1203 results about "Cloud computing services" patented technology

According to one system of the invention, the system provides a cloud-computing service from a cloud-computing environment comprising a plurality of cloud-computing resources. The system may comprise: a management module configured to manage a cloud-computing resource of the plurality of cloud-computing resources as a cloud-computing service, wherein the cloud-computing service performs a computer workload; an adapter configured to connect to the cloud-computing resource to the system and translate a management instruction received from the management module into a proprietary cloud application program interface call for the cloud-computing resource; a cloud service bus configured to route the management instruction from the management module to the adapter; a consumption module configured to allow a user to subscribe the cloud-computing service; a planning module configured to plan the cloud-computing service; and a build module configured to build the cloud-computing service from the cloud-computing resource and publish the cloud-computing service to the consumption module.

A method and system for real-time analytics of sensor-based data is disclosed. Also disclosed is a Cloud-based Paltform-as-a-Service (PaaS) offering for sensor driven applications with services and features for their complete life-cycle management including prompt development, testing, deployment and so forth. The method of the present disclosure enables real-time tracking of various physical parameters and attributes related to smart-spaces using sensor devices implemented in the premises of the smart-space environment and using crowd-sourced user input data. Further, the parameters obtained are sent to the cloud-computing server, wherein the analytics are performed in real-time based on the obtained parameters.

The invention relates to a cloud computing resource scheduling method based on dynamic reconfiguration virtual resources. The method comprises the steps of: using cloud application load information collected by a cloud application monitor as a basis; making a dynamic decision based on the load capacity of the virtual resources for running cloud application and the current load of the cloud application; and dynamically reconfiguring virtual resources for cloud application based on the decision result. Dynamic adjustment of resources is realized by a method for reconfiguring virtual resources for cloud application, without needing dynamic redistribution of physical resources or stopping executing cloud application. The method can dynamically reconfigure the virtual resources according to the load variation of the cloud application, optimize allocation of the cloud computing resources, realize effective use of the cloud computing resources, and meet the requirements on dynamic scalability of cloud application. In addition, the method can avoid waste of the cloud computing resources, and save the cost for using resources for cloud application users.

Embodiments of the present invention provide a cloud gateway system, a cloud hypervisor system, and methods for implementing same. The cloud gateway system extends the security, manageability, and quality of service membrane of a corporate enterprise network into cloud infrastructure provider networks, enabling cloud infrastructure to be interfaced as if it were on the enterprise network. The cloud hypervisor system provides an interface to cloud infrastructure provider management systems and infrastructure instances that enables existing enterprise systems management tools to manage cloud infrastructure substantially the same as they manage local virtual machines via common server hypervisor APIs.

An embodiment is directed to a hybrid cloud environment wherein a user of cloud computing services is disposed to consume cloud provided services delivered by each of a plurality of cloud computing service providers. Specified event data is received at an MCS component, wherein the event data pertains to metering events related to consumed services delivered by one or more cloud service providers. Event data includes event data furnished by one or more entities that actively monitor metering events at one or more local or remote cloud service provider locations. Event data is sent from the MCS component to a metering system, and the metering system generates reports from the event data that contains usage information on services provided by one or more cloud service providers, wherein information for a provider specifies amounts and quality of each type of service delivered to users by the provider.

Data processing workload administration in a cloud computing environment including distributing data processing jobs among a plurality of clouds, each cloud comprising a network-based, distributed data processing system that provides one or more cloud computing services; deploying, by a job placement engine in each cloud according to the workload execution policy onto servers in each cloud, the data processing jobs distributed to each cloud; determining, by each job placement engine during execution of each data processing job, whether workload execution policy for each deployed job continues to be met by computing resources within the cloud where each job is deployed; and advising, by each job placement engine, the workload policy manager when workload execution policy for a particular job cannot continue to be met by computing resources within the cloud where the particular job is deployed.

