International Business Machines Corporation

Ajay Arvind Apte

Scott Christopher Moonen

Lin Sun

Roy Frank Brabson

Li Yi

Donald R Woods

Ping Chen

Jason Robert McGee

John Conrad Sanchez

Shu Chao Wan

Orvalle T Kirby, Iii

Hugh Edward Hockett

Yu Zhang

Aaron J Quirk

Bo Yang

Jing Min Xu

Fan Jing Meng

Chang Li

Zhao Liu

Tan Jiang

Srinivas Hasti

Ran Jiang

Joseph Paul Wigglesworth

William Mitchell Edwards

Jingrong Gao

Arvind Srinivasan

James Patrick Robbins

Kirti A Apte

Jianfeng Kong

Xue Jun Zhuo

Theodore O Kirby

Ying Liu

Ching-Yun Chao

Leigh Allen Williamson

David Yu Chang

John Yow-Chun Chang

Pu Jin

Ki Hong Park

John Y Chang

Yuhsuke Kaneyasu

Lewis Lo

Qinhua Wang

Kewei Sun

Hany A Salem

Leonardo A Uzcategui

Barbara J Vander Weele

Karalee Brown LeBlanc

Rohan Gandhi

Liane Elizabeth Acker

Liane Elizabeth Haynes Acker

Patrick L Davis

Truong-An Hoan Thai

Ankit Patel

Kin Ueng

Iqbal M Umair

Lavena Chan

Sreedhar Reddy Arda

Matthew D McClintock

Fanjing Meng

Jingmin Xu

Fong-Meng L L Chan

Brian Tsai

Christohper Lawrence Brealey

Determining a characteristic of a configuration file that is used to discover configuration files in a target machine, a computer identifies, using information associated with a configuration item of a machine, a candidate configuration file related to the configuration item of the machine, from among a plurality of files from the machine. The computer extracts a value of a feature of the candidate configuration file and aggregates the candidate configuration file with a second candidate configuration file related to the same configuration item identified from among a plurality of files from a second machine, based on the extracted value. The computer then determines a configuration file related to the configuration item from among the aggregated candidate configuration files based on a result of the aggregation, and determines a characteristic of the configuration file related to the configuration item.

Determining characteristics of configuration files

Automatically managing an entire life-cycle of a practice failover. The system uses a virtualization management system that hosts one or more business applications which has capability and authority to manage both the application hosting infrastructure as well as the storage infrastructure that is used by the applications in a disaster recovery configuration. The set of applications is replicated along with an application platform together with the applications.

Disaster recovery practice mode for application virtualization infrastructure

Components are dynamically associated in a multi-tier application to different layers of a corresponding multi-tier application infrastructure. This includes defining, in a memory of a host computing system, a pattern that has an inventory of components of a multi-tier application. Each of the components are associated with a corresponding tier label for an n-tier architecture and the pattern is loaded into a pattern engine. The pattern engine deploys each component of the pattern to a layer of the n-tier architecture corresponding to a tier label associated with the component.

Dynamic association of application workload tiers to infrastructure elements in a cloud computing environment

Embodiments of the present invention provide a method, system and computer program product for the dynamic association of components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure. In an embodiment of the invention, a method for dynamically associating components in a multi-tier application to different layers of a corresponding multi-tier application infrastructure includes defining in memory of a host computing system a pattern that has an inventory of components of a multi-tier application. The method also includes associating each of the components with a corresponding tier label for an n-tier architecture. The method yet further includes loading the pattern into a pattern engine. Finally, the method includes deploying by the pattern engine each component of the pattern to a layer of the n-tier architecture corresponding to a tier label associated with the component.

Embodiments of the invention provide a method, system and computer program product for the dynamic adjustment of a service level agreement (SLA) for a hosted computing environment based upon application capabilities. The method includes specifying in a user interface to the hosted computing environment one or more application components of an application to be hosted within the hosted computing environment. Thereafter, a resource utilization capability is determined for one of the components and a set of resource utilization options for an SLA for the application is filtered based upon the resource utilization capability of the component or components. One of the filtered set of options can be selected and the application is executed in the hosted computing environment. Finally, the utilization of resources accessible to the application is managed based upon the SLA during the execution of the application in the hosted computing environment.

Dynamic service level agreement (SLA) adjustment based upon application capabilities

Embodiments of the present disclosure dynamically generate solution stacks. In one embodiment, a request to deploy a service in a cloud computing environment is received. A service repository is queried for data that describes one or more requirements of the service. One or more prerequisite services are identified based, at least in part, on the requirements of the service. A solution stack model is dynamically generated from (i) a stack service model of the service and (ii) the one or more prerequisite services, wherein the solution stack model is based, at least in part, on the requirements of the service.

Dynamically generating solution stacks

A first management node of a first rack can be registered to a shared file storage system by establishing a mutual trust relationship between the first management node and the shared file storage system. The first management node can access a plurality of respective public keys and a plurality of respective certificates of authority that are stored in the shared file storage system and associated with a plurality of respective registered management nodes. The first management node can store a public key and a certificate of authority in the shared file storage system. The first management node can form mutual trust relationships with other registered management nodes. The first management node can validate authenticity of messages received from registered management nodes of the plurality of registered management nodes using a respective public key and a respective certificate of authority associated with a respective registered management node sending a message.

Trust relationship management amongst racks in a data center

A method for determining a range of files to be migrated is disclosed, comprising: comparing the source system environment to be migrated with a set of incremental target system environments, to discover the change files in each of the target system environments relative to the source system environment, wherein each target system environment in the set of incremental target system environments comprises software on which the migration target application depends, and the software contained in the different target system environments is incremental; classifying the change files into different change patterns according to the change types of the change files in each comparison and the different change types of the change files among multiple comparisons; and determining a range of files to be migrated according to the change pattern.

Method and apparatus for determining a range of files to be migrated

A method, system and computer program product for deploying a pattern. A placement engine of a hierarchical tier selects the region(s) of a next lower tier based on placement policies and constraints at the next lower tier and availability of the artifacts required by the virtual machine instance(s) in the next lower tier utilizing the summarization of resource usage and availability at the next lower tier. The placement engine at the lowest tier selects the compute node(s) in the selected region(s) of the lowest tier to place the virtual machine instances of the pattern based on placement policies and constraints at the compute node level and availability of the artifacts required by the virtual machine instance(s) of the pattern in the compute node level. In this manner, the virtual machine instances of the pattern can be effectively deployed when the resources of the cloud environment are large and geographically dispersed.

Deploying virtual machine instances of a pattern to regions of a hierarchical tier using placement policies and constraints

Growing community of inventors

Austin, TX, United States of America

Ajay Arvind Apte