International Business Machines Corporation

Vasily Tarasov

Dean Hildebrand

Lukas Rupprecht

Birgit Monika Pfitzmann

Renu Tewari

Nikolai A Joukov

Marco Pistoia

Takaaki Tateishi

Wayne A Sawdon

Norbert George Vogl

Umesh Deshpande

Dimitrios Skourtis

Ramani Ranjan Routray

Frank Bernhard Schmuck

Nimrod Megiddo

Marc M Eshel

Chao Zheng

D Scott Guthridge

Jeremy Andrew Cohn

Joel P Ossher

Lei Pan

Sergej Chicherin

A computer-implemented method, according to one approach, includes performing a predetermined first data merge process in response to a determination that a version conflict exists between a plurality of versions of a data file resulting from editing performed on different cloud devices. The predetermined first data merge process includes determining a first merging policy of the data file from a plurality of potential merging policies, determining a plugin associated with the data file, and calling the plugin. The first merging policy is used as an input for the plugin, and the plugin includes predetermined conditions for determining first contents of the versions of the data file to exclude from a merge operation performed on the data file and second contents of the versions of the data file to include in the merge operation.

Calling a plugin and using a merging policy for mitigating version conflicts

A computer-implemented method according to one embodiment includes receiving a request to create a container; retrieving a manifest for a container image of the container; and mounting a file system for the container, utilizing the manifest.

Container image creation and deployment using a manifest

A computer-implemented method according to one embodiment includes receiving a manifest for a container image of a container to be created; identifying a mapping index for a cluster of computing nodes; and selecting a computing node within the cluster of computing nodes to create the container, based on a comparison of the manifest to the mapping index.

Content-aware node selection for container creation

A computer-implemented method includes receiving characteristic information of a container registry. The container registry includes a plurality of container images. The method includes selecting at least two container images in the container registry and selecting parameters for optimization based on the characteristic information. The method also includes generating a cost function based on the parameters for optimization and optimizing the at least two container images in the container registry based on the cost function. A computer-implemented method includes receiving a composition of each of at least two layers in a container image. The composition of each of the at least two layers includes at least one file. The method includes mapping overlap between the composition of the at least two layers and estimating a redundancy in the container image based on the overlap. The method also includes calculating new layers which reduce the redundancy in the container image.

Optimizing image reconstruction for container registries

According to one embodiment, a computer program product for managing contention includes a computer readable storage medium that has program instructions embodied therewith, where the computer readable storage medium is not a transitory signal per se, and where the program instructions are executable by a processor to cause the processor to perform a method including incrementing, by the processor, a counter associated with an image in response to a creation of a container instance using the image, comparing, by the processor, the counter to a threshold value, and conditionally replicating the image by the processor, based on the comparing.

Sharing container images utilizing a shared storage system

In an approach to optimizing container images through automatic layer suggestions, one or more computer processors identify one or more layers contained within an image. The one or more computer processors compare each identified layer with one or more layers contained in an image repository. The one or more computer processors calculate a layer overlap score for each compared layer. The one or more computer processors determine a potential substitute layer utilizing a respective calculated layer overlap score. The one or more computer processors, responsive to the determined substitute layer exceeding a layer overlap score threshold, substitute one or more identified layers with the determined substitute layer. The one or more computer processors restructure one or more layers of the image based on the substituted layer.

Container optimization through automatic layer suggestions

Embodiments relate to a computer system, computer program product, and method to process files, and specifically, to support read and write requests of a multi-object file. Upon receipt of a file, a computer system parses the file into two or more logical objects. Each logical object has an associated or inherent characteristic. Each of the logical objects is matched to a storage tier in a multi-tier storage array. Each logical object is then assigned to a tier based on one or more object characteristics in the matched storage tier, and stored in a decomposed format.

Format aware file system with file-to-object decomposition

A computer-implemented method according to one embodiment includes monitoring and storing historical data access to image data by a container within a container environment, identifying or predicting that a container is to be started utilizing the image within the container environment, predicting data to be accessed by the container, based on the historical data access by the image, and initiating a copy-on-write (COW) for the data to be accessed by the container, in response to identifying or predicting that the container is to be started.

Performing proactive copy-on-write for containers

In response to an I/O request, a processor reconstructs a file system request by laying out a disk image, performing type-specific introspection on the disk image including determining disk image type and using a file system specific process for a particular type of file system located in the disk image for analyzing the disk image structure.

Disk image introspection for storage systems

A computer-implemented method according to one embodiment includes identifying an accessing of a file within an operating system, checking an in-memory cache for path information associated with the file, checking an external cache for the path information associated with the file, conditionally retrieving the path information associated with the file by performing a file system lookup and adding the path information associated with the file to the in-memory cache and the external cache, and returning the path information.

Implementing a secondary storage dentry cache

Embodiments relate to a computer system, computer program product, and method to process complex files, and specifically, to support read and write requests of a multi-object file. Upon receipt of a file, a computer system parses the file into two or more logical objects. Each logical object has an associated or inherent characteristic. Each of the logical objects is matched to a storage tier in a multi-tier storage array. Each logical object is then assigned to a tier based on one or more object characteristics in the matched storage tier, and stored in a decomposed format. In addition, an identification of each logical object, and the object assignment, is recorded in an index.

A computer-implemented method according to one embodiment includes identifying an accessing of a file within an operating system, checking an in-memory cache for path information associated with the file, checking an external cache for the path information associated with the file, conditionally retrieving the path information associated with the file by performing a file system lookup and adding the path information associated with the file to the in-memory cache and the external cache, returning the path information, and reorganizing the external cache to put file information that is frequently accessed together in a single block or adjacent blocks.

A computer-implemented method according to one embodiment includes identifying an overhead associated with a tracing of a system, comparing the overhead to a predetermined threshold, and adjusting a number of trace points currently enabled within the system, based on the comparing.

Adjusting trace points based on overhead analysis

An aspect includes input/output (I/O) stack modeling. A processor determines a client configuration of a client I/O stack that includes layers with configurable parameters to control storage and retrieval of data between an uppermost layer and lowest layer. A model of the client I/O stack is built on a layer basis that defines input workload characteristics, output workload characteristics, and layer configuration parameters for the layers of the model based on the client configuration. Workload characteristics of the uppermost layer of the client I/O stack are fed to the model. The processor determines a statistical distribution of workload characteristics associated with each of the layers of the client I/O stack. I/O performance results are captured for layers of the model based on feeding the workload characteristics of the uppermost layer.

Growing community of inventors

Port Jefferson Station, NY, United States of America

Vasily Tarasov