In one exemplary aspect, an edge-gateway multipath method includes the step of providing an edge device in a local network communicatively coupled with a cloud-computing service in a cloud-computing network. A set of wide area network (WAN) links connected to the edge device are automatically detected. The WAN links are automatically measured without the need for an external router. The edge device is communicatively coupled with a central configuration point in the cloud-computing network. The method further includes the step of downloading, from the central configuration point, an enterprise-specific configuration data into the edge device. The enterprise-specific configuration data includes the gateway information. The edge device is communicatively coupled with a gateway in the cloud-computing network. The communicatively coupling of the edge device with the gateway includes a multipath (MP) protocol.

A system and associated method for securing sensitive data in a cloud computing environment. A customer system has proprietary data as a record stored in a database. The customer system associates a hashing directive with the record prior to sending the data out to a cloud for computing services. The hashing directive classifies each data field of the record into sensitive and transactional. The hashing directive controls a mode of hashing, either one-way hashing or two-way hashing for each sensitive data field associated with the hashing directive. A cloud receives the record secured according to the hashing directive and process the record to generate a result value for a cloud process result field of the record. The customer system reconstitutes the record the record according to the mode of hashing indicated in the hashing directive.

The invention discloses a cloud service medium, a cloud computing method and a cloud system. The cloud service medium comprises a cloud service releasing interface module, a cloud service consuming interface module, a cloud service processing module and a cloud service adapting module, wherein the cloud service releasing interface module is used for subscribing for cloud computing services and resource information which are provided by multiple cloud service providers; the cloud service consuming interface module is used for providing a consuming interface by which cloud service requestors can be accessed to the cloud service providers for the cloud service requestors; the cloud service processing module is used for processing the cloud service consumption requests of the cloud service providers; and the cloud adapting module is used for adapting the cloud computing services and resources provided by the cloud service providers for the cloud service requestors according to the cloud service consumption requests. According to the invention, the cloud service requestors can use the cloud services provided by different cloud service providers, the system resource is saved and the system efficiency is improved.

A cloud computing access gateway includes a cloud management module configured to store a cloud provider and information of a cloud computing service provided by the cloud provider. A user terminal interface module is configured to provide an interface with a user terminal, receive a service request indicating a cloud computing service from the user terminal, and send a result of the cloud computing service to the user terminal. A request analysis module is configured to analyze the received service request to identify the cloud computing service. A cloud selection module is configured to select a best cloud provider based on the cloud computing service. A cloud interface module is configured to provide an interface with the cloud provider, transmit the service request to the best cloud provider, and receive the result of the cloud computing service from the best cloud provider.

The invention discloses a layered distributed cloud computing architecture and a service delivery method. The architecture is composed of a core cloud, an edge cloud and a terminal. The core cloud is a cloud computing service center composed of servers with powerful storage and computing capacity; the edge cloud is composed of server nodes distributed in different networks and regions and is connected with the core cloud by backbone network, and the terminal is an entity which uses a cloud computing service provided by the core cloud and edge cloud. The core cloud and the edge cloud work together to provide the cloud computing service for terminal users and uses relevance of data transmitted by the core edge and the terminal to process the data so as to reduce traffic. In the invention, network flow in most of cloud computing is confined to the local network between the edge and the terminal, thus lowering traffic of the backbone network, effectively avoiding the problems of network congestion, high latency and the like in the existing centralized cloud computing mode and improving user experience.

The invention relates to the field of cloud computing, in particular to a cloud-computing-based platform as a service (PaaS) platform system and an implementation method thereof. The system comprises a service request management module, a software as a service (SaaS) application system, a service publication system, a cloud operating system, a marketing management system, cloud computing service and a cloud computing hardware virtualization framework. The implementation method comprises the following steps of: performing hardware virtualization on a server cluster by utilizing the cloud operating system, configuring different operating systems according to different requirements of the application system, and dynamically and uniformly allocating and managing hardware resources; and binding users of different systems with different user authentication certificates, adopting the active encryption of real-time encryption and decryption to prevent breach of confidence, and controlling the rights of the application system integrated on a PaaS platform. The problems about the independence, security and high-efficiency resource utilization of the system are solved; and the method can be applied to the cloud-computing-based PaaS platform system.

