870 results about "Cloud data center" patented technology

Various embodiments relate to a Cloud Data Center, a system comprising the Cloud Data Center, and a related method. The Cloud Data Center may include a logical customer edge router to send packets between addresses in a private enterprise network and addresses in a logical network within a cloud network using Layer 2 protocol and MAC addressing. The logical network may have resources, known as virtual machines, allocated to the private enterprise network and may share a common IP address space with the private enterprise network. A directory at the Cloud Data Center may correlate the enterprise IP addresses of virtual machines with a MAC address, cloud IP address, and a location IP address within the logical network. The Cloud Data Center may double encapsulate packets with MAC, cloudIP, and locIP headers, when sending a packet to a destination in the logical network.

Embodiments of the present solution provide a cloud bridge to bring network transparency between the otherwise disparate networks of the datacenter and cloud service provider. For example, appliances may be deployed in the datacenter and on the edge of the cloud. These appliances may be configured or designed and constructed to communicate with each other and recognize and understand the local IP and / or public IP network information of the on-premise datacenter of the enterprise and the cloud datacenter. These appliances may manage the flow of network traffic between the on-premise and cloud datacenters in a manner to appear and act seamlessly and transparently as a single network spanning both the on-premise and cloud data centers.

The invention relates to a system level virtualization technology and an energy-saving technology in the field of the structure of a computer system, and discloses an energy-saving method of a cloud data center based on virtual machine migration and load perception integration. The method comprises the steps: dynamically completing the migration and the reintegration of the load of a virtual machine in the cloud data center by monitoring the resource utilization rate of a physical machine and the virtual machine and the resource use condition of current each physical server under the uniform coordination and control of an optimized integration strategy management module of the load perception and an on-line migration control module of the virtual machine, and tuning off the physical servers which run without the load, so that the total use ratio of the server resource is improved, and the aim of energy saving is achieved. The energy-saving method of the cloud data center based on the virtual machine on-line migration and the load perception integration technology is effectively realized, the amount of the physical servers which are actually demanded by the cloud data center is reduced, and the green energy saving is realized.

Improving the utilization of physical resources and reducing energy consumption in a cloud data center includes providing a plurality of virtual machines in the cloud data center; periodically reallocating resources of the plurality of virtual machines according to a current resource demand of the plurality of virtual machines in order to minimize a number of active physical servers required to handle a workload of the physical servers; maximizing a mean inter-migration time between virtual machine migrations under the quality of service requirement based on a Markov chain model; and using a multisize sliding window workload estimation process for a non-stationary workload to maximize the mean inter-migration time.

A computer system for encapsulating a packet between a customer premise for delivery to customer resources within a public cloud data center. The computer system comprises a shim gateway. The shim gateway comprises a plurality of customer specific shim components. The shim gateway is configured to receive a packet from a customer premise. The packet has a VLAN tag. The packet identifies a tenant within a designated virtual network for the customer. The designated virtual network is within the public cloud data center. The shim gateway is further configured to encapsulate the packet into an encapsulated packet. Encapsulation includes mapping the VLAN tag to a destination network address of a tenant gateway for the customer. The tenant gateway is in the designated virtual network. The shim gateway is further configured to forward the encapsulated packet to the tenant gateway in the designated virtual network for delivery to the identified tenant.

The invention is method and apparatus for network conscious edge-to-cloud data aggregation, connectivity, analytics and actuation operate for the detection and actuation of events based on sensed data, with the assistance of edge computing software-defined fog engine with interconnect with other network elements via programmable internet exchange points to ensure end-to-end virtualization with cloud data centers and hence, resource reservations for guaranteed quality of service in event detection.

The invention discloses a digitized city management data sharing system based on cloud data, which comprises a city management cloud center, wherein the city management cloud center comprises supervision data wireless acquisition equipment (city management equipment), an application layer, a cloud data center, an application maintenance layer and a provincial city management cloud center infrastructure layer; and an intelligent city management digitalized city management platform provides services to cities through special departments, a command center and a monitoring center. The digitized city management data sharing system adopts an intelligent city management and construction mode based on cloud calculation, and reduces the problems that the service processing unit has difficulty in maintaining system functions, service process and data processing.

