Abstract: Providing an end-to-end citizen engagement, in one aspect, may comprise obtaining data of multiple disintegrated sources from one or more of communication and social computing channels via one or more adapters. Data refactoring and management, integration and process orchestration of the data according to a data model as data attributes of the data model may be provided. One or more analytics may be performed based on the data attributes stored according to the data model and input specified to the one or more analytics. One or more results computed by performing the one or more analytics may be provided. One or more application logics supporting one or more front-end applications may be produced. One or more front-end applications for automated sensing of user activities and sensor-based personal assistant capability may be provided.

Abstract: Techniques for enabling monitoring across one or more domains are provided. The techniques include identifying information technology resources across one or more domains, collecting information technology dependency information relating to the information technology resources identified across one or more domains, collecting monitoring data from the information technology resources identified across one or more domains, and using the dependency information to aggregate the monitoring data into one or more pre-determined metrics.

Abstract: A system and computer program product for enabling monitoring across one or more domains include identifying information technology resources across one or more domains, collecting information technology dependency information relating to the information technology resources identified across one or more domains, collecting monitoring data from the information technology resources identified across one or more domains, and using the dependency information to aggregate the monitoring data into one or more pre-determined metrics.

Abstract: Detecting appliance in a building, in one aspect, may comprise receiving meter data associated with energy consumption, the meter data comprising at least energy consumption data associated with usage of the appliance, receiving customer data associated with the meter data, extracting features for training a model for detecting the appliance, based on at least the meter data and the customer data, and constructing the model based on the features.

Abstract: A system and method for monitoring liveliness includes a management device which has an application layer where applications are executed. A connection monitor is located other than on the application layer, and the connection monitor is configured to receive requests from clients and deliver the requests to components on the application layer. The components include a generic application monitor which responds to liveliness monitor requests from the clients for all applications monitored, and one or more applications which response to requests to that application.

Abstract: In an illustrative embodiment, a computing system comprises a first computer coupled to one or more additional computers. Each of the one or more additional computers manages a respective set of one or more virtualized computing resources. The first computer manages the one or more additional computers.

Abstract: Providing an end-to-end citizen engagement, in one aspect, may comprise obtaining data of multiple disintegrated sources from one or more of communication and social computing channels via one or more adapters. Data refactoring and management, integration and process orchestration of the data according to a data model as data attributes of the data model may be provided. One or more analytics may be performed based on the data attributes stored according to the data model and input specified to the one or more analytics. One or more results computed by performing the one or more analytics may be provided. One or more application logics supporting one or more front-end applications may be produced. One or more front-end applications for automated sensing of user activities and sensor-based personal assistant capability may be provided.

Abstract: In an illustrative embodiment, a computing system comprises a first computer coupled to one or more additional computers. Each of the one or more additional computers manages a respective set of one or more virtualized computing resources. The first computer manages the one or more additional computers.

Abstract: Enabling remote debugging of virtual machines, in one aspect, may comprise attaching a debug virtual machine to a target virtual machine deployed in a virtualized environment. Interactions and/or access to the target virtual machine may be performed via the attached debug virtual machine. The debug virtual machine may be created and attached to the target virtual machine in response to receiving a request to debug the target machine, for example, from a remote user of the target virtual machine.

Abstract: Enhanced personalized advertisements may be provided through media such as IPTV, for example, by analyzing data such as subscribers' mobility data (calling and movement data), television (TV) watching history, online browsing data (e.g., Internet, web site browsing), and subscribers' historical purchasing transactions. With the analysis, subscribers' contexts, any information that reflects subscribers' interests and activities, and intents, tendency to buy certain products, items, services, and/or travel to some locations may be inferred.

Abstract: Utility meter readings generated at low sampling rates are disaggregated to identify consumer usage activities. Time intervals between readings can include a plurality of consumer usage activities. By employing a model which recognizes associations among consumer usage activities, effective disaggregation is possible using only aggregated consumption data and interval start times. Consumers and utility managers can design and assess conservation programs based on the disaggregated consumption usage activities.

