Abstract:
A storage system writes a data element stored in a primary volume to a secondary volume constituting a volume pair with the primary volume in accordance with a selected storage mode, which is a data storage mode selected from a plurality of types of data storage modes. This storage system is provided with a function for switching the above-mentioned selected storage mode from a currently selected data storage mode to a different type of data storage mode.
Abstract:
A system and method for reducing power consumption of memory chips outside of a host processor device inoperative communication with the memory chips via a memory controller. The memory can operate in modes, such that via the memory controller, the stored data can be localized and moved at various granularities, among ranks established in the chips, to result in fewer operating ranks. Memory chips may then be turned on and off based on host memory access usage levels at each rank in the chip. Host memory access usage levels at each rank in the chip is tracked by performance counters established for association with each rank of a memory chip. Turning on and off of the memory chips is based on a mapping maintained between ranks and address locations corresponding to sub-sections within each rank receiving the host processor access requests.
Abstract:
An approach is provided to gather items of usage data that pertain a number of instrumented software modules that are included in a software offering. The usage data is gathered from a number of customer installations of the software offering. Usage statistics are computed for the software modules and are used to determine support levels for the instrumented software modules. In another aspect, an approach is provided that detects execution of the software modules included in a software offering. Usage statistics are recorded in a local data store. One of the usage statistics is a module identifier that the software module that was executed. In addition, the usage statistics track the number of times each of the software modules was executed. The usage statistics are periodically transmitting a computer network to a software provider that develops and maintains the software offering.
Abstract:
An approach is provided to gather items of usage data that pertain a number of instrumented software modules that are included in a software offering. The usage data is gathered from a number of customer installations of the software offering. Usage statistics are computed for the software modules and are used to determine support levels for the instrumented software modules. In another aspect, an approach is provided that detects execution of the software modules included in a software offering. Usage statistics are recorded in a local data store. One of the usage statistics is a module identifier that the software module that was executed. In addition, the usage statistics track the number of times each of the software modules was executed. The usage statistics are periodically transmitting a computer network to a software provider that develops and maintains the software offering.
Abstract:
Embodiments of the invention relate to implementing run-time instrumentation indirect sampling by instruction operation code. An aspect of the invention includes reading sample-point instruction operation codes from a sample-point instruction array, and comparing, by a processor, the sample-point instruction operation codes to an operation code of an instruction from an instruction stream executing on the processor. A sample point is recognized upon execution of the instruction with the operation code matching one of the sample-point instruction operation codes. The run-time instrumentation information is obtained from the sample point. The run-time instrumentation information is stored in a run-time instrumentation program buffer as a reporting group.
Abstract:
A system, method, and computer program product that captures performance-characteristic data from the execution of a program and models system performance based on that data. Performance-characterization data based on easily captured reuse distance metrics is targeted. Reuse distance for one memory operation may be measured as the number of memory operations that have been performed since the memory object it accesses was last accessed. Separate call stacks leading up to the same memory operation are identified and statistics are separated for the different call stacks. Methods for efficiently capturing this kind of metrics are described. These data can be refined into easily interpreted performance metrics, such as performance data related to caches with LRU replacement and random replacement strategies in combination with fully associative as well as limited associativity cache organizations. Methods for assessing cache utilization as well as parallel execution are covered. The method includes modeling multithreaded memory systems and detecting false sharing coherence misses.
Abstract:
Web conference performance monitoring systems enable presenters to monitor their audience's content receiving experience and modify their content's transmission characteristics to resolve technical difficulties. A system for monitoring a Web conference's performance includes a local processor; memory operably connected to the local processor; a monitor operably connected to the local processor; content loaded into memory and operable by the local processor; and an audience screen preview program loaded into the memory and operable by the local processor, wherein the audience screen preview program instructs the local processor to measure network throughput of a network connection between the local processor and a remote processor and display at least a portion of the content on the monitor operably connected to the local processor by simulating the content being transmitted to the monitor operably connected to the local processor over the network connection.
Abstract:
An analysis system may perform network analysis on data gathered from an executing application. The analysis system may identify relationships between code elements and use tracer data to quantify and classify various code elements. In some cases, the analysis system may operate with only data gathered while tracing an application, while other cases may combine static analysis data with tracing data. The network analysis may identify groups of related code elements through cluster analysis, as well as identify bottlenecks from one to many and many to one relationships. The analysis system may generate visualizations showing the interconnections or relationships within the executing code, along with highlighted elements that may be limiting performance.
Abstract:
An Extended Input/output (I/O) measurement word facility is provided. Provision is made for emulation of the Extended I/O measurement word facility. The facility provides for storing measurement data associated with a single I/O operation in an extended measurement word associated with an I/O response block. In a further aspect, the stored data may have a resolution of approximately one-half microsecond.
Abstract:
Provided are methods and computer program products for monitoring system calls in an operating system using safely removable system function table chaining. Methods may include loading a collector application driver providing one or more dispatch functions corresponding to one or more system functions, each dispatch function operable to call a pre-hook function prior to calling a system function, to call the system function, and to call a post-hook function following the call to the system function. A metadata block in pinned kernel memory contains, for each system function, access descriptors to the system function and the pre- and/or post-hook functions for the system function. The dispatch functions are copied into the pinned kernel memory, and the operating system's access descriptors for the system functions are altered to instead point to the corresponding dispatch functions.