International business machines corporation (20240231906). Distributed Computing Topology with Energy Savings simplified abstract

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Distributed Computing Topology with Energy Savings

Organization Name

international business machines corporation

Inventor(s)

Peng Hui Jiang of Beijing (CN)

Fan Jing Meng of Beijing (CN)

Jun Su of Beijing (CN)

Cheng Fang Wang of Beijing (CN)

Distributed Computing Topology with Energy Savings - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240231906 titled 'Distributed Computing Topology with Energy Savings

Simplified Explanation:

The patent application describes a method for managing a network computing system's topology, where tasks are assigned to computing devices based on an execution order. The topology includes nodes representing tasks connected to each other, with alternative paths for task execution based on energy consumption.

  • Tasks are assigned to computing devices based on an execution order.
  • Nodes in the network represent tasks, connected based on the execution order.
  • Alternative paths are available for task execution, with energy consumption considered.
  • The method selects a path for task execution based on energy consumption.

Key Features and Innovation:

  • Management of network computing system's topology.
  • Task assignment based on an execution order.
  • Alternative paths for task execution.
  • Energy consumption consideration for path selection.

Potential Applications:

This technology can be applied in various fields such as cloud computing, distributed systems, and parallel computing.

Problems Solved:

This technology addresses the efficient management of task execution in a network computing system to optimize energy consumption.

Benefits:

  • Improved energy efficiency in task execution.
  • Enhanced performance in network computing systems.
  • Optimal utilization of computing resources.

Commercial Applications:

Potential commercial applications include cloud service providers, data centers, and IoT networks looking to optimize energy consumption and task execution efficiency.

Questions about the Technology:

1. How does the method determine the energy consumption for alternative paths in the network computing system's topology? 2. What are the implications of selecting a particular path for task execution based on energy consumption in terms of performance and resource utilization?


Original Abstract Submitted

a computer implemented method manages a topology for a network computing system. a number of processor units determines tasks for a workload to be performed by computing devices in the network computing system. the number of processor units creates the topology for performing the tasks in the workload. the topology comprises nodes representing the tasks assigned to the computing devices. the nodes are connected to each other based on an execution order for the tasks, and the topology has alternative paths for performing the tasks for the workload. the number of processor units determines energy consumption for the alternative paths in the topology. the number of processor units selects a particular path from the alternative paths for performing the tasks for the workload based on the energy consumption for the alternative paths.