Abstract: A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.

Abstract: A method, system, computer program product, and computer program storage device for transforming a high-level policy associated with a high layer to a low-level policy associated with a low layer. Mapping between high-level objects in a high layer and low-level objects in a low layer is derived by an automated discovery tool. The high-level policy is mapped to the low-level policy according to the mapping (e.g., by substituting the high-level objects with the low-level objects and by performing a syntax transformation). In one embodiment, a low-level policy is transformed to a high-level policy according to the mapping. As exemplary embodiments, policy transformations in traffic shaping and data retention are disclosed.

Abstract: A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.

Abstract: Workloads that are and are not appropriate for transformation and processing on a cloud computing environment are identified. A user entity is provided with a measurement of at least one of the value which will be realized, and the effort which will be required. A plurality of attributes are specified Input data represents the extent to which the user entity processing system possesses the given attribute. The input data for each attribute is employed to derive a corresponding numerical parameter value, which are to compute a final score.

Abstract: A method, computer program product, and system for managing tasks for a virtual machine are presented. An amount of resources to perform a task for the virtual machine are identified in response to receiving a request to perform the task for the virtual machine in a set of data processing systems. A set of resources in the set of data processing systems available to complete the task for the virtual machine are identified. A set of priorities for a set of phases of the task are identified. Operations are scheduled on the set of resources to perform the task for the virtual machine based on the set of priorities identified for the set of phases of the task.

Abstract: Techniques are described for scheduling received tasks in a data center in a manner that accounts for operating costs of the data center. Embodiments of the invention generally include comparing cost-saving methods of scheduling a task to the operating parameters of completing a task—e.g., a maximum amount of time allotted to complete a task. If the task can be scheduled to reduce operating costs (e.g., rescheduled to a time when power is cheaper) and still be performed within the operating parameters, then that cost-saving method is used to create a workload plan to implement the task. In another embodiment, several cost-saving methods are compared to determine the most profitable.

Abstract: A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.

Abstract: Goal-based availability and change management are handled over groups of heterogeneous storage controllers. Probabilistic and deterministic methods are employed to determine the allocation and placement of storage volumes to storage controllers, as well as the degree of data redundancy necessary to achieve data availability goals The probabilistic methods can take into account past observations of controller availability, and operator beliefs, as well as the state of storage controller configuration, in coming up with a probabilistic estimate of future availability.

Abstract: A system, method and computer program product for detecting and reacting to a network discrepancy within a data center network environment. The method comprises monitoring network traffic between a first computer configured as a first hypervisor inter-networked within the data center network environment and a second computer inter-networked within the data center network environment in order to detect a presence of a predetermined condition representing a presence of the network discrepancy in the data center network environment between a recorded state of the data center network environment and an observed state of the data center network environment. The monitoring includes determining the observed state of the data center network environment using one of: polling, event-based or a combination thereof.

Abstract: Techniques are disclosed for integration, provisioning and management of entities and processes in a computing system such as, by way of example only, business entities and business processes. In particular, techniques are disclosed for implementing an extensible support system for multiple service offerings. For example, such a support system can be a business support system which may be employed in conjunction with a cloud computing environment.

Abstract: Techniques are disclosed for integration, provisioning and management of entities and processes in a computing system such as, by way of example only, business entities and business processes. In particular, techniques are disclosed for ontology based resource provisioning and management for services. For example, such an ontology based approach can be utilized in conjunction with a business support system which may be employed in conjunction with a cloud computing environment.

Abstract: A method, apparatus, and computer program product for planning changes to network data processing systems. A number of processes performed in a current network data processing system and labor used to perform the number processes are identified. Resources in the current network data processing system used by the number of processes are identified. A first cost for labor used to perform the number of processes using the current network data processing system is calculated. A second cost for the resources in the current network data processing system is calculated. A first change in the first cost for labor in a new network data processing system based on a number of changes to the number of processes when the number of processes is performed in the new network data processing system is identified. A second change in the second cost for the resources in the new network data processing system is identified.

Abstract: A method and a system for relating of a value network analysis of a mission to a knowledge base of dependencies of data objects, applications and information technology resources required for achieving of such mission, such method used for optimization of provisioning for information technology resources and for prioritizing of control of data and application security and integrity of such mission.

