Abstract: The system manages a data structure that defines at least one topic limit for each client computer. The data structure can cause each client computer to display different user interface formats based on a topic limit that is allowed per thread. The data structure causes some devices, which may have a limited viewing area, to only show a single-topic thread, while the data structure also causes other devices to display multi-topic threads. Thus, for high priority topics or for devices having a limited display area, the system can cause the display of a single-topic thread pertaining to a topic to which an incoming message corresponds. This feature can improve user interaction by bringing focus to high priority threads when messages of a particular topic are received at select devices, while allowing other devices to provide a broader perspective of thread formats having multiple topics when the same messages are received.

Abstract: The system manages a data structure that defines at least one topic limit for each client computer. The data structure can cause each client computer to display different user interface formats based on a topic limit that is allowed per thread. The data structure causes some devices, which may have a limited viewing area, to only show a single-topic thread, while the data structure also causes other devices to display multi-topic threads. Thus, for high priority topics or for devices having a limited display area, the system can cause the display of a single-topic thread pertaining to a topic to which an incoming message corresponds. This feature can improve user interaction by bringing focus to high priority threads when messages of a particular topic are received at select devices, while allowing other devices to provide a broader perspective of thread formats having multiple topics when the same messages are received.

Abstract: One or more data centers are selected to host an online conference. The selection of the data center is based on a set of metrics that are measured from ‘synthetic’ transactions. These synthetic transactions are sent between candidate data centers and the participants in the conference call in order to measure one or more performance metrics (e.g., link quality metrics such as delay, packet loss, etc.) These measured performance metrics are used to determine a centroid that represents the geometric center or ‘center of mass,’ of the link quality between participants and data centers. This ‘link quality centroid’ is used to select a subset of data centers as candidate data centers. The candidate data center with the best average performance metric(s) is selected as the data center to host the conference.

Abstract: A conference system is provided that includes a processor configured to provision a plurality of bridge telephone numbers having a plurality of different country codes, and receive a dial-out request for one of a plurality of attendees of a conference meeting for connecting to the conference meeting. The dial-out request includes a target telephone number associated with a communication device of the one of the plurality of attendees. The processor is further configured to select one of the provisioned plurality of bridge telephone numbers based on a result of a match between at least a country code of the selected bridge telephone number and the target telephone number, and cause dial-out to the target telephone number from the selected bridge telephone number.

Abstract: A conference system is provided that includes a processor configured to provision a plurality of bridge telephone numbers having a plurality of different country codes, and receive a dial-out request for one of a plurality of attendees of a conference meeting for connecting to the conference meeting. The dial-out request includes a target telephone number associated with a communication device of the one of the plurality of attendees. The processor is further configured to select one of the provisioned plurality of bridge telephone numbers based on a result of a match between at least a country code of the selected bridge telephone number and the target telephone number, and cause dial-out to the target telephone number from the selected bridge telephone number.

Abstract: An initial data center can be selected to host a communication session between multiple participants. This data center can be initially selected based, at least in part, on a first set of effective distances (e.g., representing distances between the initial data center and the first group of participants modified by effective distance factors). For example, the data center closest to the centroid can be selected. The effective distance factor (or weighting) can be based on one or more of the participant's device/driver type, the participant's network type, the participant's connection type, and a participant weighting factor. Then, as the multiple participants on the conference session change or the effective distances change (e.g., based on a change in connectivity), a second data center can be selected to host the communication session.

Abstract: One or more data centers are selected to host an online conference. The selection of the data center is based on a set of metrics that are measured from ‘synthetic’ transactions. These synthetic transactions are sent between candidate data centers and the participants in the conference call in order to measure one or more performance metrics (e.g., link quality metrics such as delay, packet loss, etc.) These measured performance metrics are used to determine a centroid that represents the geometric center or ‘center of mass,’ of the link quality between participants and data centers. This ‘link quality centroid’ is used to select a subset of data centers as candidate data centers. The candidate data center with the best average performance metric(s) is selected as the data center to host the conference.

Abstract: An initial data center can be selected to host a communication session between multiple participants. This data center can be initially selected based, at least in part, on a first set of effective distances (e.g., representing distances between the initial data center and the first group of participants modified by effective distance factors). For example, the data center closest to the centroid can be selected. The effective distance factor (or weighting) can be based on one or more of the participant's device/driver type, the participant's network type, the participant's connection type, and a participant weighting factor. Then, as the multiple participants on the conference session change or the effective distances change (e.g., based on a change in connectivity), a second data center can be selected to host the communication session.

Abstract: One or more data centers are selected to host an online conference. The selection of the data center is based on a set of metrics that are measured from ‘synthetic’ transactions. These synthetic transactions are sent between candidate data centers and the participants in the conference call in order to measure one or more performance metrics (e.g., link quality metrics such as delay, packet loss, etc.) These measured performance metrics are used to determine a centroid that represents the geometric center or ‘center of mass,’ of the link quality between participants and data centers. This ‘link quality centroid’ is used to select a subset of data centers as candidate data centers. The candidate data center with the best average performance metric(s) is selected as the data center to host the conference.

Abstract: Techniques for trunk routing using a service parameter are described. Generally, techniques described herein enable a service parameter for a communication session to be used to select a suitable communication trunk (e.g., a Session Initiation Protocol (SIP) trunk) for routing the communication session. In one example, a database of communication trunks is queried to identify a communication trunk that meets a service parameter for a communication session. In an additional or alternative implementation, a negotiation process can be employed to select a suitable communication trunk for routing a communication session.

Abstract: An initial data center can be selected to host a communication session between multiple participants. This data center can be initially selected based, at least in part, on a first set of effective distances (e.g., representing distances between the initial data center and the first group of participants modified by effective distance factors). For example, the data center closest to the centroid can be selected. The effective distance factor (or weighting) can be based on one or more of the participant's device/driver type, the participant's network type, the participant's connection type, and a participant weighting factor. Then, as the multiple participants on the conference session change or the effective distances change (e.g., based on a change in connectivity), a second data center can be selected to host the communication session.

Abstract: An initial data center is selected to host an online conference. This data center can be selected based on the geographical locations of the participants. Typically, the data center closest to the centroid of the participants is selected. During (or before) the conference call, an ‘effective’ centroid is calculated based on effective distances. Effective distances are based on a combination of the physical distance between a participant and a data center, and an effective distance factor (or weighting) that is based on one or more of the participant's device/driver type, the participant's network type, the participant's connection type, and a participant weighting factor.

Abstract: One or more data centers are selected to host an online conference. The selection of the data center is based on a set of metrics that are measured from ‘synthetic’ transactions. These synthetic transactions are sent between candidate data centers and the participants in the conference call in order to measure one or more performance metrics (e.g., link quality metrics such as delay, packet loss, etc.) These measured performance metrics are used to determine a centroid that represents the geometric center or ‘center of mass,’ of the link quality between participants and data centers. This ‘link quality centroid’ is used to select a subset of data centers as candidate data centers. The candidate data center with the best average performance metric(s) is selected as the data center to host the conference.

Abstract: An initial data center is selected to host an online conference. This data center can be selected based on the geographical locations of the participants. Typically, the data center closest to the centroid of the participants is selected. During (or before) the conference call, an ‘effective’ centroid is calculated based on effective distances. Effective distances are based on a combination of the physical distance between a participant and a data center, and an effective distance factor (or weighting) that is based on one or more of the participant's device/driver type, the participant's network type, the participant's connection type, and a participant weighting factor.