The invention discloses a virtualized infrastructure platform for cloud data centers, which comprises a cloud management server, a cloud resource control server and a cloud security server, the whole life cycles of various computational resources of a cloud platform are monitored and managed by the cloud management server, the various resources of the physical layer of the cloud platform are scheduled, controlled and managed by the cloud resource control server, and the cloud security server is used for establishing a cloud computation security control system in a private cloud and a secure interaction system for the private cloud and a public cloud; the cloud management server is integrated with the cloud resource control server through REST interfaces, and the cloud security server is respectively connected with the cloud management server and the cloud resource control server. The virtualized infrastructure platform for cloud data centers can realize security gateway-based unified remote virtual machine control and management, providing administrators with a unified access entrance for the management of virtual resources, and moreover, by means of directory service, the virtualized infrastructure platform for cloud data centers checks the validity of user identities; and a user can use the Python language to extend the resource scheduling control function.

Deploying a virtual machine in a cloud computing environment, the cloud computing environment including one or more virtual machines (‘VMs’), the VMs being modules of automated computing machinery installed upon cloud computers disposed within data centers, the cloud computing environment also including a cloud operating system and data center administration servers operably coupled to the VMs, including deploying, by the cloud operating system in a local data center, a VM, including flagging the VM for disaster recovery; storing, by the cloud operating system in computer memory in a remote data center, a copy of the flagged VM; and configuring, by the cloud operating system, the remote data center to replace data processing operations of the flagged VM in the local data center with data processing operations of the copy in the remote data center when the flagged VM in the local data center is lost through disaster.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and / or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

The invention provides a method and system for designing a distributed virtual network in a cloud calculating data center. The method and system are applied to the technical field of cloud calculation. The method includes the following steps: creating a distributed virtual switch, wherein the distributed virtual switch is composed of a plurality of OpenFlow virtual switch bodies, an OpenFlow controller and a physical switch port; enabling the OpenFlow virtual switch bodies to be in communication with the OpenFlow controller according to preset strategies. According to the method, the distributed virtual switch is created based on the SDN thought and particularly achieved through the OpenFlow protocol. The whole data center is configured by the distributed virtual switch in a concentrated mode through the OpenFlow controller, virtual switch networking is accordingly simplified, and centralized management and intelligent monitoring on the virtual network environment in the cloud calculating data center are achieved.

The invention relates to an on-line intelligent system for safety emergency based on multiple communication networks and sensing equipment, and belongs to the technical field of remote intelligent safety supervision equipment. The system consists of an on-line supervision module, a safety production cloud data center, and an emergency rescue module. The system is characterized in that the input end of the safety production cloud data center is in parallel connection with the on-line supervision module and an early-warning analysis auxiliary decision module; the output end of the safety production cloud data center is in parallel connection with a monitoring early-warning module, a video re-check intelligent control module, the emergency rescue module, and an information push module; and a data transmission and sharing switching module connected with the monitoring early-warning module is connected with a business subsystem. The system integrates on-line dynamic monitoring of safety production, alarm and management, hidden danger removal and intelligent law enforcement into one body, is well targeted, is high in applicability, and is high in efficiency of safety control and management. The system solves a problem that a conventional mode of segmented and manual monitoring is difficult in information integration and rectification, cannot achieve the real-time monitoring and quick processing of accidents, and is low in management efficiency.

The invention provides a cloud data center task scheduling method based on an improved ant colony algorithm, and relates to the field of cloud computing. The method comprises the following steps that (1) a to-be-scheduled workflow task set submitted by a user and a virtual machine set rent by the user are input, (2) a scheduling problem that tasks are allocated to virtual machines to be executed is represented as a standard minimum value solving problem, and (3) the virtual machine task scheduling problem in a cloud computing environment is solved through the ant colony algorithm based on information element updating. The method can adapt to the dynamic nature of the cloud environment, time for task scheduling of a user is shortened, and virtual machine load in a cloud data center can be maintained in a relative balance state.

