The invention discloses a method and a system for elastically scheduling resources. The method comprises the following steps: acquiring target data, and performing data analysis on the target data toobtain a functional index for representing a service running condition; obtaining a service demand according to the functional index; and acquiring an alarm event and an elastic scheduling strategy, and performing elastic expansion and reduction adjustment conforming to the service demand on container resources in a data center resource pool according to the alarm event and the elastic schedulingstrategy.

Method and system for elastically scheduling resources

The invention discloses a cloud computing platform based on data mining and big data analysis, and a method. The cloud computing platform comprises a cloud computing platform system, the cloud computing platform system is provided with a data excavation cloud server, a data mining ability layer, a cloud computing supporting platform, a third party mining algorithm service layer, a data service layer, a scheduling service layer, a mining algorithm service layer, a data preprocessing service layer, an algorithm service management layer, a scheduling engine, a data parallel processing layer, an operation and maintenance layer and management, a resource management layer, a system monitoring layer, a resource scheduling layer, and a resource safety module. After a system determines that danger occurs, the platform can start adaptive linkage measures according to different danger levels, linkage modes are reasonable and fast in response, and the platform supports to push danger notifications to business of a tested area to which danger occurs, and the platform supports a networking police alarm system to automatically alarm when major danger condition occurs.

Cloud computing platform based on data mining and big data analysis, and method

The invention discloses a service group starting and stopping method and a service group starting and stopping system based on an SDN. According to the service group starting and stopping method, a cloud platform is adopted to control an SDN controller to detect the starting and stopping conditions of a virtual machine; since the SDN controller belongs to the basic configuration of a cloud network, extra virtual machine resources do not need to be utilized like a traditional virtual sandbox machine method; and compared with a traditional intrusion type starting and stopping method, the servicegroup starting and stopping method does not need to embed a safety start-stop script into cloud service virtual machine, so that the development difficulty is reduced, the development, operation andmaintenance cost is reduced, and the continuity and stability of the system can be effectively guaranteed.

Service group starting and stopping method and system based on SDN

The invention discloses a virtual resource flexible scheduling implementation method combining application performance indicator monitoring data. The method includes the following steps: 1), scheduling the configuration which needs elastic pool scheduling rules according to time and/or business system indicators; (2), conducting scheduling based on elastic pool scheduling rules; 2-1), declaring virtual machine queue to be started and stop queue; 2-2), inquiring the available elastic pool; 2-3), conducing circulation processing; 2-4), judging the scheduling rules, executing the time scheduling method of 2-4-1) when the rule is the time scheduling rule; executing the business system indicator scheduling method of 2-4-2) when the rule is the business system indicator scheduling rule; 2-5), starting all virtual machines of the queue to be started; 2-6), stopping all the virtual machines of the queue to be stopped; and 2-7), terminating the scheduling. The virtual resource flexible scheduling implementation method combining the application performance indicator monitoring data solves the problem that the hardware resource is wasted in the prior art, adopts the flexible scheduling rules, reduces the waste of the hardware resource by the business system, and effectively reduces the cost.

Virtual resource flexible scheduling implementation method combining application performance indicator monitoring data

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Virtual resource flexible scheduling implementation method combining application performance indicator monitoring data