37 results about "Cloud provisioning" patented technology

Embodiments described herein provide systems and methods for installing or otherwise supporting applications in a cloud environment and systems and methods for provisioning a cloud environment. One embodiment includes abstracting a set of configuration information associated with a first environment into a set of environment independent attributes and a set of environment dependent attributes. A second environment may then be configured using the mapped environment independent attributes and the values for the set of environment dependent attributes. If the second environment is a cloud environment, embodiments described herein can include provisioning the cloud environment by mapping hardware and / or software characteristics of the first environment and / or user selected characteristics to abstractions of the characteristics and sending API calls to a cloud environment interface based on the abstractions of the characteristics to provision a selected target environment in the cloud environment.

Aspects of the present invention include distributing new resources closer to end-users which are making increased demands by spinning-up additional virtualized instances (as part of a cloud provisioning) within servers that are physically near to the network equipment (i.e., web servers, switches, routers, load balancers) that are receiving the requests.

Provisioning resources in public cloud infrastructure to perform at least part of electronic design automation (EDA) tasks on the public cloud infrastructure. The provisioning of resources is handled by a cloud provisioning system that is generally operated and maintained by an EDA tool developer using a provisioning credential. After the resources are provisioned, the cloud provisioning system places user key on the provisioned resources. Once the user key is placed on the provisioned resources, the cloud provisioning system has only limited access or no access to the provisioned resources. Instead, a user client device takes over the control of the provisioned resources by using a user's access credential. The provisioning credential is retained by the EDA tool developer and is not released to the user. Similarly, the access credential is retained by the user and not released to the EDA tool developer. In this way, the EDA tool developer can retain control of the resources deployed for the EDA tasks while ensuring that the user's information associated with the EDA tasks is secure.

The invention discloses a configuration-driven lightweight hybrid infrastructure platform and a data processing method, and the platform is characterized in that the platform comprises a client serverwhich is used for receiving a resource instance request and transmitting the resource instance request to an API server; an analyzer, deployed on the host machine and used for analyzing the API of the cloud supplier and forming a YAML configuration file of the API according to the resource management capability of the API; generating a resource configuration file and a function configuration fileof each virtual resource according to the API supported by the virtual resource; a converter, used for converting each virtual resource in the input resource configuration file into a CRD object compatible with Kubernetes; and a controller, deployed on the API server, and used for analyzing the resource instance request received by the API server, obtaining the request type and the resource instance of the resource instance request, and determining to send the resource instance request to the scheduler or the actuator for processing according to the request type.

An approach for cloud provisioning of consumer services based on requested services. The approach uses customer request for services and current network utilization patterns to most efficiently and effectively provision network resources. For example, a network manager establishes one or more terms for a cloud provider based on one or more provider network provisions. The network manager further determines a customer profile subscription based on customer credentials, cloud provider credentials, and a combination thereof. Then, the network manager delivers one or more credentials based on the cloud provider, and generates a routing path to the cloud provider based on the subscription and / or service request.

Aspects of the present invention include distributing new resources closer to end-users which are making increased demands by spinning-up additional virtualized instances (as part of a cloud provisioning) within servers that are physically near to the network equipment (i.e., web servers, switches, routers, load balancers) that are receiving the requests.

Method and Apparatus for rapid scalable unified infrastructure system management platform are disclosed by discovery of compute nodes, network components across data centers, both public and private for a user; assessment of type, capability, VLAN, security, virtualization configuration of the discovered unified infrastructure nodes and components; configuration of nodes and components covering add, delete, modify, scale; and rapid roll out of nodes and components across data centers both public and private.

An embodiment of the invention provides a system and method for managing computing resources in a cloud computing environment, wherein the system includes a data analysis module connected to a processor. The data analysis module predicts the demand for the computing resources, wherein the demand is predicted based on internet user activity. The internet user activity includes: the number of web pages that include at least one select term a predetermined amount of times, the number of times the web pages that include the at least one select term a predetermined amount of times are viewed, and the number of times the select term is entered into an internet search engine. The processor increases resource capacity in the cloud computing environment when the predicted demand is above a first threshold. The processor decreases resource capacity in the cloud computing environment when the predicted demand is below a second threshold.

A services platform acts as an intermediary between an existing enterprise analytic environment, and one or more underlying cloud service providers. The platform provides enterprise “big data-as-a-service,” by which an enterprise can seamlessly and easily provision new capacity for processing its analytic workload, and migrate data sources (e.g., data warehouse marts, enterprise data warehouses, analytic sandboxes, and the like) to the cloud for processing. The platform provides end-to-end enterprise class manageability of enterprise data assets, from data collection, aggregation, movement, staging and processing, all while providing service levels, security, access and governance. The platform integrates directly but seamlessly into the enterprise analytic stack, and existing analytics applications work as normal. The platform provides a way for the enterprise to translate its workloads into clusters of compute resources that meet its service level requirements.

The invention discloses a container real-time migration method based on trusted computing. Operating system virtualization and containers have become key technologies in cloud computing. The control of the data center and the cloud supplier to the computing resources enables the user data to face the risk of leakage, and reduces the actual control of the user to the data, which brings security threats to the container migration process. The invention introduces the concept of migration agent, and provides a method for migrating a container in a secure encrypted virtual machine by means of a trusted platform module. The authenticity and integrity of the destination platform are verified through remote authentication before data transmission, and the process in the container is kept unchanged in the migration process and does not need to be restarted. The data in the container is transmitted through the secure session between the migration agents, the integrity and confidentiality of the data are guaranteed in the migration process and on a destination platform, and the security of container migration is improved.

