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890 results about "Mobile edge computing" patented technology
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Multi-access edge computing (MEC), formerly mobile edge computing, is a network architecture concept that enables cloud computing capabilities and an IT service environment at the edge of the cellular network and, more in general at the edge of any network. The basic idea behind MEC is that by running applications and performing related processing tasks closer to the cellular customer, network congestion is reduced and applications perform better. MEC technology is designed to be implemented at the cellular base stations or other edge nodes, and enables flexible and rapid deployment of new applications and services for customers. Combining elements of information technology and telecommunications networking, MEC also allows cellular operators to open their radio access network (RAN) to authorized third parties, such as application developers and content providers.
A joint optimization method for task unloading and resource allocation in a mobile edge computing network
ActiveCN109814951AFull restorationUniversalService provisioningProgram loading/initiatingDecision takingWireless resource allocation
The invention discloses a joint optimization method for task unloading and resource allocation in a mobile edge computing network, which comprises the following steps of 1, establishing an OFDMA (Orthogonal Frequency Division Multiple Access)-based multi-MEC (Mobile Edge Computing) base station and a multi-user scene model, wherein the MEC base station supports the multi-user access; 2, introducing an unloading decision mechanism; Meanwhile, constructing a local calculation model and a remote calculation model, selecting a user needing to perform calculation unloading, and establishing a calculation task unloading and resource allocation scheme based on minimum energy consumption under the condition of meeting the time delay constraint according to the conditions; 3, carrying out variablefusion on three mutually constrained optimization variables, namely an unloading decision variable, a wireless resource distribution variable and a computing resource distribution variable, so as to simplify the problem; and 4, obtaining an unloading decision and a resource allocation result which enable the total energy consumption of the user in the MEC system to be minimum through a branch andbound algorithm. The method has the advantage that the energy consumption of the system can be effectively reduced on the premise that strict time delay limitation is guaranteed.
Owner:NANJING UNIV OF POSTS & TELECOMM
Distributed mobile edge computing unloading method in ultra-dense network architecture
ActiveCN107819840AReduce overheadMinimize Energy ExpenditureWireless commuication servicesTransmissionNetwork architectureMobile edge computing
The invention discloses a distributed mobile edge computing unloading method in an ultra-dense network architecture, belonging to the technical field of wireless communication network and cloud computing. The method includes the following steps: calculating the interference of mobile equipment, and if unloading is needed, carrying out computing unloading by selecting a strategy that meets the loadlimitation, interference limitation and delay limitation; further, when the energy overhead of the selected strategy is superior to a current computing unloading strategy, sending update request information to a currently-selected base station to request to update the own computing unloading strategy; after the mobile equipment acquires the information that the base station allows to update the computing strategy, notifying other mobile equipment that the current update opportunity has been acquired, and adopting the updated strategy in the next time slot; and if the mobile equipment does notacquire the update opportunity, maintaining the existing strategy in the next time slot. According to the method disclosed by the invention, the energy consumption in a computing unloading process can be effectively reduced under the premise of guaranteeing a certain delay limitation, the purpose of saving the energy consumption can be effectively achieved, and the good leading effect and applicability can be achieved.
Owner:BEIJING UNIV OF POSTS & TELECOMM
Edge cloud network-based communication and computing resource replacement method
ActiveCN108541027AGuide consumer behaviorIncrease delayNetwork traffic/resource managementData switching networksQuality of serviceNetwork conditions
The invention discloses an edge cloud network-based communication and computing resource replacement method. The method comprises the following steps: respectively building a communication model and acomputing model under a mobile edge computing scene according to a load condition and a network condition of each cell, classifying tasks in a task queue according to a QoS (Quality of Service) parameter of mobile equipment, and making a flexible pricing strategy to compute price cost under each task execution mode. Therefore, whether a task of a terminal is downloaded to an MEC (Mobile Edge Computing) server or not is decided according to the QoS of the mobile equipment and downloading cost by using finite computing and communication resources of the MEC server; computing downloading is executed and an optimal computing downloading path is selected to provide a service for the mobile equipment; and furthermore, optimal distribution of resources can be quickly and flexibly achieved according to a variation of a service demand of the mobile equipment, so that the utilization rate of the resources is increased.
