Patent application number | Description | Published |
20080263470 | Preview Mode - Various exemplary metadirectories, systems and/or methods include or allow for executing a software module on an execution engine, emitting semantic information based on the executing, and analyzing the executing using the semantic information. An exemplary execution engine includes an input for receiving software modules, an output for emitting semantic information, and an output for outputting generated output information. Upon execution, an exemplary software module may cause processing of information in a metadirectory and emitting of semantic information pertaining to the processing. Various exemplary metadirectories, systems and/or methods emit and/or store semantic information in a self-defining language, an extensible language, and/or a markup language. Other exemplary metadirectories, systems, and/or methods are also disclosed. | 10-23-2008 |
20080313640 | Resource Modeling and Scheduling for Extensible Computing Platforms - Energy management modeling and scheduling techniques are described for reducing the power consumed to execute an application on a multi-processor computing platform within a certain time period. In one embodiment, a sophisticated resource model which accounts for discrete operating modes for computing components/resources on a computing platform and transition costs for transitioning between each of the discrete modes is described. This resource model provides information for a specific heterogeneous multi-processor computing platform and an application being implemented on the platform in a form that can be processed by a selection module, typically utilizing an integer linear programming (ILP) solver or algorithm, to select a task schedule and operating configuration(s) for executing the application within a given time. | 12-18-2008 |
20090012633 | Environmental Monitoring in Data Facilities - Processes and techniques for environmental monitoring in a data facility are described. A network of environmental sensors is arranged to monitor a variety of environmental conditions of the facility. The sensors can be queried to generate data describing specific environmental conditions, and the data can be processed to generate an environmental image of all or part of the data facility. The environmental image can optionally be viewed by data facility personnel and can be used to manipulate one or more environmental conditions of the data facility. | 01-08-2009 |
20090113323 | DATA CENTER OPERATION OPTIMIZATION - Data center data associated with multiple systems and/or sources is integrated into a single system to aid efficient operation of a data center. Acquired raw data can be housed in a database, analyzed, and optimized. A user interface can render raw and/or generated data in intuitive manners (e.g., spatially, temporally . . . ) to facilitate interaction with a data center and/or components thereof. In particular, the interface can be employed to monitor and control operations as well as facilitate deployment and capacity planning, among other things. | 04-30-2009 |
20090125918 | SHARED SENSING SYSTEM INTERFACES - Various interfaces such as application programming interfaces (APIs) are employed to allow developers to construct applications that use multiple shared sensors. In one instance, a coordinator can be utilized to facilitate coordination of sensor data contributors and applications desirous of utilizing such data. Standardized interfaces can be employed to aid interaction between all entities including contributors, applications and a coordinator, amongst others. | 05-14-2009 |
20090222544 | FRAMEWORK FOR JOINT ANALYSIS AND DESIGN OF SERVER PROVISIONING AND LOAD DISPATCHING FOR CONNECTION-INTENSIVE SERVER - The claimed subject matter provides a system and/or a method that facilitates managing a number of active servers in a cluster. A forecast component can predict at least one of login rate or number of connections in the cluster at a future time. A dynamic load analysis component can evaluate dynamic behaviors in login rate and number of connections in the cluster as a result of load dispatching. Moreover, a provisioning component can determine a number of servers in the cluster needed based at least in part on the prediction and dynamic behavior analysis. In addition, the provisioning component can include an additional margin in the number of servers needed in accordance with multiplicative factors. | 09-03-2009 |
20090222562 | LOAD SKEWING FOR POWER-AWARE SERVER PROVISIONING - The claimed subject matter provides a system and/or a method facilitates energy-aware connection distribution among a plurality of servers in a cluster. A set of busy servers in the cluster can be provided that each handle a high number of connections. In addition, a set of tail servers in the cluster can be managed that each maintain a low number of connections. A load skewing component gives priority to at least a subset of the set of busy servers when dispatching new connection requests from a plurality of users. In addition, the load skewing component controls the number of tail servers to maintain a sufficient number for energy-aware operation. | 09-03-2009 |
20090322518 | DATA COLLECTION PROTOCOL FOR WIRELESS SENSOR NETWORKS - Systems and methods that provide for collection of sensor data in a wireless network with a dynamically changing structure. A data collection protocol exploits the self-awareness capabilities of nodes in selection of tree structures that form the wireless network during communication with a base station. The data collection protocol can further include a topology control component (which regulates how nodes are distributed among various tree structures and associated communication channels with the base station) and data retrieval component (which coordinates among the sensors to transmit data packets containing sensor data to efficiently employ available bandwidth). | 12-31-2009 |
20100325132 | QUERYING COMPRESSED TIME-SERIES SIGNALS - A system described herein includes a receiver component that receives a query that pertains to a raw time-series signal. A query executor component selectively executes the query over at least one of multiple available compressed representations of the raw time-series signal, wherein the query pertains to at least one of one of determining a trend pertaining to the raw time-series signal, generating a histogram pertaining to the raw time-series signal, or determining a correlation pertaining to the raw time-series signal. | 12-23-2010 |
20120246169 | QUERYING COMPRESSED TIME-SERIES SIGNALS - Technologies pertaining to compressing time-series signals are described herein. Groups of time-series signals are generated based upon similarities between time-series signals. Each group of time-series signals includes a respective base time-series signal. Ratio signals that are representative of time-series signals are computed, wherein the ratio signals are based upon the base time-series signal and other respective time-series signals in a group of time-series signals. | 09-27-2012 |
20130332442 | DEEP APPLICATION CRAWLING - The deep application crawling technique described herein crawls one or more applications, commonly referred to as “apps”, in order to extract information inside of them. This can involve crawling and extracting static data that are embedded within apps or resource files that are associated with the apps. The technique can also crawl and extract dynamic data that apps download from the Internet or display to the user on demand, in order to extract data. This extracted static and/or data can then be used by another application or an engine to perform various functions. For example, the technique can use the extracted data to provide search results in response to a user query entered into a search engine. Alternately, the extracted static and/or dynamic data can be used by an advertisement engine to select application-specific advertisements. Or the data can be used by a recommendation engine to make recommendations for goods/services. | 12-12-2013 |