View source for 18523798. RESOURCE ALLOCATION METHOD, STORAGE DEVICE, AND STORAGE SYSTEM simplified abstract (Huawei Technologies Co., Ltd.)

=RESOURCE ALLOCATION METHOD, STORAGE DEVICE, AND STORAGE SYSTEM=


==Organization Name==

[[:Category:Huawei Technologies Co., Ltd.|Huawei Technologies Co., Ltd.]]


[[Category:Huawei Technologies Co., Ltd.]]

==Inventor(s)==

[[:Category:Hao Dong of Chengdu (CN)|Hao Dong of Chengdu (CN)]][[Category:Hao Dong of Chengdu (CN)]]

[[:Category:Qinghang Xiao of Chengdu (CN)|Qinghang Xiao of Chengdu (CN)]][[Category:Qinghang Xiao of Chengdu (CN)]]

[[:Category:Chen Zhou of Chengdu (CN)|Chen Zhou of Chengdu (CN)]][[Category:Chen Zhou of Chengdu (CN)]]

==RESOURCE ALLOCATION METHOD, STORAGE DEVICE, AND STORAGE SYSTEM - A simplified explanation of the abstract==


This abstract first appeared for US patent application 18523798 titled 'RESOURCE ALLOCATION METHOD, STORAGE DEVICE, AND STORAGE SYSTEM

==Simplified Explanation==

The patent application describes a resource allocation method and a storage device with multiple controllers and processors for computing resources and storage space allocation.

* The storage device includes a disk enclosure and multiple controllers.
* Each controller has multiple processors, each with multiple processor cores.
* The controllers are separately connected to the disk enclosure with multiple hard disks.
* The processors provide computing resources, while the hard disks provide storage space.
* Logical addresses are classified into address segment sets, each with one or more address segments.
* Computing resources are allocated to each address segment set to execute data access requests.
* Different processors or processor cores are used to process different address segment sets.

== Potential Applications ==
This technology can be applied in data centers, cloud computing environments, and high-performance computing systems.

== Problems Solved ==
Efficient resource allocation and storage management in complex computing systems.

== Benefits ==
Optimized performance, improved data access speed, and better utilization of computing resources.

== Potential Commercial Applications ==
Data storage solutions, cloud computing services, and high-performance computing systems.

== Possible Prior Art ==
Prior art may include similar resource allocation methods in distributed computing systems or storage devices.

== Unanswered Questions ==

=== How does this technology impact energy efficiency in data centers? ===
This article does not address the specific energy efficiency benefits of the described resource allocation method.

=== What are the potential security implications of this technology? ===
The article does not discuss the security aspects of resource allocation and storage management in the described storage device.


==Original Abstract Submitted==

A resource allocation method and a storage device are provided. The storage device includes a disk enclosure and a plurality of controllers. Each controller includes a plurality of processors, each processor includes a plurality of processor cores, the plurality of controllers are separately coupled to the disk enclosure including a plurality of hard disks. The plurality of processors are configured to provide computing resources. The plurality of hard disks are configured to provide storage space. Logical addresses corresponding to the storage space are classified into several address segment sets, each address segment set includes one or more address segments, some of the computing resources are allocated to each address segment set, and are used to execute a data access request for accessing an address segment comprised in the address segment set. Computing resources used to process different address segment sets are from different processors or from different processor cores.



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