Owner:NANJING UNIV OF POSTS & TELECOMM
A computing task unloading method based on edge computing and cloud computing collaboration
ActiveCN109684075AReduce energy consumptionResource allocationTransmissionEdge computingMobile edge computing
Owner:SHENZHEN POWER SUPPLY BUREAU
Network system for providing mobile edge computing service and service method thereof
ActiveCN108494612AFlexible deploymentEasy to useMetering/charging/biilling arrangementsAccounting/billing servicesC-RANMobile communication network
The invention discloses a network system for providing mobile edge computing service and a service method thereof, so as to solve the technical problem of flexible deployment of MEC on a mobile communication network. In the C-RAN architecture, an SDN-based MEC controller is deployed, and an MEC server is deployed in the BBU. The service implementation step mainly comprises the following steps: setting a decision threshold; judging whether the time delay is sensitive or not and the like to determine a computing mode by an MEC controller; and giving a computing result through four computing modes of computing of a local MEC server, combination computing of a plurality of MEC servers, computing of a specific non-local MEC server and computing of a cloud center; and finishing all user MEC tasks through repeated executions. According to the method, the MEC service is realized; meanwhile, the remaining computational resources in the BBU can be sufficiently used, and the MEC network hierarchyis more concise, so that the management is facilitated, the data transmission efficiency is improved, the pressure of a core network is relieved, and the overall computing task time delay is reduced.The method can be used for flexible deployment of the MEC on the mobile communication network in the present 4G period, the 4G to 5G transition period and the 5G period.
Owner:XIDIAN UNIV
Delay and energy consumption-based efficient offloading method for computing task of mobile edge computing system
The invention discloses a delay and energy consumption-based efficient offloading method for a computing task of a mobile edge computing system. The method comprises the steps of building a macro basestation with multiple users and one deployment mobile edge computing (MEC) server and a single-cell cell model of a small base station without an MEC server; then building a mathematical model basedon a wireless communication theory; and finally, designing a delay and energy consumption-based efficient offloading solution for a computing task of the MEC system through a parallel greedy algorithm, and analyzing and providing the performance of the solution. Compared with existing efficient energy consumption offloading solution, the method well weights the delay sensitive demand and energy consumption demand of a terminal user, and lowers delay and total energy consumption of the system.
Owner:BEIJING UNIV OF TECH
Mobile edge computing task unloading method in multi-user scene
ActiveCN108920279AGuaranteed service qualityEnsure fairnessProgram initiation/switchingResource allocationPersonalizationMobile edge computing
The invention discloses a mobile edge computing task unloading method in a multi-user scene, and relates to the processing technical field of mobile computing systems. The invention aims to reduce response time delay and energy consumption of a mobile device. The multi-user scene is multiple mobile devices and an MEC server which are connected. Each mobile device can select one of multiple channels between the mobile device and the MEC server to perform communication. The MEC server is connected with a center cloud server through a backbone network. The method specifically comprises the following steps: constructing a multi-user scene task unloading model; and performing a two-stage task unloading strategy based on a game theory: the first stage unloading strategy is as follows: determining whether unloading is executed on the mobile device or on the MEC server, and the second stage unloading strategy is as follows: while MEC server resources are insufficient, determining whether to wait on the MEC server or execute on the center cloud server. The method is capable of, under the precondition of guaranteeing service quality and fairness of a user, considering personal requirements of the user.
Owner:HARBIN INST OF TECH
Enabling high-bandwidth, responsive mobile applications in LTE networks
ActiveUS20170048876A1Efficient accessMetering/charging/biilling arrangementsAccounting/billing servicesHigh bandwidthRadio access network
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.
