Abstract:
Exemplary methods, apparatuses, and systems that can intelligently copy data to a plurality of datastores using performance monitoring are described. In one embodiment, a shortest path tree determines the most efficient paths available for copying data from a source datastore to one or more destination datastores. During the copying of the data between a source datastore and the one or more destination datastores, a performance value of each of the datastores involved in the copying process is compared to a threshold. In response to determining that the performance value of a given source or destination datastore involved in the copying exceeds the threshold, the copying of the data to the corresponding destination datastore is suspended. An updated shortest path tree is determined to locate a more efficient path for copying data to the suspended destination datastore. Copying is resumed to the suspended destination datastore using the updated shortest path tree.
Abstract:
Methods, systems, and computer programs are provided for measuring the performance of a remote display. One method includes an operation for embedding in display frames a respective frame identifier and a respective frame picture. The respective frame picture is placed in a respective region that depends of the value of the respective frame identifier. Additionally, the method includes operations for sending the plurality of display frames to a remote client, and for extracting each received frame picture from the respective region of each received display frame at the remote client based on the received frame identifier. The received frame quality is calculated for each received display frame based on the comparison of the extracted received frame picture with the respective frame picture. Further, the method includes an operation for calculating a remote display quality for the remote client based on the calculated received frame quality for the received display frames.
Abstract:
A distributed computing application is described that provides a highly elastic and multi-tenant platform for Hadoop applications and other workloads running in a virtualized environment. Data and compute nodes are separated into different virtual machines (VM). Compute VMs are used to launch containers from different tenants. Compute VMs are organized in pools of hot spare VMs that are immediately available for launching a container and executing a task, and pools of cold spare VMs. Each compute VM may include a mounted network filesystem provided by a node manager to share intermediate outputs across VMs executing on the same host.
Abstract:
Exemplary methods, apparatuses, and systems include a host computer selecting a first workload of a plurality of workloads running on the host computer to be subjected to an input/output (I/O) trace. The host computer determines whether to generate the I/O trace for the first workload for a first length of time or for a second length of time. The first length of time is shorter than the second length of time. The determination is based upon runtime history for the first workload, I/O trace history for the first workload, and/or workload type of the first workload. The host computer generates the I/O trace of the first workload for the selected length of time.
Abstract:
Methods, systems, and computer programs are provided for measuring the performance of a remote display. One method includes an operation for embedding in display frames a respective frame identifier and a respective frame picture. The respective frame picture is placed in a respective region that depends of the value of the respective frame identifier. Additionally, the method includes operations for sending the plurality of display frames to a remote client, and for extracting each received frame picture from the respective region of each received display frame at the remote client based on the received frame identifier. The received frame quality is calculated for each received display frame based on the comparison of the extracted received frame picture with the respective frame picture. Further, the method includes an operation for calculating a remote display quality for the remote client based on the calculated received frame quality for the received display frames.
Abstract:
Techniques for managing energy use of a computing deployment are provided. In one embodiment, a computer system can establish a performance model for one or more components of the computing deployment, where the performance model models a relationship between one or more tunable parameters of the one or more components and an end-to-end performance metric, and where the end-to-end performance metric reflects user-observable performance of a service provided by the computing deployment. The computer system can further execute an algorithm to determine values for the one or more tunable parameters that minimize power consumption of the one or more components, where the algorithm guarantees that the determined values will not cause the end-to-end performance metric, as calculated by the performance model, to cross a predefined threshold. The computer system can then enforce the determined values by applying changes to the one or more components.
Abstract:
Exemplary methods, apparatuses, and systems receive a first input/output (I/O) trace including storage addresses that were subject to a plurality of I/O requests from a first workload during a first period of time. The first I/O trace is run through a cache simulation using a plurality of simulated cache sizes. A first state of the cache simulation is stored upon completing the first I/O trace simulation. The first I/O trace is deleted in response to storing the first state. A second I/O trace including storage addresses that were subject to a plurality of I/O requests from the first workload during a second period of time is received. A cumulative miss ratio curve for the first workload is generated by loading the stored first state as a starting point for simulating the second I/O trace and running the second I/O trace through the cache simulation.
Abstract:
Methods, systems, and computer programs are provided for measuring the performance of display images received on a remote computer display. One method includes an operation for detecting calls from an application to an application programming interface (API), which is provided for rendering images on a display image, each call causing an update of the display image. Further, the method includes an operation for embedding data for measuring performance in display frames of the display image based on the detecting. The embedding results in modified displayed frames with respective data for measuring performance. The modified displayed frames are transmitted to a remote client, which results in received modified display frames having respective received data for measuring the performance. In addition, the method includes an operation for calculating the remote display quality for the given application based on the received modified display frames and the respective received data for measuring performance.
Abstract:
Methods, systems, and computer programs are provided for measuring the performance of display images received on a remote computer display. One method includes an operation for detecting calls from an application to an application programming interface (API), which is provided for rendering images on a display image, each call causing an update of the display image. Further, the method includes an operation for embedding data for measuring performance in display frames of the display image based on the detecting. The embedding results in modified displayed frames with respective data for measuring performance. The modified displayed frames are transmitted to a remote client, which results in received modified display frames having respective received data for measuring the performance. In addition, the method includes an operation for calculating the remote display quality for the given application based on the received modified display frames and the respective received data for measuring performance.
Abstract:
Exemplary methods, apparatuses, and systems that can intelligently copy data to a plurality of datastores are described. In one embodiment, a distance value of a path between each datastore is determined. Based on the distance values, a graph cluster analysis creates clusters of the datastores within close proximity to one another. Also, a shortest path tree determines the most efficient paths available for copying data from a source datastore to one or more destination datastores. The source datastore is designated as the root of the shortest path tree, and the one or more destination datastores are designated as the vertices of the tree. After each child vertex of the source datastore is ordered in descending order according to a number of unique clusters to which descendants of the child vertex belong, the data is copied from the source datastore to the one or more destination datastores in the descending order.