Abstract: Respective energy consumption data is collected via respective agents running on respective host servers. The respective energy consumption data represents energy consumed by the respective host servers over a time period. The respective agents communicate with hardware on each of the respective host servers using a unified application programming interface (API). Respective energy costs are determined over the time period for the respective host servers based on the respective energy consumption data. A subset of the respective host servers that are being underutilized is identified based on the respective energy consumption data and the respective energy costs. An action to take with respect to the subset of the respective host servers that are being underutilized is determined to reduce the energy costs.

Abstract: A method and a system for generating a time-frequency representation of an aperiodic continuous input signal comprising generating a periodic train of short pulses having a repetition frequency, and sampling the signal temporally using the periodic train of short pulses to obtain a temporally sampled signal, the temporally sampled signal comprising a plurality of sampled copies of the input signal, each sampled copy being spaced in function of the repetition frequency of the periodic train of short pulses. The temporally sampled signal is delayed based on the repetition frequency to obtain a delayed temporally sampled signal comprising a plurality of delayed sampled copies, a spectral representation of a given delayed sampled copy being delayed in function of the repetition frequency. The delayed temporally sampled signal is evaluated over consecutive time slots to obtain, for each consecutive time slot, a respective output signal in the time-frequency domain.

Abstract: A method and a system for generating a time-frequency representation of an aperiodic continuous input signal comprising generating a periodic train of short pulses having a repetition frequency, and sampling the signal temporally using the periodic train of short pulses to obtain a temporally sampled signal, the temporally sampled signal comprising a plurality of sampled copies of the input signal, each sampled copy being spaced in function of the repetition frequency of the periodic train of short pulses. The temporally sampled signal is delayed based on the repetition frequency to obtain a delayed temporally sampled signal comprising a plurality of delayed sampled copies, a spectral representation of a given delayed sampled copy being delayed in function of the repetition frequency. The delayed temporally sampled signal is evaluated over consecutive time slots to obtain, for each consecutive time slot, a respective output signal in the time-frequency domain.

Abstract: Example implementations relate to testing a cloud service. An example implementation includes creating cloud service resources. The resources may include a system node and a cloud application programming interface (API) for accessing the system node. Workloads of different types may be generated on the deployed cloud service according to workload parameters. In an example, the different workload types may include data workloads on the system nodes to consume computational resources of a computational resource pool assignable by the cloud service. In an example, the different workload types may include application programming interface calls to interface with cloud APIs of the cloud service.

Abstract: Respective energy consumption data is collected via respective agents running on respective host servers. The respective energy consumption data represents energy consumed by the respective host servers over a time period. The respective agents communicate with hardware on each of the respective host servers using a unified application programming interface (API). Respective energy costs are determined over the time period for the respective host servers based on the respective energy consumption data. A subset of the respective host servers that are being underutilized is identified based on the respective energy consumption data and the respective energy costs. An action to take with respect to the subset of the respective host servers that are being underutilized is determined to reduce the energy costs.

Abstract: Example implementations relate to testing a cloud service. An example implementation includes creating cloud service resources. The resources may include a system node and a cloud application programming interface (API) for accessing the system node. Workloads of different types may be generated on the deployed cloud service according to workload parameters. In an example, the different workload types may include data workloads on the system nodes to consume computational resources of a computational resource pool assignable by the cloud service. In an example, the different workload types may include application programming interface calls to interface with cloud APIs of the cloud service.

Abstract: Disclosed herein is a cost effective and industrially feasible process for the preparation of (+) Clopidogrel bisulphate. The present invention further discloses a novel method of precipitation of (+) Clopidogrel bisulphate Form I directly from solvent mix of methanol and acetone in presence of sulfuric acid at a temperature of 25-40° C.