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282 results about "Delay sensitive" patented technology

Adaptive network system with online learning and autonomous cross-layer optimization for delay-sensitive applications

A network system providing highly reliable transmission quality for delay-sensitive applications with online learning and cross-layer optimization is disclosed. Each protocol layer is deployed to select its own optimization strategies, and cooperates with other layers to maximize the overall utility. This framework adheres to defined layered network architecture, allows layers to determine their own protocol parameters, and exchange only limited information with other layers. The network system considers heterogeneous and dynamically changing characteristics of delay-sensitive applications and the underlying time-varying network conditions, to perform cross-layer optimization. Data units (DUs), both independently decodable DUs and interdependent DUs, are considered. The optimization considers how the cross-layer strategies selected for one DU will impact its neighboring DUs and the DUs that depend on it. While attributes of future DU and network conditions may be unknown in real-time applications, the impact of current cross-layer actions on future DUs can be characterized by a state-value function in the Markov decision process (MDP) framework. Based on the dynamic programming solution to the MDP, the network system utilizes a low-complexity cross-layer optimization algorithm using online learning for each DU transmission.
Owner:SANYO NORTH AMERICA CORP +1

Architecture based on fog computing in SDN (Software Defined Network) and processing method thereof

The invention relates to an architecture based on fog computing in an SDN (Software Defined Network). The architecture comprises an Internet of Things equipment layer, a fog computing layer, a control node and a cloud computing center. A processing method of the architecture based on the fog computing in the SDN comprises the following steps: step (1), sending a request to the control node by an intelligent sensor via an intelligent Internet of Things gateway; step (2), if not being a delay-sensitive service, turning to step (3), otherwise turning to step (4); step (3), transmitting data to the cloud computing center by the control node, and feeding a result back to a controlled terminal by the cloud computing center; step (4), if a data processing service request is less than a threshold, turning to step (5), otherwise turning to step (6); step (5), searching a server occupancy table and processing the server occupancy table by selected edge servers and feeding the result back to the controlled terminal; and step (6), inquiring the server occupancy table, selecting the edge servers whose CPU utilization rate and memory usage are greater than the threshold by the control node, performing data processing by the plurality of selected edge servers, and returning a processing result to the controlled terminal.
Owner:XIDIAN UNIV

Unloading task allocation method of mobile edge computing system based on double-layer unmanned aerial vehicle

The invention discloses an unloading task allocation method of a mobile edge computing system based on a double-layer unmanned aerial vehicle. The mobile edge computing system comprises two high-altitude platform unmanned aerial vehicles provided with mobile edge computing servers and a plurality of low-altitude platform unmanned aerial vehicles, and the two high-altitude platform unmanned aerialvehicles are used for executing computing tasks unloaded by the low-altitude platform unmanned aerial vehicles; the unloading task allocation method comprises the following steps: modeling calculationtask unloading allocation problems of the low-altitude platform unmanned aerial vehicle and the high-altitude platform unmanned aerial vehicle through a game, and establishing a utility function of the upper-layer high-altitude unmanned aerial vehicle and a cost function of the lower-layer low-altitude platform unmanned aerial vehicle based on the price; and solving an equilibrium planning problem with equilibrium constraints obtained after modeling: on the basis of a strategy of fixing an upper-layer leader, firstly solving an equilibrium solution of an optimization problem of a plurality ofusers at a lower layer of the game, and then solving an equilibrium solution of a plurality of unmanned aerial vehicle base stations at an upper layer. The problems existing when an existing unmannedaerial vehicle executes calculation-intensive and delay-sensitive tasks are solved.
Owner:NORTHWESTERN POLYTECHNICAL UNIV

Software-defined network (SDN)-based data center service quality assurance method

The present invention requests to protect a software-defined network (SDN)-based data center service quality assurance method that is a method applicable to a transmission network of a separation delay sensitive application and a bandwidth sensitive application in a data center. According to the method, a core layer switch and a convergence layer switch or only the core layer switch (this is determined according to a network topological structure) are or is divided into two parts, and the two parts respectively process the delay sensitive application or the bandwidth sensitive application, so that the isolated traffic transmission of the two types of application is realized. Compared with the prior art, on the one hand, different types of application acquire better service quality and do not interfere with each other; and on the other hand, a network resource use ratio is improved due to adoption of a flexible multi-path forwarding policy. In addition, due to use of SDN advantages, a custom-defined platform that is applicable to the data center and ensures the service quality policy is provided for the user, so that an efficient data center is made conveniently, the network is managed and controlled more easily, and both the network construction cost and later running maintenance cost are reduced.
Owner:CHONGQING UNIV OF POSTS & TELECOMM
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