30 results about "Cloudlet" patented technology

The invention discloses a wireless resource and cloud resource combined distribution method in an MEC. The method comprises that (1) a terminal in the MEC initiates a task uninstalling request, and a task uninstalling cost function of the terminal is established; (2) different access points in the heterogeneous network obtains the task uninstalling cost functions of different terminals in a coverage area, and sends the task uninstalling requests of the terminals and channel information of the network to cloudlets; (3) the cloudlets distribute wireless and cloud resources in a combined manner on the basis of a cooperative game, obtains a Nash equilibrium solution via KKT conditions, and sends the Nash equilibrium solution to the terminals; (4) each terminal requests the cloudlets and the access points for computing and wireless resources according to the Nash equilibrium solution; and (5) the cloudlets and the access points distribute the computing and wireless resources according to the request of the terminal. On the basis of the cooperative game, limited computing resources in the cloudlets are utilized fully, the instantaneity of the tasks of the terminals is ensured while minimizing task uninstalling cost of all the terminals is taken as the objective, and the task uninstalling requirements of the different mobile terminals are met.

Systems and methods for standards compatible Mobile Edge Computing (MEC), including splitting Serving gateways (SGWs) and Packet Data Network gateways (PDN-GWs) to provision sufficient resources to deploy data-plane entity instances locally at a Radio Access Network (RAN) edge with one or more cloudlets. One or more local controller nodes is deployed in one or more operator clouds, a dedicated bearer is leveraged to route traffic from the one or more cloudlets through the split SGWs and PDN-GWs, and the dedicated bearer is configured with a traffic flow template (TFT) including an Internet Protocol (IP) address of the one or more cloudlets. Efficient access to one or more MEC applications at the RAN edge is provided to one or more user devices using the dedicated bearer.

A system and method to compress, aggregate and archive Internet of Things data originating from sensors can use a point cloud based geometric data model and a distribution and aggregation method based on compressed point cloud representations. The compression can occur at a gateway or a point of presence near the access point, or alternatively in an IoT server located anywhere else in a network, such as in a core data center. In one embodiment a cloudlet in an access point performs the data modeling and compression at the access point. In some embodiments, a system or method stores and distributes data to relevant entities formatted in a point cloud based model that combines (x,y,z) geometry attributes with values attached in the attributes (a1, a2, a3) and uses point cloud compression. A receiver can then decode the point cloud and recompose the aggregated sensor data, enabling inspection of the data.

The invention provides a centralized management type distributed cloud computing system composed of cloudlet systems. The system combines physically scatter cloudlet systems into a close entirety through a cloud cluster management center for the management and communication of cloudlet clusters, the approval management of resource borrow application between the cloudlets, resource scheduling management between the cloudlets, monitoring of use conditions of cloudlet resources and indexes of the cloudlet resources; computing and storage resources necessary for actual use are provided for a user by the cloudlet systems, the resources necessary for the user of any cloudlet system can also be borrowed from another cloudlet system, each cloudlet system comprises a complete cloud computing system having independent external service ability and self management ability, a cloud cluster management module responsible for communicating with the cloud cluster management center and a cloud inter-operation module responsible for communicating with the cloudlet systems. The resource borrow between the cloudlets can effectively improve the resource utilization rate of the cloud system, break through the service bottleneck of a centralized cloud service platform and share the resources to a larger extent.

A control method, a network system and a control platform for mobile-edge computing (MEC) are provided. The control method can select at least one of relay gateways in the device-to-device relay network as a mobile-edge cloudlet for a user equipment. An application service program may be performed by the mobile-edge cloudlet, that the user equipment may receive a corresponding response with respect to an application service without accessing to a core network.

The invention provides a method for realizing 3D cloud layer simulation, which comprises the following steps of: A. making a 3D sky dynamic background varying with time; B. drawing a plurality of design sketches for a cloud sheet to form cloud form images; C. generating a single cloudlet by arranging a plurality of cloud sheets in a cubic space, carrying out the random sampling from the cloud form images by using random setting of UV coordinates according to different heights of cloud layers; D. setting the position attribution of each cloudlet after generating a plurality of the single cloudlets so as to generate a cloud layer; E. regulating the display of the 3D dynamic sky background in real time and setting real-time colors of the cloud layers according to current time; F. adding the dynamic effect for the cloud layers. By adopting the method, efficient and complicated cloud layer effects can be made by using several 2D design sketches of cirrus clouds or cumulus clouds and regulating the quantity of the cloud sheets and clouds, then more real and natural cloud layers can be simulated by regulation of a light source and addition of the dynamic effects.

