Abstract: A computer-implemented method includes receiving, by a base station of a security system, an identification of a shipment package, the identification received from a first security sensor that is part of the security system. The method further includes adding, by the base station, a shipment device of the shipment package as a second security sensor of the security system. The method further includes configuring, by the base station, the shipment device in protect-mode, wherein the shipment device sounds an alarm in response to the shipment being displaced by at least a predetermined distance when in the protect-mode. The method further includes reconfiguring, by the base station, the shipment device in safe-mode in response to receiving, from a customer associated with the shipment package, a confirmation signal that the shipment package has been safely received.

Abstract: A computer-implemented method includes receiving, by a base station of a security system, an identification of a shipment package, the identification received from a first security sensor that is part of the security system. The method further includes adding, by the base station, a shipment device of the shipment package as a second security sensor of the security system. The method further includes configuring, by the base station, the shipment device in protect-mode, wherein the shipment device sounds an alarm in response to the shipment being displaced by at least a predetermined distance when in the protect-mode. The method further includes reconfiguring, by the base station, the shipment device in safe-mode in response to receiving, from a customer associated with the shipment package, a confirmation signal that the shipment package has been safely received.

Abstract: A computer-implemented method includes receiving, by a base station of a first security system, an identification of a portable security system. The method further includes adding, by the base station, the portable security system as a sensor to a plurality of sensors monitored by the first security system. The method further includes configuring, by the base station, the portable security system in protect-mode, wherein the portable security system sounds an alarm in response to a sensor from the second system indicating a security-breach. The method further includes in response to the alarm from the portable security system, generating, by the base station, an alarm event of the first security system.

Abstract: A computer-implemented method includes receiving, by a base station of a first security system, an identification of a portable security system. The method further includes adding, by the base station, the portable security system as a sensor to a plurality of sensors monitored by the first security system. The method further includes configuring, by the base station, the portable security system in protect-mode, wherein the portable security system sounds an alarm in response to a sensor from the second system indicating a security-breach. The method further includes in response to the alarm from the portable security system, generating, by the base station, an alarm event of the first security system.

Abstract: A computer-implemented method includes receiving, by a base station of a first security system, an identification of a portable security system. The method further includes adding, by the base station, the portable security system as a sensor to a plurality of sensors monitored by the first security system. The method further includes configuring, by the base station, the portable security system in protect-mode, wherein the portable security system sounds an alarm in response to a sensor from the second system indicating a security-breach. The method further includes in response to the alarm from the portable security system, generating, by the base station, an alarm event of the first security system.

Abstract: A computer-implemented method includes receiving, by a base station of a security system, an identification of a shipment package, the identification received from a first security sensor that is part of the security system. The method further includes adding, by the base station, a shipment device of the shipment package as a second security sensor of the security system. The method further includes configuring, by the base station, the shipment device in protect-mode, wherein the shipment device sounds an alarm in response to the shipment being displaced by at least a predetermined distance when in the protect-mode. The method further includes reconfiguring, by the base station, the shipment device in safe-mode in response to receiving, from a customer associated with the shipment package, a confirmation signal that the shipment package has been safely received.

Abstract: A computer-implemented method includes receiving, by a base station of a security system, an identification of a shipment package, the identification received from a first security sensor that is part of the security system. The method further includes adding, by the base station, a shipment device of the shipment package as a second security sensor of the security system. The method further includes configuring, by the base station, the shipment device in protect-mode, wherein the shipment device sounds an alarm in response to the shipment being displaced by at least a predetermined distance when in the protect-mode. The method further includes reconfiguring, by the base station, the shipment device in safe-mode in response to receiving, from a customer associated with the shipment package, a confirmation signal that the shipment package has been safely received.

Abstract: A computer-implemented method includes receiving, by a base station of a first security system, an identification of a portable security system. The method further includes adding, by the base station, the portable security system as a sensor to a plurality of sensors monitored by the first security system. The method further includes configuring, by the base station, the portable security system in protect-mode, wherein the portable security system sounds an alarm in response to a sensor from the second system indicating a security-breach. The method further includes in response to the alarm from the portable security system, generating, by the base station, an alarm event of the first security system.

Abstract: A zombie server can be detected. Detecting a zombie server can include labeling a plurality of processes as utility software, calculating a utilization of utility software on the plurality of processes executed in one or more processing resources during an interval of time, and calculating a server utilization of the one or more processing resources during the interval of time. Detecting the zombie server can also include determining whether a difference between the utilization of utility software and the server utilization is greater than a threshold, and identifying a server that hosts the processing resource as a zombie server based on a determination that the difference is smaller than the threshold.

Abstract: A non-transitory computer readable storage medium having stored thereon instructions, the instructions being executable by one or more processors to perform operations including: receiving, by a calibration module executed by the one or more processors, a calibration request including (i) a workload type, (ii) a list of compute nodes belonging to a distributed computer system, and (iii) one or more frequencies; responsive to identifying the workload type as a clustered workload type, instructing a plurality of compute nodes on the list of compute nodes to begin processing a workload of the workload type; and responsive to identifying the workload type as a clustered workload type, instructing a compute node on the list of compute nodes to begin processing the workload of the workload type is shown.

