Abstract: There is disclosed methods, systems and computer program products for purging stored data in a repository. Users attach relative importance to all data samples across all timeseries in a repository. The importance attached to a data sample is the ‘utility value’ of the data sample. An algorithm uses the utility of data samples and allocates the storage space of the repository in such a way that the total loss of information due to purging is minimized while preserving samples with a high utility value.

Abstract: A plurality of application profiles are obtained, for a plurality of applications. Each of the profiles specifies a list of resources, and requirements for each of the resources, associated with a corresponding one of the applications. Specification of a plurality of constraints associated with the applications is facilitated, as is obtaining a plurality of cost models associated with at least two different kinds of servers on which the applications are to run. A recommended server configuration is generated for running the applications, by formulating and solving a bin packing problem. Each of the at least two different kinds of servers is treated as a bin of a different size, based on its capacity, and has an acquisition cost associated therewith. The size is substantially equal to a corresponding one of the resource requirement as given by a corresponding one of the application profiles. Each of the applications is treated as an item, with an associated size, to be packed into the bins.

Abstract: A plurality of application profiles are obtained, for a plurality of applications. Each of the profiles specifies a list of resources, and requirements for each of the resources, associated with a corresponding one of the applications. Specification of a plurality of constraints associated with the applications is facilitated, as is obtaining a plurality of cost models associated with at least two different kinds of servers on which the applications are to run. A recommended server configuration is generated for running the applications, by formulating and solving a bin packing problem. Each of the at least two different kinds of servers is treated as a bin of a different size, based on its capacity, and has an acquisition cost associated therewith. The size is substantially equal to a corresponding one of the resource requirement as given by a corresponding one of the application profiles. Each of the applications is treated as an item, with an associated size, to be packed into the bins.

Abstract: Disclosed is a management system of a managed system. The management system includes a data sensor layer that interfaces with the managed system to collect raw data. The data sensors in the data sensor layer add semantic tags to the raw data to form tagged data. The semantic tags are maintained throughout the life cycle of the tagged data. The management system further includes a core engine for processing the tagged data based on the semantics tags.

Abstract: Techniques for dynamically selecting a server state for one or more servers in a cluster of servers are provided. The techniques include tracking each active and sleep state of each server in a cluster of servers, and selecting a server state for one or more servers in the cluster of servers to meet one or more workload level requirements of the cluster of servers, wherein selecting a server state for one or more servers comprises scheduling a transition between one or more active and sleep states for the one or more servers, wherein scheduling the transition comprises using power consumption information for each state and transition time information for each transition.

Abstract: Techniques for placing at least one composite application in a federated environment are provided. The techniques include analyzing a composite application to be deployed in a federated environment, obtaining one or more application artifacts, analyzing feasibility of placing one or more application components at one or more clusters in the federated environment without knowledge of resource availability at each of the one or more clusters, and generating a mapping of the one or more application components to the one or more clusters such that an application requirement is met, wherein the one or more application artifacts are distributed across a federated environment.

Abstract: A method is disclosed for facilitating visualisation of status data in an electronic system. The status data comprises metadata including a plurality of information context categories. The status data also comprises data nodes, each data node including specific instances of a respective context category. The method starts with selecting possible data combinations and permutations of the information context categories, each permutation defining a respective hierarchy. For each permutation, information content of data for each node of the respective hierarchy is estimated and an informative tree and total entropy for all informative nodes are found. The permutation and the informative tree that has the lowest total entropy are then presented to the user.

Abstract: N applications are placed on M virtualized servers having power management capability. A time horizon is divided into a plurality of time windows, and, for each given one of the windows, a placement of the N applications is computed, taking into account power cost, migration cost, and performance benefit. The migration cost refers to cost to migrate from a first virtualized server to a second virtualized server for the given one of the windows. The N applications are placed onto the M virtualized servers, for each of the plurality of time windows, in accordance with the placement computed in the computing step for each of the windows.

Abstract: A problem determination system and method reduces the time and effort required by system administrators to trouble shot transaction processing difficulties in a large distributed I/T environment by monitoring system component performance and computing operational performance threshold limits based on dependency graphs for the system. Using this data, a prioritized list of suspect components for the I/T system is generated.

Abstract: A system and method for managing dynamically allocated resources assigned to a service includes providing a service to be used by a plurality of sites in a federation. Usage information associated with the service is communicated to each of the plurality of sites. A disposition of the service is determined based on local policies and the usage information received from other sites by a service owner. The disposition of the service is updated across a plurality of sites in accordance with messages sent by the service owner to reduce resource usage.

