Emc IP Holding Company LLC

Dell Products Inc.

Layne Lin Peng

Junping Zhao

Kun Wang

Yu Cao

Jie Bao

Yifan Sun

Accela Yilong Zhao

Robert Anthony Lincourt, Jr

Sanping Li

John T Cardente

Feng Guo

Grissom Tianqing Wang

Roby Qiyan Chen

Kay Kai Yan

Vivian Yun Zhang

Kenneth Durazzo

Fei Chen

Zhe Dong

Zhi Ying

Lynn Lin

Stephen J Todd

Jing Lan Chen

Pengfei Wu

John S Harwood

Wei Cui

Xiaoyan Guo

Yicang Wu

Guowu Xia

Jie Zeng

Peter Huang

Sharon Xia

A resource management method comprises: in response to receiving, from an application operating on a client, a resource allocation request indicating an amount of dedicated processing resources required by the application, acquiring a mapping between a group of physical dedicated processing resources provided by a group of servers and a group of logical dedicated processing resources, the group of physical dedicated processing resources being divided into the group of logical dedicated processing resources; determining allocation statuses of the group of logical dedicated processing resources; determining, based at least on the mapping and the allocation statuses, a first amount of logical dedicated processing resources to be allocated to the application from the group of logical dedicated processing resources; and indicating the first amount of logical dedicated processing resources to the application, to allow the application to utilize physical dedicated processing resources provided by at least one of the group of servers.

Method, device and computer program product for managing dedicated processing resources

In a multi-cloud computing environment comprising a plurality of cloud platforms, wherein one cloud platform is a source of a model and a data set and further wherein the model is to be executed against the data set on one or more of the other cloud platforms, the method maintains a decentralized architecture comprising a file system and a message bus, wherein the file system comprises a plurality of decentralized file system nodes corresponding to the plurality of cloud platforms, and the message bus comprises a plurality of decentralized message bus nodes corresponding to the plurality of cloud platforms. Further, the method manages sharing of the model and the data set via at least a portion of the decentralized file system nodes and manages messaging related to execution of the model against the data set via at least a portion of the decentralized message bus nodes.

Decentralized file system and message bus architecture for processing training sets in multi-cloud computing environment

Embodiments of the present disclosure provide a method, apparatus and computer program product for resource scheduling. The method comprises obtaining a processing requirement for a deep learning task, the processing requirement being specified by a user and at least including a requirement related to a completion time of the deep learning task. The method further comprises determining, based on the processing requirement, a resource required by the deep learning task such that processing of the deep learning task based on the resource satisfies the processing requirement. Through the embodiments of the present disclosure, the resources can be scheduled reasonably and flexibly to satisfy the user's processing requirement for a particular deep learning task without requiring the user to manually specify the requirement on the resources.

Method, apparatus and computer program product for resource scheduling

The present disclosure provides a power management apparatus, method and system. The apparatus comprises: a client management module for configuring power management client module(s) on one or more clients, the power management client module being for power management of the client; a data collector module for collecting, via the power management client module(s), data related to the power management of one or more user accounts on one or more clients; and a repository module for storing the collected data.

Apparatus, method and system for managing power of user accounts

Implementations of the present disclosure relate to a method, apparatus and computer program product for processing a computing task. The method comprises: obtaining status information of multiple computing resources; in response to receiving a neural network model-based computing task, determining configuration information of multiple layers associated with the neural network model; obtaining parameter data associated with at least one part of the multiple layers on the basis of the configuration information; and based on the status information and the parameter data, selecting from the multiple computing resources a group of computing resources for processing the computing task. According to the example implementations of the present disclosure, multiple computing resources may be utilized sufficiently, and it may be guaranteed that a load balance may be stricken between the multiple computing resources.

Method, apparatus, and computer program product for processing computing task

Embodiments of the present disclosure provide a method and device for data center management. For example, there is provided a method, comprising: obtaining information of hardware used in a data center, the information of the hardware including identification information describing an identifiable attribute of the hardware; identifying the hardware by matching the identification information with a resource profile, the resource profile recording identifiable attributes of a plurality of types of hardware; and updating a record associated with the hardware in a database of the data center using the obtained information. Corresponding device and computer program product are also provided.

Method and device for data center management

Embodiments of the present disclosure relate to a method and a device for managing a stateful application on a server. The method includes, in response to receiving a first request from a client for initializing the stateful application, allocating a storage resource to the stateful application. The method further includes, in response to receiving a second request from the client for processing data, storing the data in the storage resource. The method also includes enabling the stateful application to process the stored data.

