Emc IP Holding Company LLC

Emc Corporation

Binhua Lu

Dazhi Dong

Xiaogang Wang

Chen Zhang

Xing Chen

Bo Wu

Norman Speciner

Scott David Von Rhee

Zhipeng Zhang

Binbin Deng

Shouyuan Cheng

Scott E Joyce

Bruce Rabe

James Odis Pendergraft

Hui Gao

Daniel Stanton Keefe

Xiaohua Fan

Peter Wang

Chaoming Liu

Shufang Meng

Tongyin Xu

Feng Yin

Techniques perform storage management. In accordance with such techniques, in response to determining that there is an abnormal process in a process group of an application, and a first size of storage space occupied by the abnormal process exceeds a first threshold, an abnormal process is terminated. A second size of storage space occupied by other processes than the abnormal process in the process group after the abnormal process is terminated is determined. In response to the second size exceeding a second threshold, at least one process in the process group to reduce the second size is terminated, where the at least one process is different from the abnormal process.

Method, device and computer program product for storage management

A command request may be made to create a new entity in a data storage system. The new entity may be depend upon one or more base objects required to exist prior to creating the new entity. The command request may be processed in accordance with a selected policy affecting the required base objects. The selected policy may be one of a defined set of policies affecting actions taken with respect to the required base objects and new entity. For example, the policies may provide for automatically creating the required base objects and new entity; automatically selecting existing base objects used to create the new entity; generating a command list of recommend commands for creating the required base objects and the new entity; and generating a recommend list of existing base objects and a command for creating the new entity using at least one of the existing base objects.

Base object selection and creation in data storage system management

A data storage system executes a system management component initiating and monitoring a multi-task job affecting a storage resource such as a storage device. Execution includes maintaining a job data object and a set of task data objects for the multi-task job. A task operates upon the storage resource has a respective task data object containing an identifier of the storage resource as a task-affected storage resource. The job data object is used by a job-level function (e.g., job level of a management GUI) and initially lacks the identifier of the storage resource. During execution, the identifier of the storage resource is copied from the task data object to the job data object as an identifier of a job-affected storage resource, which is then used in subsequent performance of the job-level function (e.g., displaying a hyperlink for the storage resource in a job-level screen of the management GUI).

Data storage system management with promotion of task-level resource identifiers to higher objects

Described are techniques for testing software. The techniques may include identifying, at a first point in time, first code that has been modified, identifying, using first mapping information, a testing set of one or more test cases wherein the first mapping information identifies each test case of the testing set as a test case used to test the first code, running the testing set, generating coverage information in accordance with executing; analyzing the coverage information, generating second mapping information in accordance with said analyzing, and updating the first mapping information in accordance with the second mapping information.

Automated test coverage analysis, execution and reporting

Described are techniques for performing system management. A first policy definition of a first policy is received. The first policy definition includes information identifying a first criterion, a first resource of the system, and a first action to be taken. It is determined whether a condition of the first policy is met. The condition includes the first criterion. Responsive to determining that the condition is met, first processing is performed that includes performing the first action.

Policy based system management

An improved method of analyzing software issues may include retrieving and storing selected data elements from the operating system kernel data prior to performing a memory dump. The method of retrieving the selected kernel data may include creating a thread dedicated to collecting the data and storing it in a memory location for analysis after the memory dump. The operating system kernel data may be analyzed in conjunction with the prior art dump data to identify a root cause of the software issue.

Including kernel object information in a user dump

A data storage system includes storage processors that execute respective datapath components and management components. The datapath components maintain logical storage objects being the target of the storage I/O commands and for which underlying data is stored on an array of storage devices. The management components operate in an active-standby fashion in which (1) the management components maintain respective separate copies of a management database storing information about the logical storage objects, (2) an active management component serves external requests from a storage administrator by accessing its copy of the management database, and (3) a standby management component responds to non-availability of the first management component by becoming the active management component and serving subsequent external requests from the storage administrator by accessing its copy of the management database. Failover speed is increased due to the standby management component maintaining a current copy of the management database.

Data storage system with active-standby system management

An automatic technique for a timely diagnostic uses a cloud service and includes (1) after a memory dump file is generated, uploading the dump file and system configurations to an analysis server, (2) extracting key call stacks from the dump file in the server, (3) searching a cloud-based knowledge base for entries corresponding to contents of the call stack and the system configurations (like model, SW version, etc.), these entries representing known issues having similar call stack contents and/or system configurations. If relevant knowledge base entries are found, then they are used to identify a root cause and suggest solutions. If no relevant knowledge base entries are found, this result is reported along with any other potentially useful data from the dump file analysis, such as an identification of a product area for a program identified by the dump file name.

Memory dump file collection and analysis using analysis server and cloud knowledge base

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