Abstract: A zombie server can be detected. Detecting a zombie server can include receiving, at a server, network traffic and calculating a percentage of the network traffic as being productivity software layer 7 protocols every first time interval. Detecting a zombie server can also include marking the server as a zombie server based on the percentage every second time interval and processing the network traffic at the server to perform a number of actions by the productivity software.

Abstract: A non-transitory computer readable storage medium storing instructions executable by one or more processors of a distributed computer system to perform operations including determining whether a power consumed by the distributed computer system is greater than a power allocated to the distributed computer system, responsive to determining the power consumed by the distributed computer system is greater than the power allocated to the distributed computer system, determining whether all jobs being processed by the distributed computer system are processing at a lowest power state for each job, wherein a job includes one or more calculations performed by the one or more processors of the distributed computer system and responsive to determining all jobs being processed by the distributed computer system are processing at a lowest power state for each job, suspending a job having a lowest priority among all jobs being processed by the distributed computer system is shown.

Abstract: A method of assessing energy efficiency of a High-performance computing (HPC) system, including: selecting a plurality of HPC workloads to run on a system under test (SUT) with one or more power constraints, wherein the SUT includes a plurality of HPC nodes in the HPC system, executing the plurality of HPC workloads on the SUT, and generating a benchmark metric for the SUT based on a baseline configuration for each selected HPC workload and a plurality of measured performance per power values for each executed workload at each selected power constraint is shown.

Abstract: A zombie server can be detected. Detecting a zombie server can include receiving, at a server, network traffic and calculating a percentage of the network traffic as being productivity software layer 7 protocols every first time interval. Detecting a zombie server can also include marking the server as a zombie server based on the percentage every second time interval and processing the network traffic at the server to perform a number of actions by the productivity software.

Abstract: A zombie server can be detected. Detecting a zombie server can include labeling a plurality of processes as utility software, calculating a utilization of utility software on the plurality of processes executed in one or more processing resources during an interval of time, and calculating a server utilization of the one or more processing resources during the interval of time. Detecting the zombie server can also include determining whether a difference between the utilization of utility software and the server utilization is greater than a threshold, and identifying a server that hosts the processing resource as a zombie server based on a determination that the difference is smaller than the threshold.

Abstract: A method of assessing energy efficiency of a High-performance computing (HPC) system, including: selecting a plurality of HPC workloads to run on a system under test (SUT) with one or more power constraints, wherein the SUT includes a plurality of HPC nodes in the HPC system, executing the plurality of HPC workloads on the SUT, and generating a benchmark metric for the SUT based on a baseline configuration for each selected HPC workload and a plurality of measured performance per power values for each executed workload at each selected power constraint is shown.

Abstract: A non-transitory computer readable storage medium having stored thereon instructions executable by one or more processors to perform operations including: receiving a plurality of input parameters including (i) a workload type, (ii) a list of selected nodes belonging to a distributed computer system, and (iii) a list of frequencies; responsive to receiving the plurality of workload parameters, retrieving calibration data from a calibration database; generating a power estimate based on the plurality of workload parameters and the calibration data; and providing the power estimate to a resource manager is shown. Alternatively, the input parameters may include (i) a workload type, (ii) a list of selected nodes belonging to a distributed computer system, and (iii) an amount of available power, wherein the estimator may provide an estimation of the frequency at which the nodes should operate to utilize as much of the available power without exceeding the available power.

Abstract: A non-transitory computer readable storage medium having stored thereon instructions, the instructions being executable by one or more processors to perform operations including: receiving, by a calibration module executed by the one or more processors, a calibration request including (i) a workload type, (ii) a list of compute nodes belonging to a distributed computer system, and (iii) one or more frequencies; responsive to identifying the workload type as a clustered workload type, instructing a plurality of compute nodes on the list of compute nodes to begin processing a workload of the workload type; and responsive to identifying the workload type as a clustered workload type, instructing a compute node on the list of compute nodes to begin processing the workload of the workload type is shown.

Abstract: A non-transitory computer readable storage medium having stored thereon instructions executable by one or more processors to perform operations including: receiving a plurality of input parameters including (i) a workload type, (ii) a list of selected nodes belonging to a distributed computer system, and (iii) a list of frequencies; responsive to receiving the plurality of workload parameters, retrieving calibration data from a calibration database; generating a power estimate based on the plurality of workload parameters and the calibration data; and providing the power estimate to a resource manager is shown. Alternatively, the input parameters may include (i) a workload type, (ii) a list of selected nodes belonging to a distributed computer system, and (iii) an amount of available power, wherein the estimator may provide an estimation of the frequency at which the nodes should operate to utilize as much of the available power without exceeding the available power.

Abstract: A method of managing power and performance of a High-performance computing (HPC) systems, including: determining a power budget for a HPC system, wherein the HPC system includes a plurality of interconnected HPC nodes operable to execute a job, determining a power and cooling capacity of the HPC system, allocating the power budget to the job to maintain a power consumption of the HPC system within the power budget and the power and cooling capacity of the HPC system, and executing the job on selected HPC nodes is shown.