The present invention relates to a method for cloudlet-based optimization of energy consumption, comprises: building a cloudlet system that comprises: at least two cloudlets and a mobile device wirelessly connected to the cloudlets, so that the cloudlets provide the mobile device wirelessly connected thereto with cloud computing services; acquiring system data related to the mobile device from the cloudlet system for analyzing a data volume to be handled by the mobile device locally and setting an initial operating frequency FLinitial for a first processor of the mobile device according to the data volume; and based on a tolerable latency range T of a task queue, dynamically deciding a scheduling strategy for individual task of the task queue using a Markov Decision Process, and setting a present operating frequency FL for the first processor of the mobile device corresponding to the scheduling strategy, so as to enable the mobile device to complete the tasks within the tolerable latency range T with minimal energy consumption.

A system and method to compress, aggregate and archive Internet of Things data originating from sensors can use a point cloud based geometric data model and a distribution and aggregation method based on compressed point cloud representations. The compression can occur at a gateway or a point of presence near the access point, or alternatively in an IoT server located anywhere else in a network, such as in a core data center. In one embodiment a cloudlet in an access point performs the data modeling and compression at the access point. In some embodiments, a system or method stores and distributes data to relevant entities formatted in a point cloud based model that combines (x,y,z) geometry attributes with values attached in the attributes (a1, a2, a3) and uses point cloud compression. A receiver can then decode the point cloud and recompose the aggregated sensor data, enabling inspection of the data.

The invention provides an intelligent mobile cloudlet multimedia terminal, which is designed based on a microelectronic technology and an embedded technology and utilizes a high-end processor hardware platform with an advanced RISC machine (ARM) architecture. The intelligent mobile cloudlet multimedia terminal comprises a processor, a memory circuit, a global positioning system (GPS) circuit, a general packet radio service (GPRS) circuit, a wireless fidelity (WIFI) circuit, a network circuit, a radio frequency identification (RFID) reading circuit, a video and audio circuit, a cloudlet networking circuit and a human-computer interaction circuit. A loaded multimedia operating system has the functions of real-time task scheduling, multimedia data conversion and synchronous control, multimedia equipment driving and control, cloudlet networking processing and calculation, graphical user interface management and the like. The intelligent mobile cloudlet multimedia terminal has the functions of a mobile phone, a GPS, a netbook, an RFID reader and the like, is applied to various aspects of logistics, medical treatment, commerce, intelligent transportation and the like, is application software customized according to the requirements of a multimedia system terminal user or a user application software system oriented to a certain field, and is a system product oriented to mass users. A plurality of intelligent mobile cloudlet multimedia terminals can be automatically networked to realize the processing and calculation of a cloudlet topology structure.

The invention discloses a mobile cloud computing random task sequence scheduling method based on Lyapunov optimization. The method comprises the following steps: 1, establishing a task queue model of a mobile terminal; 2, establishing a model of total energy consumption and total execution time of the mobile terminal, and constructing a joint optimization objective function; and 3, constructing a Lyapunov optimization function, and optimizing and combining the objective function to obtain an optimal execution scheduling strategy. According to the method, the execution energy consumption of the mobile equipment and the execution time of the task can be comprehensively considered, and the resources of the mobile terminal, the cloudlet micro cloud and the far-end cloud are effectively utilized, so that the energy consumption of the mobile terminal and the waiting time of a user are reduced on the premise of ensuring the stability of the system.

The invention discloses an optical remote sensing image cloud judging result correcting method based on context. No probabilistic model is need building, the design is carried out aiming at cloud judging problems, and judging results and background information of adjacent modules are used at the same time to correct an original judging result. The optical remote sensing image cloud judging result correcting method based on the context includes the steps: firstly, reading in related data to be processed, wherein the related data to be processed comprises a partitioned index matrix, a partitioned gray mean matrix and background information of an original image; secondly, generating a judging value of Block by using a judging value of Tile, composing a Block index matrix, and constructing a Block gray mean matrix according to the partitioned gray mean matrix; thirdly, utilizing the Block with the judging value of pretty sure cloud and pretty sure ground features to correct the Block judging value which is uncertainty; fourthly, using target context and scene context to judge background of a processed object, to reject false-alarm at the junction of ground features, to reject false-alarm of cloudlet and adjust an adjacent target of the object which is judged to be certainty, and finally whether the Block being cloud or not is judged out.

