Emc Corporation

Emc IP Holding Company LLC

Julio A Colon

Dan Aharoni

Hagay Dagan

Gil Ratsaby

Taojun Wu

Marvin F Miller

Richard F Otte

Iliès Idrissi

Philipp Smirnov

A target data storage system is simulated. A source configuration is received. First activity data is received representing workload for the source configuration. A target data storage system configuration for one or more target data storage systems is created. The target data storage system configuration is modeled including determining a simulated workload for components of the target data storage system configuration based on the first activity data. A utilization map is displayed in a user interface indicating component level utilizations of components of the target data storage system configuration based on the simulated workload. A data movement optimization for the target data storage system configuration is simulated. A second utilization map is displayed indicating updated component level utilizations for the target data storage system configuration which have been revised to model the simulated data movement optimization for the target data storage system configuration.

Data storage system modeling

A tool and/or other system is provided that simulates write pacing in connection with a requested operation for a storage system to allow an analysis of the effect of the requested operation on the storage system. In an embodiment, the storage system may be an RDF system operating in an asynchronous transfer mode (e.g., an SRDF/A system) and the requested operation may correspond to a snapshot copy operation of the R2 device and/or a slowdown in one of the storage devices and/or the links therebetween while the SRDF/A system is operating. The system described herein enables simulation of a storage system to take into account an effect of write pacing and may be advantageously used to anticipate and/or otherwise minimize or avoid operations at a particular time that would create undesired initiation of write pacing.

Write pacing simulation tool

Described are techniques for identifying a data storage volume exhibiting a performance problem. First information indicating a sorted ordering of a plurality of maximum response times is displayed for a plurality of data storage volume. A first of the plurality of data storage volumes having a largest one of the plurality of maximum response times is selected. In response to such selecting, additional information is displayed in the user interface about the first data storage volume. The additional information includes at least one workload or performance characteristic of the first data storage volume.

Techniques for identifying devices having slow response times

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Northbridge, MA, United States of America

Julio A Colon