Owner:NEC CORP
MEC (Mobile Edge Computing)-based energy-sensing unloading energy delay compromise proposal under Internet of vehicles
ActiveCN109413615AParticular environment based servicesVehicle-to-vehicle communicationCloud baseThe Internet
The Internet of vehicles distributes computing tasks between a remote cloud and a local vehicle-mounted terminal to improve vehicle services. In order to further reduce the delay and transmission costof computing unloading, the invention provides a cloud-based MEC (Mobile Edge Computing) unloading framework. MEC brings the computing capacity to a mobile network edge close to intelligent mobile equipment; compared with local computing, the MEC contributes to saving energy, but leads to network load increase and transmission delay. In order to research a balance between the energy consumption and the delay, the invention provides an energy-sensing unloading scheme. The scheme is to co-optimize communication and computing resource distribution under limited energy and sensitive delay. In thetext, a multi-cell MEC network scene is considered. Residual energy of a vehicle battery is introduced into a definition of a weighing factor of the energy consumption and the delay. For an MINLP (Mixed Integer Non-Linearity Problem) of the computing unloading and resource distribution, an original NP (Network Performance) difficult problem is decoupled into problems on seeking power and subcarrier distribution and unloading tasks.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Content caching decision and resource allocation combined optimization method based on mobile edge computing in Internet of Vehicles
ActiveCN110312231AParticular environment based servicesVehicle infrastructure communicationFrequency spectrumThe Internet
The invention relates to a content caching decision and resource allocation combined optimization method based on mobile edge computing in the Internet of Vehicles, and belongs to the technical fieldof mobile communication. The mobile edge calculation MEC is used as a foreground edge calculation, and has strong calculation capability and storage capability. The MEC server is deployed on the RSU side and can provide storage space and computing resources for vehicle users. Although the MEC provides services similar to cloud computing, the problems of caching, computing resource allocation, spectrum resource allocation and the like still exist. The method aims to maximize the network revenue under the condition of guaranteeing the time delay requirement. According to the method, a content caching decision, MEC server computing resource distribution and spectrum resource distribution are jointly modeled into a Markov decision process (MDP), a deep reinforcement learning method is used forsolving, and an optimal content caching decision, computing resource distribution and spectrum distribution are obtained.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
MEC-based V2X mobility prediction and content cache unloading scheme
ActiveCN109391681ANetwork traffic/resource managementParticular environment based servicesVehicle to infrastructureKalman filtering algorithm
Mobile Edge Computing (MEC) has the advantages of high bandwidth and low latency and has attracted extensive attention in the study of next generation of mobile networks by providing service environment and computing power at the edge of mobile networks. The invention discloses a vehicle task unloading and user mobility prediction and edge cache fusion policy in a vehicle networking environment. An MEC-based unloading framework is built. Tasks can be unloaded to an MEC server for vehicle-to-infrastructure (V2I) communications or can be unloaded to an adjacent vehicle for vehicle-to-vehicle (V2V) communications. Considering task backhaul failure caused by link disconnection caused by user mobility, the Kalman filter algorithm is used to predict link connection estimation, and a user can select a stable service node during task request and task collection. Cache decisions are made before the service node first returns a task to a request vehicle. Access latency, traffic load and networkcost can be significantly reduced through content cache.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Inter-cellular base station offloading method based on MEC (Mobile Edge Computing)
ActiveCN106900011ASolve the problem of not getting better QoEIncrease profitPower managementNetwork traffic/resource managementHot zoneMobile edge computing
The invention discloses an inter-cellular base station offloading method based on MEC (Mobile Edge Computing). The method comprises the following steps: sending a reference signal carrying a collaboration cluster building request to a peripheral base station by a hot zone base station; receiving a report of at least one base station by the hot zone base station, selecting N collaboration base stations of which channels are better and remaining computing resources are enough to compute an offloading request within a preset time slot, and building a collaboration cluster; initializing transmission power of the hot zone base station specific to the collaboration base stations in the collaboration cluster, and judging whether the transmission power meets a time delay requirement of the offloading request or not; and determining a joint utility value according to the transmission power and time delay of the hot zone base station, and selecting transmission power in a group of data with a minimum joint utility value as actual transmission power. Through adoption of the inter-cellular base station offloading method based on the MEC disclosed by the invention, the user quality of experience of a hot zone is improved; the power consumption is lowered as much as possible; and meanwhile the utilization ratio of computing resources of a small base station is increased.