Abstract: The present invention describes a method and system for discovering of server devices. The system and method receive a list of known server devices. The system and method obtain middleware configuration data and/or log files for each of the known server devices in the list. The system and method derives dependencies on at least one other server device from the middleware configuration data and/or log files. The system and method determines whether the at least one other server device is a new server device not included in the list. Thus, the system and method discovers the new server device upon determining that the at least one other server device is not included in the list.

Abstract: Embodiments of the invention are directed to a method and system for rapidly identifying workloads that are and are not appropriate for transformation and processing on a cloud computing environment. One embodiment comprises a method for providing a user entity with a measurement of at least one of the value which will be realized, and the effort which will be required, if a given workload selected from one or more workloads associated with a user entity is delivered to a cloud computing environment for processing thereby, instead of being processed by the user entity processing system. The method comprises specifying a plurality of attributes, wherein each attribute pertains to a characteristic that the user entity processing system possesses to some extent, with respect to the given workload.

Abstract: A methodology is presented for discovering and storing end-to-end associations between different types of entities in a system configuration model of a distributed middleware system. First associations are determined, at each distributed system tier, between instances of data and data-container configuration elements. Those first associations point to logical subdivision of a data service that is directly responsible for implementing an instance of data. Second associations are determined, at said each distributed system tier, between said data-container configuration elements and a server infrastructure. Said second associations point to a server infrastructure that hosts said data-container configuration elements. Third associations are composed, within said each distributed system tier, between said instances of data and said server infrastructure, using said first associations and said second associations.

Abstract: A method, system, and computer program product are disclosed for merging search results. In one embodiment, the method comprises identifying a query, splitting the query into sub-queries, and calculating information content for each of the sub-queries. This method also comprises executing each of the sub-queries to obtain a plurality of search results, and combining the search results based on the information content calculated for the sub-queries. In an embodiment, the execution of each of the sub-queries includes identifying a multitude of search results for at least one of the sub-queries; and the combining includes grouping said multitude of search results into a plurality of clusters, and computing a relevance score for each of said clusters. In the embodiment the combining further includes merging the clusters based on the relevance scores computed for the clusters as well as the information content calculated for the sub-queries.

Abstract: Method and system are disclosed for automatically discovering associations between applications and data in multi-tiered distributed systems. The method in one aspect uses a machine-readable specification of a model or template that describes use and transformation of data by software components. The method additionally utilizes a model of system configuration and appropriate runtime support to mine information available from systems management software present in enterprise systems. The application-data association discovery process performs a traversal of the distributed system configuration graph with actions taken during this traversal driven by the contents of the templates for the software components present in the system. The results of the application-data association discovery process are stored in a database and may be used to specify application-specific information lifecycle management (ILM) policy or as input to impact analysis tools in access control and antivirus systems.

Abstract: A method, system and computer program product are disclosed for searching for data. In one embodiment, the invention provides a method comprising identifying a query and a search scope including a set of specified entities; and for each of these entities, estimating a number of documents that would be identified in a search through the entity to answer the query. On the basis of this estimating, a subset of the entities is formed. The query and this subset of entities are sent to a search engine to search the subset of entities to answer the query. In one embodiment, the estimating includes collecting statistical information from queries to build up a historical cache using heuristics or machine learning techniques, wherein the query includes a key word and a scope, and the historical cache contains a maximum number of returned results for an entity given the queries executed.

Abstract: A method and system for discovering dependencies, configurations and utilizations among IT resources are disclosed. A discovery team writes a prediscovery script without requesting credentials and sends it to a system administrator (SA) who already has necessary credentials to execute the prediscovery script. Then, the SA reviews the prediscovery script and executes the prediscovery script on a target server. While or after executing the prediscovery script, the target server generates a result of an execution of the prediscovery script and provides the result to an analysis system. The analysis system analyzes and parses the result and generates a user-friendly data (e.g., graph or spreadsheet) that represents the result. Then, the analysis system provides the user-friendly data to the discovery team. The analysis system does not require credentials and does not directly communicate with the target server except receiving the result of the executed prediscovery script from the target server.