Abstract: An approach is provided in which a system displays a user interface that includes cloud environment configuration parameters on a display. Each of the cloud environment configuration parameters is selectable by a user and corresponds to a new cloud environment. The system receives a set of user selections from the user that selects at least one of the cloud environment configuration parameters. Then, the system generates a recommended cloud profile based, at least in part, on the set of user selections, and configures the new cloud environment based on the recommended cloud profile.

Abstract: 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.

Abstract: An approach is provided in which an information handling system receives a scaling request corresponding to an application that includes multiple workloads executing on a first cloud environment and a second cloud environment. The first cloud environment is managed by a first service provider and the second cloud environment is managed by a second service provider. The information handling system evaluates the scaling request against a first set of policies corresponding to the first service provider and against a second set of policies corresponding to the second service provider. In turn, the information handling system scales, in response to the evaluating, one or more first resources on the first cloud environment and one or more second resources on the second cloud environment to fulfill the scaling request.

Abstract: A method, executed by a computer, for deploying a virtual system includes collecting requirements for a computing system from a user, determining a component pattern corresponding to the user requirements, enabling a user to edit the component pattern, presenting the component pattern on a deployment design grid, and deploying a virtual system corresponding to the component pattern. The component pattern may correspond to one or more components and associated attributes, as well as a distribution for the components. In one embodiment, enabling a user to edit the component pattern includes reserving system resources for the components such that the system resources are available to the components at runtime. A computer system and computer program product corresponding to the method are also disclosed herein.

Abstract: A method is provided for building patterns with high level pattern topology requirements for deployment across multiple systems. The patterns are built based on pattern capabilities and configurations of the multiple systems. Such patterns can meet the desired pattern capabilities including high availability and/or continuous capabilities.

Abstract: An approach is provided in which an information handling system receives a scaling request corresponding to an application that includes multiple workloads executing on a first cloud environment and a second cloud environment. The first cloud environment is managed by a first service provider and the second cloud environment is managed by a second service provider. The information handling system evaluates the scaling request against a first set of policies corresponding to the first service provider and against a second set of policies corresponding to the second service provider. In turn, the information handling system scales, in response to the evaluating, one or more first resources on the first cloud environment and one or more second resources on the second cloud environment to fulfill the scaling request.

Abstract: In one aspect, a computer-implemented method for compressing content based on a social factor, an environmental factor, and a relational factor is described. The method may include monitoring access to the content, forming, by a processor, a contextual evaluation based on the monitored access and determining an importance of the content based on the contextual evaluation. The method may further include storing the content in a compressed form, where the compressed form is selected based on the importance.

Abstract: An approach is provided in which a system receives a set of cloud requirements corresponding to a cloud environment and analyzes the set of cloud requirements using a set of machine logic based rules to generate a recommended cloud profile that is based, at least in part, on the set of cloud requirements and includes configuration setting values. In turn, the system configures configurable parameters of the cloud environment according to the configuration setting values of the recommended cloud profile.

Abstract: An approach is provided in which a system displays a user interface that includes cloud environment configuration parameters on a display. Each of the cloud environment configuration parameters is selectable by a user and corresponds to a new cloud environment. The system receives a set of user selections from the user that selects at least one of the cloud environment configuration parameters. Then, the system generates a recommended cloud profile based, at least in part, on the set of user selections, and configures the new cloud environment based on the recommended cloud profile.

Abstract: A method, system and computer program product for managing pattern contents across multiple racks. The workload usage characteristics of the pattern contents on a primary rack in a domain of racks are collected based on monitoring the workload usage of the pattern contents in the pattern definition and in the deployed pattern. Furthermore, information regarding use of the pattern definition, the deployed pattern and the pattern contents by users (“human interaction usage patterns”) is collected based on monitoring the human interaction usage patterns. The pattern contents are then ranked based on analyzing the collected workload usage characteristics and analyzing the collected information regarding human interaction usage patterns. Once the pattern contents are ranked, those contents that are highly ranked are deemed to be more likely to be utilized in the pattern and therefore are the contents that are copied from the primary rack to the other racks of the domain.

Abstract: Specific example debugging sessions are used to generate a generic decision tree (flow diagram) for use in future debugging sessions. Debug metadata is recorded for each debugging session. The debug metadata includes log file accesses and key traces. A generic decision tree is generated for use in future debugging sessions. Each file accessed by a developer during debug sessions creates a node in the generic decision tree. Branches of the decision tree are created between the nodes by aggregating the plurality of debug sessions together based on similarities and differences among the file accesses and results for the various debug sessions. The recorded metadata is genericized by identifying specific actions taken by developers and specific results thereof. The actions and results are abstracted to create more general types of actions and results such that the generic decision tree is applicable to a wider variety of problems in the software program.

Abstract: A method, system and computer program product for managing pattern contents across multiple racks. The workload usage characteristics of the pattern contents on a primary rack in a domain of racks are collected based on monitoring the workload usage of the pattern contents in the pattern definition and in the deployed pattern. Furthermore, information regarding use of the pattern definition, the deployed pattern and the pattern contents by users (“human interaction usage patterns”) is collected based on monitoring the human interaction usage patterns. The pattern contents are then ranked based on analyzing the collected workload usage characteristics and analyzing the collected information regarding human interaction usage patterns. Once the pattern contents are ranked, those contents that are highly ranked are deemed to be more likely to be utilized in the pattern and therefore are the contents that are copied from the primary rack to the other racks of the domain.

Abstract: 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.

Abstract: An approach is provided in which a system receives a set of cloud requirements corresponding to a cloud environment and analyzes the set of cloud requirements using a set of machine logic based rules to generate a recommended cloud profile that is based, at least in part, on the set of cloud requirements and includes configuration setting values. In turn, the system configures configurable parameters of the cloud environment according to the configuration setting values of the recommended cloud profile.

Abstract: 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.

Abstract: An adaptive multimedia system includes a display, an audio device, and an adaptive media controller configured to selectively communicate with a media source and selectively signal the media source to stream only a desired portion of a media stream.

Abstract: A method is provided for building patterns with high level pattern topology requirements for deployment across multiple systems. The patterns are built based on pattern capabilities and configurations of the multiple systems. Such patterns can meet the desired pattern capabilities including high availability and/or continuous capabilities.

Abstract: A method is provided for designing and optimizing a pattern by considering heterogeneous cloud environments. Building blocks within the pattern can be deployed into different cloud environments and different cloud providers, depending on where the pattern fits users need best. Further, building block configuration within the pattern can be optimized by target environments, along with runtime bursting among multiple environments.

Abstract: 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.

Abstract: Aspects relate to managing tie-breaking in a multi-node cluster. Methods and systems include detecting, by a first node of the multi-node cluster, that a private network connected to a second node of the multi-node cluster has failed, the first node configured to provide service to a client and access a quorum disk of the multi-node cluster. The first node then communicates with an external point and determines whether the external point is successfully communicated with. The first node determines if a time delay should be imposed, waits for any determined time delay, and attempts to reserve the quorum disk. The first node then verifies it has reserved the quorum disk and obtains operational quorum when the quorum disk is reserved by the first node.