Owner:CERTUS NETWORK TECHNANJING
MEC (Mobile Edge Computing) based task distributed uninstalling and cooperation execution scheme in IoV (Internet of Vehicles)
The invention researches a problem of making a related task uninstalling decision due to limitation of own resources after a vehicle releases an application demand. Due to an increasingly complex userrequest, the user request is partitioned into a plurality of fine granulated tasks, each task depend on each other, the tasks can be distributively uninstalled to an MEC server around to carry out computing, results are transmitted back after computing is ended, and task vehicles with small computation quantities can be locally executed after computation. MEC is scheduled by a core controller toimplement content sharing. The vehicles have movability and are changed along with an Ad hoc network topological structure, and thus, the invention firstly discloses a system framework, then disclosesa multi-node multi-factor cooperation scheme based on the framework and finally, discloses a resource cooperative scheduling mechanism by the means of a game theory for making a dispersion and entirety combined uninstalling decision, so that a task uninstalling delay is reduced, and a task execution rate is improved.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Dynamic resource allocation method based on evolutionary game in mobile edge computing system
ActiveCN107465748AGuaranteed balanceSatisfy task offloading requirementsNetwork traffic/resource managementAssess restrictionDynamic resourceComputational resource
The invention discloses a dynamic resource allocation method based on evolutionary game in a mobile edge computing system. The method comprises the following steps that (1) a network is divided into a plurality of areas according to the network coverage condition, accessible service points in the areas are different, and a centralized controller is arranged in the network; (2) terminals with the task unloading need in the same area form a population, and the terminals in the population establish task unloading cost functions; (3) all terminals in each population randomly select accessible SPs in an SP selection strategy set; the evolutionary game is established in each population in the network; (4) the terminals in each population compute task unloading costs and send the SP selection strategies and the cost information to the controller; (5) the population carries out SP selection strategy update according to dynamic copy; and (6) the dynamic copy reaches evolution equilibrium. The method fully utilizes the computing resources and the radio resources of the SPs, aims at the equal task unloading costs of all terminals in the populations and meets the task unloading need of each mobile terminal based on the evolutionary game.
Owner:SOUTHEAST UNIV
Computing task unloading system and method
ActiveCN110377353ASolve the problem of computing task offloadingIncrease consumptionService provisioningProgram loading/initiatingEdge computingMobile edge computing
The invention provides a computing task unloading system. The computing task unloading system comprises a mobile edge computing server, a user terminal and a communication network; the mobile edge computing server undertakes the computing task unloaded by the user terminal, and the user terminal unloads the computing task to the edge computing server for running through a communication network bya computing task unloading method. The calculation task unloading method provides a calculation task unloading model, a calculation task unloading decision non-cooperative game model is formulated based on the calculation task unloading model, and a calculation task unloading game method based on the game theory principle is formulated through the non-cooperative game model so as to obtain the calculation task unloading method. According to the system and the method, the energy consumption and the time delay of computing task unloading of each user terminal are jointly optimized, and a Nash equilibrium solution for minimizing the energy consumption and the time delay of computing task unloading of each user terminal is found.
