Abstract: A method and apparatus for managing messages is disclosed. A data processing system identifies a presence of a person in a meeting at a location using calendar information. The data processing system also identifies a computing device in the location having a connection to a network. The data processing system then sends a notification to the computing device identified in the location, responsive to the data processing system identifying a message for the person when the person is meeting in the location.

Abstract: A method and apparatus for managing messages is disclosed. A data processing system identifies a presence of a person in a meeting at a location using calendar information. The data processing system also identifies a computing device in the location having a connection to a network. The data processing system then sends a notification to the computing device identified in the location, responsive to the data processing system identifying a message for the person when the person is meeting in the location.

Abstract: A solution for retrieving data from a plurality of different sources, wherein the data are retrieved from the different sources by means of respective data retrieval jobs having respective execution times. A data retrieval jobs execution list is built by ordering the data retrieval jobs to be executed in order of decreasing execution times. Next, the data retrieval jobs are executed according to the data retrieval jobs execution list.

Abstract: Exemplary embodiments of the present invention provide a solution that comprises the capability to dispatch jobs to target system according to the declared resource consumption by providing a way for automatically calculating the resource consumption at a target processing system. The algorithmic solution provided can also be utilized by standalone reporting tools to calculate resource consumption offline and show resource impact based upon database query results in the event that data samples are available. The solution provided by exemplary embodiments of the present invention is obtained by reducing the resource consumption problem to an optimization problem involving a set of linear equations.

Abstract: An arbitrary metric stream is processed initially at an interim sampling rate to derive a plurality of samples. The samples are analyzed preferably to determine an estimate of the effective bandwidth of the metric stream. As a result of the analysis, an improved sampling rate is determined and adopted for further sampling. In a preferred embodiment, the improved sampling rate is a function of the effective bandwidth.

Abstract: A solution for retrieving data from a plurality of different sources, wherein the data are retrieved from the different sources by means of respective data retrieval jobs having respective execution times. A data retrieval jobs execution list is built by ordering the data retrieval jobs to be executed in order of decreasing execution times. Next, the data retrieval jobs are executed according to the data retrieval jobs execution list.

Abstract: An arbitrary metric stream is processed initially at an interim sampling rate to derive a plurality of samples. The samples are analyzed preferably to determine an estimate of the effective bandwidth of the metric stream. As a result of the analysis, an improved sampling rate is determined and adopted for further sampling. In a preferred embodiment, the improved sampling rate is a function of the effective bandwidth.

Abstract: A solution (600) for retrieving information (for example, monitoring data such as heartbeat signals) is proposed. The information is collected (603-612) periodically on a central server (110) from remote sources (105); multiple clients (120) then download (615-630) the information from the server with a time pattern that is tied to the period of the collection. In the proposed solution, each client at every iteration estimates (633) the time at which the different information items will be received on the server from the corresponding sources at the next iteration (for example, considering a delay for their collection equal to the one of the last iteration). The client then determines (636-651) the time of the next request to be submitted to the server so as to minimize the corresponding total age of the information items.

Abstract: A method (300) for delivering monitoring data is proposed. The monitoring data is collected on a central server from selected managed computers, in order to be provided to multiple clients (in response to periodic requests). In the method of the invention, for each managed computer the central server estimates (336;351-354) an expected duration of a next collection of the monitoring data (according to the duration of one or more preceding collections). A trigger delay of the next collection is then calculated by subtracting (366) a time advance to the expected time of the next request (defined by the corresponding period); the time advance is based (339-348;357;363) on the expected duration of the next collection, suitably incremented by a safety margin (so as to prevent receiving the next request before the corresponding collection has completed). The monitoring data is then pre-fetched (315-324) from the managed computer when the trigger delay expires.