Abstract: Techniques are disclosed for providing mapping of application components to a set of resources in a distributed environment using capacity driven provisioning using a layered approach. By way of example, a method for allocating resources to an application comprises the following steps. A first data structure is obtained representing a post order traversal of a dependency graph for the application and associated containers with capacity requirements. A second data structure is obtained representing a set of resources, and associated with each resource is a tuple representing available capacity. A mapping of the dependency graph data structure to the resource set is generated based on the available capacity such that resources of the set of resources are allocated to the application.

Abstract: Techniques for visualizing monitoring data are provided. The techniques include generating at least one context from the monitoring data based on a user-provided schema definition, mapping the data from a high dimensional space to a lower dimensional subspace using a topology preserving mapping, organizing the mapped data into a three-dimensional space to allow dynamic selection of a context resolution level across a hierarchy of the at least one context, using the mapped data to identify at least one trend in the data, wherein identifying the at least one trend comprises observing one or more changes over time in one or more activation patterns for each of the at least one context, and visualizing the at least one quantified trend in the data.

Abstract: Techniques for placing at least one composite application in a federated environment are provided. The techniques include analyzing a composite application to be deployed in a federated environment, obtaining one or more application artifacts, analyzing feasibility of placing one or more application components at one or more clusters in the federated environment without knowledge of resource availability at each of the one or more clusters, and generating a mapping of the one or more application components to the one or more clusters such that an application requirement is met, wherein the one or more application artifacts are distributed across a federated environment.

Abstract: A plurality of application profiles are obtained, for a plurality of applications. Each of the profiles specifies a list of resources, and requirements for each of the resources, associated with a corresponding one of the applications. Specification of a plurality of constraints associated with the applications is facilitated, as is obtaining a plurality of cost models associated with at least two different kinds of servers on which the applications are to run. A recommended server configuration is generated for running the applications, by formulating and solving a bin packing problem. Each of the at least two different kinds of servers is treated as a bin of a different size, based on its capacity, and has an acquisition cost associated therewith. The size is substantially equal to a corresponding one of the resource requirement as given by a corresponding one of the application profiles. Each of the applications is treated as an item, with an associated size, to be packed into the bins.

Abstract: A method is disclosed for facilitating visualisation of status data in an electronic system. The status data comprises metadata including a plurality of information context categories. The status data also comprises data nodes, each data node including specific instances of a respective context category. The method starts with selecting possible data combinations and permutations of the information context categories, each permutation defining a respective hierarchy. For each permutation, information content of data for each node of the respective hierarchy is estimated and an informative tree and total entropy for all informative nodes are found. The permutation and the informative tree that has the lowest total entropy are then presented to the user.

Abstract: A problem determination system and method reduces the time and effort required by system administrators to trouble shot transaction processing difficulties in a large distributed I/T environment by monitoring system component performance and computing operational performance threshold limits based on dependency graphs for the system. Using this data, a prioritized list of suspect components for the I/T system is generated.

Abstract: A problem determination system and method reduces the time and effort required by system administrators to trouble shot transaction processing difficulties in a large distributed I/T environment by monitoring system component performance and computing operational performance threshold limits based on dependency graphs for the system. Using this data, a prioritized list of suspect components for the I/T system is generated.

Abstract: Described are methods, apparatus and computer programs for determining run-time dependencies between logical components of a data processing environment. Components of the data processing environment are monitored by monitoring agents accessing run-time activity data via APIs of the managed system. A dependency generator identifies correlations between the run-time activity of the monitored components. For synchronous monitored systems, the dependency generator calculates an activity period for monitored components and determines which component's activity periods contain the activity periods of other components. Containment is used as an indicator of a likely dependency relationship, and a weighting is computed for each dependency relationship based on the consistency of containment.

Abstract: A method of identifying at least one resource in a distributed computing system which is a potential root cause of performance degradation of the system includes the steps of: computing operational bounds for the system and operational bounds for at least one resource in the system; comparing current end-to-end system performance with the operational bounds for the system; when the current end-to-end system performance is outside of the operational bounds for the system, comparing current performance of the at least one resource in the system with the operational bounds for the at least one resource; and generating at least one output identifying the at least one resource in the system which is a potential root cause of performance degradation of the system.

Abstract: Described are methods, apparatus and computer programs for determining run-time dependencies between logical components of a data processing environment. Components of the data processing environment are monitored by monitoring agents accessing run-time activity data via APIs of the managed system. A dependency generator identifies correlations between the run-time activity of the monitored components. For synchronous monitored systems, the dependency generator calculates an activity period for monitored components and determines which component's activity periods contain the activity periods of other components. Containment is used as an indicator of a likely dependency relationship, and a weighting is computed for each dependnecy relationship based on the consistency of containment.