Owner:HUNAN UNIV
Mobile edge computing node selection method, device and system
The invention relates to the field of mobile communication, and particularly relates to a mobile edge computing node selection method, device and system. the method comprises: the edge cloud gateway receiving a domain name request forwarded by the user plane function, wherein the domain name request is forwarded when a domain name in the domain name request sent by the terminal is analyzed by a user plane function to be a service acceleration domain name or a destination address is an IP address with global load balance; or forwarding the domain name request when the user plane function determines that the protocol port information in the domain name request sent by the terminal meets the protocol port requirement or the destination address is an IP address with global load balance; and obtaining a corresponding edge application VIP from the global load balance, sending the VIP to the terminal through the user plane function, receiving a service request sent by the terminal forwarded by the user plane function, and distributing the service request to the corresponding MEC processing server. An edge cloud gateway is newly added, DNS and HTTP DNS addressing scenes are compatible, edge computing nodes are selected nearby, and the purpose of edge acceleration is achieved.
Owner:SHENZHEN TENCENT COMP SYST CO LTD
LORA Internet-of-Things environmental data collection and cochain implementation method based on edge computing and blockchain
ActiveCN109194761AMeet access needsReduce transmission loadParticular environment based servicesTransmissionEdge computingMobile edge computing
The present invention provides a LORA Internet-of-Things environmental data collection and cochain implementation method based on edge computing and a blockchain, belonging to the related field of Internet-of-Things data collection and storage. The mechanism provides a feasibility method capable of overcoming the problem or at least partially solving the problem. The implementation system architecture of the method comprises the following steps of: achieving blockchain data and at least one LORA edge gateway communication by a server; allowing the LORA networking technology to meet the accessdemand of a lot of edge devices in an Internet-of-Things environment with low cost; employing an embedded microprocessor to achieve edge computing, performing preprocessing of the obtained environmentdata to reduce the calculated amount of the data processing and analysis, improve the calculation efficiency, reduce the network transmission load, reduce the network transmission delay and save theenergy consumption; and employing the blockchain storage technology to ensure the credibility and the safety of data storage.
Owner:BEIJING UNIV OF TECH
Resource allocation method suitable for mobile edge computing scenes
ActiveCN107708135AAchieve energy saving effectAvoid duplicate transmissionHigh level techniquesWireless communicationMobile edge computingMobile device
The invention relates to a resource allocation method suitable for mobile edge computing scenes. The method is used for realizing optimal task cache and uploading and downloading time allocation and low-complexity suboptimum task cache and uploading and downloading time allocation based on task cache and transmission optimization mechanisms, when the computation result of a to-be-executed task ofa mobile device has been cached by a base station, the mobile device downloads the computation result of the task from a base station, otherwise, the mobile device uploads the task to the base stationfor computation, and then downloads the computation result of the task from the base station, when multiple mobile devices upload the same task to the base station, the base station selects the mobile device with the best channel to achieve the uploading, when the multiple mobile devices download the computation result of the same task, the base station sends the computation result of the task ina multicast mode, and the mobile device having the worst channel just successfully receives the computation result. Compared with the prior art, the resource allocation method has the advantages of jointly optimizing the cache and uploading and downloading times and saving energy.
Owner:SHANGHAI JIAO TONG UNIV
Task unloading and resource allocation method based on mobile edge computing in Internet of Vehicles
ActiveCN111314889AImprove spectrum utilizationInternal combustion piston enginesParticular environment based servicesResource assignmentMobile edge computing
The invention discloses a task unloading and resource allocation method based on mobile edge computing in the Internet of Vehicles. The method comprises the following specific steps: establishing an Internet of Vehicles communication scene comprising vehicle-to-vehicle V2V and vehicle-to-infrastructure V2I communication; clustering the vehicle nodes in the scene, and dividing the vehicle nodes into a V2I user cluster and a V2V user cluster; for a V2V user cluster in the scene, dividing, pairing and optimizing V2V request nodes and service nodes in the V2V user cluster; calculating the total delay of task processing of all nodes in the scene; the optimization problem model is established by taking minimization of the total delay of vehicle task processing in the Internet of Vehicles systemas a target and combining constraint conditions, and the optimization problem model is solved by utilizing a quantum particle swarm algorithm to obtain a channel of the Internet of Vehicles system, computing resource allocation and a power allocation strategy of each vehicle node. According to the method, the MEC-based task unloading and resource allocation problem in the Internet of Vehicles environment is solved with lower complexity.
