Abstract: A cloud computing system management system including a plurality of computing devices configured to host virtual machine instances, each computing device in the plurality of computing devices including a local agent that continuously evaluates the observed load relative to a utility maximization function. If observed load is higher than a calculated optimal level, individual loading processes are offered for “sale” via a market scheduler. If observed load is lower than a calculated optimal level, then available capacity is offered as a bid via the market scheduler. The market scheduler matches bids with available processes and coordinates the transfer of load from the selling device to the buying device. The offered prices and utility maximization functions can be employed to optimize the performance of the cloud system as a whole.

Abstract: A cloud computing system management system including a plurality of computing devices configured to host virtual machine instances, each computing device in the plurality of computing devices including a local agent that continuously evaluates the observed load relative to a utility maximization function. If observed load is higher than a calculated optimal level, individual loading processes are offered for “sale” via a market scheduler. If observed load is lower than a calculated optimal level, then available capacity is offered as a bid via the market scheduler. The market scheduler matches bids with available processes and coordinates the transfer of load from the selling device to the buying device. The offered prices and utility maximization functions can be employed to optimize the performance of the cloud system as a whole.

Abstract: A rack management method and system is disclosed. The method includes detecting the presence of a computing device releasably mounted in a frame, the detecting based on an electrical connection established between a configuration bar disposed in a rear portion of the frame and the computing device, and determining a physical location of the computing device within the frame based on the electrical connection. The method also includes retrieving management information about the computing device from a profile storage disposed within the computing device via the electrical connection and storing the management information in a management table, the management table associating the computing device with the physical location within the frame.

Abstract: A rack management method and system is disclosed. The method includes detecting the presence of a computing device releasably mounted in a frame, the detecting based on an electrical connection established between a configuration bar disposed in a rear portion of the frame and the computing device, and determining a physical location of the computing device within the frame based on the electrical connection. The method also includes retrieving management information about the computing device from a profile storage disposed within the computing device via the electrical connection and storing the management information in a management table, the management table associating the computing device with the physical location within the frame.

Abstract: A rack management method and system is disclosed. The method includes detecting the presence of a computing device releasably mounted in a frame, the detecting based on an electrical connection established between a configuration bar disposed in a rear portion of the frame and the computing device, and determining a physical location of the computing device within the frame based on the electrical connection. The method also includes retrieving management information about the computing device from a profile storage disposed within the computing device via the electrical connection and storing the management information in a management table, the management table associating the computing device with the physical location within the frame.

Abstract: A rack management method and system is disclosed. The method includes detecting the presence of a computing device releasably mounted in a frame, the detecting based on an electrical connection established between a configuration bar disposed in a rear portion of the frame and the computing device, and determining a physical location of the computing device within the frame based on the electrical connection. The method also includes retrieving management information about the computing device from a profile storage disposed within the computing device via the electrical connection and storing the management information in a management table, the management table associating the computing device with the physical location within the frame.

Abstract: A rack management method and system is disclosed. The method includes detecting the presence of a computing device releasably mounted in a frame, the detecting based on an electrical connection established between a configuration bar disposed in a rear portion of the frame and the computing device, and determining a physical location of the computing device within the frame based on the electrical connection. The method also includes retrieving management information about the computing device from a profile storage disposed within the computing device via the electrical connection and storing the management information in a management table, the management table associating the computing device with the physical location within the frame.

Abstract: A rack management method and system is disclosed. The method includes detecting the presence of a computing device releasably mounted in a frame, the detecting based on an electrical connection established between a configuration bar disposed in a rear portion of the frame and the computing device, and determining a physical location of the computing device within the frame based on the electrical connection. The method also includes retrieving management information about the computing device from a profile storage disposed within the computing device via the electrical connection and storing the management information in a management table, the management table associating the computing device with the physical location within the frame.

Abstract: Embodiments of the present disclosure disclose a rack adapter apparatus. The rack adapter apparatus includes a shelf configured to be mounted in a rack frame having a front opening of a first width and a rear opening of the first width, the shelf being further configured to support a computing device thereon, the computing device having a second width less than then first width and having a back-side port disposed thereon, the back-side port facing the rear opening when the computing device is supported by the shelf and the shelf is mounted in the rack frame. The rack adapter apparatus also includes a pass-through jack having a front port facing the front opening and a rear port facing the rear opening, the front and rear ports being electrically coupled, and the rear port being configured to be communicatively coupled to the back-side port of the computing device.

