Abstract: Methods, systems, and computer program products for dynamic transportation pooling are provided herein. A computer-implemented method includes determining vehicle-sharing user preferences attributed to each of multiple users; identifying vehicle-sharing opportunities involving two or more of the users riding in two or more vehicles, wherein each of the identified vehicle-sharing opportunities comprises (i) a location wherein at least one of the users exits a first of the vehicles and enters a second of the vehicles, wherein the location comprises a vehicle demand that exceeds a pre-determined threshold, and (ii) a temporal range until the vehicles will reach the location, and wherein said identifying is based on the vehicle-sharing user preferences attributed to each of the users, the current location of each of the vehicles, the destination of each of the vehicles, and traffic information; and outputting each of the vehicle-sharing opportunities to a mobile device of each of the users.

Abstract: A method and associated systems for ensuring resilience of a business function manages resource availability for projects that perform mission-critical tasks for the business function. The method and systems create a model that reveals dependencies among types of resources needed by a project, such that the model describes how the unavailability of one instance of a resource propagates disruptions to other instances of the same type of resource. This model automatically identifies a resource type as being critical if a disruption of an instance of the resource type would render a project task infeasible, and if restoring that task would incur unacceptable cost. The model may also automatically identify a first resource type as being critical for a second resource type when disruption of the first resource type reduces the available capacity of the second resource type to an unacceptable level.

Abstract: A method and associated systems for ensuring resilience of a business function manages resource availability for projects that perform mission-critical tasks for the business function. The method and systems create a model that reveals dependencies among types of resources needed by a project, such that the model describes how the unavailability of one instance of a resource propagates disruptions to other instances of the same type of resource. This model automatically identifies a resource type as being critical if a disruption of an instance of the resource type would render a project task infeasible, and if restoring that task would incur unacceptable cost. The model may also automatically identify a first resource type as being critical for a second resource type when disruption of the first resource type reduces the available capacity of the second resource type to an unacceptable level.

Abstract: A method and associated systems for automatically identifying critical resources in an organization. An organization creates a model of the dependencies between pairs of resource types, wherein that model describes how the organization's projects and services are affected when a resource type becomes unavailable. This model may include a system of directed graphs. This model may be used to automatically identify a resource type as critical if unacceptable cost is incurred by resuming projects and services rendered infeasible when the resource type is disrupted. The model may also be used to automatically identify a first resource type as critical for a second resource type when disruption of the first resource type forces the available capacity of the second resource type to fall below a threshold value.

Abstract: A description of a resource associated with a service of an entity can be captured. The service can be associated with one or more resources, a constraint, and a demand. The resource can be associated with one or more characteristics including a utility, a limited availability, and a consumption rate. The entity can be an organization or a system. An initial allocation problem associated with the resource can be formulated as a two phase problem. The first phase can be an optimization problem and the second phase can be a restricted allocation problem. The initial allocation problem can be associated with reconfiguring a previously established allocation of a baseline scenario. The optimization problem can be solved optimally or approximately to establish a favorable allocation. The favorable allocation can minimizes the reconfiguration cost of the reconfiguring. The baseline scenario can be a normal operation of the service.

Abstract: Methods, systems, and computer program products for dynamic transportation pooling are provided herein. A computer-implemented method includes determining vehicle-sharing user preferences attributed to each of multiple users; identifying vehicle-sharing opportunities involving two or more of the users riding in two or more vehicles, wherein each of the identified vehicle-sharing opportunities comprises (i) a location wherein at least one of the users exits a first of the vehicles and enters a second of the vehicles, wherein the location comprises a vehicle demand that exceeds a pre-determined threshold, and (ii) a temporal range until the vehicles will reach the location, and wherein said identifying is based on the vehicle-sharing user preferences attributed to each of the users, the current location of each of the vehicles, the destination of each of the vehicles, and traffic information; and outputting each of the vehicle-sharing opportunities to a mobile device of each of the users.

Abstract: A method and associated systems for automatically identifying critical resources in an organization. An organization creates a model of the dependencies between pairs of resource types, wherein that model describes how the organization's projects and services are affected when a resource type becomes unavailable. This model may include a system of directed graphs. This model may be used to automatically identify a resource type as critical if unacceptable cost is incurred by resuming projects and services rendered infeasible when the resource type is disrupted. The model may also be used to automatically identify a first resource type as critical for a second resource type when disruption of the first resource type forces the available capacity of the second resource type to fall below a threshold value.

Abstract: A method and associated systems for automatically identifying critical resources in an organization. An organization creates a model of the dependencies between pairs of resource types, wherein that model describes how the organization's projects and services are affected when a resource type becomes unavailable. This model may include a system of directed graphs. This model may be used to automatically identify a resource type as critical if unacceptable cost is incurred by resuming projects and services rendered infeasible when the resource type is disrupted. The model may also be used to automatically identify a first resource type as critical for a second resource type when disruption of the first resource type forces the available capacity of the second resource type to fall below a threshold value.