In one exemplary aspect, an edge-gateway multipath method includes the step of providing an edge device in a local network communicatively coupled with a cloud-computing service in a cloud-computing network. A set of wide area network (WAN) links connected to the edge device are automatically detected. The WAN links are automatically measured without the need for an external router. The edge device is communicatively coupled with a central configuration point in the cloud-computing network. The method further includes the step of downloading, from the central configuration point, an enterprise-specific configuration data into the edge device. The enterprise-specific configuration data includes the gateway information. The edge device is communicatively coupled with a gateway in the cloud-computing network. The communicatively coupling of the edge device with the gateway includes a multipath (MP) protocol.

The invention belongs to the technical field of cloud computing, and is to achieve data sharing under the premise of protecting privacy and deep learning application on the basis of data sharing. Thetechnical scheme adopted by the method is a privacy-protecting multi-party deep learning computation proxy method under a cloud environment. Each participant runs a deep learning algorithm based on arespective data set to compute a gradient parameter value, and uploads the gradient parameter that is encrypted by a multiplicative homomorphic ElGamal encryption scheme to a server; when uploading the gradient parameter to the cloud server, the participant simultaneously generates the signature of the parameter, and the signature meets polymerization, that is to say the cloud server can compute the gradient parameter and the signature; the cloud computing server computes the sum of gradient parameters of all users on a ciphertext, and returns the result back to the user, and the user acquiresthe final gradient parameter sum after decrypting, and verifies validity of the sum through checking whether the result and the polymerized signature are the effective message and signature. The method provided by the invention is mainly applied to cloud computing occasions.

In one exemplary aspect, an edge-gateway multipath method includes the step of providing an edge device in a local network communicatively coupled with a cloud-computing service in a cloud-computing network. A set of wide area network (WAN) links connected to the edge device are automatically detected. The WAN links are automatically measured without the need for an external router. The edge device is communicatively coupled with a central configuration point in the cloud-computing network. The method further includes the step of downloading, from the central configuration point, an enterprise-specific configuration data into the edge device. The enterprise-specific configuration data includes the gateway information. The edge device is communicatively coupled with a gateway in the cloud-computing network. The communicatively coupling of the edge device with the gateway includes a multipath (MP) protocol.

A method and technique for autonomous selection of a Data Center Cluster (DCC) for fulfilling a cloud computing service request, including a technique for grouping data centers (DCs) in a cloud network according to a ranking of eligible DCCs based on selection criteria. In various embodiments, the selection criteria may include a cluster performance metric, a cluster resource equivalence metric, a balance of resource performance metric, a DCC load index, or combination thereof. Other aspects include techniques for computing / determining each of the selection criteria.

The invention discloses a remote wireless farmland monitoring system and method. The remote wireless farmland monitoring system comprises a farmland information acquisition subsystem, an irrigation control subsystem, a wireless remote transmission unit, and a cloud computing server, wherein the farmland information acquisition subsystem comprises multiple sensor nodes for acquiring growth information data of farmland crops; the irrigation control subsystem receives irrigation and fertilization commands from the cloud computing server to perform precise fertilization and irrigation; and the cloud computing server performs crop growth simulation day by day in the whole growing period of the crops, computes daily water demand information and growth nutrition information, and sends irrigation and fertilization commands to the irrigation control subsystem in real time. By virtue of the remote wireless farmland monitoring system and method disclosed by the invention, the effect of optimizing and guiding the irrigation and fertilization during crop plantation by farmers is achieved, and more precise irrigation and fertilization control can also be provided so as to achieve the aims of saving water and fertilizer and improving earnings.

In one exemplary aspect, an edge-gateway multipath method includes the step of providing an edge device in a local network communicatively coupled with a cloud-computing service in a cloud-computing network. A set of wide area network (WAN) links connected to the edge device are automatically detected. The WAN links are automatically measured without the need for an external router. The edge device is communicatively coupled with a central configuration point in the cloud-computing network. The method further includes the step of downloading, from the central configuration point, an enterprise-specific configuration data into the edge device. The enterprise-specific configuration data includes the gateway information. The edge device is communicatively coupled with a gateway in the cloud-computing network. The communicatively coupling of the edge device with the gateway includes a multipath (MP) protocol.

