17989344. METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR ALLOCATING WORKLOAD simplified abstract (Dell Products L.P.)

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METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR ALLOCATING WORKLOAD

Organization Name

Dell Products L.P.

Inventor(s)

Zijia Wang of WeiFang (CN)

Yufeng Wang of Shanghai (CN)

Chunxi Chen of Shanghai (CN)

Zhen Jia of Shanghai (CN)

METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR ALLOCATING WORKLOAD - A simplified explanation of the abstract

This abstract first appeared for US patent application 17989344 titled 'METHOD, ELECTRONIC DEVICE, AND COMPUTER PROGRAM PRODUCT FOR ALLOCATING WORKLOAD

Simplified Explanation

The present disclosure describes a method, an electronic device, and a computer program product for allocating a workload based on the state of devices running the workload.

  • Acquiring a state graph of devices running a workload at a specific time point.
  • Updating the state graph based on the active values of nodes compared to a threshold.
  • Determining the load state of devices at the specific time point.
  • Allocating a workload to devices based on the load state.

Potential Applications

This technology could be applied in cloud computing environments, data centers, and distributed systems where workload allocation and balancing are crucial.

Problems Solved

This technology solves the problem of efficiently allocating workloads to devices based on their current load state, ensuring optimal performance and resource utilization.

Benefits

The benefits of this technology include improved workload distribution, enhanced system performance, and better resource management in complex computing environments.

Potential Commercial Applications

Potential commercial applications of this technology include cloud service providers, data center operators, and companies with large-scale computing infrastructure.

Possible Prior Art

One possible prior art could be load balancing algorithms used in distributed systems to optimize resource allocation and performance.

What is the impact of this technology on energy efficiency in data centers?

This technology can help improve energy efficiency in data centers by ensuring that workloads are distributed evenly across devices, preventing overloading and unnecessary energy consumption.

How does this technology compare to traditional load balancing methods in terms of scalability?

This technology offers improved scalability compared to traditional load balancing methods by dynamically adjusting workload allocation based on real-time device states, leading to better performance and resource utilization.


Original Abstract Submitted

Embodiments of the present disclosure relate to a method, an electronic device, and a computer program product for allocating a workload. The method includes acquiring a first state graph of a plurality of devices that run a first workload at a first time point. The method further includes updating the first state graph based on a comparison between an active value of at least one node in the first state graph and a predetermined threshold. The method further includes determining a first load state of the plurality of devices at the first time point based on an updated first state graph. The method further includes allocating a second workload to the plurality of devices at a second time point based on the first load state, where active values of nodes in the updated first state graph are greater than the predetermined threshold.