Abstract: In some examples, a scheduler of a control plane schedules control plane entities in a cluster of computing nodes, where placements of the control plane entities in respective computing nodes reflect where respective data path service partitions are to be placed. A first control plane entity in a first computing node activates a first data path service partition in the first computing node. The first data path service partition is used to access data of a first data shard in a data store, where data of the data store is partitioned across a plurality of data shards associated with the respective data path service partitions. Based on a condition of the cluster of computing nodes, a placement of a second control plane entity is modified to change a placement in the cluster of computing nodes of a second data path service partition associated with the second control plane entity.

Abstract: In some examples, a scheduler of a control plane schedules control plane entities in a cluster of computing nodes, where placements of the control plane entities in respective computing nodes reflect where respective data path service partitions are to be placed. A first control plane entity in a first computing node activates a first data path service partition in the first computing node. The first data path service partition is used to access data of a first data shard in a data store, where data of the data store is partitioned across a plurality of data shards associated with the respective data path service partitions. Based on a condition of the cluster of computing nodes, a placement of a second control plane entity is modified to change a placement in the cluster of computing nodes of a second data path service partition associated with the second control plane entity.

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 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.