40 results about "Elastic scheduling" patented technology

The invention discloses a gas-electric coupling comprehensive energy system planning method considering an elastic scheduling strategy. The method comprises the following steps: inputting the structure and equipment parameters of a gas-electric coupling comprehensive energy system according to the structure of the gas-electric coupling comprehensive energy system; establishing gas-electric coupling comprehensive energy system equipment operation constraints of the cooling typical day and the heating typical day; establishing a multi-stage optimization scheduling model oriented to elastic operation; establishing an optimization model based on a genetic algorithm; and carrying out interactive solution on the optimal configuration layer multi-stage optimal scheduling model and the operation optimization layer optimization model and outputting a solution result, wherein the solution result comprises an equipment configuration scheme and an optimal scheduling plan. According to the invention, the complementary coordination effect of the electric drive equipment and the gas drive equipment and the response capability of the energy storage device are fully considered; and a gas-electric coupling comprehensive energy system double-layer planning and design model considering an elastic scheduling strategy is established, the upper layer is evolved and optimized by adopting a genetic algorithm, and a related mathematical solver is called for solving the lower layer to obtain a system planning and design scheme and an optimal scheduling planGas-gas scheduling strategy considering elastic scheduling strategy Electrical coupling comprehensive energy system planning method: gas-gas coupling comprehensive energy system planning is carried out according to gas-gas Electrical coupling integrated energy system structure and input gas- The structure and equipment parameters of the comprehensive energy system are electrically coupled; establishment of gas-heating typical day and cooling typical day Equipment operation constraint of the integrated energy system is electrically coupled; establishing a multi-stage optimization scheduling model oriented to elastic operation; establishing an optimization model based on a genetic algorithm; and carrying out interactive solution on the multi-stage optimization scheduling model of the optimization configuration layer and the optimization model of the operation optimization layer, and outputting a solution result which comprises an equipment configuration scheme and an optimal scheduling plan. Complementary coordination effect of electric driving equipment and gas driving equipment and response capability of an energy storage device are fully considered, and a gas-gas scheduling strategy considering an elastic scheduling strategy is established; and a double-layer planning design model of the integrated energy system is electrically coupled, an upper layer adopts a genetic algorithm to evolve and optimize, a lower layer calls a related mathematical solver to solve, and a system planning design scheme and an optimal scheduling plan are obtained.

The invention relates to a hybrid resource dynamic scheduling method in a heterogeneous cloud computing environment, which comprises the following steps of: 1, creating a resource cluster according tobusiness requirements, and configuring available computing hosts of the same virtual machine type; Step 2, based on the created resource cluster, creating an available domain according to a service demand, and configuring an available cluster of the same virtual machine type; Step 3, based on the created available domain, creating a resource pool according to business requirements to set computing resources, storage resources and network resources, and adopting an elastic scheduling strategy by default for the newly created resource pool; And step 4, based on the created available domain, theuser applies to create the virtual machine on the console.

Gas-for-use considering energy storage The elastic scheduling method for the electric coupling comprehensive energy system comprises the following steps: selecting a gas-to-gas system according to selected gas-to-gas; electrical coupling integrated energy system and input gas- The structure and parameters of the comprehensive energy system are electrically coupled; establishment of gas Electrically coupling the comprehensive energy system equipment operation constraint and the cold / power supply and demand balance constraint; calculating an energy storage standby capacity rolling calculation stage; optimal scheduling of the day-ahead economic scheduling stage is carried out; and carrying out optimization scheduling of a real-time operation stage. The invention is based on solving the problem of gas-to-gas The optimal scheduling problem of an electric coupling comprehensive energy system is solved, the complementary coordination effect of electric driving equipment and gas driving equipment is fully considered, the response capacity of an energy storage device under the emergency condition is brought into play, and energy storage standby gas-gas is established and considered. And electrically coupling the multi-stage elastic scheduling model of the integrated energy system to obtain a system day-ahead scheduling plan and a load recovery scheme when a fault occurs.

