Emc Corporation

Manish Madhukar

Xiangping Chen

David W Harvey

Mark K Ku

Dean D Throop

Khang Can

Malcolm Lawson

Jeffrey Alan Brown

Arun Joseph

Felix Rieper

Matthew Norgren

Rahul D Pradhan

Jeffrey A Blakeslee

Rasa Matulioniene

Jaleel A Kazi

Rasa Raghavan

Kelly N Kelly

A method, computer program product, and computing system for generating, by a computing device, a key, wherein the key includes at least one of an encryption key and an authentication key. One or more credentials may be generated to access a Secure KeyStore storing the key, wherein the one or more credentials may include one or more stable system values, and wherein the one or more stable system values may include one or more virtual values and one or more hardware values. The one or more stable system values may be provided to the Secure KeyStore to retrieve the key.

Securely and redundantly storing encryption credentials system and method

A method is used in measuring data access activity. I/O data is analyzed that describes I/O activity for a slice of a logical volume. Based on the I/O data, a first value of data access activity is determined for the slice corresponding to a first time period, and a second value of data access activity is determined corresponding to a second time period. From the first and second values, an exponential moving average of data access activity is derived for the slice.

Measuring data access activity

Methods and systems are disclosed for relocating data in a physical storage pool comprising a plurality of storage tiers having differing performance characteristics, the physical storage pool being mapped into one or more logical units, each logical unit comprising a plurality of logical slices of data storage. The methods and systems can involve receiving a relocation list, the relocation list including, for each of a plurality of logical slices, a slice identifier, a temperature value, and a current physical location, determining a destination tier for each logical slice on the relocation list, evaluating for each logical slice on the relocation list a performance gain expected to be achieved by moving the logical slice from its current physical location to a new location in the destination tier, and relocating data in a logical slice from its current physical location to the new location based on the evaluation.

Automated data relocation among storage tiers based on storage load

A method is used in applying data access activity measurements. A slice relocation candidate list is generated which identifies slices to be relocated along with respective destination tier information. Slices in a pool are matched to respective matching tiers based on the slices' respective temperatures and tier preferences. Based on whether a current tier for a slice differs from the matching tier for the slice, the slice is listed in the relocation candidate list.

Applying data access activity measurements

Described are techniques for controlling performance of a data storage system. As a first part of an interactive dialogue, a policy is selected including one or more I/O classes each representing a logical grouping of I/O requests received at the data storage system. As a second part of the interactive dialogue, performance of said data storage system is monitored for each I/O class included in said policy without enforcing said policy. As a third part of the interactive dialogue, at least one performance goal associated with one of said I/O classes is set. The policy is run as a fourth part of the interactive dialogue causing enforcement of the policy on the data storage system in accordance with the at least one performance goal.

Techniques for controlling data storage system performance

A method for optimizing the operation of a data storage system utilizes a genetic algorithm to adjust internal parameters of the system. The method involves determining a set of optimum values of each of two or more different data array parameters, such as data request types that will be processed concurrently, to achieve performance goals that are set by the user for the system. The optimum values are determined by iteratively evaluating the performance of the system while it processes the different combinations of values of the two or more data requests, saving the combinations of numbers that yield performance parameters that approach the goal and eliminating combinations of number of data request types that do not.

Method of controlling the performance of a data storage system

Growing community of inventors

Shrewsbury, MA, United States of America

Manish Madhukar