International Business Machines Corporation

Maria Rose Ward

Michael E Browne

Chethan Jain

Christina Ann Lara

Nancy J Finn

Ashwin Venkatraman

Trevor E Carlson

Stephanie A Schaum

Kyle R Moser

Andrew P Wack

Yogesh Patgar

Meghna Paruthi

Thomas North Adams

Sarah W Huber

Laurie Mueller Morse

Dara Lynn Rice

Manjunatha H R

A computer-implemented method, and a computer system are provided for implementing dynamic and automatic altering a user profile based on machine learning and cognitive analysis to improve user performance. The user profile is dynamically altered based upon live data from multiple external data sources using machine learning and cognitive application programming interfaces (APIs) without explicit input from the user. The altered user profile is automatically stored for the user. The stored user profile is deployed for multiple selected user applications enabling enhanced performance for the user.

Implementing dynamically and automatically altering user profile for enhanced performance

Disclosed aspects include managing a set of wear-leveling data with respect to a set of physical cores of a set of compute nodes. A set of physical cores of the set of compute nodes may be monitored using a set of processor utilization resource registers (PURRs) to identify the set of wear-leveling data. By monitoring the set of physical cores of the set of compute nodes, a set of thread events with respect to the set of physical cores of the set of compute nodes may be detected. Based on the set of thread events, the set of wear-leveling data may be determined. The set of wear-leveling data may then be established in a data store. The wear leveling data may be used to manage asset placement with respect to a shared pool of configurable computing resources.

Managing a set of wear-leveling data using a set of thread events

Method and apparatus for resource pooling. Embodiments receive allocation information for a plurality of containers. Each of the plurality of containers is assigned to one of a plurality of groups. The allocation information specifies, for each of the plurality of groups, a respective number of physical CPUs to allocate to the group. A plurality of virtual resource pools are crated based on the allocation information wherein a single virtual resource pool is created for each of the plurality of groups. Embodiments create a container resource group mapping based on the allocation information. The container resource group mapping is a mapping between one or more physical CPUs in a shared processor pool and the plurality of virtual resource pools. Embodiments provide resources from the one or more physical CPUs to the plurality of containers according to the container resource group table and the virtual resource pools.

Resource pooling in a virtualized cloud container environment

Embodiments include method, systems and computer program products for protecting against unintentional command re-execution. The method includes applying a shell wrapper to a shell history in which the shell history includes one or more commands. The method further includes analyzing each of the one or more commands in the shell history using the shell wrapper. The method further includes disabling an ability to re-execute one or more commands in the shell history based on a determination that the one or more commands in the shell history are determined to be potentially dangerous.

Protecting against an unintentional re-execution of commands in a shell history

A method, system and computer program product for implementing paging device selection based on wear-level factor data in a computer system. Paging is used to store the temporary memory pages in a virtualization environment. Wear-level factor data is identified for each paging device. Selection of a paging device is based on the identified wear-level factor data.

Implementing paging device selection based on wear-level data

A system may be configured to provide secure access to a physical resource through the use of a partitionable virtual input/output server in a virtualized environment. A server may receive a request to access the physical resources from a cloud tenant administrator. The cloud tenant may be assigned to a particular working load partition (WPAR), and the physical resources may be assigned to the particular WPAR. A remote Kerberos server may be accessed in response to the request. The Kerberos server may be hosted in a private domain, and it may be used to authenticate access to the physical resource. The server may receive a valid ticket from the Kerberos server. The administrator may be granted access to the physical resources via access to the WPAR, based on the valid ticket and for the lifetime of the ticket.

Secure virtualized servers

Embodiments include systems, methods, and computer program products to perform an operation for managing system activities in a cloud computing environment. The operation generally includes determining a type of system activity to perform on one or more servers in the cloud computing environment. The operation also includes identifying a set of locking parameters available for restricting system activity on the one or more servers. Each locking parameter corresponds to a different type of system activity. The operation further includes determining whether to perform the type of system activity based on a value of a locking parameter of the set of locking parameters associated with the type of system activity.

System level update protection based on VM priority in a multi-tenant cloud environment

Disclosed aspects include managing a set of wear-leveling data for a set of compute nodes. A set of bus traffic data may be monitored with respect to a bus which is connected to a computer hardware component of the set of compute nodes. In response to monitoring the set of bus traffic, the set of wear-leveling data may be determined using the set of bus traffic. The wear-leveling data determined using the set of bus traffic may then be established in a data store. The wear leveling data may be used to manage asset placement with respect to a shared pool of configurable computing resources.

Managing a set of wear-leveling data using a set of bus traffic

Disclosed aspects include managing asset placement with respect to a shared pool of configurable computing resources. A set of wear-leveling data may be detected for a set of hosts of the shared pool of computing resources. Based on the wear-leveling data, a placement arrangement for the set of assets may be determined with respect to the set of hosts of the shared pool of configurable computing resources. The placement arrangement may be based on a lesser utilized hardware factor which indicates a lesser likelihood of a hardware error event. Based on the placement arrangement, the set of assets may be placed with respect to the set of hosts of the shared pool of configurable computing resources.

Managing asset placement using a set of wear leveling data

Embodiments relate to method and computer program products which prioritize the logical units in a subgroup. Thereafter, in case of abnormal operation of the process for copying the consistency group from primary storage to secondary storage, low priority logical units of the subgroups of the consistency group are not copied from primary storage to secondary storage.

Ordering logical units in a subgroup of a consistency group

A method which prioritizes the subgroups in a consistency group by usage and/or business process. Thereafter, in case of abnormal operation of the process for copying the consistency group from primary storage to secondary storage, only a portion of the subgroups of the consistency group are copied from primary storage to secondary storage.

Prioritizing subgroups in a consistency group

A method is provided for facilitating data replication in a storage system. A logical volume of a first storage array of a replicated pair is preconfigured with one or more logical volume attributes, which include a compressible configuration bit that indicates whether data blocks to be stored to that logical volume are compressible during replication. Subsequently, with receipt of a data block at the first storage array to be stored to the logical volume, a check of the compressible configuration bit is made to determine whether the data block is compressible during replication, and if so, the data block is compressed for replication. The compressible configuration bit is placed into the payload region of the data packet being replicated to the second storage array. At the second storage array, the compressible configuration bit is used to determine whether to uncompress the replicated data block.

Facilitating data compression during replication using a compressible configuration bit

Computer program product, system and method are provided for facilitating data replication in a storage system. A logical volume of a first storage array of a replicated pair is preconfigured with one or more logical volume attributes, which include a compressible configuration bit that indicates whether data blocks to be stored to that logical volume are compressible during replication. Subsequently, with receipt of a data block at the first storage array to be stored to the logical volume, a check of the compressible configuration bit is made to determine whether the data block is compressible during replication, and if so, the data block is compressed for replication. The compressible configuration bit is placed into the payload region of the data packet being replicated to the second storage array. At the second storage array, the compressible configuration bit is used to determine whether to uncompress the replicated data block.

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Pflugerville, TX, United States of America

Maria Rose Ward