International Business Machines Corporation

Globalfoundries Inc.

Clement Lambert Dickey

Paul Henri Muench

Yu-Cheng Hsu

Joseph S Hyde, Ii

Lawrence Yiumchee Chiu

Cheng-Chung Song

Roman Alexander Pletka

Nikolas Ioannou

Ioannis Koltsidas

Sangeetha Seshadri

Stephen LaRoux Blinick

Daniel Waddington

John Earle Lindley

Douglas Paul Dunham

Nancy Lott Hobbs

Luna Xu

Tina Lynn Dunton

Barbara J Camacho

Roman David Druker

Xioa-Yu Hu

A computer-implemented method includes receiving data structures in memory space and creating micro-heaps on a per-data structure basis. Each data structure is associated with a micro-heap allocator. The method also includes storing the data structures in a key-value store. Values of the key-value store are associated with the data structures. A computer program product includes one or more computer readable storage media, and program instructions collectively stored on the one or more computer readable storage media. The program instructions include program instructions to perform the foregoing method. A system includes a processor and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

Pointer-based dynamic data structures in key-value stores

Embodiments relate to adaptive memory apportioning. An aspect includes, statistics captured for a plurality of elements of a partitioned linear address space. Each addressable location is an element in the address space. Subspaces of the partitioned linear address space are rated based on captured statistics of at least one element. The subspaces are differentiated, based on the frequency of access, as being of lesser and greater significance. The boundaries that separate the subspaces are altered so as to effect coarser granularity in the subspaces determined to have the lesser significance and finer granularity in the subspaces determined to have the greater significance.

Adaptive statistics for a linear address space

Embodiments relate to non-disruptive modification of a device mapper stack. Aspects include receiving the device mapper stack comprising a first device mapper layer having an active mapping table and creating a second device mapper layer having a copy of the active mapping table from the first device mapper layer. Aspects further include creating an inactive mapping table having a desired mapping logic in the first device mapper layer and suspending and resuming an operation of the first device mapper layer. Suspending and resuming causes the active mapping table of the first device mapper layer to be replaced with the inactive mapping table of the first device mapper layer.

Non-disruptive modification of a device mapper stack

A computer program product, system, and method for managing metadata for caching devices during shutdown and restart procedures. Fragment metadata for each fragment of data from the storage server stored in the cache device is generated. The fragment metadata is written to at least one chunk of storage in the cache device in a metadata directory in the cache device. For each of the at least one chunk in the cache device to which the fragment metadata is written, chunk metadata is generated for the chunk and writing the generated chunk metadata to the metadata directory in the cache device. Header metadata having information on access of the storage server is written to the metadata directory in the cache device. The written header metadata, chunk metadata, and fragment metadata are used to validate the metadata directory and the fragment data in the cache device during a restart operation.

Managing metadata for caching devices during shutdown and restart procedures

Input/output (I/O) activity in the multiple tier storage system is monitored to collect statistical information. The statistical information is recurrently transformed into an exponential moving average (EMA) of the I/O activity having a predefined smoothing factor. Data portions in the multiple tier storage system are sorted into buckets of varying temperatures corresponding to the EMA. At least one data migration plan is recurrently generated for matching the sorted data portions to at least one of an available plurality of storage device classes. One data portion sorted into a higher temperature bucket is matched with a higher performance storage device class of the available plurality of storage device classes than another data portion sorted into a lower temperature bucket.

Storage application performance matching

A storage area network has one or more digital data processors, e.g., hosts, in communication with one or more storage devices. At least a selected one of the hosts has an operating system in which a storage device must be claimed before the storage device can be accessed by applications programs executing on that host. The improvement is characterized by a selectively actuable filter, e.g., loaded with the selected host operating system, that when downloaded and actuated to a host intervenes to block claiming of one or more selected storage devices.

Storage area network methods and apparatus for dynamically enabled storage device masking

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San Jose, CA, United States of America

Clement Lambert Dickey