Emc IP Holding Company LLC

Emc Corporation

Tianqing Wang

Qiyan Chen

Feng Guo

Yun Zhang

Lintao Wan

Kai Yan

Lin Peng

Stephen J Todd

Chao Chen

Dong Xiang

Chenhui Fan

Alexey Valentinovich Romanovskiy

Yicang Wu

Hao Xu

Vasily Olegovich Zalunin

Andrey Pakhomov

Robert B Masson

Zhihao Lu

Lun Zhou

John F Wyatt, Jr

Mark A Traietti

Tao Chen

Daniel Vernon Bailey

David Stephen Reiner

Qianjie Zhong

Kay Kai Yan

Yu Fu

Techniques for calculating a per-tenant cost in a multi-tenant data storage system. In one example, a method comprises the following steps. One or more cost contribution factors associated with a storage provider entity operating a data storage system for a plurality of tenants of the data storage system are identified. One or more cost items chargeable to each of the plurality of tenants are identified, the one or more cost items being associated with usage of the data storage system by each of the plurality of tenants. The one or more cost contribution factors associated with the storage provider entity are correlated with the one and more chargeable cost items for each of the plurality of tenants. A respective cost value payable by each tenant is determined based on the correlation step. In one further example, the methodology calculates a fixed energy cost associated with storing tenant data and a dynamic energy cost associated with the tenant accessing the stored data.

Per-tenant cost calculation in multi-tenant data storage system

Embodiments of the present disclosure relate to an apparatus and method for facilitating access to data in a distributed storage system by using a processing unit configured to collect information related to running status of the distributed storage system; obtain metadata related to data stored in the distributed storage system; in response to a request from a client, provide to the client the information related to running status and metadata related to data to be accessed; and extend storage nodes in the distributed storage system so that the client can directly access the storage nodes by using the information related to running status and the metadata related to data to be accessed. Other embodiments are also disclosed.

Facilitating access to data in distributed storage system

Example embodiments of the present invention relate to a method and a system for datacenter management. The method includes retrieving logical relationship information regarding a datacenter and generating a layered information model of the logical relationship information regarding the datacenter. The datacenter then may be managed according to commands received from a datacenter management device configured to navigate the layered information model.

Method and system for improving datacenter operations utilizing layered information model

Embodiments of the present invention relate to method and apparatus for system problem diagnosis and recovery. According to embodiments of the present invention, problem symptom information in a system can be automatically monitored and collected BY a monitoring apparatus (or referred as to 'agent') deployed at the system side. Upon after receiving such information, the diagnosis apparatus, for example, may automatically determine a root cause of the problem by querying a backend knowledge repository, and possibly generate an executable software package for recovering the problem. If the diagnosis apparatus determines that the currently available information is insufficient to determine a creditable enough root cause and/or is insufficient to generate the software package for recovering the problem, the diagnosis apparatus may interactively control the monitoring apparatus to collect desired additional information. In this way, the efficiency and accuracy of problem diagnosis and recovery may be improved.

Method and apparatus for diagnosis and recovery of system problems

Example embodiments of the present invention provide a method, apparatus and computer program product for determining a share of power consumption by an application executing on a server. The method includes obtaining metrics relating to operation of the server and obtaining metrics relating to server resource utilization attributable to the application. A transformation is then performed using the metrics relating to operation of the server and server resource utilization attributable to the application to determine the respective share of power consumption by the application executing on the server. Additionally, greenhouse-gases attributable to the application also may be calculated.

Energy-aware virtual infrastructure

A data classification system is associated with a hybrid cloud comprising at least one private cloud and at least one public cloud. The data classification system comprises a data set classification model classifying data sets, a cloud classification model classifying the private and public clouds of the hybrid cloud, and mapping policies each specifying a particular mapping between one or more classes of the data set classification model and one or more classes of the cloud classification model. The data classification system classifies a received data set using the data set classification model, and determines for the received data set at least one cloud of the hybrid cloud to which the received data set should be directed for further processing based at least in part on a result of the classification of the received data set, the cloud classification model and a selected one of the mapping policies.