Abstract: A cloud computing system management system including a plurality of computing devices configured to host virtual machine instances, each computing device in the plurality of computing devices including a local agent that continuously evaluates the observed load relative to a utility maximization function. If observed load is higher than a calculated optimal level, individual loading processes are offered for “sale” via a market scheduler. If observed load is lower than a calculated optimal level, then available capacity is offered as a bid via the market scheduler. The market scheduler matches bids with available processes and coordinates the transfer of load from the selling device to the buying device. The offered prices and utility maximization functions can be employed to optimize the performance of the cloud system as a whole.

Abstract: A cloud computing system management system including a plurality of computing devices configured to host virtual machine instances, each computing device in the plurality of computing devices including a local agent that continuously evaluates the observed load relative to a utility maximization function. If observed load is higher than a calculated optimal level, individual loading processes are offered for “sale” via a market scheduler. If observed load is lower than a calculated optimal level, then available capacity is offered as a bid via the market scheduler. The market scheduler matches bids with available processes and coordinates the transfer of load from the selling device to the buying device. The offered prices and utility maximization functions can be employed to optimize the performance of the cloud system as a whole.

Abstract: A rack management method and system is disclosed. The method includes detecting the presence of a computing device releasably mounted in a frame, the detecting based on an electrical connection established between a configuration bar disposed in a rear portion of the frame and the computing device, and determining a physical location of the computing device within the frame based on the electrical connection. The method also includes retrieving management information about the computing device from a profile storage disposed within the computing device via the electrical connection and storing the management information in a management table, the management table associating the computing device with the physical location within the frame.

Abstract: A rack management method and system is disclosed. The method includes detecting the presence of a computing device releasably mounted in a frame, the detecting based on an electrical connection established between a configuration bar disposed in a rear portion of the frame and the computing device, and determining a physical location of the computing device within the frame based on the electrical connection. The method also includes retrieving management information about the computing device from a profile storage disposed within the computing device via the electrical connection and storing the management information in a management table, the management table associating the computing device with the physical location within the frame.

Abstract: A rack management method and system is disclosed. The method includes detecting the presence of a computing device releasably mounted in a frame, the detecting based on an electrical connection established between a configuration bar disposed in a rear portion of the frame and the computing device, and determining a physical location of the computing device within the frame based on the electrical connection. The method also includes retrieving management information about the computing device from a profile storage disposed within the computing device via the electrical connection and storing the management information in a management table, the management table associating the computing device with the physical location within the frame.

Abstract: A rack management method and system is disclosed. The method includes detecting the presence of a computing device releasably mounted in a frame, the detecting based on an electrical connection established between a configuration bar disposed in a rear portion of the frame and the computing device, and determining a physical location of the computing device within the frame based on the electrical connection. The method also includes retrieving management information about the computing device from a profile storage disposed within the computing device via the electrical connection and storing the management information in a management table, the management table associating the computing device with the physical location within the frame.

Abstract: Embodiments of the present disclosure disclose a rack adapter apparatus. The rack adapter apparatus includes a shelf configured to be mounted in a rack frame having a front opening of a first width and a rear opening of the first width, the shelf being further configured to support a computing device thereon, the computing device having a second width less than then first width and having a back-side port disposed thereon, the back-side port facing the rear opening when the computing device is supported by the shelf and the shelf is mounted in the rack frame. The rack adapter apparatus also includes a pass-through jack having a front port facing the front opening and a rear port facing the rear opening, the front and rear ports being electrically coupled, and the rear port being configured to be communicatively coupled to the back-side port of the computing device.

Abstract: According to one aspect, the present invention includes a support apparatus having a support hub with a chamber to house a plurality of support arms and a coupling member to adapt the support arms about an axis. The support arms may extend from the support hub, and at least one of the support arms can be movable about the axis. One or more of these support arms are insertable within a space between a first rack device and a second rack device of a rack to enable the support apparatus to be a mounting location for a peripheral device.

Abstract: A cloud computing system management system including a plurality of computing devices configured to host virtual machine instances, each computing device in the plurality of computing devices including a local agent that continuously evaluates the observed load relative to a utility maximization function. If observed load is higher than a calculated optimal level, individual loading processes are offered for “sale” via a market scheduler. If observed load is lower than a calculated optimal level, then available capacity is offered as a bid via the market scheduler. The market scheduler matches bids with available processes and coordinates the transfer of load from the selling device to the buying device. The offered prices and utility maximization functions can be employed to optimize the performance of the cloud system as a whole.