Method and device for managing stateful application on server

A method of scheduling a dedicated processing resource includes: obtaining source code of an application to be compiled; extracting, during compiling of the source code, metadata associated with the application, the metadata indicating an amount of the dedicated processing resource required by the application; and obtaining, based on the metadata, the dedicated processing resource allocated to the application. In this manner, performance of the dedicated processing resource scheduling system and resource utilization is improved.

Method, device and computer readable medium for scheduling dedicated processing resource

Embodiments of the present disclosure relate to a method, apparatus and computer program product for scheduling dedicated processing resources. The method comprises: in response to receiving a scheduling request for a plurality of dedicated processing resources, obtaining a topology of the plurality of dedicated processing resources, the topology being determined based on connection attributes related to connections among the plurality of dedicated processing resources; and determining, based on the topology, a target dedicated processing resource satisfying the scheduling request from the plurality of dedicated processing resources. In this manner, the performance and the resource utilization rate of scheduling the dedicated processing resources are improved.

Method, apparatus and computer program product for scheduling dedicated processing resources

Systems and methods are provided to implement intelligent data coordination for accelerated computing in a distributed computing environment. For example, a method includes executing a task on a computing node, monitoring requests issued by the executing task, intercepting requests issued by the executing task which correspond to data flow operations to be performed as part of the task execution, and asynchronously executing the intercepted requests at scheduled times to coordinate data flow between resources on the computing node.

Intelligent data coordination for accelerated computing in cloud environment

Embodiments of the present disclosure relate to a method and apparatus of allocating a processing resource to an application. The method comprises receiving from the application a request for executing a task. The method further comprises determining a characteristic of the application based on the request. The method may determine stored historical data associated with the application. In addition, the method may further automatically select, based on the characteristic of the application and the historical data, the processing resource applicable to the application for allocation to the application.

Method, apparatus and computer program product for allocating processing resource to application

Embodiments of the present invention provide a method and apparatus for performing cross-layer orchestration of resources in a data center having a multi-layer architecture. The method comprises: performing unified control of all resources in all layers of the data center; performing unified storage of all topologies and machine-generated data of all layers of the data center; and orchestrating the resources of the data center based on the unified control and the unified storage. Embodiments of the present invention provide a higher level orchestration than methods in the prior art, and employ some functions provided by methods in the prior art to provide a unified manner when the demand changes for orchestrating a layered cloud data center, in order to immediately provide a suitable capability.

Performing cross-layer orchestration of resources in data center having multi-layer architecture

Embodiments of the present disclosure provide a method and apparatus for providing data storage service. The method comprises: receiving a storage service template from an user, the storage service template specifying a storage service policy for the user and a service instance to launch; and providing a storage service according to the storage service template; wherein the storage service policy defines a storage function to be performed for data of the user. With the method and apparatus according to embodiments of the present disclosure, a unified solution for overall orchestration of storage functions can be provided to enable the user to customize the required storage function flexibly.

Method and apparatus for data storage service

Embodiments of the present disclosure provide methods and apparatuses for data migration of storage devices including registering at least one executing unit for data migration, each of the at least one executing unit corresponding to description file; extracting and storing information contained in the description file corresponding to each of the at least one executing unit; receiving a data migration request from a user; in response to the data migration request from the user, selecting an executing unit for data migration of the user at least based on part of the stored information contained in the description file; and scheduling an instance of the selected executing unit to execute data migration of the user. The methods or apparatuses according to embodiments of the present disclosure can implement, in a uniform and scalable manner, data migration for various formats, various performance requirements, and application scenarios.

Methods and apparatuses for data migration of a storage device

Embodiments of the present disclosure relate to a method and a device of resource orchestration resources using an object-oriented language, and a program. Specifically the present disclosure discloses a method of resource orchestration using an object-oriented language comprising: creating a correspondence relationship from concepts in the object-oriented language to a requirement of resource orchestration; creating a workflow for implementing the resource orchestration and based upon the correspondence relationship; and implementing the resource orchestration based upon the correspondence relationship and the workflow. The present disclosure also discloses a device of resource orchestration using an object-oriented language, and a computer program product for performing steps of a method of resource orchestration using an object-oriented language.

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Shanghai, China

Layne Lin Peng