118 results about "Scalable architecture" patented technology

A router for use in a network includes a scalable architecture and performs methods for implementing quality of service on a logical unit behind a network port; and for implementing storage virtualization. The architecture includes a managing processor, a supervising processor; and a plurality of routing processors coupled to a fabric. The managing processor has an in-band link to a routing processor. A routing processor receives a frame from the network, determines by parsing the frame, the protocol and logical unit number, and routes the frame to a queue according to a traffic class associated with the logical unit number in routing information prepared for the processors. An arbitration scheme empties the queue in accordance with a deficit round robin technique. If a routing processor detects the frame's destination is a virtual entity, and so is part of a virtual transaction, the router conducts a nonvirtual transaction in concert with the virtual transaction. The nonvirtual transaction accomplishes the intent of the virtual transaction but operates on an actual network port, for example, a storage device.

System and method for providing a customized service in a network. The system comprises at least one originating device that provides an identifier of one of a user and a product associated with the user (Tag ID) and an identifier of the customized service (Object ID). It further includes a processor that supports an action table. The processor receives the Tag ID and Object ID from the at least one originating device, and uses at least the received Tag ID and Object ID to look up a corresponding action in the action table. A servicing node in the system receives the action and performs at least partial execution of the action, thereby generating results comprising the customized service.

A database conversion engine comprising a method and system to convert business information residing on one system to another system. A generic, extensible, scalable conversion engine may perform conversion of source data to target data as per mapping instructions/specifications, target schema specifications, and a source extract format specification without the need for code changes to the engine itself for subsequent conversions. A scheduler component may implement a scalable architecture capable of voluminous data crunching operations. Multi-level validation of the incoming source, data may also be provided by the system. A mechanism may provide data feeds to third-party systems as a part of business data conversion. An English-like, XML-based (extensible markup language), user-friendly, extensible data markup language may be further provided to specify the mapping instructions directly or via a GUI (graphical user interface). The system and method employs a business-centric approach to data conversion that determines the basic business object that is the building block of a given conversion. This approach facilitates identification of basic minimum required data for conversion leading to efficiencies in volume of data, performance, validations, reusability, and conversion turnover time.

A distributed and scalable architecture is described to facilitate reactive detection of operational state changes in diverse, heterogeneous objects, logging of detected state-changes, and generating alerts in response to detected state-changes for the purpose of remediation. Such heterogeneous objects include but are not limited to stand-alone workstations, network appliances, files and directories, as well as embedded micro-systems such as digital assistants, cellular devices, and even remotely controlled peripherals such as environmental sensors, effectors and actuators. In one embodiment, user interaction with such diverse objects is facilitated through a homogeneous user-interface metaphor through which, the rules of interaction remain constant independent of the object being monitored.

Scalable architecture for managing and rendering a large graph containing a large number of nodes and edges. The user can group arbitrary nodes to encapsulate complexity without losing any of the cross-group edges dependencies. All edges of the nodes contained in the group are rolled up into roll-up links (or “arteries”) where the graphical thickness indicates relatively how many links are bundled. By collapsing groups the entire view gives the user a clearer understanding of the graph. Information related to the groups and links is retained for drill-into to obtain the details inside each group on the same canvas and for user navigation across groups.

Methods and systems for laser-based processing of materials are disclosed wherein a scalable laser architecture, based on planar waveguide technology, provides for pulsed laser micromachining applications while supporting higher average power applications like laser welding and cutting. Various embodiments relate to improvements in planar waveguide technology which provide for stable operation at high powers with a reduction in spurious outputs and thermal effects. At least one embodiment provides for micromachining with pulsewidths in the range of femtoseconds to nanoseconds. In another embodiment, 100W or greater average output power operation is provided for with a diode-pumped, planar waveguide architecture.

Process Brokering Services (PBS) are implemented though the concept of Adaptive Documents to facilitate electronic commerce (e-commerce). PBS provides a single point of process control over the various fragmented execution flows and brings together the elements for process integration (views, content, flows) in a unified, scalable architecture on an industry standard platform. The two principal functions of the PBS are brokering of multiple business processes encapsulated in various back-end systems including workflow engines and business applications, and aggregating content from multiple enterprise information systems in the business context and managing the shared access to this based on the roles of the participants. The dynamic services provided by PBS are accessible to clients through the PBS Interface.

A method and apparatus is disclosed for delivering messages that utilizes a message queue and a router/filter within a private data network. The private network is connected to an external data network such as the Internet, and has separate outbound resource servers to provide a high degree of scalability for handling a variety of message types.