Data classification system for hybrid clouds

A method and apparatus for managing network attached storage that includes detecting frequency of access from a client to a data item that is in a first server in the network attached storage, a global namespace of the network attached storage indicating an access address for accessing the data item, the access address including a first address of the data item in the first server; in response to the frequency being higher than a predetermined threshold, copying the data item from the first server to a second server in the network attached storage which is proximate to the client, so as to form a data image; and updating the global namespace so as to add to the access address a second address of the data image in the second server whereby the data access efficiency of the network attached storage can be considerably improved.

Managing network attached storage

Techniques are disclosed for generating data provenance associated with a computing system. For example, a method comprises the following steps. Information associated with the execution of a given process in a given computing environment in accordance with a given process data set is captured. A provenance data set is generated based on the captured information. The generated provenance data set comprises one or more states associated with one or more execution components of the given computing environment that existed during execution of the given process, the one or more execution components comprising one or more virtual machines and one or more storage units. At least a portion of the generated provenance data set may be utilized to revert the computing environment back to the one or more states associated with the one or more execution components of the given computing environment that existed during the execution of the given process.

Data provenance in computing infrastructure

A plurality of performance-based storage nodes and a plurality of capacity-based storage nodes of a data storage system in a network environment are allocated to one or more tiered resource pools such that the performance-based storage nodes and the capacity-based storage nodes allocated to each one of the one or more tiered resource pools are addressable via a given virtual address for each tiered resource pool. Access to the performance-based storage nodes and the capacity-based storage nodes in the one or more tiered resource pools by a plurality of compute nodes is managed transparent to the compute nodes via a given storage policy. At least portions of the compute nodes, the performance-based storage nodes, and the capacity-based storage nodes are operatively coupled via a plurality of network devices. One or more of the allocating and managing steps are automatically performed under control of at least one processing device.

Storage tiering in cloud environment

In some embodiments, a request to retrieve a photograph is received. The request is interpreted and associated metadata for the requested photograph is retrieved. A determination is then made as to whether to retrieve the content of the photograph from either a multi-image container file or from a photo cache. The content of the photograph is then retrieved from the determined source. Finally, the content of the photograph and associated metadata are displayed on a display.

Lightweight appliance for content retrieval

Embodiments of the present disclosure disclose a method and an apparatus for configuring a data center. The method comprises obtaining a function call corresponding to data to be configured based on a template for configuring the data center; obtaining a vendor driver corresponding to the data based on the template for configuring the data center. The method further comprises configuring the data by the vendor driver executing the function call. Based on the embodiments of the present disclosure, the way of automatically configuring the data center based on the template may improve the efficiency and security for configuration of the data center.

Configuring a data center

The present disclosure relates to a method and apparatus for troubleshooting based on log similarity. In one embodiment, there is provided a method for troubleshooting based on log similarity, comprising: extracting log patterns from multiple log files in response to having collected the multiple log files from at least one system with troubles, the log pattern describing a regular expression to which a log message in a log file among the multiple log files conforms; building a pattern repository using the log patterns; mapping each of the multiple log files to an n-dimensional vector based on the pattern repository; and clustering multiple n-dimensional vectors to which each of the multiple log files is mapped into at least one group, wherein each of the at least one group indicates one trouble type of the at least one system. In another embodiment, there is provided a corresponding apparatus.

Troubleshooting based on log similarity

A method and apparatus for providing caching service in network infrastructure. In an embodiment, there is provided a method for providing caching service in network infrastructure, comprising: in response to at least one application node accessing data in a storage node, caching a copy of the data in a cache server; in response to the at least one application node accessing the data in the storage node, obtaining an identifier indicating whether the data in the storage node is valid or not; and in response to the identifier indicating the data in the storage node is valid, returning the copy; wherein the at least one application node and the storage node are connected via the network infrastructure, and the cache server is coupled to a switch in the network infrastructure. In another embodiment of the present invention, there is provided an apparatus for providing caching service in network infrastructure.

Method and apparatus for providing caching service in network infrastructure

A method, article of manufacture, and apparatus for lightweight storage of content is disclosed. In some embodiments, a request to store a photograph is received from a user. The content of the photograph is then compressed. A list of multi-image container files associated with the user and with sufficient storage space available to store the compressed content of the photograph is then retrieved. The compressed content of the photograph is stored in a multi-image container file. Finally, the modified multi-image file is stored in a storage device.

Growing community of inventors

Shanghai, China

Tianqing Wang