55 results about "Scalable computing" patented technology

Access permission can be assigned to a particular individually executable portion of computer executable code (“component-specific access permission”) and enforced in connection with accessing the services of a service provider by the individually executable portion (or component). It should be noted that least one of the individually executable portions can request the services when executed by a dynamically scalable computing resource provider. In addition, general and component-specific access permissions respectively associated with executable computer code as a whole or one of it specific portions (or components) can be cancelled or rendered inoperable in response to an explicit request for cancellation.

This invention relates to computer systems and hardware, and in particular to a radial computer system, hardware for building a radial computer system and a method for building a radial computer system. According to one aspect of the invention, a clustering concept for a scalable computer system includes computer elements aligned by a joiner into an arc shaped configuration. The radial configuration of the cluster and associated hardware provide a computer system that reduces high speed cable lengths, provides additional connection points for the increased number of cable connections, provides electromagnetic interference shielding, and provides additional space for cooling hardware. These features result in an improved scalable computer system.

A computing system capable of associating annotations with millions of content sources is described. An annotation is any content associated with a document space. The document space is any document identified by a document identifier. The document space provides the context for the annotation. An annotation is represented as an object having a plurality of properties. The annotation is associated with a content source using a document identifier property. The document identifier property identifies the content source with which the annotation is associated. A scalable computing system for managing annotations responds to requests for presenting annotations to millions of documents a day. The computing system consists of multiple tiers of servers. A tier I server indicates whether there are annotations associated with a content source. A tier II server provides an index to the body of the annotations. A tier III server provides the body of the annotation.

Multiple peer groups for performing computing, communication, and/or storage tasks. A method may be performed for example, in a computing environment including one or more agents networked together. The method includes providing data to the agents using two or more distinct peer groups. The peer groups include members from among the agents. The method further includes performing at each of the peer groups operations on the data. Each peer group is configured to perform a specific operation. The method also includes coordinating the operations at each of the peer groups such that a common computing, communication and/or storage task is accomplished by aggregating the operations at each of the peer groups.

A modular computer system includes at least two processing functional modules each including a processing unit adapted to process data and adapted to input/output data to other functional modules through at least two ports with each port including a plurality of data lines. At least one routing functional module is adapted to route data and adapted to input/output data to other functional modules through at least two ports with each port including a plurality of data lines. At least one input or output functional module is adapted to input or output data and adapted to input/output data to other functional modules through at least one port including a plurality of data lines. Each processing, routing and input or output functional module includes a local controller adapted to control the local operation of the associated functional module, wherein the local controller is adapted to input and output control information over control lines connected to the respective ports of its functional module. At least one system controller functional module is adapted to communicate with one or more local controllers and provide control at a level above the local controllers. Each of the functional modules adapted to be cabled together with a single cable that includes a plurality of data lines and control lines such that control lines in each module are connected together and data lines in each unit are connected together. Each of the local controllers adapted to detect other local controllers to which it is connected and to thereby collectively determine the overall configuration of a system.

An embodiment of a network of extendable computer resources creates a virtual computing environment for a remote client. The network allocates at least some of the extendable computer resources to the virtual computing environment and compressively represents video output information of the virtual computing environment as an encoded data stream. The encoded data stream is communicated to the remote client, and input information to control the resources allocated to the virtual computing environment is received from the remote client. An embodiment of a local computing client receives a multiframe motion picture stream of encoded signals that represent the video output of a virtual computing environment hosted by a remote computer source. The local computing client decodes the motion picture stream, accepts input information operable to control the virtual computing environment, and communicates the input information to the remote computer source.

The invention discloses a node controller, a parallel computing server system and a route method, wherein the node controller is located in one node of the parallel computing server system and can comprise a high-speed interconnected interface and an external network interface, the high-speed interconnected interface is connected with a high-speed interconnected interface of a processor in the node and used for carrying out mutual data transmission with the high-speed interconnected interface of the processor, and the external network interface is connected with external network interfaces of other nodes in the parallel computing server system and used for carrying out mutual data transmission with the external network interfaces of the other nodes. Therefore, scale of the computing server system can be expanded, and performance of the computing server system is improved.

The invention described here is intended for enhancing the technology domain of real-time and high-performance distributed computing. This invention provides a connotative and intuitive grammar that allows users to define how data is to be automatically encoded/decoded for transport between computing systems. This capability eliminates the need for hand-crafting custom solutions for every combination of platform and transport medium. This is a software framework that can serve as a basis for real-time capture, distribution, and analysis of large volumes and variety of data moving at rapid or real-time velocity. It can be configured as-is or can be extended as a framework to filter-and-extract data from a system for distribution to other systems (including other instances of the framework). Users control all features for capture, filtering, distribution, analysis, and visualization by configuration files (as opposed to software programming) that are read at program startup. It enables large scalable computation of high velocity data over distributed heterogeneous platforms. As compared with conventional approaches to data capture which extract data in proprietary formats and rely upon post-run standalone analysis programs in non-real-time, this invention also allows data streaming in real-time to an open range of analysis and visualization tools. Data treatment options are specified via end-user configuration files as opposed to hard-coding software revisions.