The present invention provides a system and method for simplifying and accelerating the process of prototyping, real-world simulation, and implementation of virtually any task performance system or device, thereby dramatically reducing the design-to-implementation cycle time and expense. The inventive system includes a development system that provides a user, with visual tools to interactively and dynamically partition a previously designed visual system model of the task performance system or device, and then interactively or automatically assign the partitions to corresponding selectable target components, to produce a prototyped system ready for conversion to executable form suitable for implementation. The inventive system and method can also be readily used to automatically generate any instruction sets that are necessary for implementing the prototyped task performance system in actual target components of one or more emulation and/or production target systems. A novel automatic executable program code generation process that can be advantageously utilized is also provided in accordance with the present invention. Finally, the present invention may optionally include a data handling device that enables real-time monitoring and management of a remote target system from one or more user systems, as well as a set of tools for designing interactive visual instrument panels for that purpose.

The system and method for structuring self-provisioning workloads deployed in virtualized data centers described herein may provide a scalable architecture that can inject intelligence and embed policies into managed workloads to provision and tune resources allocated to the managed workloads, thereby enhancing workload portability across various cloud and virtualized data centers. In particular, the self-provisioning workloads may have a packaged software stack that includes resource utilization instrumentation to collect utilization metrics from physical resources that a virtualization host allocates to the workload, a resource management policy engine to communicate with the virtualization host to effect tuning the physical resources allocated to the workload, and a mapping that the resource management policy engine references to request tuning the physical resources allocated to the workload from a management domain associated with the virtualization host.

Systems and methods are provided for decoding signal vectors in multiple-input multiple-output (MIMO) systems, where a receiver has received one or more signal vectors from the same transmitted vector. The receiver processes these received signal vectors one by one, and uses information from signal vectors that have already been processed to process the next signal vector. To process a current signal vector, the receiver concatenates the current signal vector with a previously processed signal vector. This concatenated signal vector is decoded using, for example, a maximum-likelihood (ML). To decode the concatenated signal vector, the ML decoder can use a concatenated channel matrix that includes a channel response matrix associated with the current signal vector and a processed version of previous channel response matrices.

Exemplary embodiments may use remote processing resources to perform processing operations on behalf of a client. The embodiments may dynamically switch among available processing resources while processing is performed. Exemplary embodiments may be used, for example, to publish code, perform processing operations within a determined interval, perform scheduled processing operations, perform synchronized simultaneous execution of two or more programs, support coding competitions, support social networking and/or computing activities, and/or other types of processing activities.

Systems and methods for a scalable architecture for radio device and systems are disclosed. This architecture employs a scalable bandwidth to deliver higher data rates and transmission ranges to devices that need them, while still delivering lower power solutions for devices which utilize a smaller bandwidth. These systems and methods may divide the available frequency spectrum into a set of fundamental sub-bands. Different devices may use various multiples of these sub-bands depending on their needs. Devices employing this architecture are also capable of interoperation with one another regardless of the bandwidth they utilize. A device may scan through each sub-band within which the device intends to operate, searching for a common beacon transmitted by other devices utilizing the sub-band. If a beacon is found the device can choose to interoperate with the other device or, alternatively, continue scanning the sub-bands until an unused sub-band is found.

The system and method for predictive modeling in a network security service described herein may provide a scalable architecture that can model information relating to any specific threat or potential threat in a network and manage routing requests relating to the threat information among various entities participating in the security service. In particular, the scalable architecture may include various distributed databases that store serialized information describing threat instances, wherein a detection service may maintain information identifying entities associated with the databases storing the serialized information. Further, the security service may include a hierarchical subscriber name service that participating entities can traverse to locate the serialized threat information in the various databases and evaluate how the threat instances may have evolved or progressed through the network.

An apparatus and method for performing bitplane coding with reordering, that may be used in a Fine Granularity Scalability (FGS) system. The apparatus and method reorder coefficients each time after a bitplane is coded. By reordering, the apparatus and method separate the coefficients into two groups. When coding a bitplane, bits in the first group are copied into the bitstream, while the bits in the second group are subject to common run-length, VLC, or arithmetic coding. The apparatus and method may also be used with or in a conventional SNR, temporal and/or spatially scalable architectures, for example, as utilized within an MPEG-4 framework.

The design methods described enable three-dimensional integrated circuit systems in which all of the dies, in a vertically bonded stack of dies, are identical. Only one mask set and wafer type is required since a single circuit design is produced for one die in the stack and reused for all the dies with little or no modification. The system scales directly as the level of stacking is increased while incurring no extra design effort, beyond that required for the initial design.