30 results about "Cloudlet" patented technology

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.

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 multi-dimensional resource pricing method in a mobile cloud computing environment based on a bilateral market. The method runs in the mobile cloud computing environment, the method involves two groups of participants in the mobile cloud computing environment, one group of participants are Cloudlets which have resources, and the other group of participants are VMs which request the resources. The VMs are regarded as a buyer in a bilateral market economic model, the Cloudlets are regarded as a seller, and the two sides complete allocation of the resources through a price interactive mechanism, unloading execution of an application request from the VMs to the Cloudlets is completed, and energy consumption of the mobile equipment is reduced. The price interactive mechanism in the method is based on a bilateral market game and is designed through combination of a punishment pricing mechanism and a balanced utility discount, the multi-dimensional resources of the application request of a mobile user can be reasonably distributed and dispatched on a plurality of Cloudlets, and therefore system benefits of a mobile cloud are maximized.

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 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 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 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.

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.

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.