Emc IP Holding Company LLC

Baidu Online Network Technology (beijing) Co., Ltd.

Emc Corporation

Xiaoyan Guo

Yu Cao

Kenneth Durazzo

Simon Tao

Sanping Li

Zhe Dong

Jun Tao

Junping Zhao

Stephen J Todd

Ricky Yuxi Sun

Accela Yilong Zhao

Tao Chen

Qianjie Zhong

Baoyao Zhou

John T Cardente

Layne Lin Peng

Jidong Chen

Chunsheng Fang

Hang Zhang

Hui Liu

Vivian Wenwen Gao

Jieming Di

Kelei Li

Cuijuan Xiao

Yuanyuan Zheng

A first set of values for a set of metrics is obtained. A given metric of the set of metrics monitors a given component of a set of components of a computing system. The first set of values is obtained during a period of expected behavior of the computing system. One or more correlations are determined between values of the first set of values to establish one or more expected correlations between values of two or more metrics. A second set of values for the set of metrics is obtained. A determination is made as to whether values of the second set of values maintain the one or more expected correlations determined based on the first set of values.

System monitoring with metrics correlation for data center

Embodiments of the present disclosure provide a method and apparatus for document recommendation by obtaining a plurality of first data for a source recommendation task from activities related to a source user using a plurality of first documents; obtaining a plurality of second data for a target recommendation task from activities related to a target user using a plurality of second documents; performing the target recommendation task based on the plurality of first data, the plurality of second data, and knowledge transferred from the source recommendation task to obtain a target recommendation model; and conducting document recommendation to the target user using the target recommendation model.

Document recommendation

Embodiments of the present disclosure relate to a method an apparatus and a computer program product for constructing a scalable storage device by constructing the scalable storage device by combining a plurality of modularized building blocks; wherein each modularized building block in the plurality of modularized building blocks comprises a magnetic disk enclosure; and at least one modularized building block in the plurality of modularized building blocks comprises a storage processor, the storage processor comprising an input output processing unit; forming a cluster using the input output processing unit in the at least one modularized building block; and processing, using the cluster, an input or output (I/O) request from a host and metadata service.

Constructing a scalable storage device, and scaled storage device

Embodiments of the present disclosure provide a method and apparatus for video surveillance. The method comprises: receiving a video data transmission request from a mobile device; registering the mobile device as a temporary surveillance device of the video surveillance system in response to the video data transmission request; establishing a wireless connection with the mobile device, receiving video data from the mobile device via the wireless connection; and processing and storing the video data. The methods or apparatuses of the present disclosure enables a mobile device to temporarily join in a video monitoring system as needed so as to supplement and reinforce the existing video monitoring systems, e.g., enhancing the coverage and/or precision of the video surveillance systems.

Method and apparatus for video surveillance

The present disclosure provides a method and apparatus for storing data. The method comprises: extracting metric information and metadata associated with the metric information from time series data, the metric information including a time value and a numerical value at the time value; and staling the metric information in an object storage device and the metadata in a database. As compared with the prior art, the present disclosure provides a flexible storage design to guarantee extensibility of storage capacity and meanwhile support fast data retrieving.

Method and apparatus for storing data

A method, system and computer program product for performing video analytics on content, by collecting content (video data) from a plurality of sources, wherein the content pursues a streaming protocol; and performing at least one of storing the content in a local repository for downtime recording wherein on negative determination of a network connection, wherein servers directly coupled to a plurality of sources cache content until the network connection retains normalcy or performing analytics at least one of a real-time insight or an interactive insight or a batch insights on the content, and displaying to the user a resulting insight wherein the resulting insights are in a human readable form.

Video analytics

Embodiments of the present disclosure provide a method and apparatus for data processing. The apparatus comprises: a dividing unit configured to divide, based on a predetermined policy, computation workload for data in a storage node into at least one sub-workload; and a dispatching unit configured to dispatch the at least one sub-workload to at least one of the storage node and a computing node that is physically separate from the storage node for execution of the at least one sub-workload with computing resources in the at least one of the storage node and the computing node.

Apparatus and method for data processing

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

A computing system is monitored by collecting monitoring information from two or more different monitoring tools associated with respective portions of the computing system, where the monitoring tools having different information collection capabilities associated therewith. The monitoring information received from the different monitoring tools is consolidated in a unified data store. The unified data store is utilized to perform analytics relating to inter-dependencies of storage, compute and networking components of the computing system managed by different ones of the monitoring tools. The analytics results are presented utilizing a monitoring dashboard.

Monitoring and analytics system

A plurality of data sets to be moved from a source site to a target site in a cloud computing platform is received at a plurality of a containerized data ingest components located at the source site. The received plurality of data sets are provided from the plurality of data ingest components to a staging cluster comprising a plurality of containerized broker components located at the source site, wherein the plurality of containerized broker components queue the plurality of data sets. The queued plurality of data sets are provided from the plurality of containerized broker components to a processing cluster comprising a plurality of containerized data processing components, wherein the plurality of containerized data processing components process the plurality of data sets. The plurality of data sets is transmitted from the plurality of containerized data processing components to the target site.

Data processing and data movement in cloud computing environment

A specification of visualization requirements for a customized visualization associated with one or more storage, compute and networking resources of a data center is generated. Resource data is obtained from one or more data sources, the resource data being associated with one or more of the storage, compute and networking resources of the data center. One or more data views are created utilizing the resource data, each data view comprising a dynamic mapping of the resource data based on the visualization requirements. One or more visuals are rendered utilizing the one or more data views. The customized visualization is generated by organizing the visuals into one or more dashboards of a graphical user interface.

Customized visualizations for data centers

Processing nodes in a distributed ad-hoc computing environment are discovered, wherein each processing node is configured to discover other processing nodes. A set of candidate processing nodes is selected from the discovered processing nodes. Selection is based on each discovered processing node advertising its own capabilities to other processing nodes, and processing nodes are selected as candidates based on their advertised capabilities. A subset of processing nodes is formed from the set of candidate processing nodes. The subset of processing nodes forms a self-organized task coordination ensemble wherein each processing node in the task coordination ensemble executes the same consensus protocol. By way of example, the distributed ad-hoc computing environment comprises an IoT network and the processing nodes are IoT devices.

Self-organizing distributed task coordination for ad-hoc computing environment

The present application discloses at least a method, apparatus, and system for automatic refueling of a driverless vehicle. A specific implementation of the method includes: sending refueling request information when a fuel amount is lower than a preset value and a refueling condition is satisfied; receiving preselected gas station information corresponding to the refueling request information; determining, from the preselected gas station information, destination gas station information and driving route information of a destination gas station; sending refueling request information after arriving at the destination gas station based on the driving route information of the destination gas station; turning off an engine and/or an electric motor after receiving refueling permission information corresponding to the refueling request information, opening a fuel tank cap, and sending refueling confirmation information; and closing the fuel tank cap after receiving refueling completion information. This implementation improves the refueling efficiency.

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Beijing, China

Xiaoyan Guo