The invention discloses a cloud rendering method and device in a virtual environment, equipment and a storage medium, and belongs to the field of virtual environment rendering. The method comprises the steps that a double-layer cloud map is obtained through calculation based on a double-layer cloud model, the double-layer cloud map comprises a phototropic cloud channel and a backlight cloud channel, the phototropic cloud channel is used for indicating color level information of a phototropic layer, and the backlight cloud channel is used for indicating color level information of a backlight layer; calculating a first weight corresponding to the phototropic layer and the backlight layer; rendering the color level information of the phototropic layer based on the first weight to obtain a phototropic rendering result of the phototropic layer; and rendering the color level information of the backlight layer based on the first weight to obtain a backlight rendering result of the backlight layer, and mixing the phototropic rendering result and the backlight rendering result to obtain a cloud rendering result. According to the method, the double-layer cloud model in the virtual environment can simulate real clouds, so that the double-layer clouds in the virtual environment are more real.

The invention discloses a calculation migration method considering privacy protection in a wireless metropolitan area network environment. The method comprises the following steps: 1, obtaining cloudlet resource requirements, supply conditions and equipment deployment information in a wireless metropolitan area network; 2, obtaining a conflict state and a privacy leakage state of a calculation task; 3, formulating a calculation task dynamic scheduling method according to the characteristics of the calculation task; 4, according to a scheduling strategy, calculating an average resource utilization rate deviation of the clouds, and calculating a transmission delay of a task; and 5, evaluating the target function values under various scheduling strategies, and selecting an optimal strategy for managing the cloudlet calculation task of the enhanced service function of the wireless metropolitan area network. According to the method, a scheduling strategy is given in real time according to the resource information, so that the user privacy is protected, the cloudlet load balance is optimized, the calculation migration time can be shortened, and the service performance is improved.

Systems and methods for standards compatible Mobile Edge Computing (MEC), including splitting Serving gateways (SGWs) and Packet Data Network gateways (PDN-GWs) to provision sufficient resources to deploy data-plane entity instances locally at a Radio Access Network (RAN) edge with one or more cloudlets. One or more local controller nodes is deployed in one or more operator clouds, a dedicated bearer is leveraged to route traffic from the one or more cloudlets through the split SGWs and PDN-GWs, and the dedicated bearer is configured with a traffic flow template (TFT) including an Internet Protocol (IP) address of the one or more cloudlets. Efficient access to one or more MEC applications at the RAN edge is provided to one or more user devices using the dedicated bearer.

The invention discloses a dynamic cloudlet deployment method for mobile terminal devices. The method comprises the following steps that 1, the positions of K mobile device gathering centers can be acquired through a K-means algorithm according to the current positions of the mobile devices; 2, the positions of the mobile device gathering centers are abstracted into one path graph to be processed;3, according to the gathering centers, the mobile device gathering centers not meeting the condition are filtered out through a cloudlet placement strategy; 4, the positions of the gathering centers and the current positions of cloudlets are subjected to position matching, and the position where each cloudlet needs to reach is obtained; and 5, the moving paths of the cloudlets are obtained througha Dijkstra algorithm, and the cloudlets are moved to the target positions.

The invention discloses an optical remote sensing image cloud judging result correcting method based on context. No probabilistic model is need building, the design is carried out aiming at cloud judging problems, and judging results and background information of adjacent modules are used at the same time to correct an original judging result. The optical remote sensing image cloud judging result correcting method based on the context includes the steps: firstly, reading in related data to be processed, wherein the related data to be processed comprises a partitioned index matrix, a partitioned gray mean matrix and background information of an original image; secondly, generating a judging value of Block by using a judging value of Tile, composing a Block index matrix, and constructing a Block gray mean matrix according to the partitioned gray mean matrix; thirdly, utilizing the Block with the judging value of pretty sure cloud and pretty sure ground features to correct the Block judging value which is uncertainty; fourthly, using target context and scene context to judge background of a processed object, to reject false-alarm at the junction of ground features, to reject false-alarm of cloudlet and adjust an adjacent target of the object which is judged to be certainty, and finally whether the Block being cloud or not is judged out.

The invention relates to the technical field of information processing, relates to realization of information identification through identification image processing, and specifically relates to a system and a method for predicting weather based on images. The weather prediction system is used for carrying out matching analysis according to image data acquired in real time and stored information bya server, so that a weather result can be obtained through real-time analysis, and rapid and efficient weather prediction is realized. According to the weather prediction method, weather prediction is conducted through the system, image data are read for the obtained sky environment image, information such as clouds is recognized from the image data, and several kinds of weather conditions possibly occurring in a certain period of time in the future can be predicted according to the matching result of the cloud information and the current environment data. Autonomous weather query of most users can be satisfied, weather in a future time period can be predicted more accurately, and the problems of low accuracy of current weather prediction and complex prediction method are solved.