Owner:SOUTH CHINA UNIV OF TECH
5G mobile communication method and system based on MEC (Mobile Edge Computing) and hierarchical SDN (software defined network)
ActiveCN107404733AImplement localizationImprove data processing efficiencyNetwork traffic/resource managementEdge nodeMobile internet
The present invention discloses a 5G mobile communication method and system based on MEC (Mobile Edge Computing) and a hierarchical SDN (software defined network). The method includes the following steps that: S1, a business request is received and is forwarded to an MEC edge node; S2, a Packet-in message is sent to an MEC node controller through the switch of the MEC edge node; S3, whether the MEC edge node has business consistent with business requested by the business request is judged; S4, a total controller performs network slicing planning and selection according to the business request, and then sends a Packet-out message to a core network controller included in an SDN sub-controller; S5, the core network controller performs resource scheduling processing on a mobile network, and buffers business or services related to the business request to the MEC edge node according to current resource occupation quantity; and S6, a terminal acquires the business or services from the MEC edge node. With the 5G mobile communication method and system provided by the technical schemes of the invention adopted, problems such as delay, congestion and capacity of a network can be solved, and ultimate experience of terminal users can be realized. The method and system have the advantages of high traffic, low time delay, low energy consumption, high reliability and the like.
Owner:SHANDONG COMP SCI CENTNAT SUPERCOMP CENT IN JINAN
Mobile edge computing task unloading method in single-user scene
ActiveCN108920280AReduce latencyReduce energy consumptionProgram initiation/switchingResource allocationOptimal schedulingMobile edge computing
The invention discloses a mobile edge computing task unloading method in a single-user scene, and relates to the field of treatment of a mobile computing system. The invention aims to reduce the reaction time delay and energy consumption of mobile equipment. construction of single-user scene task unloading model comprises construction of a system overall model and construction of each partial model, wherein the construction of each partial model comprises: a task queue model, a local computing model, a cloud computing model and a computing task loading model; a task unloading strategy: givinga task unloading scheme targeting at minimizing the system overall load K; executing all tasks on local CPU or an MEC server based on binary particle swarm optimization; correspondingly and locally executing a load optimal scheduling strategy, and executing a load optimal scheduling strategy by the MEC server based on pipeline scheduling. Through verification, the task unloading method in a sing-user scene provided by the invention reduces the reaction time delay and energy consumption of the mobile equipment.
Owner:HARBIN INST OF TECH
Load sharing method of mobile edge computing application and controller
ActiveCN106358245AImprove processing efficiencyNetwork traffic/resource managementMobile edge computingDistributed computing
The embodiment of the invention provides a load sharing method of a mobile edge computing application and a controller. The method comprises the following steps: when the controller detects that the operation load of a mobile edge computing application on a mobile edge computing server reaches a preset load threshold of the mobile edge computing application, the controller increases the available resources of the mobile edge computing application so that the mobile edge computing application processes the service of the mobile edge computing application by use of the increased available resources; and / or the controller establishes a parallel mobile edge computing application of the same type as the mobile edge computing application; the controller processes the service of the mobile edge computing application by use of the parallel mobile edge computing application of the same type; and the processing efficiency of the service of the mobile edge computing application is improved.
Owner:BAICELLS TECH CO LTD
Multi-server mobile edge computing based control and resource scheduling method
InactiveCN107734558AIncrease flexibilityImprove processing efficiencyNetwork traffic/resource managementResource allocationTime delaysMobile edge computing
The invention discloses a resource allocation and base station service deployment method based on mobile edge computing, and the method comprises the following steps: when a computing task is detectedin a mobile terminal, sending a computing migration request to a smart base station; when a cache unit in the base station is short of computing data needed for the task request, sending the needed task data requirement to a network side; receiving the needed task data returned by the network side; computing a time delay gain and an energy consumption gain according to the received needed task data; obtaining a computing migration decision matrix according to an experienced utility function; and performing computing migration according to the computing migration decision matrix. The base station deployment scheme comprises a cache unit, a computing unit, an acquisition processing unit and a sending unit, and can provide computing ability and data caching ability. Thus, the MEC based resource scheduling method and base station service deployment scheme can realize the computing migration in which terminals have multiple tasks, the base stations are multifunctional and targets are diversified.