A method is provided to verify the computational results of a transaction processing system utilizing cloud resources in a high-availability and scalable fashion. A transaction is allowed to modify an application's state only if the validity of the result of the processing of the transaction is verified across the majority of the participating child nodes in the cloud. Otherwise, the transaction is aborted.

Multiple peer groups for performing computing, communication, and/or storage tasks. A method may be performed for example, in a computing environment including one or more agents networked together. The method includes providing data to the agents using two or more distinct peer groups. The peer groups include members from among the agents. The method further includes performing at each of the peer groups operations on the data. Each peer group is configured to perform a specific operation. The method also includes coordinating the operations at each of the peer groups such that a common computing, communication and/or storage task is accomplished by aggregating the operations at each of the peer groups.

A collaborative services platform may include a connectivity service, an activity service and a contact management service. The connectivity service may provide communicative connectivity between users of the collaborative services platform. The activity service may provide one or more collaborative activities supporting various modes of communication. The contact management service may maintain contact information for each of the users of the collaborative service platform. It may be that not every user is capable of participating in every collaborative activity. The contact information maintained by the contact management service may indicate the collaborative activities in which each user is capable of participating. A set of programmatic objects utilized to implement the collaborative services platform may include contact objects, conference objects, MeContact objects, endpoint objects, published objects and presence objects. The presence object may represent a presence of a particular user in a networked computing environment and may reference multiple collaborative endpoints.

The invention discloses a simulation application-orientated universal extensible computing system. The system comprises a simulation model database 1, a simulation application management node 2 and a simulation computing node 3. The simulation model database 1 is the storage center of a simulation model; and a user can submit a newly developed model to the simulation model database 1 through the simulation application management node 2, and also can search the desired existing model in the simulation model database 1 through the simulation application management node 2 and download the model for use. The system has the advantages that: a simulation application integrated platform has universal function and extensible scale; the universality of the simulation platform and the plug and play of the simulation model realize dynamic adjustment of simulation computing load and resource use efficiency; the integration efficiency of the different application-orientated complex simulation system is improved, and the development and integration efficiency of the simulation application system is improved; and the availability, reliability and resource utilization rate of the simulation application system are improved.

Multiple peer groups for performing computing, communication, and/or storage tasks. A method may be performed for example, in a computing environment including one or more agents networked together. The method includes providing data to the agents using two or more distinct peer groups. The peer groups include members from among the agents. The method further includes performing at each of the peer groups operations on the data. Each peer group is configured to perform a specific operation. The method also includes coordinating the operations at each of the peer groups such that a common computing, communication and/or storage task is accomplished by aggregating the operations at each of the peer groups.

The invention provides a working method of a server, and the working method comprises the following steps: turning on a timer, setting the initial endurance time t of the timer to be equal to 0, judging whether the depth of a current load queue is between a low load threshold value and a high load threshold value or not, judging whether the depth of the current load queue is less than the low load threshold value or not if the depth of the current load queue is not between the low load threshold value and the high load threshold value, judging whether the endurance time t of the timer is more than a low load time threshold value or not if the depth of the current load queue is less than the low load threshold value, switching from a current calculating module to another lower-energy-level calculating module if the endurance time t of the timer is more than the low load time threshold value, and beginning receiving a new load by the lower-energy-level calculating module. The working method of the server has the advantages that the performances of the calculating modules can be extended, a storage space can be extended flexibly, the energy consumption of the calculating modules can be regulated according to performance requirements, and the minimization of the idle-load energy consumption of a system can be achieved to achieve high-efficiency service.

Scalable computing systems and methods for the management of intellectual property assets and royalty payments. Income can be derived from a number of different sources in association with intellectual property assets. The data from these sources can be conformed into a common format to facilitate the management of intellectual property assets and royalty payments. Intellectual property assets can be organized into deals and can be stored in a database. The deals can also include parameters such as rate tables, rights holders associated with the assets of the deal. With the conformed data, the asset listings in the statements can be matched to the assets in the database. The matching can be done automatically, using fuzzy matching or manually if the automatic or fuzzy matching fails to produce a match. The royalties can then be calculated in parallel for all rights holders of a given asset across all jurisdictions using a dynamic flow network created for particular asset deal relationships.

Multiple peer groups for performing computing, communication, and/or storage tasks. A method may be performed for example, in a computing environment including one or more agents networked together. The method includes providing data to the agents using two or more distinct peer groups. The peer groups include members from among the agents. The method further includes performing at each of the peer groups operations on the data. Each peer group is configured to perform a specific operation. The method also includes coordinating the operations at each of the peer groups such that a common computing, communication and/or storage task is accomplished by aggregating the operations at each of the peer groups.