMPUTING - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240196324 titled 'LOW-POWER DISTRIBUTED COMPUTING
Simplified Explanation:
The patent application describes a processor that offloads tasks to a network node, enters a power-saving mode, and wakes up at a predetermined time to check for responses from the network node.
- The processor determines when to offload a task to a network node.
- It sends an offload request to the network node with the size of the expected response and a latest receipt time.
- The processor calculates a wakeup time earlier than the latest receipt time.
- It enters a power-saving mode until the wakeup time.
- The processor exits the power-saving mode at the wakeup time.
- It monitors a communication channel for the expected response until the latest receipt time.
Key Features and Innovation:
- Task offloading to a network node.
- Power-saving mode implementation.
- Scheduled wakeup time for checking responses.
- Efficient utilization of resources.
Potential Applications:
This technology can be applied in:
- Mobile devices.
- Internet of Things (IoT) devices.
- Cloud computing environments.
Problems Solved:
- Efficient task management.
- Energy conservation in devices.
- Timely response handling.
Benefits:
- Improved performance.
- Energy efficiency.
- Enhanced user experience.
Commercial Applications:
Title: "Efficient Task Offloading and Power Management Technology for Mobile Devices" This technology can be utilized in:
- Smartphone applications.
- IoT device management systems.
- Cloud computing services.
Prior Art:
Prior research may include studies on:
- Task offloading strategies.
- Power-saving modes in devices.
- Network communication protocols.
Frequently Updated Research:
Stay updated on:
- Power management techniques in mobile devices.
- Task offloading optimization strategies.
Questions about Task Offloading and Power Management Technology:
1. How does task offloading benefit device performance? 2. What are the implications of power-saving modes on user experience?
Original Abstract Submitted
a processor has circuitry that executes instructions to cause a user equipment (ue) to perform operations. the operations include determining to offload a task to a network node. the operations include transmitting an offload request to the network node, wherein the offload request comprises a size of an expected response and a latest receipt time. the operations include determining a wakeup time that is earlier than the latest receipt time. the operations include entering a power-saving mode until the wakeup time. the operations include exiting the power-saving mode at the wakeup time. the operations include monitoring a communication channel for the expected response from the network node until the latest receipt time. also disclosed are a ue and a method.
