Abstract: Selecting a network connection for data communications with a networked device, including: identifying a plurality of networks available for data communications with the networked device, each network having network connection attributes; and selecting one of the plurality of networks in dependence upon the network connection attributes and the direction of data transfer.

Abstract: Selecting a network connection for data communications with a networked device, including: identifying a plurality of networks available for data communications with the networked device, each network having network connection attributes; and selecting one of the plurality of networks in dependence upon the network connection attributes and the direction of data transfer.

Abstract: Selecting a network connection for data communications with a networked device, including: identifying a plurality of networks available for data communications with the networked device, each network having network connection attributes; and selecting one of the plurality of networks in dependence upon the network connection attributes and the direction of data transfer.

Abstract: Selecting a network connection for data communications with a networked device, including: identifying a plurality of networks available for data communications with the networked device, each network having network connection attributes; and selecting one of the plurality of networks in dependence upon the network connection attributes and the direction of data transfer.

Abstract: Aspects of a distributed computing environment with remote data collection management include a management server, and a plurality of computer systems networked to and managed by the management server. Each of the plurality of computer systems includes a listening agent to receive process code from a management server and to control the periodic execution of the process code to collect data from the plurality of computer systems. The periodic execution occurs without requiring a connection to be maintained between the plurality of computer systems and the management server. Further, the data collected includes data collected from problem determination activities.

Abstract: A method and system for ordering and aggregating log streams. Log streams for events from different sources are received. If different sources have different recording cycles, or time epochs, that lead to different temporal granularities, then all of the log streams are combined into a single time epoch that is equal to the longest time epoch. Log streams from sources having shorter time epochs continue to retain information about their original time epochs, in order to retain information about the order of the events in those log streams. The log streams are re-ordered, both before and after being integrated into the aggregate log, by acquiring additional data from the different sources, thus permitting the likely cause/effect relationship between events.

Abstract: A method and system for ordering and aggregating log streams. Log streams for events from different sources are received. If different sources have different recording cycles, or time epochs, that lead to different temporal granularities, then all of the log streams are combined into a single time epoch that is equal to the longest time epoch. Log streams from sources having shorter time epochs continue to retain information about their original time epochs, in order to retain information about the order of the events in those log streams. The log streams are reordered, both before and after being integrated into the aggregate log, by acquiring additional data from the different sources, thus permitting the likely cause/effect relationship between events.

Abstract: A system is provided for managing a sales person. An automating server is configured to automate management of sales activities of the sales person selling an electronic advertisement product. A categorizing module is coupled to the automating server. The categorizing module is configured to define a category for businesses located within a targeted geographical area. A territory creation module is coupled to the automating server. The territory creator is configured to define a sales territory within the targeted geographical area for the sales person. The automating server is further configured to create the electronic advertisement product for the business based on the category and the sales territory. The automating server is further configured to generate leads for the sales person to sell the electronic advertisement product to the business within the sales territory.

Abstract: A method and system for ordering and aggregating log streams. Log streams for events from different sources are received. If different sources have different recording cycles, or time epochs, that lead to different temporal granularities, then all of the log streams are combined into a single time epoch that is equal to the longest time epoch. Log streams from sources having shorter time epochs continue to retain information about their original time epochs, in order to retain information about the order of the events in those log streams. The log streams are reordered, both before and after being integrated into the aggregate log, by acquiring additional data from the different sources, thus permitting the likely cause/effect relationship between events.

Abstract: A method and system for ordering and aggregating log streams. Log streams for events from different sources are received. If different sources have different recording cycles, or time epochs, that lead to different temporal granularities, then all of the log streams are combined into a single time epoch that is equal to the longest time epoch. Log streams from sources having shorter time epochs continue to retain information about their original time epochs, in order to retain information about the order of the events in those log streams. The log streams are re-ordered, both before and after being integrated into the aggregate log, by acquiring additional data from the different sources, thus permitting the likely cause/effect relationship between events.

Abstract: A method and system for ordering and aggregating log streams. Log streams for events from different sources are received. If different sources have different recording cycles, or time epochs, that lead to different temporal granularities, then all of the log streams are combined into a single time epoch that is equal to the longest time epoch. Log streams from sources having shorter time epochs continue to retain information about their original time epochs, in order to retain information about the order of the events in those log streams. The log streams are re-ordered, both before and after being integrated into the aggregate log, by acquiring additional data from the different sources, thus permitting the likely cause/effect relationship between events.