Abstract: A method and associated systems for automatically identifying critical resources in an organization. An organization creates a model of the dependencies between pairs of resource types, wherein that model describes how the organization's projects and services are affected when a resource type becomes unavailable. This model may include a system of directed graphs. This model may be used to automatically identify a resource type as critical if unacceptable cost is incurred by resuming projects and services rendered infeasible when the resource type is disrupted. The model may also be used to automatically identify a first resource type as critical for a second resource type when disruption of the first resource type forces the available capacity of the second resource type to fall below a threshold value.

Abstract: Methods and arrangements for prioritizing customer service restoration, in the event of service failure or compromise such that any adverse effect of the service disruption on the customer is minimized, the perceived drop in quality of service, if any, is minimized and timely and efficient resource reallocation for service restoration is achieved. Input data relating to customer service protocols is assimilated. A service restoration order is implemented responsive to a service disruption and based on the assimilated input data. This implementing includes determining bufferable and non-bufferable services, postponing restoration of the bufferable services, and determining an order of priority of the non-bufferable services.

Abstract: A method and associated systems for automatically identifying critical resources in an organization. An organization creates a model of the dependencies between pairs of resource instances, wherein that model describes how the organization's projects and services are affected when a resource instance becomes unavailable. This model may be represented as a system of directed graphs. This model may be used to automatically identify a resource instance as “critical” when excessive cost is required to resume all projects and services rendered infeasible by the disruption of that resource instance. This model may also be used to automatically identify a resource instance as “critical for a resource type” when disruption of the resource instance forces the capacity of the resource type available to the entire organization to fall below a threshold value.

Abstract: A method and associated systems for automatically identifying critical resources in an organization. An organization creates a model of the dependencies between pairs of resource types, wherein that model describes how the organization's projects and services are affected when a resource type becomes unavailable. This model may include a system of directed graphs. This model may be used to automatically identify a resource type as critical if unacceptable cost is incurred by resuming projects and services rendered infeasible when the resource type is disrupted. The model may also be used to automatically identify a first resource type as critical for a second resource type when disruption of the first resource type forces the available capacity of the second resource type to fall below a threshold value.

Abstract: A method and associated systems for automatically identifying critical resources in an organization. An organization creates a model of the dependencies between pairs of resource types, wherein that model describes how the organization's projects and services are affected when a resource type becomes unavailable. This model may include a system of directed graphs. This model may be used to automatically identify a resource type as critical if unacceptable cost is incurred by resuming projects and services rendered infeasible when the resource type is disrupted. The model may also be used to automatically identify a first resource type as critical for a second resource type when disruption of the first resource type forces the available capacity of the second resource type to fall below a threshold value.

Abstract: A method and associated systems for automatically identifying critical resources in an organization. An organization creates a model of the dependencies between pairs of resource instances, wherein that model describes how the organization's projects and services are affected when a resource instance becomes unavailable. This model may be represented as a system of directed graphs. This model may be used to automatically identify a resource instance as “critical” when excessive cost is required to resume all projects and services rendered infeasible by the disruption of that resource instance. This model may also be used to automatically identify a resource instance as “critical for a resource type” when disruption of the resource instance forces the capacity of the resource type available to the entire organization to fall below a threshold value.

Abstract: A description of a resource associated with a service of an entity can be captured. The service can be associated with one or more resources, a constraint, and a demand. The resource can be associated with one or more characteristics including a utility, a limited availability, and a consumption rate. The entity can be an organization or a system. An initial allocation problem associated with the resource can be formulated as a two phase problem. The first phase can be an optimization problem and the second phase can be a restricted allocation problem. The initial allocation problem can be associated with reconfiguring a previously established allocation of a baseline scenario. The optimization problem can be solved optimally or approximately to establish a favorable allocation. The favorable allocation can minimizes the reconfiguration cost of the reconfiguring. The baseline scenario can be a normal operation of the service.

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: Methods and arrangements for prioritizing customer service restoration, in the event of service failure or compromise such that any adverse effect of the service disruption on the customer is minimized, the perceived drop in quality of service, if any, is minimized and timely and efficient resource reallocation for service restoration is achieved. Input data relating to customer service protocols is assimilated. A service restoration order is implemented responsive to a service disruption and based on the assimilated input data. This implementing includes determining bufferable and non-bufferable services, postponing restoration of the bufferable services, and determining an order of priority of the non-bufferable services.

Abstract: Methods and systems for managing energy sources and energy consumers in an integrated system are provided. Certain subject matter presented herein relates to automatically scheduling jobs and their sub-tasks to maximize profit by comparing power source configurations and determining the best job schedule for the power source configurations. This system broadly involves two sub-problems: determining the best power source configuration and determining the best job schedule for the given power source configuration.

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.