| Patent application number | Description | Published |
|---|
| 20080266726 | Cooling system for electrical devices - Embodiments include a server and a sensor that detects when a first fluid line to the server fails so a second fluid line to the server is activated. | 10-30-2008 |
| 20080266790 | SERVER WITH A FLEXIBLE COOLING SCHEME - A server with a flexible cooling scheme is disclosed. The server comprises a case having an inside and an outside. A first fan is positioned inside the case and configured to draw gas from a first area inside the case and force the gas past a first area to be cooled. A first opening in the case is configured to allow gas from outside the case to enter the first area. When the server is in a first cooling configuration the first fan is configured to force the gas past the first area to be cooled and out to the outside of the case through a second opening in the case. When the server is in a second cooling configuration, the server further comprises a heat exchanger located in the first area and configured to seal the first opening in the case thereby preventing outside gas from entering the first area. When the server is in the second cooling configuration, a sealing device is configured to seal the second opening thereby redirecting the first fan to force the gas past the first area to be cooled and back into the first area, thereby re-circulating the gas inside the case. | 10-30-2008 |
| 20080270572 | Scalable computing apparatus - Disclosed are scalable computing pods that may be embodied in trailers, storage containers, or other portable structures that optimize computing, power, cooling and building infrastructure. The pods integrate required power and cooling infrastructure to provide a standalone turnkey computing solution. A user connects the pod to utility AC power and a data pipe. The scalable computing pods utilize liquid cooling, eliminate coolant conversions, and eliminate unnecessary power conversion to drastically improve efficiency. | 10-30-2008 |
| 20080270691 | DYNAMIC STORAGE BASED ON PERFORMANCE THROTTLING - A system and method for dynamic storage based on performance throttling. The method comprises providing an array of storage devices coupled to a computing device. The method comprises determining a status of a system condition, such as ambient temperature. The method comprises throttling the operating speed of one or more storage devices in the array based on the status of the system condition. The method comprises determining relative frequency of access to data to be stored by the computing device in the array of storage devices. The method comprises optimizing storage of data by the computing device in the array of storage devices based at least in part on 1) relative frequency of access to data and 2) which of the one or more storage devices are throttled. | 10-30-2008 |
| 20080304230 | Heat-Sink Structure With Small Fin Gap Area - A heat-sink structure includes a base and fins, the latter defining gaps with a cross-sectional area less than 24 mm | 12-11-2008 |
| 20090031547 | METHOD OF MANUFACTURING A COMPUTING APPARATUS - A method of manufacturing a computing apparatus may include providing a plurality of computer components for the computing apparatus. The computing apparatus and the plurality of computer components can be transported from an origin to a geographically distant destination with a transport vehicle. Manufacture of the computing apparatus is substantially completed during the transporting of the computing apparatus. | 02-05-2009 |
| 20110007470 | CELL BOARD INTERCONNECTION ARCHITECTURE - According to at least one embodiment, a cell board interconnection architecture comprises an interconnection structure for interconnecting a plurality of cell boards, the interconnection structure configured to allow air to pass therethrough in a direction in which the cell boards couple therewith. | 01-13-2011 |
| Patent application number | Description | Published |
|---|
| 20090251860 | POWER-EFFICENT DATA CENTER - An illustrative power-efficient data center is described for operating in an uncontrolled environment in one scenario. The data center includes an air moving system that applies unconditioned air to its resource items. The resource items are stripped down to provide a substantially minimum set of components for performing the data center's core functions. Various illustrative techniques for managing a power-efficient data center are also described. | 10-08-2009 |
| 20090254763 | MANAGEMENT OF POWER-EFFICIENT DATA CENTER - An illustrative power-efficient data center is described for operating in an uncontrolled environment in one scenario. The data center includes an air moving system that applies unconditioned air to resource items. The resource items are stripped down to provide a substantially minimum set of components for performing the data center'core functions. Various illustrative techniques for managing a power-efficient data center are also described. | 10-08-2009 |
| 20100141039 | HIGH AVAILABILITY, HIGH EFFICIENCY DATA CENTER ELECTRICAL DISTRIBUTION - Unlike symmetric power feeds for dual-corded server environments, an asymmetrical power system for high availability environments uses an imbalanced power feed system, allowing lower cost implementation and, in some cases, reduced energy loss in the primary power supply path. One asymmetric power feed uses a direct power feed to supply normal operating power and uses a second system to supply back up power via a switched, conditioned, path with UPS and generator. Because the main power delivery is through the direct line, reliability and power loss are improved. | 06-10-2010 |
| 20100188810 | SELF-CONTAINED AND MODULAR AIR-COOLED CONTAINERIZED SERVER COOLING - A modular server cooling unit user standard dimension modules to build a variety of components for use in cooling a server or server farm. One module may be the module in which the server(s) are mounted. Another module may be an exhaust plenum, drawing air through the server module and exhausting the air to the outside. A third module may be a cooling module through which outside air is drawn, filtered and optionally cooled, for example, using an adiabatic, or water-wash, cooler. Exhaust air may be selectively mixed with air from the cooling module to provide finer control of server temperature and humidity. | 07-29-2010 |
| 20100223085 | MODULARIZATION OF DATA CENTER FUNCTIONS - In one example, a data center may be built in modular components that may be pre-manufactured and separately deployable. Each modular component may provide functionality such as server capacity, cooling capacity, fire protection, resistance to electrical failure. Some components may be added to the data center by connecting them to the center's utility spine, and others may be added by connecting them to other components. The spine itself may be a modular component, so that spine capacity can be expanded or contracted by adding or removing spine modules. The various components may implement functions that are part of standards for various levels of reliability for data centers. Thus, the reliability level that a data center meets may be increased or decreased to fit the circumstances by adding or removing components. | 09-02-2010 |
| 20100333105 | PRECOMPUTATION FOR DATA CENTER LOAD BALANCING - Pre-computing a portion of forecasted workloads may enable load-balancing of data center workload, which may ultimately reduce capital and operational costs associated with data centers. Computing tasks performed by the data centers may be analyzed to identify computing tasks that are eligible for pre-computing, and may be performed prior to an actual data request from a user or entity. In some aspects, the pre-computing tasks may be performed during a low-volume workload period prior to a high-volume workload period to reduce peaks that typically occur in data center workloads that do not utilize pre-computation. Statistical modeling methods can be used to make predictions about the tasks that can be expected to maximally contribute to bottlenecks at data centers and to guide the speculative computing. | 12-30-2010 |
