Abstract: Systems, methods, and media for generating heat maps of event data are provided herein. Methods may include gathering instances of event data according to a performance characteristic, discretely decomposing the instances by applying at least one constraint to the instances, assigning a hue to each instance, the hue being associated with the at least one constraint, and generating a heat map that includes representations of the instances, wherein each representation includes the hue associated with the at least one constraint to which the instance has been assigned.

Abstract: Systems, methods, and media for method for managing requests for computing resources. Methods may include dynamically throttling requests for computing resources generated by one or more tenants within a multi-tenant system, such as a cloud. In some embodiments, the present technology may dynamically throttle I/O operations for a physical storage media that is accessible by the tenants of the cloud. The present technology may dynamically throttle I/O operations to ensure fair access to the physical storage media for each tenant within the cloud.

Abstract: Systems, methods, and media for generating heat maps of event data are provided herein. Methods may include gathering instances of event data according to a performance characteristic, discretely decomposing the instances by applying at least one constraint to the instances, assigning a hue to each instance, the hue being associated with the at least one constraint, and generating a heat map that includes representations of the instances, wherein each representation includes the hue associated with the at least one constraint to which the instance has been assigned.

Abstract: Systems, methods, and media for method for managing requests for computing resources are provided herein. Methods may include dynamically throttling requests for computing resources generated by one or more tenants within a multi-tenant system, such as a cloud. In some embodiments, the present technology may dynamically throttle I/O operations for a physical storage media that is accessible by the tenants of the cloud. The present technology may dynamically throttle I/O operations to ensure fair access to the physical storage media for each tenant within the cloud.

Abstract: Systems, methods, and media for method for managing requests for computing resources are provided herein. Methods may include dynamically throttling requests for computing resources generated by one or more tenants within a multi-tenant system, such as a cloud. In some embodiments, the present technology may dynamically throttle I/O operations for a physical storage media that is accessible by the tenants of the cloud. The present technology may dynamically throttle I/O operations to ensure fair access to the physical storage media for each tenant within the cloud.

Abstract: A method for postmortem object type identification. In one method embodiment, the present invention accesses a memory dump. Next, a portion of the memory dump is partitioned into a first group of known memory object types. Additionally, a portion of the memory dump is partitioned into a second group of unknown memory object types. A first pointer, pointing from one of the first group of known memory object types to one of the second group of unknown memory object types, is then utilized to automatically infer the memory object type of one of the second group of unknown memory object types. A second pointer, pointing from the inferred memory object type to one of the second group of unknown memory object types is utilized to automatically infer a memory object type of another one of the second group of unknown memory object types.

Abstract: A system and method for monitoring the performance of a computer system by dynamically interposing an instrumented trap table. A base address of a trap table, which may be contained in a trap base address register, may be changed to indicate an instrumented trap table. An instrumented trap table may gather a variety of statistics, including the type of trap and an entry timestamp. An instrumented trap table may then call a non-instrumented trap table to process the trap. A non-instrumented trap table may pass control back to the instrumented trap table to collect further statistics, for example an exit timestamp. An instrumented trap table may then return process flow to the calling routing. In this manner, useful performance statistics may be gathered while trap events are processed by regular, optimized software.

Abstract: A method for utilizing postmortem object type identification to identify falsely shared memory objects is disclosed. In one method embodiment, the present invention accesses a postmortem object type identification containing type identifications for known nodes and inferred nodes. Next, an iteration for array nodes is performed on the postmortem object type identification. Then a list of the array nodes is generated, wherein the array nodes on the list are potential false sharing objects.

Abstract: A method for utilizing postmortem object type identification to identify falsely shared memory objects is disclosed. In one method embodiment, the present invention accesses a postmortem object type identification containing type identifications for known nodes and inferred nodes. Next, an iteration for array nodes is performed on the postmortem object type identification. Then a list of the array nodes is generated, wherein the array nodes on the list are potential false sharing objects.

Abstract: A method for postmortem object type identification. In one method embodiment, the present invention accesses a memory dump. Next, a portion of the memory dump is partitioned into a first group of known memory object types. Additionally, a portion of the memory dump is partitioned into a second group of unknown memory object types. A first pointer, pointing from one of the first group of known memory object types to one of the second group of unknown memory object types, is then utilized to automatically infer the memory object type of one of the second group of unknown memory object types. A second pointer, pointing from the inferred memory object type to one of the second group of unknown memory object types is utilized to automatically infer a memory object type of another one of the second group of unknown memory object types.

Abstract: A system and method for monitoring the performance of a computer system by dynamically interposing an instrumented trap table. A base address of a trap table, which may be contained in a trap base address register, may be changed to indicate an instrumented trap table. An instrumented trap table may gather a variety of statistics, including the type of trap and an entry timestamp. An instrumented trap table may then call a non-instrumented trap table to process the trap. A non-instrumented trap table may pass control back to the instrumented trap table to collect further statistics, for example an exit timestamp. An instrumented trap table may then return process flow to the calling routing. In this manner, useful performance statistics may be gathered while trap events are processed by regular, optimized software.