The invention discloses a system for managing cloud computing service, which comprises a cloud computing management platform and a cloud application database, wherein the cloud application database is connected with the cloud computing management platform, and the cloud computing management platform is connected with public clouds or private clouds through a network; and the cloud application database comprises all installation packages for cloud application; and the cloud computing management platform is used for helping customers to realize managing a cloud host in the public clouds or private clouds and cloud application in the cloud host. The cloud computing management system provided by the invention realizes the unified management of multiple public clouds and multiple private clouds through a public cloud management interface and a private cloud management interface, so that great convenience is provided for users.

The invention provides a dish recommendation system based on data mining and cloud computing service. The method comprises the following steps: 1) receiving a recommendation request input by a user; b) judging whether the user selects a restaurant, and if not, recommending at least one restaurant for the user; c) reading a restaurant template according to the selected restaurant or the recommended restaurant, so as to generate at least one dish collocation scheme based on a dish model; d) scoring the generated at least one dish collocation scheme, wherein scoring standards are selected from at least one of special dish matching judgement, user historical behaviour and evaluation judgement, food material repeatability judgement and user collaborative recommendation weighting; e) selecting a scheme with the highest score and recommending the scheme to the user; f) judging whether the user is satisfied with the recommended scheme, and if not, recommending again until the user is satisfied; and g) updating the dish model, the restaurant model and a user model based on the scheme which the user is satisfied with or not.

The invention discloses a cloud computing resource scheduling method based on scheduling object space. According to the method, the concept of scheduling object space is introduced for setting a flexible standard framework, so that a user can explain the requirement on service resource scheduling, namely the user can select required scheduling attribute for optimization, wherein a multi object resource distribution scheduling mechanism can make adaptive resource scheduling decision under the driving of the expandable user scheduling object space. The method can dynamically deploy cloud computing resource according to the requirement of the user on resource scheduling, and realizes the adaptive optimal distribution of the cloud computing resource driven by the user requirement. Moreover, the scheduling strategy can avoid over turning-on of a cloud computing server as much as possible, thereby improving the utility ratio of resources and reducing the cost of a cloud service provider.

An apparatus and a method for multimedia data handling to a web or cloud-computing service are disclosed. A set-top box can generate a pre-encoded stream of digitized data after receiving a raw incoming multimedia signal or after receiving a pre-processed, decoded, decompressed, and / or decrypted incoming multimedia signal from a service provider-specific signal receiver. The set-top box can also generate streams of encoded multimedia data from the pre-encoded stream of digitized data and segmentize the streams of encoded multimedia data into individually-viewable segments for uploading to the web or cloud-computing service, wherein a size of each segment varies based on a current connection bandwidth availability and / or a workload on the set-top box. By automatically segmentizing the streams of encoded multimedia data into individually-viewable segments for the web or cloud-computing service, a user can start viewing the currently-uploading multimedia data faster than a conventional single stream upload.

The invention relates to a fault detecting system and a fault detecting method for photovoltaic power station remote monitoring. The fault detecting system comprises a plurality of photovoltaic power station detecting systems, a cloud calculating server, a plurality of user sides and a plurality of clients. The photovoltaic power station detecting systems are is communicated with the cloud calculating server thorough a local area network. The cloud calculating server is communicated with the user sides. The clients are communicated with the cloud calculating server. The fault detecting method includes data acquisition and processing, fault detecting and removing, data processing server data summarization and communication module data transmission. The fault detecting system and the fault detecting method have the advantages that equipment operation conditions of a photovoltaic power station, communication to the user sides is achieved through a network platform and the like.

Systems and methods for managing cloud computing resources are provided. A plurality of available cloud computing servers may be identified by a cloud computing resource manager (“CCRM”). The CCRM may include one or more computers. The initiation of one or more processes on one or more servers included in the plurality of cloud computing servers may be directed by the CCRM. Operational data associated with the operation of the one or more processes and network data associated with network timing delays between the one or more servers and one or more client devices in communication with the one or more servers may be obtained by the CCRM. Based at least in part upon the operational data and the network data, the distribution of resources among the plurality of cloud computing servers may be managed by the CCRM.