The invention belongs to the technical field of cloud computing, and provides a method for flexibly scheduling virtual resources. The method includes S1, acquiring node state data of node sets in running states by the aid of a state acquisition module and storing the node state data in databases; S2, transmitting migration instructions to nodes by the aid of a resource scheduling module when scheduling strategies are triggered by the nodes in the node sets in the running states, and executing migration operation by the aid of a migration module; S3, enabling the resource scheduling module to judge whether the nodes are in idle states or not, closing the nodes if the nodes are in the idle states, adding the closed nodes to node sets which wait to be in running states, or preventing the nodes from being closed if the nodes are not in the idle states. The method has the advantages that the virtual resources in computer cluster service can be reasonably and flexibly scheduled by the aid of the method and accordingly can be prevented from being blindly configured, and energy consumption and the system overhead of cluster servers can be reduced.

The invention provides an evaluation method and device of elastic property, and relates to the technical field of the cloud computation. The method comprises the following steps: detecting the CPU usage rate of a detected server at the current moment; controlling a load generator to increase the load at the detected server under the situation that the detected CPU usage rage is greater than the preset threshold value, thereby triggering the detected server to start the elastic scheduling strategy; acquiring an elastic scheduling parameter in the process of starting the elastic scheduling strategy by the detected server, wherein the elastic scheduling parameter comprises the elastic scheduling time of the elastic scheduling strategy; and determining the elastic expansion capability of the detected server based on the elastic scheduling parameter. A technical problem that the testing way of the elastic property is poor in accuracy in the prior art is relieved.

The invention provides an intelligent single image signal indicator device. The device is an indicator device which is combination of a single image and the tablet computer technology and is used for indicating traffic signals. A display module, a monitoring module and a communication module are arranged in a tablet computer system, the display module comprises single image display area, lamp signals and traffic signals with different colors are displayed through built-in software transmission signals, the display area can be enlarged since there is a single display image, more clear and visible lamp signals can be provided for pedestrians, the monitoring module feeds back road information in real time and can be used as an intersection monitoring system due to elastic scheduling in traffic rush hours for maintenance of social security. According to the device, the tablet computer technology is integrated with a conventional traffic signal indicator, a shoulder signal controller and the intersection monitoring system so that simplification, system cloudification, and intelligence of the traffic signal indicator can be realized.

A dynamic fault-tolerant elastic scheduling method comprises the following steps: estimating a task running time; determining a scheduling type of the task according to a flexible time situation of the task; according to the scheduling type of the task, selecting the virtual machine executing the task from the virtual machine list and scheduling to realize the reliability and resource optimizationbetween the clouds.

This application relates to the elastic scheduling method, system, equipment and storage medium of GPU virtualization computing power, which belongs to the technical field of GPU virtualization. Indicators, automatically determine the computing power quota of the container; detect the real-time running indicators of the container in the business scenario; automatically adjust the number of container instances according to the real-time running indicators and the preset computing power elastic scheduling conditions. It realizes the automatic determination of the computing power quota allocated by the AI ​​reasoning container, improves the deployment efficiency of the AI ​​reasoning container, and greatly improves the utilization rate of GPU computing power.

The invention relates to a system and method for intelligently and flexibly scheduling data center resources. The system comprises an operation and maintenance monitoring module, a data analysis module, a flexible scheduling module and a strategy maintenance module, wherein the operation and maintenance monitoring module is used for collecting performance and log data and generating a corresponding alarm event according to the category and operation condition of an application program; the data analysis module is used for obtaining the alarm event, judging whether to carry out flexible scaling according to a preset flexible scheduling strategy, and if so, sending a first flexible scaling instruction to the flexible scheduling module; and the flexible scheduling module is used for responding to the first flexible scaling instruction to judge whether a data center resource pool satisfies flexible scaling requirements, if so, sending a second flexible scaling instruction to the data center resource pool and recording a flexible scaling event of the data center resource pool. Compared with the prior art, the system provided by the invention can carry out flexible expansion and contraction according to service demands, thereby improving the stability of a data center.