The invention discloses an energy consumption perception-based side cloud collaborative dynamic unloading scheduling method. The method comprises the following steps: establishing an edge cloud collaborative system model with a plurality of IoT devices, an edge server and a cloud data center; constructing a communication model, a calculation overhead model and a task dependence model; constructinga cost function of the task unloading decision and a corresponding constraint condition thereof; dynamically obtaining a task unloading strategy by using a reinforcement learning method; and dynamically scheduling the tasks according to the dependency relationship among the tasks to realize energy consumption perception-based side cloud collaborative dynamic unloading scheduling. The method is used for solving the problem that a conventional algorithm cannot effectively obtain a task unloading strategy in an Internet of Things scene with a dynamically changed wireless network state, and meanwhile, the method can effectively reduce the execution energy consumption of a calculation task.

The invention discloses a cloud data center load prediction method based on LSTM (Long Short-Term Memory), and aims to solve the problem that optimal utilization can not be obtained by the limited calculation resources of a cloud data center. The method comprises the following steps that: taking the mass historical records of the cloud data center as a basis to manufacture a training sample and atesting sample; in addition, constructing a neural network connected by LSTM units; continuously inputting training samples on batch to obtain an output value. A neural network optimization algorithmadopts a new adaptation moment estimation method, parameters in each unit are continuously updated through iterative training, and global optimum is realized after training is finished, only the testing sample needs to be input into the network to obtain the next prediction value of a sample sequence; and if an input sequence is continuously updated by the prediction value, a prediction value sequence in one future period of time can be obtained.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and / or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

A cloud tutoring system relates to the tutoring technology field. The system is operated as a B / S or C / S mode. A teacher terminal, a parent terminal, a student terminal and a platform maintenance terminal carry out information communication with a server of an education cloud data center through a wired or wireless network. The education cloud data center comprises one or more cloud servers and server operating systems, a database and application software. The teacher terminal, the parent terminal, the student terminal and the platform maintenance terminal are formed by a desk computer, a notebook computer, a tablet personal computer, an electronic whiteboard or intelligent mobile phone and the like, and the application software. Usage is convenient, operation is simple, safety is increased, data consistency and safety are guaranteed and work efficiency is high.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and / or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and / or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

The invention discloses a hash tree-based data dynamic operation verifiability method, which consists of three parts, i.e., a USER, a cloud data center (CDC) and a third party administrator (TPA) connected through a communication network, wherein the USER is used as a party of making a data memory service request, who hopes to store a data file owned by the party into a cloud storage space of the cloud data center, and can be both a personal user and an enterprise user; the CDC is used for responding to the data storage service request of the USER, storing the data file of the USER into the huge data center of the CDC according to a certain rule and managing and maintaining the data file; and the TPA is used as a reliable TPA and is commissioned by the USER to check the completeness and the consistency of the data file stored in the CDC data center. According to the hash tree-based data dynamic operation verifiability method, the verification problem of the completeness and the consistency of the user data file under a cloud computing environment is solved.

The invention belongs to the technical field of cloud computing and novel networks, and particularly provides a multi-tenant policy-driven type software-defined networking method for a cloud data center. The method includes the specific steps of tenant policy defining, user definition policy authority limiting, policy conflict solving and policy file parsing and executing. According to the method, a network is configured through policy defining, tenants can define virtual networks, virtual firewalls and the like of the tenants in a visual mode without writing programs or using a programming interface provided by a software-defined networking controller; management on a cloud computing platform and management on an SDN controller are unified; the networks are managed through policy parsing, so that higher efficiency can be achieved, computing resources, such as a CPU, of the software-defined networking controller are saved, and the time for processing requests of the tenants through the controller is shortened. On the premise that user friendliness is ensured, the performance can be close to the performance achieved when calling is conducted by a local API, and meanwhile the performance is quite better than the performance achieved when calling is conducted by an RESTAPI.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and / or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