Owner:BEIJING UNIV OF POSTS & TELECOMM
Joint task unloading and resource allocation method in mobile edge computing network
ActiveCN111447619AIncrease the unload ratioReduce latencyNetwork planningHigh level techniquesMobile edge computingResource allocation
The invention relates to a joint task unloading and resource allocation method in a mobile edge computing network, and belongs to the field of wireless communication and mobile edge computing. The method comprises the steps that UE generates a new computing task and sends a task unloading request to an MEC server; the MEC server collects calculation unloading request information sent by all user sides in the time slot; the user calculation task is matched with MEC server resources for the first time to form an initial unloading strategy set, and the value of an initial target function is calculated; and a minimum target function value is solved, and a user with the optimal target function value is obtained. The unloading decisions of all the users are updated, whether the obtained optimaltarget function is not smaller than the target function value of the last time or not is judged, and if yes, the unloading decisions are output, the channel allocation matrix and the optimal computingresources are determined. According to the invention, the cost expenditure of user unloading is reduced, and the total cost of mobile users is saved; and more calculation unloading tasks can be accepted, so that the task execution efficiency of the system is improved.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
Industrial soft gateway based on multiple access and edge computing and implementation method
ActiveCN108667725AGuaranteed optimal deliveryCancel noiseNetwork connectionsSpecial data processing applicationsData cloudConfiguration interaction
The invention provides an industrial soft gateway based on multiple access and edge computing and an implementation method. The industrial soft gateway comprises a configuration interaction module, adata collection module, a data edge computing module and a data sending control module, wherein the configuration interaction module comprises a connection configuration module and a data standardization module; the data collection module is used for a multiple access collection method; the data edge computing module is used for carrying out real-time computing on the data collected by the data collection module; and the data sending control module is used for carrying out caching and task scheduling and allocation of external forwarding on all data to be sent. According to the industrial softgateway based on multiple access and edge computing and the implementation method, a visual interface is arranged to provide connection configuration and standardized operation for various communication protocols and databases, and meanwhile, a graphical monitoring interface of a data collection state, an edge computing result and a forwarding state is provided. Data standardization can be realized, the data noise can be eliminated and the data features can be extracted through the edge computing module, the network transmission data volume of a data cloud platform is reduced, and the data transmission efficiency is improved.
Owner:HARBIN ELECTRIC CO LTD
Distributed uplink unloading strategy for mobile edge computing
The invention discloses a distributed uplink unloading strategy for mobile edge computing. The invention obtains an adaptive computing unloading strategy based on the Lyapunov theory and a proposed deviation degree update decision algorithm DUDA. The strategy comprises two main aspects: first, obtaining an optimal unloading decision set of users in Small Cells based on the Lyapunov theory on the premise of ensuring the system stability and minimized overhead; and secondly, proposing the DUDA to decide an unloading decision update sequence of the Small Cells in each time slot according to the deviation degree; and in the distributed uplink unloading strategy disclosed by the invention, it is considered that a user terminal has partial task unloading capability, that is, the tasks of a single users can be subdivided, a part of tasks are selected for local calculation according to specific application requirements and available resources with the target of minimizing the system overhead,and the remaining tasks are unloaded to an edge server of a Macro Cell in the HetNet scene. According to the distributed uplink unloading strategy disclosed by the invention, the system stability andthe optimal overhead are ensured by determining a drift penalty function, and an optimal unloading strategy set of users in the Small Cell under the condition is obtained.
