9 results about "Service infrastructure" patented technology

The present disclosure relates to systems and methods for providing a network-based service infrastructure configuration for a plurality of network-based services. A configuration service may identify one or more network-based services based on identifying the customer's profile and grouping the customer with other customers having a similar profile. After grouping the customer input, the configuration service may automatically provide network infrastructure configuration templates. The configuration service may identify and verify attributes required by each identified service and its associated property values. The configuration service may configure the infrastructure configuration by selecting a template from the plurality of templates stored in a datastore.

To provide a mobility service providing system, a vehicle access control method, and a program.SOLUTION: In a method, when an interface unit (API providing unit 122) receives, from a service providing server 4 that provides a service to a vehicle using a mobility service infrastructure server (management center 3), an access request for requesting an operation of an in-vehicle device with respect to the vehicle, access to a target vehicle is executed by performing wireless communication with an in-vehicle device mounted on the target vehicle which is a vehicle to be accessed. A vehicle control unit 130 of a vehicle-side unit 110 performs relay control on a control instruction transmitted and received to and from the in-vehicle device.SELECTED DRAWING: Figure 11

An information processing device according to one embodiment includes: a reception means that receives an API request containing user identification information of a user and service identification information indicating a service from a service infrastructure that provides the service to the user via a whole-body scanner; a first acquisition means that acquires, via a first access means, whole-body data of a category indicated by a first database as being used in the service indicated by the service identification information included in the API request from among whole-body data of the user indicated by the user identification information included in the API request; a second acquisition means that acquires, via a second access means, UI data for displaying, on the whole-body scanner, a menu for the whole-body scanner to provide the service indicated by the service identification information included in the API request; and a transmission means that transmits, to the service infrastructure, an API response including the whole-body data acquired by the first acquisition means and the UI data acquired by the second acquisition means.

A computer-implemented security architecture prevents compromise of an artificial-intelligence workload, agent, model-orchestration platform, or application server from automatically becoming an enterprise-wide data breach, unrestricted semantic reconstruction, strategic-intelligence extraction, unauthorized cross-domain correlation, or unauthorized externally effective operation. Enterprise information is partitioned among independently controlled identity, content, relationship- mapping, and optional cryptographic-material domains such that protected components remain Technically Non-Joinable outside an authorized reconstruction session. A non-bearer Reconstruction Authorization Object (RAO) binds permitted fields, permitted association scope, authorized purpose, execution context, attested workload identity, tenant, session, policy epoch, jurisdiction, recipient, destination, disclosure conditions, and output scope to protected authorization state. Approved components are released as session-bound components and reconstructed only within a Protected Reconstruction Domain to create an ephemeral minimum-necessary representation without persistently reconstructing a complete semantically usable enterprise record outside the protected processing span. Where an artificial-intelligence server, autonomous agent, retrieval pipeline, model-orchestration framework, tool-use environment, vector-store interface, or application server is compromised, an attacker may attempt to reconstruct customer data, financial records, research assets, source code, intellectual property, product-development information, communications, operational intelligence, or strategic enterprise relationships. However, compromise of computation does not itself provide reconstruction authority, semantic association authority, or Release Authority. Generated Candidate Acts and Candidate Outputs remain sealed, capability-restricted, confined to protected state, or otherwise Non-Releasable while current execution-context correspondence, provenance continuity, permitted association scope, revocation state, policy epoch, destination, recipient, disclosure budget, inference-channel budget, and jurisdiction conditions are independently verified. A Protected Output Validation Receipt is committed before an output-specific Output Release Capability is generated, such that only a designated Output Release Boundary can render, transmit, invoke, store, commit, execute, or otherwise effectuate the verified result. The disclosed architecture establishes Execution–Consequence Decoupling, Mandatory Mediation, Technical Non-Joinability, and Technical Non-Completability, enabling enterprise artificial intelligence to compute without independently acquiring authority to disclose protected enterprise relationships or produce unauthorized external consequences. The architecture is applicable to enterprise AI, agentic AI, multi-agent systems, model-serving infrastructure, retrieval-augmented generation, vector databases, cloud computing, confidential computing, cybersecurity, telecommunications, financial services, healthcare, government systems, industrial automation, critical infrastructure, robotics, autonomous systems, and cyber-physical environments.

A method for constructing an infrastructure as code is provided. The method comprises: inputting security information about a target service into a language model; using information output from the language model, so as to generate a security policy corresponding to the security information; inputting the security policy into the language model; using information output from the language model, so as to acquire attribute information about the target service and a first code script corresponding to the security policy; inputting the attribute information and the first code script into the language model; using information output from the language model, so as to generate a second code script for constructing an infrastructure of the target service; and using the second code script so as to automatically construct the infrastructure for providing the target service.

A workload management system monitors a tenant-specific workload for a tenant on a first set of cloud service instances hosted by a first cloud services infrastructure at a first cloud service location. The workload management system determines that a second cloud service location can host a predicted tenant-specific workload. The system obtains weather data for the cloud service locations. Based at least in part on the predicted tenant-specific workload and the weather data for the cloud service locations, the workload management system determines non-carbon costs of hosting and / or migrating the predicted tenant-specific workload while maintaining baseline performance criteria and a carbon cost of hosting and / or migrating. Based at least in part on the calculated costs, the system stores an indication that carbon emissions will be reduced by hosting the predicted tenant-specific workload at the second cloud service location and routes an ongoing workload to the second cloud service location.

This invention provides a method and apparatus for recursive resolution and resource allocation of computing power identifiers based on the Domain Name System (DNS). Based on the DNS service infrastructure, it supports the resolution and addressing of wide area network (WAN) computing power identifiers using the DNS, offering higher reliability, security, and stability compared to newly built identifier systems. Based on DNS service nodes, it can simultaneously resolve computing power resources and allocate and schedule computing power demands during identifier resolution, efficiently utilizing computing power resources and achieving computing-network convergence. The top-down resolution and resource allocation method from the root node facilitates macro-control and allocation of computing power resources within and between WANs, enabling balanced service of computing power resources at the network level to improve the overall service performance of the computing power network.

The application provides a computing network service basic unit construction system, method, electronic equipment and storage medium, belongs to the technical field of computing network, and the system comprises a resource aggregation module, a data fusion module, a model training module and an ability opening module. The computing network service basic unit construction system provided by the application realizes the access and unified management of multi-source information technology resources through the resource aggregation module; the data fusion module is used for fusing multiple resource management data to obtain multiple fusion data; the model training module is used for training artificial intelligence based on the multiple fusion data to obtain multiple large models; and the ability opening module is used for opening the multiple large models to external users. The combination of the four modules can improve the resource utilization, data fusion degree and model training efficiency in the information technology construction and operation mode, provide better computing network service ability for the industry and the industry, and effectively promote the digital transformation of the industry and the industry.