International Business Machines Corporation

Mansi Ajit Shah

Frank Bernhard Schmuck

Karan Gupta

Renu Tewari

Manoj Premanand Naik

Prasenjit Sarkar

Prashant Pandey

Himabindu Pucha

Owen Theodore Anderson

Rajagopal Ananthanarayanan

The embodiments described herein relate to synchronization of data in a shared pool of configurable computer resources. One or more consistency points are created in a source filesystem. A first consistency point is compared with a second consistency point to detect a directory change at the source filesystem, which includes identifying at least one difference between the first and second consistency points. A file level change associated with an established directory at a target filesystem is identified responsive to the detection of the directory change. A link is established between the source filesystem and the target filesystem, and the established directory is updated based on the file level change.

Synchronizing updates across cluster filesystems

Embodiments of the invention relate to synchronization of data in a shared pool of configurable computer resources. An image of the filesystem changes, including data and metadata, is captured in the form of a consistency point. Sequential consistency points are created, with changes to data and metadata in the filesystem between sequential consistency captured and placed in a queue for communication to a target filesystem at a target site. The changes are communicated as a filesystem operation, with the communication limited to the changes captured and reflected in the consistency point.

Embodiments of the invention relate to optimizing a file system for different types of applications in a compute cluster using dynamic block size granularity. An exemplary embodiment includes reserving a predetermined number of storage allocation regions for each node in a cluster, wherein each storage allocation region comprises a set of contiguous data blocks on a single storage disk of locally attached storage; using a contiguous set of data blocks on a single storage disk of locally attached storage as a file system's block allocation granularity for striping data to be stored in the file system for a compute operation in the cluster; and using a single data block of a shared storage subsystem as the file system's block allocation granularity for striping data to be stored in the file system for a data access operation in the cluster.

Optimizing a file system for different types of applications in a compute cluster using dynamic block size granularity

A computer-implemented method enables efficient tracking of fileset IDs and inode utilizing a fileset mask and an internal inode mask. A utility dynamically updates the fileset mask and the internal inode mask to enable mapping of the number of one (1) bits in the fileset mask to a fileset identifier (ID) and mapping of the one bits in the inode mask to an inode number for the fileset, as either the number of filesets or the number of inodes required per filesets increases above a next power of two threshold. The one bits within the fileset mask and the internal inode mask are disjoint relative to each other. An external inode number is mapped to a corresponding fileset and to a corresponding inode number by concatenating individual bits of the external inode number corresponding to each one (1) bit within the fileset mask and the inode mask.

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Sunnyvale, CA, United States of America

Mansi Ajit Shah