Abstract: Skill update based work assignment in one aspect may comprise receiving a worker set identifying a list of workers, current skills associated with the worker set, required skills associated with a set of tickets; classifying the current skills and the required skills to find worker target skills; calculating for each of the workers in the worker set, a worker's updated skill should the worker be assigned to and work on one or more of the set of tickets; and assigning one or more of the set of tickets to one or more of the workers in the worker set whose current skills enable resolving the set of tickets within a predetermined criterion, and based on whether one or more of the workers' updated skills meet the worker target skills.

Abstract: Systems and methods for determining asset assignment in a service delivery environment are provided. A method for asset assignment in a service delivery environment, comprises identifying a number of worktypes, defining a plurality of asset resource pools and identifying a number of the resource pools, calculating a uniqueness of each resource pool, computing a utilization of each resource pool, and determining a uniqueness adjusted utilization value for each resource pool, wherein one or more steps of the method are performed by a computer system comprising a memory and at least one processor coupled to the memory.

Abstract: A system and method of determining operational quality aware staffing requirements in service delivery systems. Optimum staffing requirements are determined by workload based simulation and optimization. Operational quality metrics are periodically measured against benchmarks to determine quality scores based upon the level of performance. The staffing requirements and quality scores are used to perform a population distribution and correlation analysis to devise an operational quality to staffing relationship.

Abstract: Techniques, a system and an article of manufacture for allocating accounts among resource pools. A method includes creating a set of customer account allocations by assigning customer account combinations from a set of customer accounts among a given set of resource pools, computing a compatibility score for each of the customer account allocations by comparing a profile of a resource pool and a profile of each customer account assigned to the resource pool in the customer account allocation based on a workload parameter, a demographics parameter, and/or an effort parameter, simulating execution of a pre-determined number of customer account allocations, wherein the pre-determined number is based on a compatibility score threshold, selecting one of the customer account allocations based on results of the simulated execution, and allocating the set of customer accounts among the set of resource pools in accordance with the selected customer account allocation.

Abstract: A system and computer program product for virtual machine placement in a datacenter include using one or more server power characteristics to determine a power cost for any given virtual machine placement in the datacenter, using a heat profile of one or more datacenter components in relation to one or more cooling resources in the datacenter to determine cooling cost for any given virtual machine placement in the datacenter, and using the power cost and cooling cost to apply integrated energy cost minimization at one or more levels of hierarchy in the datacenter to determine placement of a virtual machine in the datacenter such that the integrated energy cost of the datacenter is minimized.

Abstract: Embodiments of the invention provide power savings via performing application workload consolidation to servers using off-peak values for application workload demand. Embodiments of the invention are designed to achieve significant power savings while containing performance risk associated with server consolidation.

Abstract: Techniques for virtual machine placement in a datacenter are provided. The techniques include using one or more server power characteristics to determine a power cost for any given virtual machine placement in the datacenter, using a heat profile of one or more datacenter components in relation to one or more cooling resources in the datacenter to determine cooling cost for any given virtual machine placement in the datacenter, and using the power cost and cooling cost to apply integrated energy cost minimization at one or more levels of hierarchy in the datacenter to determine placement of a virtual machine in the datacenter such that the integrated energy cost of the datacenter is minimized.

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: A method, system and computer-usable medium are disclosed for optimizing the power consumption of a plurality of information processing systems. Historical usage data representing power usage of a plurality of information processing systems is retrieved in response to a request to generate power savings recommendations. Statistical analysis is performed on the historical usage data are to determine usage patterns, which are then further analyzed to determine repetitions of the usage patterns. In turn, the repetitions of the usage patterns are analyzed to generate power consumption management recommendations to initiate power consumption management actions at particular times. One or more business constraints are determined, which are used to generate constraints to the power consumption management recommendations.

Abstract: Techniques for virtual machine placement in a datacenter are provided. The techniques include using one or more server power characteristics to determine a power cost for any given virtual machine placement in the datacenter, using a heat profile of one or more datacenter components in relation to one or more cooling resources in the datacenter to determine cooling cost for any given virtual machine placement in the datacenter, and using the power cost and cooling cost to apply integrated energy cost minimization at one or more levels of hierarchy in the datacenter to determine placement of a virtual machine in the datacenter such that the integrated energy cost of the datacenter is minimized.

Abstract: Embodiments of the invention provide power savings via performing application workload consolidation to servers using off-peak values for application workload demand. Embodiments of the invention are designed to achieve significant power savings while containing performance risk associated with server consolidation.

Abstract: A device and method for efficient hoarding content set on a mobile client prior to disconnection of the mobile client from a network. The content set to be hoarded on the mobile client and a respective schedule for hoarding the content set on the mobile client are dynamically computed by considering various real times factors such as file utilities, device capabilities and network connectivity that affect the performance of the mobile client and the hoarding process.

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: Energy saving efforts should not compromise data center performance. An energy management application can determine usage patterns in historical energy usage data based on statistical analysis and energy models. Energy savings recommendations can be generated for future points-in-time based on the usage patterns. Business constraints can be applied to the energy savings recommendations to ensure that the energy savings recommendations meet performance requirements.

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: 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: Techniques for executing a batch of one or more workflows on one or more domains are provided. The techniques include receiving a request for workflow execution, sending at least one of one or more individual jobs in each workflow and dependency information to a scheduler, computing, by the scheduler, one or more outputs, wherein the one or more outputs are based on one or more performance objectives, and integrating orchestration of one or more workflows and scheduling of at least one of one or more jobs and one or more data transfers, wherein the integrating is used to execute a batch of one or more workflows based on at least one of one or more outputs of the scheduler, static information and run-time information.

Abstract: A device and method for efficient hoarding content set on a mobile client prior to disconnection of the mobile client from a network. The content set to be hoarded on the mobile client and a respective schedule for hoarding the content set on the mobile client are dynamically computed by considering various real times factors such as file utilities, device capabilities and network connectivity that affect the performance of the mobile client and the hoarding process.

Abstract: Scheduling of job execution, data transfers, and data replications in a distributed grid topology are integrated. Requests for job execution for a batch of jobs are received, along with a set of job requirements. The set of job requirements includes data objects needed for executing the jobs, computing resources needed for executing the jobs, and quality of service expectations. Execution sites are identified within the grid for executing the jobs based on the job requirements. Data transfers needed for providing the data objects for executing the batch of jobs are determined, and data for replication is identified. A set of end-points is identified in the distributed grid topology for use in data replication and data transfers. A schedule is generated for data transfer, data replication and job execution in the grid in accordance with global objectives.

Abstract: A device and method for efficient hoarding content set on a mobile client prior to disconnection of the mobile client from a network. The content set to be hoarded on the mobile client and a respective schedule for hoarding the content set on the mobile client are dynamically computed by considering various real times factors such as file utilities, device capabilities and network connectivity that affect the performance of the mobile client and the hoarding process.