Abstract: The present disclosure includes a system and method for apportioning power consumption. In an example of apportioning power consumption according to the present disclosure, a transaction mix for a service is determined (104, 204, 330, 420), component resource usage for each of a number of components that are used while completing the service is determined (106, 206, 108, 208, 422), and component power consumption for each of the number of components is determined by use of the component resource usage (334, 424).

Abstract: Overlay networks of application components are managed. Applicant components may create overlay networks based on policies of the application components and an environment of the overlay network. The overlay network may be adjusted based on changes to the policies or the environment.

Abstract: Contention for shared resources in a shared resource environment may be determined based on measurements from a probe running in the shared resource environment. The measurements can be compared to benchmarks, and a contention value may be determined based on the comparison.

Abstract: Examples herein involve managing overlay networks of application components. In examples herein, application components may create overlay networks based on policies of the application components and an environment of the overlay network. The overlay network may be adjusted based on changes to the policies or the environment.

Abstract: Examples relate to distributed anomaly management. In one example, a computing device may: receive real-time anomaly data for a first set of client devices, wherein the received anomaly data includes: anomalous network behavior data received from a network intrusion detection system (NICKS) monitoring network traffic behavior, anomalous host event data received from a host intrusion detection system (HIDS) monitoring host events originating from client devices in the first set, and anomalous process activity data received from a trace intrusion detection system (TIDS) monitoring process activity performed by client devices in the first set; for each client device in the first set of client devices for which anomaly data is received, associate the received anomaly data with the client device; and determine, for a particular client device, a measure of risk, wherein the measure of risk is dynamically adjusted based on the received real-time anomaly data.

Abstract: Detecting similarity in a structured dataset is disclosed. One example is a system including a converter, and an evaluator. A structured dataset is received via a processing system, the dataset including a plurality of objects, each object of the plurality of objects associated with a category, and each category associated with an object label. The converter converts, for each object of the plurality of objects, the object label into a semantic term, The evaluator determines, via the processing system, a term similarity for a pair of object labels in a given category, the term similarity indicative of a correlation between the respective semantic terms in the given category.

Abstract: Example methods, apparatus and articles of manufacture to migrate virtual machines are disclosed. A disclosed example method includes identifying via a processor a first virtual machine to be migrated from a first host to a second host to improve a performance of the first virtual machine, determining that a frequency threshold associated with the first virtual machine will not be exceeded if the first virtual machine is migrated, determining a reliability rating for the first virtual machine, and migrating the first virtual machine to the second host based on the frequency threshold and the reliability rating.

Abstract: A search engine receives a search trigger for a task. In response to identifying data that is responsive to the search trigger, a notification of the identified data is sent to the task, to cause the task to process the identified data. The search engine receives a notification of result data produced by the task based on the processing of the identified data.

Abstract: Methods, apparatus, and computer readable media with executable instructions stored thereon for virtual machine placement are provided. A user's demands on execution of a number of tasks, each task including a demand trace, can be defined as Service Level Agreement (SLA) information, including one or more Class of Service (CoS) levels defined by a Base Resource Entitlement (BRE) criteria and a Reserved Resource Entitlement (RRE) criteria (222). A highest CoS level of the one or more CoS levels can be selected (224) and the tasks within the Cos level can be load-balanced across a pool of servers (226). At least a portion of the RRE criteria can be removed from the demand trace of the selected CoS level (228). The selecting, load-balancing, and removing steps can be repeated until there are no more CoS levels (230).

Abstract: The present disclosure includes a system and method for a service recommendation service. A method for a service recommendation service includes determining one or more queries that do not expose additional data items stored in a data source of a participant in a collaborative information system than are exposed by queries already implemented on the participant's data source. Query services that are not authorized to involve the data source, but which use the determined one or more queries are identified. The identified query services are recommended to the participant.

