Abstract: In one implementation, an interactive service management system includes a performance profile module and a performance evaluation module. The performance profile modules defines a performance measure of an interactive service based on a quality assessment associated with the interactive service. The performance evaluation module compares the performance measure with performance target associated with the interactive service, and modifies the performance target associated with the interactive service based on the comparison of the performance measure and the performance target.

Abstract: Systems and automated methods for predicting photovoltaic (PV) generation are provided. Weather forecast data and present-day and historical PV generation data are provided to respective predictors. The predictors derive weighted predictions that are used to calculate a Bayesian model average. Near-future generation by the PV system is predicted using the Bayesian model average. Production rates, worker scheduling, hours of operation and other planning decisions can be made in accordance with the predicted near-future generation.

Abstract: Methods, apparatus and articles of manufacture to shift information technology workload demands are disclosed. An example method disclosed herein comprises obtaining demand profiles for workloads in an information technology infrastructure, each demand profile representing resource utilization over time to support a respective workload, and evaluating the demand profiles to shift, in time, assignment of at least one of the workloads to resources of the information technology infrastructure based on a target demand profile for an aggregation of the workloads.

Abstract: A method for server consolidation is provided. The method includes collecting performance data of a plurality of source servers in a desired environment, selecting a group of one or more source servers from the plurality of source servers for consolidation, marking each source server in the with one of multiple usability statuses with one of such statuses indicates the marked source server is to be replaced or reused as necessary in the server consolidation, selecting a target platform for a new server, and performing a first server consolidation analysis of the first group based at least on the collected performance data, the initial usability status of each source server in the first group, and the first selected target platform.

Abstract: A method of maximizing server utilization within a datacenter comprising collocating a number of workloads to a subset of a number of physical servers within a datacenter, adjusting access to resources by critical and non-critical workloads, isolating a number of critical workloads that share resources to the subset of resource instances, and controlling resource utilization of the collocated workloads. A system for collocating workloads in a datacenter, the system comprising a number of servers communicatively coupled to each other and a collocation module that receives information from each server and decides whether to leave a workload running on one of any of the servers on that server, or migrate a workload running on one of the number of servers to another server.

Abstract: Determining sensor placement in distributed networks includes identifying measurement locations in a distributed network with a tree topology and selecting a subset of the measurement locations for sensor placement with a mutual information function.

Abstract: A method for detecting power consumption anomalies. The method obtains two different time power series and compares them to generate a dissimilarity matrix. A dimensionality reduction equation is applied to the dissimilarity matrix to obtain a low dimensional embedding of the power data. A probability score of each of the time series being anomalous is then calculated.

Abstract: A method of determining occupancy of a building using a hidden Markov model.

Abstract: In a method for managing energy demand in an infrastructure, a coefficient of performance (COP) of the infrastructure as a function of time is determined. The COP is a measure of efficiency of the infrastructure. In addition, an energy demand on the infrastructure as a function of time is determined and an energy demand schedule for the infrastructure that temporally reallocates the energy demand based upon the determined COP of the infrastructure is determined.

Abstract: Systems and methods of spot pricing to reduce workload in a data center are disclosed. An example method may include determining a runtime financial aspect of a data center. The method may also include adjusting spot pricing to change workload in the data center and enhance associated power consumption based on the runtime financial aspect.

Abstract: In an embodiment, a device characterization system includes a sensor to sense an attribute of a device, a processor, and an algorithm executable on the processor to collect time series data of the attribute from the sensor, detect edges in the data, identify clusters from the edges, label the clusters based on input from a supervisor, and estimate device characterization parameters from the clusters.

Abstract: In one implementation, an interactive service management system includes a performance profile module and a performance evaluation module. The performance profile modules defines a performance measure of an interactive service based on a quality assessment associated with the interactive service. The performance evaluation module compares the performance measure with performance target associated with the interactive service, and modifies the performance target associated with the interactive service based on the comparison of the performance measure and the performance target.

Abstract: Systems and methods of disaggregating power load are provided. An example of a method is carried out by program code stored on non-transient computer-readable medium and executed by a processor. The method includes receiving time series data representing total energy consumption. The method also includes identifying distinguishing features in the time series data. The method also includes identifying energy consumption constituents of the total energy consumption based on the features.

Abstract: Example methods, apparatus and articles of manufacture to provision data center resources are disclosed. An example method includes provisioning a first portion of data center resources to operate during time intervals based on a base workload for the respective time intervals, the base workload being based on data patterns of a data center and configuring a second portion of the data center resources to operate when an actual workload exceeds a threshold corresponding to the base workload.

Abstract: A system for managing utilization of biogas in an infrastructure includes a plurality of biogas implementing apparatuses. The system also includes a biogas source to supply biogas to the plurality of biogas implementing apparatuses and an optimizer to determine a distribution of the biogas to the plurality of biogas implementing apparatuses that substantially optimizes at least one metric associated with operating the infrastructure.

Abstract: In a method for managing energy demand in an infrastructure, a coefficient of performance (COP) of the infrastructure as a function of time is determined. The COP is a measure of efficiency of the infrastructure. In addition, an energy demand on the infrastructure as a function of time is determined and an energy demand schedule for the infrastructure that temporally reallocates the energy demand based upon the determined COP of the infrastructure is determined.

Abstract: Constraints on assigning applications to resources are determined. The applications are divided into sets, wherein applications in a set are related by at least one of the constraints. Variations on assigning the applications in the sets to resources are determined. Feasible variations are determined from the variations for each set, wherein the feasible variations satisfy constraints on the applications for each set. The feasible variations are simulated.

Abstract: A method and system for governing resources in a computing utility receives a demand profile associated with an application that identifies the resources required from a pool of resources during one or more demand cycles, admits an application to the computing utility facility if resources required for the application can be provided from the pool of resources in accordance with the demand profile and associated one or more demand cycles and assigns available resources from the pool of resources in response to a request from the application admitted to the computing utility facility.

Abstract: A method and system for policing resources in a computing utility facility includes policing resources in a computing utility facility includes intercepting a request for resources from an application admitted to access a pool of resources associated with the computing utility facility, acquiring an entitlement profile associated with the application to determine if application is entitled to requested resources over a time period, identifying an entitlement value and corresponding sliding window of the time period from the entitlement profile, determining if the request for resources exceeds the entitlement value associated with the sliding window and indicating application entitlement to the request for resources in response to the determining if the request is excessive.

Abstract: A required capacity for applications is determined. The applications are run on a shared pool of resources and each application belongs to at least one class of service of multiple classes of service. A portion of the required capacity attributed to each class of service is determined based on traces for the applications running on the shared pool of resources. A portion of the required capacity attributed to each application in each class of service is determined from the portion of the required capacity attributed to each class of service.