An apparatus and method for providing a game service in cloud computing environment. A method may be provided for providing a streaming game service using a plurality of cloud computing servers. The method may include receiving user inputs from at least one user equipments, executing and progressing at least one game program in response to the user inputs, capturing audio and video data as progress results of the executed at least one game program, and streaming the captured audio and video data to a respective user equipment.

A cloud computing service to securely process queries on a database. A security device and method of operation are also disclosed. The security device may be provisioned with a private key of a subscriber to the cloud service and may have processing hardware that uses that key, sequestering the key and encryption processing in hardware that others, including operating personnel of the cloud service, cannot readily access. Processing within the security device may decrypt queries received from the subscriber and may encrypt responses for communication over a public network. The device may perform functions on clear text, thereby limiting the amount of clear text data processed on the cloud platform, while limiting bandwidth consumed in communicating with the subscriber. Such processing may include formatting data, including arguments in a query, in a security protocol used by the cloud platform.

The invention provides an ant colony optimization computing resource distribution method based on a cloud computing environment. The computing resource distribution method is based on ant colony optimization and characteristics of the cloud computing environment. The cloud computing resource distribution method comprises the steps of predicting computing quality of potential available nodes, analyzing influence of factors such as network bandwidth occupation, quality of a track, responding time, task cost and reliability on resource distribution according to characteristics of a cloud computing service mode, and then obtaining a set of optimized computing resources by means of the ant colony algorithm. According to the algorithm, shorter responding time and better running quality can be acquired compared with other distribution algorithms which aim at the network on the premise that cloud computing environment requirements are met, and therefore the ant colony optimization computing resource distribution method based on the cloud computing environment is more suitable for the cloud environment.

The invention provides a method for processing wireless hotspot information, a method for automatically accessing a wireless hotspot, a cloud computing server and terminals, wherein the method for processing the wireless hotspot information comprises that the cloud computing server receives a current location information which is reported through a current terminal; the cloud computing server retrieves the hotspot information from a hotspot list of the current terminal, if the hotspot of the current position of the current terminal within a first distance range is retrieved, a wireless local area network (WLAN) opening command and the retrieved hotspot information are sent to the current terminal, wherein the hotspot list contains a history hotspot list and a free hotspot list which is shared by all the terminals. According to the method, the cloud computing server is utilized to provide the hotspot information for the terminals, so that the problems that the hotspots cannot be detected and energy consumption is additionally increased due to terminal local storage and control under a WLAN off state in the current WLAN control scheme, moreover, the terminal WLAN management is more intelligent through the cloud computing server, and the user experience on the terminal is increased.

A method for cloud computing comprising collecting cloud computing node status information from a cloud computing node connected to the cloud computing network; collecting cloud computing service status information indicative of an attribute of a cloud computing service executed in the node; collecting environmental data sets from computing systems connected to a network connected to the cloud, each environmental data set corresponding to attribute values of the computing systems; building a group of computing systems; storing the node and cloud service status information, the environmental data sets, and the identical attribute value of each computing system in a database; and responsive to a request for characteristic data from one of the computing systems, selecting the respective characteristic data out of the status information and the environmental data sets in the database and sending the characteristic data over the cloud computing network and the network to the requesting computing system.

The invention discloses an identity authentication method based on biological feature encryption and a homomorphic algorithm. The method is quicker than a normal password method by using biological features of users as passwords to log in a system through a mobile device, using an encrypted biological template is safer, and privacy of the users can be guaranteed as information is transmitted in a ciphertext form. By adding factors such as timestamps, tri-party authentication among the users, a provider server and a cloud computing server is realized, and reliability among the three parties is enhanced. Legal users can be prevented from using resources in the cloud computing environment illegally to better manage the resources by means of user authentication operation according to attribution predicate encryption and real-time updating of permission information. Operation without encryption can be realized by the aid of the homomorphic algorithm, same effects as decrypting before operation can be achieved, time and space expenses can be saved, system efficiency is greatly improved, and the identity authentication method has high safety and efficiency.