Abstract: In a computer-implemented method for automated test execution in a shared virtualized resource pool, a test description containing at least one model for a service under test (SUT) is received and one or more infrastructure configurations to be tested by resources in the shared virtualized resource pool based upon the test description are identified. In addition, a service lifecycle management (SLiM) tool is interacted with to cause the SUT and a load source to be created, the SLiM tool is directed to instantiate the SUT and the load source on the one or more infrastructure configurations in the shared virtualized resource pool for the SUT, and the SLiM tool and the load source are interacted with to receive performance data related to performance of the SUT under one or more loads generated by the load source.

Abstract: According to an example, a visual call apparatus is described for providing a health care service to a user. The apparatus includes a memory storing machine readable instructions to receive input related to a health related status of a user. The machine readable instructions analyze the health related status of the user to select options, from a plurality of available options, to provide services to the user. The user is to actuate one of the selected options to receive a service related to the actuated option. The machine readable instructions further output the selected options to allow the user to actuate one of the selected options, and upon actuation of one of the selected options, provide feedback to the user related to completion of the service related to the actuated option. The apparatus includes a processor to implement the machine readable instructions.

Abstract: Contention for shared resources in a shared resource environment may be determined based on measurements from a probe running in the shared resource environment. The measurements can be compared to benchmarks, and a contention value may be determined based on the comparison.

Abstract: A system comprises a workload manager evaluator operable to receive a representative workload that is representative of competing workloads that share access to at least one shared computing resource. The workload manager evaluator is operable to evaluate performance of a scheduler that schedules access of the competing workloads to the shared computing resource according to defined control parameter values, wherein the workload manager evaluator evaluates performance of the scheduler under the representative workload for a plurality of different values of the control parameters. In certain embodiments, the workload manager evaluator determines an optimal value for the control parameters of the scheduler for scheduling access to the at least one shared computing resource for the representative workload to satisfy defined performance desires of the system.

Abstract: The present disclosure includes a system and method for a serialized data service. A method for a serialized data service includes retrieving serialized data to a data service, and augmenting the serialized data with information corresponding to one or more data retention policies. The augmented serialized data is stored to a data source. The augmented serialized data is removed from the data source based on the augmented information.

Abstract: A capacity planning system (100, 200), comprising a memory device (112, 212) storing a number of historical input data files (115, 215), a number of input data configuration files (120, 220), and a number of simulator configuration files (125, 225), a processor (130, 230) communicatively coupled to the memory device (112, 212), a decision policy module (110, 210) communicatively coupled to the processor (130, 230) that creates a number of decision policies based on an environment in which the system (100, 200) is operating and the historical input data files (115, 215), and a simulator (135, 235) that executes the number of decision policies based on the data provided to it by the processor (130, 230) and provides a dynamically evolving model of an environment as a number of resources defined in the number of simulator configuration files (125, 225) move through the environment.

Abstract: Examples of the present disclosure may include methods, systems, and computer readable media with executable instructions. An example method for providing a patient information interface can include accessing patient health record (PHR) information for a particular patient, and referencing medical care guideline information. A medical process associated with the particular patient is determined based on the PHR information and medical care guideline information, and context information associated with the particular patient and/or a healthcare system is received in a medical process-aware manner to a context model implemented on a computing system, including clinical, logistical and operational information. Context aware information is presented, via an output device of the computing system based on the determined medical process and context information.

Abstract: A proximity table is generated for a first of a group of hosts for one or more computer workloads. Workloads are assigned to the host by applying proximity rules to the proximity table. The generating of proximity tables and the assignment of workloads is iterated for other hosts until all workloads have been assigned. Once all workloads have been assigned, an opportunity estimate is calculated.

Abstract: A system includes a patient environment in an area, a first accelerometer attached to the first patient environment, a second accelerometer disposed in the area, and a processing system to detect an activity of a patient in the area using vibration data received from the first and the second accelerometers.

Abstract: At least one embodiment is for a method for estimating resource costs required to process an workload to be completed using at least two different cloud computing models. Historical trace data of at least one completed workload that is similar to the workload to be completed is received by the computer. The processing of the completed workload is simulated using a t-shirt cloud computing model and a time-sharing model. The t-shirt and time-sharing resource costs are estimated based on their respective simulations. The t-shirt and resource costs are then compared.