The invention discloses a prediction method. The prediction method comprises the following steps: acquiring cloud image information shot by a camera device on a captive balloon; acquiring wind speed and wind direction data measured by a wind speed and wind direction sensor on the captive balloon; comparing pre-stored image information with the cloud image information, and classifying the cloud image information to obtain cloud data; in combination with the cloud data and the wind speed and direction data, performing analysis according to a weather prediction model to obtain weather prediction information; sending the weather prediction information to a display screen of a command center for displaying; wherein the captive balloon is arranged on a border defense line. The invention further discloses a sniping system and a computer readable storage medium. The method can achieve the weather prediction of the local area of the frontier defense line, and provides a reference for the military protection of frontier defense.

The present invention relates to a method for cloudlet-based optimization of energy consumption, comprises: building a cloudlet system that comprises: at least two cloudlets and a mobile device wirelessly connected to the cloudlets, so that the cloudlets provide the mobile device wirelessly connected thereto with cloud computing services; acquiring system data related to the mobile device from the cloudlet system for analyzing a data volume to be handled by the mobile device locally and setting an initial operating frequency FLinitial for a first processor of the mobile device according to the data volume; and based on a tolerable latency range T of a task queue, dynamically deciding a scheduling strategy for individual task of the task queue using a Markov Decision Process, and setting a present operating frequency FL for the first processor of the mobile device corresponding to the scheduling strategy, so as to enable the mobile device to complete the tasks within the tolerable latency range T with minimal energy consumption.

The invention relates to a rain condition forecasting platform based on cloud detection, and the platform comprises a signal recognition device which is used for carrying out the detection of cloud objects on a received customized image based on cloud color features, so as to obtain each cloud object in a content-sharpened image; the color recognition equipment is used for executing gray scale recognition on a cloud object in the middle position in the image so as to obtain a reference gray scale corresponding to the cloud object; and the flashing board driving equipment is connected with the color recognition equipment and is used for driving each flashing board of the house corresponding to the roof to open the respective flashing board when the received reference gray level is lower than a preset gray level threshold value. The cloud detection-based rain condition forecasting platform is simple in principle and convenient to operate. Because a live-action detection mechanism is adopted to carry out on-site forecasting and coping on the rain condition, the defect of remote forecasting of a meteorological department is effectively made up.

The invention provides a method for realizing 3D cloud layer simulation, which comprises the following steps of: A. making a 3D sky dynamic background varying with time; B. drawing a plurality of design sketches for a cloud sheet to form cloud form images; C. generating a single cloudlet by arranging a plurality of cloud sheets in a cubic space, carrying out the random sampling from the cloud form images by using random setting of UV coordinates according to different heights of cloud layers; D. setting the position attribution of each cloudlet after generating a plurality of the single cloudlets so as to generate a cloud layer; E. regulating the display of the 3D dynamic sky background in real time and setting real-time colors of the cloud layers according to current time; F. adding the dynamic effect for the cloud layers. By adopting the method, efficient and complicated cloud layer effects can be made by using several 2D design sketches of cirrus clouds or cumulus clouds and regulating the quantity of the cloud sheets and clouds, then more real and natural cloud layers can be simulated by regulation of a light source and addition of the dynamic effects.

The invention discloses a portable cloud making machine. The portable cloud making machine comprises a cloud making machine body, a fixing mechanism and a cutting mechanism; the fixing mechanism is located at the upper end of the cloud making machine body and comprises a left cover plate and a right cover plate; a base plate is arranged in the middle of the upper surface of one side of the left cover plate, and the middle of the upper surface of the base plate is movably connected with a second connecting rod; and the outer surface of the upper end of the second connecting rod is movably connected with a clamping block, and the middle of the other side of the right cover plate is provided with a fixing seat. Through a clamping groove, the base plate, the clamping block, the first connecting rod, the second connecting rod, a pressure plate and the fixing seat which are arranged, the left cover plate and the right cover plate are conveniently connected into a whole, and a person can quickly open the cloud making machine body more conveniently; and through a first screw, a first wing plate and a first hinge which are arranged, the left cover plate and the right cover plate can be movably connected with the cloud making machine body conveniently, and the person overturns the left cover plate and the right cover plate on the outer surfaces of the two sides of the cloud making machine body more conveniently.

