Abstract:
An approach that provides assigning and tracking inter-Cloud operational transactions within a Cloud computing environment in order to meter Cloud resource usage when processing a Cloud service request. In one embodiment, there is a Cloud usage and accounting tool, including a route management component configured to define and manage the physical implementation of delineation points between Clouds. The Cloud usage and accounting tool further includes a workflow control component configured to track inter-Cloud operational transactions as they pass through the delineation points.
Abstract:
A transaction processing system that includes a communications bridge between clients and a transaction processing engine provides a way to correlate events associated with the communications bridge and events associated with the transaction processing engine. By passing a unique identification information with the transaction requests and response between the communications bridge and transaction processing engine and including the unique identification information in logging information created by each, a correlation utility may correlate logging information to create a more complete view of the events associated with a transaction, including end-to-end response times.
Abstract:
A method to detect potential problems within a heterogeneous and diverse application environment. Operations data is received from a plurality of application servers within the application environment. The operations data pertains to operations performed at the plurality of application servers over a predetermined time interval. The operations data is aggregated. The aggregated data is compared to reference data, and a potential problem within the application environment is detected if the aggregated data deviates from the reference data in a predetermined manner.
Abstract:
An application monitoring system monitors one or more applications to generate and report application performance data for transactions. Actual performance data for one or more metrics is compared with a baseline metric value(s) to detect anomalous transactions or components thereof. Automatic baselining for a selected metric is provided using variability based on a distribution range and arithmetic mean of actual performance data to determine an appropriate sensitivity for boundaries between comparison levels. A user-defined sensitivity parameter allows adjustment of baselines to increase or decrease comparison sensitivity for a selected metric. The system identifies anomalies in transactions, components of transaction based on a comparison of actual performance data with the automatically determined baseline for a corresponding metric. The system reports performance data and other transactional data for identified anomalies.
Abstract:
A method, apparatus and computer-usable medium for improved load testing of subsystems comprising a larger system by intelligently and stochastically distracting virtual users from healthy subsystems such that they collaboratively converge on a subsystem exhibiting operating health problems. Virtual users are progressively targeted at a degraded subsystem to force it to sustain its respective share of a test workload, thereby exacerbating its behavior to facilitate problem determination and resolution. Virtual users that have failed or terminated in an unhealthy subsystem are replaced by selectively and intelligently redistributing virtual users from healthy systems. As virtual users are redistributed to the degraded subsystem and fail or terminate, additional performance and behavior data is generated as the subsystem degrades to an unusable or non-operational state. By accelerating time-to-failure, test cycle intervals are reduced and the number of identified performance defects are maximized.
Abstract:
Provided are methods and computer program products for generating a model of network application health. Methods may include receiving activity data that corresponds to activities of multiple applications that are operable to execute on at least one networked device, and combining the received activity data to remove redundant portions thereof and/or to reconcile inconsistencies therein. Based on the received activity data, ones of the multiple applications are identified, and relationships between the identified applications are determined. A model is generated including the identified applications and the relationships therebetween, and a representation of the model is displayed. Related computer program products are also provided.
Abstract:
A method and apparatus for determining the usage of space in a database is provided. A first set of space usage data that reflects the amount of free space associated with one or more tablespaces of a database is stored at a first database server. A second set of space usage data is retrieved from one or more other database servers. The first set of space usage data and the second set of space usage data are both updated based on changes made to the database by the particular database server storing the space usage data. The first set of space usage data is updated at the first database server with the second set of space usage data. The first database server may evaluate the usage of space in the database based on the updated first set of space usage data.
Abstract:
An automated system and method for predicting a future resource utilization tendency by analyzing a change in resource usage on the basis of a real operation condition in a computer system. A CPU utilization estimating unit acquires a resource log and a transaction log, and estimates utilization for each transaction, and information on the number of executions for each transaction, a processing amount predicting unit performs a statistical time-series analysis on the basis of time-series data of the number of executions for each transaction included in the transaction log and predicts an amount of processing for each type of a transaction, and a resource utilization predicting unit predicts the computer resource utilization or demand on from the estimated resource utilization for each transaction and the future predicted amount of processing for each transaction.
Abstract:
A method of using a device, including monitoring host activity in an autonomous manner, without the host reporting to the device about its activity. The method also including initiating communications from the device and using resources of the host for such communications, thereby enabling the device to function as a proactive device.
Abstract:
Techniques and systems are disclosed that can measure capacity of a server farm, and project capacity needs based on traffic and resources. Server farm system information is collected for managing the server farm by identifying a list of servers in the server farm. Performance metrics are collected from identified servers and stored in a collection database. The stored performance metrics are analyzed in accordance with a server farm management request.