The invention belongs to the technical field of computer application software systems, and particularly relates to a collaboration platform for a smart management cloud supply chain. A user enters a smart management cloud applet assistant through WeChat and enters a smart management cloud platform through the smart management cloud applet assistant,. The smart management cloud platform is internally provided with a purchasing module, a warehouse module, a supply chain platform module, a financial module, a production module, a purchasing bargaining module, a cost module, a sales module, a customer service after-sales module, a personnel module, an 0A module and a project order module, and the smart management cloud platform adopts an EPR system for cooperation. A supplier and a customer enter the A supplier and a customer enter the coma cloud applet assistant through WeChat. According to the invention, enterprise management and mainstream social software are seamlessly integrated and rapidly spread in the WeChat friend circle, the applet and a specific WeChat group, the function of rapidly obtaining collaborative information is achieved, and then automatic recording, comparison, inquerying , bargaining and preferential cooperation are carried out through the smart managementcloud, Compared with a traditional ERP quotation mode, the collaboration platform has great advantages.

A network-accessible service provides an enterprise with a view of all identity and data activity in the enterprise's cloud accounts. The service enables distinct cloud provider management models to be normalized with centralized analytics and views across large numbers of cloud accounts. The service enables an enterprise to model all activity and relationships across cloud vendors, accounts and third party stores. Display views of this information preferably can pivot on cloud provider, country, cloud accounts, application or data store. Using a domain-specific query language, the system enables rapid interrogation of a complete and centralized data model of all data and identity relationships. User reports may be generated showing all privileges and data to which a particular identity has access. Similarly, data reports shown all entities having access to an asset can be generated. Using the display views, a user can pivot all functions across teams, applications and data, geography, provider and compliance mandates, and the like.

A method and associated systems for capturing configuration items from hybrid-cloud provisioning data. A processor of a service-management system intercepts a service request requesting that the hybrid cloud's orchestration mechanism provision or deprovision a configuration item of the hybrid cloud. The service-management system identifies the configuration item by examining the service request and then forwards the request to the cloud-orchestration mechanism. After confirming that the request has been satisfied, the service-management system retrieves from the orchestration mechanism provisioning information that describes attributes of the newly provisioned or deprovisioned configuration item and uses this information to update a configuration-management database, marking any provisioning information newly stored in the database as being authorized for use by other management systems of the hybrid cloud. The service-management system then enhances the stored data by means of an artificially intelligent analytics module and additional configuration-item data collected by a discovery agent.

The invention discloses a configuration-driven lightweight hybrid infrastructure platform and a data processing method, which are characterized in that it includes a client server for receiving a resource instance request and sending it to an API server; an analyzer deployed at the sink On the host, it is used to analyze the API of the cloud provider, and form the YAML configuration file of the API according to its resource management capabilities; generate the resource configuration file and function configuration file of the virtual resource according to the API supported by each virtual resource; The converter is used to convert each virtual resource in the input resource configuration file into a Kubernetes-compatible CRD object; the controller is deployed on the API server and is used to analyze the resource instance request received by the API server and obtain resources The request type and resource instance requested by the instance, and then determine to send the resource instance request to the scheduler or executor for processing according to the request type.

A cloud workload distribution system and method are disclosed. In one embodiment, the present invention provides a system capable of providing users with automatic guidance on workloads to be issued. The invention matches the user's workload profile file according to various historical data sets, and facilitates the user to select cloud provisioning for various workloads. The system is capable of automatically recalibrating workload profiles during cloud provisioning if the user so desires, while providing a manual selection option for cloud provisioning. In one embodiment, the present invention provides a system and method for obtaining a workload distribution scale factor mechanism using historical data sets. Further, the system and method can also automatically or manually readjust the provisioning scaling factor according to the workload profile for cloud provisioning.

An apparatus for securing a cloud-provider system includes one or more network interfaces and one or more processors. The network interfaces are configured for connecting to a network. The processors are configured to allocate resources of the cloud-provider system for use by tenants of the cloud-provider system, to allocate to the tenants one or more Internet Protocol (IP) address ranges, to assign multiple IP addresses, scattered across the IP address ranges, for use by one or more honeypot servers, and to secure the cloud-provider system against hostile attacks, by processing network traffic associated with the assigned IP addresses using at least the honeypot servers.

The invention relates to a multi-tenant data center energy efficiency optimization method, system and joint modeling method, including: based on the law of diminishing marginal returns, establishing a benefit function between the tenant's income and the number of servers currently used by the tenant; Server requirements, calculate the shared market unit price of servers; tenants determine the actual number of shared servers based on the market unit price, and managers use tenants' shared servers to build a public resource pool to migrate and integrate tenant loads. Therefore, the present invention can use the idle servers of the multi-tenant data center to implement migration and integration of tenant loads without relying on cloud providers, so as to reduce energy consumption. The invention also jointly models the server sharing incentive mechanism and the original energy-saving mechanism of the multi-tenant data center, and proposes a new approximation algorithm to ensure the authenticity and feasibility of the joint optimization model, and realize greater energy-saving cost optimization.

This application provides a contact center system based on multi-cloud architecture and its implementation method. The contact center can independently provide services to tenants by deploying on several basic clouds; create a first information comparison table and a second information comparison table, wherein the The first information comparison table includes the location identifier of each contact center and its corresponding network access address, and the second information comparison table includes all tenant information and the location identifier of the contact center corresponding to each tenant, wherein the The location identifier of the contact center is used to uniquely identify the contact center; the first information comparison table and the second information comparison table are synchronized to each contact center to realize the deployment of the contact center system based on several basic cloud architectures. It improves the reliability and availability of contact center operation, and can also provide contact center services with less delay. It also prevents contact center service providers from locking in a single basic cloud provider, and can optimize the system and cost.