Abstract: Techniques for security-aware admission control of requests in a distributed system. A method includes identifying a request dropped by a first application component in a distributed system, determining one or more actions to take with respect to the dropped request, said determining comprises identifying one or more policies of the first application component responsible for the dropped request and identifying one or more additional application components in the distributed system to be affected based on the identified one or more policies, and executing said one or more actions to control admission of one or more requests associated with the dropped request at the one or more additional application components.

Abstract: Systems and articles of manufacture for security-aware admission control of requests in a distributed system include identifying a request dropped by a first application component in a distributed system, determining one or more actions to take with respect to the dropped request, said determining comprises identifying one or more policies of the first application component responsible for the dropped request and identifying one or more additional application components in the distributed system to be affected based on the identified one or more policies, and executing said one or more actions to control admission of one or more requests associated with the dropped request at the one or more additional application components.

Abstract: A computer program product includes a tangible storage medium readable by a processing circuit and on which instructions are stored for execution by the processing circuit for performing a method. The method includes, upon receiving utility consumption data of a group of elements, defining clusters of elements by like geography and like utility consumption, evaluating a significance of each cluster by comparing an average utility consumption within the cluster with utility consumption of elements neighboring the cluster and determining from a result of the evaluating which clusters exhibit significant differences in utility consumption from the neighboring elements and defining those clusters as regional outliers.

Abstract: A system, method and program product for siting charging stations. A mobility detection module collects traffic data from vehicle sensors distributed in an area. A map matching module maps detected traffic in the area. A vehicle flow module temporally characterizes mapped traffic flow. An electric vehicle (EV) requirements (EVR) evaluator determines an optimal number of charging stations and respective locations for siting the charging stations.

Abstract: A system, method and program product for siting charging stations. A mobility detection module collects traffic data from vehicle sensors distributed in an area. A map matching module maps detected traffic in the area. A vehicle flow module temporally characterizes mapped traffic flow. An electric vehicle (EV) requirements (EVR) evaluator determines an optimal number of charging stations and respective locations for siting the charging stations.

Abstract: A method, system and computer program product are disclosed for analyzing a specified trust metric of survey responses obtained in a campaign. In one embodiment, the method comprises parsing requirements and goals of the campaign to identify campaign specifics; mapping one or more of the identified campaign specifics to a trust metric calculation rule, the trust metric calculation rule including an algorithm for computing a value for the specified trust metric. The method further comprises using the trust metric calculation rule and one or more of the identified campaign specifics to filter a set of potential input attributes to select therefrom a subset of input attributes; obtaining data values for the subset of input attributes; and using the algorithm of the trust metric calculation rule and the obtained data values for the subset of input attributes to compute the value for the specified trust metric.

Abstract: Systems and articles of manufacture for improving virtual machine-to-image affinity on a physical server include identifying physical machines in a network as candidate source physical machines, wherein each candidate source physical machine stores a first virtual machine image and a set of additional virtual machine images, identifying physical machines in the network as candidate target physical machines, wherein each candidate target physical machine stores one of the additional virtual machine images, and selecting a virtual machine image from the set of additional virtual machine images and selecting a physical machine from the candidate target physical machines such that migrating the selected virtual machine image from a candidate source physical machine to the selected target physical machine results in a maximized image affinity per virtual machine in comparison to each image migration scenarios for the set of additional virtual machine images.

Abstract: Enabling remote debugging of virtual machines, in one aspect, may comprise attaching a debug virtual machine to a target virtual machine deployed in a virtualized environment. Interactions and/or access to the target virtual machine may be performed via the attached debug virtual machine. The debug virtual machine may be created and attached to the target virtual machine in response to receiving a request to debug the target machine, for example, from a remote user of the target virtual machine.

Abstract: Techniques for improving virtual machine-to-image affinity on a physical server. A method includes identifying physical machines in a network as candidate source physical machines, wherein each candidate source physical machine stores a first virtual machine image and a set of additional virtual machine images, identifying physical machines in the network as candidate target physical machines, wherein each candidate target physical machine stores one of the additional virtual machine images, and selecting a virtual machine image from the set of additional virtual machine images and selecting a physical machine from the candidate target physical machines such that migrating the selected virtual machine image from a candidate source physical machine to the selected target physical machine results in a maximized image affinity per virtual machine in comparison to each image migration scenarios for the set of additional virtual machine images.