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302 results about "Services computing" patented technology

Services Computing has become a cross-discipline that covers the science and technology of bridging the gap between business services and IT services. The underlying technology suite includes Web services and service-oriented architecture (SOA), cloud computing, business consulting methodology and utilities, business process modeling, transformation and integration. This scope of Services Computing covers the whole life-cycle of service provision that includes business componentization, services modeling, services creation, services realization, services annotation, services deployment, services discovery, services composition, services delivery, service-to-service collaboration, services monitoring, services optimization, as well as services management. The goal of Services Computing is to enable IT services and computing technology to perform business services more efficiently and effectively.

Method and apparatus for secure remote system management

To prevent unauthorized access to hardware management information in an out-of-band mode, i.e., when the operating system of the hardware is not executing, a method and apparatus employ an authentication protocol. Upon receiving a request for hardware component information in a service processor that is disposed in a hardware component, which request is received as an open session request and which request passes external to an operating system controlling the hardware component, the service processor transmits a challenge string to the requesting client application. In response to a challenge response received from the requesting client application, the service processor compares the challenge response to an expected response to the challenge. The expected challenge response is calculated by the service processor. Based on the result of the comparison, the service processor transmits an authentication response to the requesting client application indicating success or failure of the authentication process. On the client side, in response to a challenge string from the service processor, the requesting client application transmits to the service processor a challenge response, which includes an sequence number that increments with every new message from the requesting client application. The challenge response also includes a hash number calculated by the requesting client application, which hash number is a function of the challenge string, session identification number, sequence number and / or a password. Each new packet including data and / or commands from the client application includes a similarly calculated hash number.
Owner:INTEL CORP

Architecturally partitioned automatic steering system and method

A system and method for automatically steering a vehicle along an intended path is provided. The system is architecturally partitioned. The partitioned design allows each of the system elements to be designed and maintained independently while allowing variation and flexibility in system configuration. An embodiment of the system elements may comprise a local navigation guidance unit, an external positioning system, a steering controller, and an installation and service computer. Additional elements of an embodiment of the system may comprise a steering position sensor, and at least one steering actuator. The system allows the operator to enter an intended target path and certain vehicle parameters. The local navigation guidance unit receives positional data from an external positioning system, preferably DGPS, indicative of a navigational path traversed by the vehicle. The guidance unit compares the positional data with the intended target path to obtain guidance error and transmits the guidance error to the steering controller. The system allows for determination of the current steering angle and generation of a steering angle adjustment based upon the intended target, the navigational path traversed by the vehicle, the vehicle parameters, the steering angle and the guidance error. The steering angle adjustment is used to actuate a steering mechanism to smoothly guide the vehicle along the intended target path.
Owner:RAVEN INDUSTRIES INC

Controller Driven Reconfiguration of a Multi-Layered Application or Service Model

Some embodiments provide novel inline switches that distribute data messages from source compute nodes (SCNs) to different groups of destination service compute nodes (DSCNs). In some embodiments, the inline switches are deployed in the source compute nodes datapaths (e.g., egress datapath). The inline switches in some embodiments are service switches that (1) receive data messages from the SCNs, (2) identify service nodes in a service-node cluster for processing the data messages based on service policies that the switches implement, and (3) use tunnels to send the received data messages to their identified service nodes. Alternatively, or conjunctively, the inline service switches of some embodiments (1) identify service-nodes cluster for processing the data messages based on service policies that the switches implement, and (2) use tunnels to send the received data messages to the identified service-node clusters. The service-node clusters can perform the same service or can perform different services in some embodiments. This tunnel-based approach for distributing data messages to service nodes/clusters is advantageous for seamlessly implementing in a datacenter a cloud-based XaaS model (where XaaS stands for X as a service, and X stands for anything), in which any number of services are provided by service providers in the cloud.
Owner:NICIRA

IoV (Internet of Vehicles) service cooperative computation method and system based on cloud end, edge end and vehicle end

The invention discloses an IoV (Internet of Vehicles) service cooperative computation method and system based on a cloud end, an edge end and a vehicle end, and belongs to the field of cloud computation and intelligent driving. According to the computation system and the computation method, firstly, a vehicle-mounted terminal responds to an IoV service request proposed by an IoV terminal application system. A cloud computation platform implements cooperative interactive computation with the vehicle-mounted terminal and an edge computation platform, and provides a service computation resource or a cloud service request by a cloud IoV service environment module. The edge computation platform implements cooperative interactive computation with the vehicle-mounted terminal and the cloud computation platform by an edge cooperative computation agent module, and takes charge of integrating feedback results of a delegation computation control environment module and an open computation controlenvironment module. According to the invention, the unilateral problems of insufficient computation ability of the vehicle end, limited computation resources of the edge end and large data delay of the cloud end are solved, computation efficiency is improved, and user experience is optimized.
Owner:BEIJING UNIV OF POSTS & TELECOMM

Personalized service recommendation system and method based on latent semantic probability models

InactiveCN103473291AImproving the Efficiency of Online Service RecommendationsSpecial data processing applicationsServices computingPersonalization service
The invention relates to a personalized service recommendation system and method based on a latent semantic probability models and belongs to the technical field of service computing. The method includes: determining a QoS (quality of service) index system for evaluating performance of a series of services with similar functions; building latent semantic probability models among users, user index preferences and service situations; collecting index preference information provided by user-system interaction when different users use services with different functions under different service situations in a system, and saving the information in a historical experience database; using collected data to train parameters of the latent semantic probability models; when a user is unfamiliar with a certain service situation and needs to call a service with a special function under the service situation, using the trained latent semantic probability models to predict index preference of the user; comprehensively screening candidate services according to the predicted personalized QoS index preference, selecting the service most suitable for the user's requirements, and personalized service recommendation is achieved.
Owner:INST OF SOFTWARE - CHINESE ACAD OF SCI
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