摘要:
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.
摘要:
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.
摘要:
A method and system are provided for providing email continuity by automatically following up an email message to which a reply has not been received. A method in accordance with an embodiment of the invention includes: defining a workflow as a plurality of actions to be taken in a predetermined order, wherein the actions are configured to generate a response to an email message; indicating that a workflow is to be applied in relation to an email message to a recipient; and monitoring email activity to identify a reply from the recipient to the email message and, in the absence of a reply, automatically applying the workflow.
摘要:
A system for dynamically changing session behavior based on user and/or group classification in response to server demand. The system operates to dynamically alter current session behavior experienced by individual users and/or groups of users in response to monitored server demand. An intelligence server provides application servers with actions to be taken to dynamically change current user sessions, in response to current server demand, for example based on rules known by a rules engine within the intelligence server. A ranking system within the intelligence server takes its input from a monitoring system also in the intelligence server, and dynamically keeps track of individual user's relative ranks against other users that are actively being monitored.
摘要:
A system for dynamically changing session behavior based on user and/or group classification in response to server demand. The system operates to dynamically alter current session behavior experienced by individual users and/or groups of users in response to monitored server demand. An intelligence server provides application servers with actions to be taken to dynamically change current user sessions, in response to current server demand, for example based on rules known by a rules engine within the intelligence server. A ranking system within the intelligence server takes its input from a monitoring system also in the intelligence server, and dynamically keeps track of individual user's relative ranks against other users that are actively being monitored.