Abstract:
The present invention provides a storage system capable of preventing data loss when power failure or other failures occur to an external power supply, by determining whether the capacity corresponding to the write data can be saved from a volatile memory to a nonvolatile memory based on a charged capacity of a battery used as an internal power supply and a non-backed-up (not yet backed-up) data capacity from the volatile memory to the nonvolatile memory, when storing data from a host computer or a system drive to the volatile memory of the storage system. If it is determined that saving of data is possible, an area corresponding to the write data capacity is allocated in the volatile memory and data is written to the allocated area, but if it is determined that saving of data is not possible, the writing of data is suppressed.
Abstract:
A method, system, and computer program include receiving a request string, and mapping the received request string to a distinguishable request string and a collapsible request string. The received request string may be in the form of a JSP, a servlet, and remote Enterprise Java Bean calls. A user may be prompted to create rules for mapping of a received request string to a distinguishable request string and a collapsible request string.
Abstract:
An information processing apparatus includes a storage configured to store trace information relating to execution conditions of monitoring subjects, and a determination value, the determination value being a number of the monitoring subjects using a specific resource that can be used by the monitoring subjects, and a processor configured to increase the determination value by a predetermined value when one of the monitoring subjects starts to use the specific resource, reduce the determination value by the predetermined value when one of the monitoring subjects stops using the specific resource, and delete the trace information stored in the storage when the determination value indicates that none of the monitoring subjects are using the specific resource.
Abstract:
Rather than relying on pre-defined scheduling of secondary copy operations such as backup jobs, the illustrative opportunistic approach initiates secondary copy operations based on changing operational conditions in a storage management system. An adaptive backup readiness score is based on a number of backup-readiness operational factors. An illustrative enhanced data agent which is associated with the target database application (or other executable component) may monitor the operational factors and determine the backup readiness score based on weights assigned to the respective operational factors. The enhanced data agent may evaluate recent backup jobs to determine which of the operational factors that contributed to the backup readiness score may have been most relevant. Based on the most-relevant analysis, the enhanced data agent may adapt the weights assigned to the monitored operational factors, so that the backup readiness score may be more suitable and responsive to ongoing operational conditions in the system.
Abstract:
The disclosure discloses an apparatus for displaying a computer health index comprising: a health index calculator configured to calculate one or more health sub-indices, and calculate a computer health index based on the one or more health sub-indices, wherein each health sub-index is associated with one of one or more computer states, and reflects the health degree of the associated computer state; and a simple index display configured to receive the computer health index from the health index calculator, and displaying a small icon reflecting a value of said computer health index.
Abstract:
Apparatuses, methods, systems, and computer program products are disclosed for monitoring performance of multithreaded workloads. A workload module starts a workload comprising one or more threads. The workload reaches a steady state after a period of time. A data module receives a first set of performance data for each thread in response to the workload reaching the steady state. The first set of performance data is received concurrently for each thread. The data module receives a second set of performance data for each thread a period of time after the first set of performance data is received. The second set of performance data is received concurrently for each thread. A result module calculates one or more performance metrics for each thread based on the first and second sets of performance data.
Abstract:
Described are various embodiments of systems, devices and methods for generating locality-indicative data representations of data streams, and compressions thereof. In one such embodiment, a method is provided for determining an indication of locality of data elements in a data stream communicated over a communication medium. This method comprises determining, for at least two sample times, count values of distinct values for each of at least two distinct value counters, wherein each of the distinct value counters has a unique starting time; and comparing corresponding count values for at least two of the distinct value counters to determine an indication of locality of data elements in the data stream at one of the sample times.
Abstract:
Some implementations provide techniques and arrangements for causing an interrupt in a processor in response to an occurrence of a number of events. A first event counter counts the occurrences of a type of event within the processor and outputs a signal to activate a second event counter in response to reaching a first predefined count. The second event counter counts the occurrences of the type of event within the processor and causes an interrupt of the processor in response to reaching a second predefined count.
Abstract:
Apparatuses, methods, systems, and computer program products are disclosed for calculating a clock rate of a processor. A baseline data module receives a first set of performance data associated with a processor. The performance data is generated using a hardware element that captures performance data for the processor. The hardware element is external to the processor. An update data module receives a second set of performance data associated with the processor a predefined time interval after the first set of performance data is received. The second set of performance data corresponds to the first set of performance data. A rate module calculates a clock rate for the processor based on the first set of performance data and the second set of performance data.
Abstract:
Sequences of hierarchical records are aggregated and summarized. A capture log that includes a plurality of operations of a workload is received. A first data structure that models transaction types as sequences of nodes is created. The nodes identify operations in the workload. A present operation and a transaction identifier are read from the capture log. The transaction identifier is dissociated from a first node that identifies a prior operation. The transaction identifier is associated with a second node that identifies the present operation. In a second data structure that associates nodes with transaction identifiers, the first node is dissociated from the transaction identifier and the second node is associated with the transaction identifier. A summary of the workload is generated based, at least in part, on the first and second data structures. The summary includes signatures of transaction types and counts of instances of the transaction types.