Abstract: An auto-configuration server (ACS) and a management method of customer premises equipments (CPEs) thereof are provided, and the ACS includes a sub server communication module and a group management module. When an online message is received from a new CPE, the management method includes performing an extension procedure including the following steps. A health value of the ACS is calculated. When the health value of the ACS is less than or equal to a health threshold, a new group and a sub server corresponding to the new group are added and the new CPE is managed by the sub server corresponding to the new group.

Abstract: An auto-configuration server (ACS) and a management method of customer premises equipments (CPEs) thereof are provided, and the ACS includes a sub server communication module and a group management module. When an online message is received from a new CPE, the management method includes performing an extension procedure including the following steps. A health value of the ACS is calculated. When the health value of the ACS is less than or equal to a health threshold, a new group and a sub server corresponding to the new group are added and the new CPE is managed by the sub server corresponding to the new group.

Abstract: The present invention relates to a memory management system and method for open platform. The memory management system and method of the present invention utilizes the main spirit of sharing service in open platform. When the used memory in local open platform exceeds an upper limit, the standard service bundle access interface is used for accessing the standard service bundle in remote open platform. Therefore, the standard service bundle in local open platform can be off-loaded to release the memory space so as to resolve the memory shortage problem. The stability of the whole system can be maintained.

Abstract: Disclosed relates to an automatic fall behind warning method and system applied in a group activity environment. Each individual in the group corresponds to a node and all of such nodes form an independent network. The method initializes an outside node table for the group and gets a link quality index table (LQI table) among the nodes on the network. A table specifying outside and inside nodes for the network topology is generated via an algorithm. Then the method checks if there is a node being disappearing from the outside nodes of the generated table. If not, it updates the outside node table and continues to get a newest LQI table. If so, the node falls behind is confirmed and a warning notice is automatically generated once the disappearing node is not an inside node is verified. Otherwise, the method returns to the step of updating the outside node table.

Abstract: Disclosed relates to an automatic fall behind warning method and system applied in a group activity environment. Each individual in the group corresponds to a node and all of such nodes form an independent network. The method initializes an outside node table for the group and gets a link quality index table (LQI table) among the nodes on the network. A table specifying outside and inside nodes for the network topology is generated via an algorithm. Then the method checks if there is a node being disappeared from the outside nodes of the generated table. If not, it updates the outside node table and continues to get a newest LQI table. If so, the node falls behind is confirmed and a warning notice is automatically generated once the disappeared node is not an inside node is verified. Otherwise, the method returns to the step of updating the outside node table.

Abstract: The present invention relates to a memory management system and method for open platform. The memory management system and method of the present invention utilizes the main spirit of sharing service in open platform. When the used memory in local open platform exceeds an upper limit, the standard service bundle access interface is used for accessing the standard service bundle in remote open platform. Therefore, the standard service bundle in local open platform can be off-loaded to release the memory space so as to resolve the memory shortage problem. The stability of the whole system can be maintained.