The invention discloses a joint allocation method of wireless resources and cloud resources in MEC, including: (1) a terminal in MEC initiates a task offloading request, and establishes a task offloading cost function of the terminal; (2) each interface of a heterogeneous network The entry point obtains the task offloading cost function of each terminal in the coverage area, and sends the task offloading request of the terminal and the channel information of the network to Duoyun; (3) Duoyun performs joint allocation of wireless resources and cloud resources based on the cooperative game, using the KKT condition Get the Nash equilibrium solution, and send the game Nash equilibrium solution to the terminal; (4) The terminal requests computing resources and wireless resources from the cloud and the access point according to the Nash equilibrium solution; (5) The cloud and the access point request Allocate computing and wireless resources. Based on the cooperative game, the present invention makes full use of the limited computing resources in Duoyun, and aims at minimizing the offloading cost of all terminal tasks, while ensuring the real-time performance of each terminal task and meeting the task offloading requirements of each mobile terminal.

The invention relates to the technical field of mobile phone accessories, in particular to a mobile phone support which fixes a mobile phone to the top of a room or floats in the air like a cloud. Theproblems that hands need to be released when a user holds a mobile phone for a long time and works, and an existing mobile phone support is inconvenient to move, limited in fixation, low in head andthe like are solved, and therefore the novel mobile phone support is a brand-new support mode. The mobile phone support is characterized in that the mobile phone support is of a two-part structure: 1,a cloud floating device: an aluminum foil helium balloon and foam rubber; 2, a height and angle adjusting device used by the mobile phone comprises a fine line, a suction tube, a cotton swab and a preservative film; an original connecting structure and an adjusting device are designed; the mobile phone support is characterized in that the mobile phone support is easy to move and has room decoration attractiveness; and the mobile phone support is simple in structure, light in weight, low in cost, convenient to move and fix the mobile phone, capable of being adjusted at various angles and heights, capable of releasing both hands without lowering the head and promising in market prospect.

A method for building an edge computing intelligent perception system for the protection of Ming Great Wall ruins. By using cloudlet-based open source technology, an edge computing intelligent perception system based on terminal-edge-cloud three-tier architecture was built, which solved the problems of 1) weak computing power of monitoring equipment in the protection of Ming Great Wall ruins; 2) high response delay of cultural relics protection; The problem of difficulty in guaranteeing the stability of the network has achieved good results, and it has played a demonstration role for the protection of wild earthen sites.

The invention discloses a meteorological satellite remote sensing cloud picture processing method. The cloud picture processing method comprises the following steps: firstly, acquiring an image 1, an image 2 and an image 3 through different meteorological satellites; performing image decomposition on the image 1, the image 2 and the image 3 to obtain a plurality of parameter representations; performing fusion and multi-scale construction on the plurality of parameter representations; obtaining a fused image; analyzing and processing the fused image; and acquiring and analyzing data of the image. After the structure is adopted, the method has the following advantages that a plurality of parameters are decomposed from the images of the visible light cloud picture, the infrared cloud picture and the water vapor picture, and then image fusion is carried out through a wavelet transform fusion method, so that cloud data can be obtained from a fusion drawing; the weather condition, the cloud trend, the humidity vertical distribution and the like of an image area can be obtained according to the data, and the local weather condition is detected in a high-precision, high-time-efficiency and coverage mode.

A control method, a network system and a control platform for mobile-edge computing (MEC) are provided. The control method can select at least one of relay gateways in the device-to-device relay network as a mobile-edge cloudlet for a user equipment. An application service program may be performed by the mobile-edge cloudlet, that the user equipment may receive a corresponding response with respect to an application service without accessing to a core network.

The invention discloses a method for adjusting brightness of a mobile phone screen. The method includes the steps: (1) setting and displaying a sun pattern and a plurality of clouds on a main interface of the mobile phone screen; (2) dragging the clouds, and shifting the clouds to the front or the back of the sun pattern; and (3) automatically adjusting the brightness of the mobile phone screen according to the number of the clouds in the front and at the back of the sun pattern. The method is high in operability and interestingness, and operation experience of users is increased.

The invention discloses a regional-level source network load system evaluation method based on a cloud model, and the method comprises the steps: firstly building an evaluation system for a regional-level source network load system, and obtaining an evaluation result of an expert for each index; secondly, converting semantic evaluation of experts in the indexes by utilizing a cloud model to generate corresponding clouds, then calculating weights of the indexes in the evaluation system by adopting a max-min method to obtain accurate index weights, and finally calculating evaluation results of the experts by utilizing a multi-attribute decision-making method to finish accurate evaluation of the system at different moments. According to the regional source network load system evaluation method based on the cloud model, different decision schemes of the source network load system can be effectively evaluated, support is provided for source network load cooperative scheduling in a power grid, meanwhile, the operation efficiency of the regional source network load system can be improved, and a guarantee is provided for safe and reliable operation of the power grid.