Owner:ELECTRIC POWER RES INST OF STATE GRID ZHEJIANG ELECTRIC POWER COMAPNY +2
A computing unloading method based on mobile edge computing in the Internet of Things
ActiveCN109788069AImprove performanceAdd maximum delay constraintData switching networksDynamical optimizationEdge computing
The invention belongs to the technical field of Internet of Things task unloading, and particularly relates to a computing unloading method based on mobile edge computing in the Internet of Things. The invention relates to a theoretical framework of Internet of Things (Internet-of-Things-of-Things, IoT), Mobile Edge Computing (MEC), mode selection and node matching, dynamic optimization and the like. According to the technical scheme, local unloading is considered; Direct cloud unloading, Device end offload, Four computing unloading modes of equipment relay forwarding unloading are adopted, the influence of the social relation between the equipment on the unloading service level and the long-term dynamic performance of the system are added and considered, a system long-term income functionrelated to time delay and energy consumption is constructed, and a computing unloading scheme based on edge computing in the Internet of Things is obtained through mode selection and node matching. The method has the beneficial effects that better balance is achieved in the aspects of time delay and energy consumption performance, and the reliability and the stability of the system are improved.
Owner:UNIV OF ELECTRONICS SCI & TECH OF CHINA
Mobile edge computing node selection method, device and system
The invention relates to the field of mobile communication, in particular to a mobile edge computing node selection method, device and system, and the method comprises: an edge cloud gateway receivinga first HTTP service request forwarded by a user plane function; wherein the first HTTP service request is forwarded when the user plane function analyzes that a destination address in the first HTTPservice request sent by the terminal is an edge application VIP; and determining a corresponding MEC processing server based on the first HTTP service request and a preset shunting strategy, and shunting the first HTTP service request to the corresponding MEC processing server. Thus, the edge cloud gateway is newly added, the problem that an MEC node selection scheme for the 5G mobile communication network does not exist in the prior art is solved, edge computing nodes can be selected nearby, and the purpose of edge acceleration is achieved.
Owner:TENCENT TECH (SHENZHEN) CO LTD +1
Unloading time delay optimization method in mobile edge computing scene
ActiveCN110113190AThe total offload delay is continuously minimizedNeural architecturesData switching networksAlgorithmTime delays
The invention aims to provide an unloading delay optimization method in a mobile edge computing scene. The method comprises the following steps: step 1, constructing a system model, wherein the systemmodel comprises 2M users and an MEC server, each user has L tasks and needs to be unloaded to the MEC server for calculation, and it is assumed that only two users are allowed to adopt a mixed NOMA strategy to unload at the same time; step 2, setting each user as an executor, and performing action selection by each executor according to a DQN algorithm, i.e., selecting one user from the rest 2M-1users as the own transmission partner and unloading the transmission partner at the same time; step 3, performing system optimization by using a DQN algorithm: calculating the total unloading time delay of the system, updating a reward value, then training a neural network, and updating a Q function by using the neural network as a function approximator after the selection of all users is completed; and continuously carrying out the iterative optimization on the system until the optimal time delay is found. The problem of high time delay consumption in the existing multi-user MEC scene is solved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV
Mobility management method and system for mobile edge computing
ActiveCN108632813AGuaranteed service qualityImplement Mobility ManagementHigh level techniquesNetwork data managementQuality of serviceIp address
The invention discloses a mobility management method and system for mobile edge computing. The method comprises the following steps that a change of an IP address of UE is acquired to obtain a changeof a bearing path, and a position change of the system UE is determined by analyzing a data packet; after target MEC acquires a bearing change of the system UE, the system UE is guaranteed to continuously use services of an MEC application in a process of moving in different MEC regions; the mobile edge computing application is migrated from system source MEC to system target MEC according to a migration decision; after the system migration is completed, the system target MEC carries out routing update and provides a local mobile edge computing service for the system UE; and the system targetMEC provides services for the system UE and sends a notification to the system source MEC simultaneously, and the system source MEC determines whether to be closed or not according to a use conditionof a system application. According to the method, the energy optimization can be effectively realized on the premise of guaranteeing the customer service quality.
Owner:BEIJING UNIV OF POSTS & TELECOMM
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