The invention belongs to the technical field of monitoring early warning and particularly relates to a cloud data center real-time security monitoring early warning system and a cloud data center real-time security monitoring early warning method. The cloud data center real-time security monitoring early warning system comprises a data collecting module, a data real-time processing module, a data storage module, a result predicting module and a warning module, wherein the data real-time processing module processes index data, collected by the data collecting module, of monitored objects, the data storage module stores data subjected to stream computing processing into a database, the result predicting module is used for predicting the trend of data indexes in future time according to historical data in the database and real-time data provided by the data real-time processing module, and obtaining predicting results, and the warning module warns according to the predicting results. The cloud data center real-time security monitoring early warning system and the cloud data center real-time security monitoring early warning method have the advantages that the relationship among all index data and the trend of the index data are deeply excavated, and the danger condition is informed to managers in advance.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and / or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and / or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

The invention discloses a system for auditing a cloud computing data center based on an SDN. The system comprises a core management module, a system basic function module and a linkage interface for connecting the system with other safety equipment or virtual machines. The core management module is the core of the whole system and comprises an SDN controller management platform module, an auditing virtual machine management platform module and an auditing virtual machine safety guarantee module. The system basic function module conducts coordinated management on multiple controllers in a cloud data center environment and comprises a switch interface communication module, a controller synchronization module, a distributed management module, a fault recovery module and a redundant backup module. The linkage interface for connecting the system with other safety equipment or virtual machines is used for connecting the system for auditing the cloud computing data center based on the SDN with other auditing virtual safety management platforms or other network safety products. According to the system and method, customizable and extensional virtual auditing services are provided in the cloud computing data center under the condition that normal operation of the services is not affected.

Some embodiments provide a novel method for deploying different virtual networks over several public cloud datacenters for different entities. For each entity, the method (1) identifies a set of public cloud datacenters of one or more public cloud providers to connect a set of machines of the entity, (2) deploys managed forwarding nodes (MFNs) for the entity in the identified set of public cloud datacenters, and then (3) configures the MFNs to implement a virtual network that connects the entity's set of machines across its identified set of public cloud datacenters. In some embodiments, the method identifies the set of public cloud datacenters for an entity by receiving input from the entity's network administrator. In some embodiments, this input specifies the public cloud providers to use and / or the public cloud regions in which the virtual network should be defined. Conjunctively, or alternatively, this input in some embodiments specifies actual public cloud datacenters to use.

The invention discloses an intelligent hotel management system based on the Internet of everything, which comprises an intelligent hotel cloud data center, an intelligent knowledge base and a plurality of intelligent hotel systems, and is characterized in that the intelligent hotel cloud data center is used for integrating hotel related data of all of the intelligent hotel systems and forming a database; the intelligent knowledge base is used for collecting data of the intelligent hotel systems in real time on the one hand, performing data interaction with the intelligent hotel cloud data center on the other hand, and performing analysis and decision-making on an intelligent hotel system according to field data of the intelligent hotel systems and the data integrated by the intelligent hotel cloud data center; and the intelligent hotel system comprises a guest service analysis and decision-making subsystem, a guest service analysis and decision-making command and control subsystem, a whole supply chain material management and control subsystem, an engineering security and protection integrated analysis and decision-making subsystem. The intelligent hotel management system explores values of data which includes facility and equipment operation data, guest behavior data and hotel business district ecological data; and real-time and accurate data enables hotel services and management decision-making to be more efficient and more scientific.

The invention discloses a two-level management method for a hybrid desktop cloud service platform. The two-level management method for the hybrid desktop cloud service platform comprises the following steps: building a hybrid desktop cloud data center; sending a login request to a central management node (Vmm-Server) by a server node; receiving and processing the login request of the server node by the central management node; uniformly receiving user requests by the central management node through a service interface layer; responding to the user requests by the central management mode according to a two-tier scheduling method; maintaining system load balance by the central management node according to the current system state and the running state of a virtual machine. According to the two-level management method disclosed by the invention is designed and realized upon the open system architecture of a hybrid desktop cloud server, and the scheduling and migration efficiency of the virtual machine can be improved.