Abstract: The subject matter described herein is directed to a power monitoring system for managing power in a data center. In one embodiment, the power monitoring system includes: at least one processor, a memory coupled to the at least one processor, wherein the memory includes, a computation module configured to compute at least one of peak power consumption and current power consumption of each power distribution point of a power distribution unit and an analysis module configured to identify the power distribution points which are overloaded or are underutilized based on a policy data.

Abstract: Disclosed is a system and method for facilitating optimizing cooling efficiency of a data center. The method may comprise receiving a layout of the data center. The method may comprise computing co-ordinates of each equipment of a plurality of equipments associated with the data center. Further, the method may comprise segregating the layout into a plurality of cells. The method may comprise capturing preliminary data associated with the data center. Further, the method may comprise determining a state value of the data center based upon the preliminary data. The method may comprise capturing CFD data and, selectively, thermal assessment data. Further, the method may comprise facilitating the optimization of the cooling efficiency of the data center by using an external analysis tool capable of performing Computational Fluid Dynamics (CFD) analysis or thermal assessment followed by the Computational Fluid Dynamics (CFD) analysis using the CFD data and the thermal assessment data.

Abstract: Disclosed is a system and method for optimizing cooling efficiency of a data center is disclosed. The system may comprise an importing module, a Computational fluid dynamics (CFD) modeling module, a scope determination module, a metrics computation module, an identification module and a recommendation module. The importing module may be configured to import data associated to the data center. The CFD modeling module may be configured to leverage an external CFD Analysis tool in order to develop a CFD model of the data center. The scope determination module may be configured to determine a scope for optimizing the cooling efficiency of the data center. The metrics computation module may be configured to compute metrics based upon the data. The identification module may be configured to identify inefficiency and a cause producing the inefficiency. The recommendation module may be configured to facilitate optimizing cooling efficiency of the data center.

Abstract: The application provides a method and system for real time monitoring and prediction of temperatures in a data center for effective thermal management. Further, the invention provides a method and system for analyzing and display of monitored and predicted temperatures for obtaining complete temperature profile of the data center.

Abstract: The subject matter described herein relates to a system and a method for generation of energy consumption profiles corresponding to a plurality of computing systems. For each of the plurality of the computing systems, a plurality of consumption parameters from at least one measurement device is received. The consumption parameters include a processor utilization parameter and an energy consumption parameter. Further, a normalization factor corresponding to each of the plurality of the computing systems is identified. Based on the normalization factor, the processor utilization parameter is normalized. Based on the normalized processor utilization parameter and the energy consumption parameter, the energy consumption profile is generated. The energy consumption profile is indicative of energy efficiency of the plurality of the computing systems.

Abstract: The subject matter described herein is directed to a power monitoring system for managing power in a data center. In one embodiment, the power monitoring system includes: at least one processor, a memory coupled to the at least one processor, wherein the memory includes, a computation module configured to compute at least one of peak power consumption and current power consumption of each power distribution point of a power distribution unit and an analysis module configured to identify the power distribution points which are overloaded or are underutilized based on a policy data.

Abstract: The subject matter described herein relates to a system and a method for generation of energy consumption profiles corresponding to a plurality of computing systems. For each of the plurality of the computing systems, a plurality of consumption parameters from at least one measurement device is received. The consumption parameters include a processor utilization parameter and an energy consumption parameter. Further, a normalization factor corresponding to each of the plurality of the computing systems is identified. Based on the normalization factor, the processor utilization parameter is normalized. Based on the normalized processor utilization parameter and the energy consumption parameter, the energy consumption profile is generated. The energy consumption profile is indicative of energy efficiency of the plurality of the computing systems.

Abstract: The application provides a method and system for real time monitoring and prediction of temperatures in a data center for effective thermal management. Further, the invention provides a method and system for analyzing and display of monitored and predicted temperatures for obtaining complete temperature profile of the data center.