Abstract:
A computer-implemented method for allocating threads includes: receiving a registration of a workload, the registration including a workload classification and a workload priority; monitoring statuses of a plurality of resources; identifying, by a computing device, a thread of a resource from the plurality of resources, the thread being programmed to execute a task associated with the workload; evaluating, by the computing device, the workload classification and the workload priority of the workload with workload classifications and workload priorities of other workloads requesting the thread; and allocating the thread to one of the workloads based on evaluation of the workload classification and the workload priority.
Abstract:
A current request for a server to perform work for a user profile can be received and processed at the server. It can be determined whether server usage by the profile exhibits a sufficient trend toward a threshold value to warrant performing traffic shaping for the user profile. If so, then a delay time can be calculated based on, or as a function of, server resources used in processing the current request, and a response to the current request can be delayed by the delay time.
Abstract:
Techniques to track resource usage statistics per transaction across multiple layers of protocols and across multiple threads, processes and/or devices are disclosed. In one embodiment, for example, a technique may comprise assigning an activity context to a request at the beginning of a first stage, where the activity context has an initial set of properties. The values of the properties may be assigned to the properties in the initial set during the first stage. The value of a property may be stored on a data store local to the first stage. The activity context may be transferred to a second stage when the request begins the second stage. The transferred activity context may include a property from the initial set of properties. The stored values may be analyzed to determine a resource usage statistic. Other embodiments are described and claimed.
Abstract:
A computer-implemented method for allocating threads includes: receiving a registration of a workload, the registration including a workload classification and a workload priority; monitoring statuses of a plurality of resources; identifying, by a computing device, a thread of a resource from the plurality of resources, the thread being programmed to execute a task associated with the workload; evaluating, by the computing device, the workload classification and the workload priority of the workload with workload classifications and workload priorities of other workloads requesting the thread; and allocating the thread to one of the workloads based on evaluation of the workload classification and the workload priority.
Abstract:
A computing system includes an authentication layer, the authentication layer being programmed to receive a request for resources of the computing system and to authenticate an identity of a user requesting the resources, and a command layer, the command layer being programmed to execute one or more commands from the request for resources, wherein the command layer logs characteristics associated with one or more of the commands, wherein the computing system monitors each logged command to determine when a threshold is met, and wherein the computing system blocks a subsequent request for resources from the user when the threshold is met.
Abstract:
A current request for a server to perform work for a user profile can be received and processed at the server. It can be determined whether server usage by the profile exhibits a sufficient trend toward a threshold value to warrant performing traffic shaping for the user profile. If so, then a delay time can be calculated based on, or as a function of, server resources used in processing the current request, and a response to the current request can be delayed by the delay time.
Abstract:
Techniques to track resource usage statistics per transaction across multiple layers of protocols and across multiple threads, processes and/or devices are disclosed. In one embodiment, for example, a technique may comprise assigning an activity context to a request at the beginning of a first stage, where the activity context has an initial set of properties. The values of the properties may be assigned to the properties in the initial set during the first stage. The value of a property may be stored on a data store local to the first stage. The activity context may be transferred to a second stage when the request begins the second stage. The transferred activity context may include a property from the initial set of properties. The stored values may be analyzed to determine a resource usage statistic. Other embodiments are described and claimed.