Cloud-based user visit request scheduling method

Abstract

The invention provides a cloud-based user visit request scheduling method, and has the following key points: in the process of carrying out scheduling on the user requests, judging the load situation of service nodes by a request scheduling module through detecting average request execution time and request queue length to be executed of each service node so as to carry out corresponding adjustment on the weight and further calculate the load interval of each service node, simultaneously generating a random number within 0-1 range to the request to be processed, searching the load interval corresponding to the random number, searching the service node corresponding to the load interval, then sending the user request to the service node for execution, monitoring the execution result and renewing the average request execution time and the request queue length to be executed of the service node, if new increased user visit request exists during the time, adding the user visit request to the user request queue to be processed, and repeating the process until all the requests are executed. Therefore, the load balancing capacity and responding speed of a cloud computing system are obviously improved.

Description

(1) Technical field [0001] The invention relates to a cloud-based user access request scheduling method. (2) Background technology [0002] Cloud computing is another sea change following the great shift from mainframe computers to client-server in the 1980s. Users no longer need to know the details of the infrastructure in the "cloud", have corresponding professional knowledge, and do not need to directly control it. Cloud computing describes a new Internet-based IT service growth, consumption and delivery model, usually involving the provision of dynamically scalable and often virtualized resources over the Internet. Typical cloud computing providers often provide general-purpose network business applications, which can be accessed through software such as browsers or other Web services, while software and data are stored on servers. [0003] In recent years, cloud computing has increasingly become the preferred technology for building large-scale Internet applications d...

AI Technical Summary

Problems solved by technology

[0008] 3. Hash method, that is, the system sends access requests to each node according to certain rules through an irreversible HASH function. The advantage of this method is that it can adapt to different actual application environments of hardware through pre-set rules. The disadvantage is that rules Rigid, it is difficult to cope with the fluctuating user request load

[0009] There is a problem in the above methods, that is, the scheduling rules depend on the balance of the algorithm itself, and it is difficult to adapt to the widely different server hardware performance and dynamically changing load environment in practical applications.

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