Abstract: A system and method intelligently control power consumption of distributed services using a computer system that provides independent computing elements each capable of entering a power saving mode. In accordance with the present invention, three different algorithms are disclosed. The first algorithm is a reduced load power saving algorithm. As the load decreases, duplicate instances of services can be gracefully suspended and the host processor cards hosting these instances can enter a power saving mode. The second algorithm is a priority-based power consumption reduction algorithm. If power consumption must be reduced, services having less of a contribution to revenue are suspended before components that having a higher contribution to revenue. The third algorithm is a minimal power-consuming redundant computing hardware algorithm that allows a “cold spare” host processing card to be pressed into service if another card fails.

Abstract: A CompactPCI blade assembly includes a main printed circuit assembly (PCA), a mezzanine PCA, an electrical connector, and at least one support structure. The main PCA is couplable to a connector plane of a CompactPCI-based computer system. The electrical connector is coupled between the mezzanine PCA and the main PCA. The at least one support structure is mechanically coupled between the main PCA and the mezzanine PCA and establishes a board-to-board distance between the mezzanine PCA and the main PCA of at least one slot unit width.

Abstract: A system and method to intelligently control power consumption of distributed services using a computer system that provides independent computing elements each capable of entering a power saving mode. The first algorithm is a reduced load power saving algorithm. As the load decreases, duplicate instances of services can be gracefully suspended and the host processor cards hosting these instances can enter a power saving mode. The second algorithm is a priority-based power consumption reduction algorithm. If power consumption must be reduced, services having less of a contribution to revenue are suspended before components that having a higher contribution to revenue. The third algorithm is a minimal power-consuming redundant computing hardware algorithm that allows a “cold spare” host processor card to be pressed into service if another card fails.

Abstract: A CompactPCI blade assembly includes a main printed circuit assembly (PCA), a mezzanine PCA, an electrical connector, and at least one support structure. The main PCA is couplable to a connector plane of a CompactPCI-based computer system. The electrical connector is coupled between the mezzanine PCA and the main PCA. The at least one support structure is mechanically coupled between the main PCA and the mezzanine PCA and establishes a board-to-board distance between the mezzanine PCA and the main PCA of at least one slot unit width.

Abstract: The present invention relates to the efficient distribution of equipment for communication modules in a communication networking environment. Where a plurality communication devices serves a networking function, economy of cost and space are obtained by providing equipment and functionality for the individual computing devices from a centralized location such as a base station thereby enabling a simpler and less expensive design for the individual communication devices. The individual computing devices may thereby be made much smaller effecting savings in space at an Internet service provider location. Savings are also obtained by reducing the total number of components required and by reducing the total power consumption of the totality of the hardware in the network. Equipment most amenable to removal from the individual units and centralization in a base station include the main power supply, backup power supply, cooling fans.

Abstract: The present invention relates to the efficient distribution of equipment for communication modules in a communication networking environment. Where a plurality communication devices serves a networking function, economy of cost and space are obtained by providing equipment and functionality for the individual computing devices from a centralized location such as a base station thereby enabling a simpler and less expensive design for the individual communication devices. The individual computing devices may thereby be made much smaller effecting savings in space at an Internet service provider location. Savings are also obtained by reducing the total number of components required and by reducing the total power consumption of the totality of the hardware in the network. Equipment most amenable to removal from the individual units and centralization in a base station include the main power supply, backup power supply, cooling fans.

Abstract: An interconnection architecture allows a digital system to be sold with a switched or ring topology interconnection fabric that can evolve into a point-to-point interconnection fabric as the computer system is expanded, and is capable of supporting high and low end computer systems with a single design. In accordance with the present invention, unique point-to-point interconnections are provided between each pair of modules. In one embodiment, a functional unit is coupled to an adaptive 1-of-N switch, which in turn is coupled to the interconnection fabric to form a switched topology. In a second embodiment, modules are coupled to a full 3×3 switch that fronts an adaptive 2-of-N switch. The second embodiment can be coupled into a ring or switched topology, and can be used to provide additional bandwidth and redundancy.

Abstract: A system and method intelligently control power consumption of distributed services using a computer system that provides independent computing elements each capable of entering a power saving mode. In accordance with the present invention, three different algorithms are disclosed. The first algorithm is a reduced load power saving algorithm. As the load decreases, duplicate instances of services can be gracefully suspended and the host processor cards hosting these instances can enter a power saving mode. The second algorithm is a priority-based power consumption reduction algorithm. If power consumption must be reduced, services having less of a contribution to revenue are suspended before components that having a higher contribution to revenue. The third algorithm is a minimal power-consuming redundant computing hardware algorithm that allows a “cold spare” host processor card to be pressed into service if another card fails.

Abstract: A system and method intelligently control power consumption of distributed services using a computer system that provides independent computing elements each capable of entering a power saving mode. In accordance with the present invention, three different algorithms are disclosed. The first algorithm is a reduced load power saving algorithm. As the load decreases, duplicate instances of services can be gracefully suspended and the host processor cards hosting these instances can enter a power saving mode. The second algorithm is a priority-based power consumption reduction algorithm. If power consumption must be reduced, services having less of a contribution to revenue are suspended before components that having a higher contribution to revenue. The third algorithm is a minimal power-consuming redundant computing hardware algorithm that allows a “cold spare” host processing card to be pressed into service if another card fails.

Abstract: A system and method intelligently control power consumption of distributed services using a computer system that provides independent computing elements each capable of entering a power saving mode. In accordance with the present invention, three different algorithms are disclosed. The first algorithm is a reduced load power saving algorithm. As the load decreases, duplicate instances of services can be gracefully suspended and the host processor cards hosting these instances can enter a power saving mode. The second algorithm is a priority-based power consumption reduction algorithm. If power consumption must be reduced, services having less of a contribution to revenue are suspended before components that having a higher contribution to revenue. The third algorithm is a minimal power-consuming redundant computing hardware algorithm that allows a “cold spare” host processing card to be pressed into service if another card fails.