Method for dynamically adjusting data service clusters on basis of data service access condition

Abstract

The invention provides a method for dynamically adjusting data service clusters on basis of a data service access condition. The method comprises the following steps: 1, monitoring the data service access condition in real time, and respectively recording the access data of each service; 2, self-defining a single adjusting strategy or combined adjusting strategy of access data thresholds according to the access data; and 3, when the access data of a certain service satisfies the adjusting strategy set in the step 2, carrying out dynamic data service cluster adjustment so as to automatically adjust and deploy the service to a corresponding service cluster. According to the method provided by the invention, the cold, warm and hot data can be well distinguished, and services are provided according to the demands of the users, so that the manual intervention of the data service cluster adjustment is avoided; and strategies are matched according to the service using condition to carry out adjustment in real time, so that the data service cluster resource utilization rate is improved. Moreover, the method is capable of solving the problems that the services are unusable and the service restoration period is long under the large concurrent access condition of the data services, and improving the usability and stability of the services.

Description

technical field [0001] The invention relates to the field of information technology, in particular to a method for dynamically adjusting data service clusters based on data service access conditions. Background technique [0002] With the continuous development of today's software technology, especially the emergence of Web services is gradually accepted by people, the concept of SOA (service-oriented architecture) is applied to more and more system development. SOA is a component model that links different functional units (called services) of multiple application systems through well-defined interfaces and contracts between these services. Due to the application of SOA, the interaction within the current system is gradually carried out in the form of data services. In this environment, the demand for data services is growing rapidly, which puts forward higher requirements for the availability and reliability of data services. Existing data services generally build a fixe...

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Problems solved by technology

In this way, there are two problems: first, the data service cluster is built according to the maximum magnitude of service access, and it is impossible to maintain the maximum magnitude of data services in the real environment for a long time, which will result in Most of the time, the utilization rate of cluster resources is low; second, the maximum magnitude of data service access is estimated, and actual use does not mean that this boundary will not be broken. When the boundary breaks and the cluster cannot provide reliable and available services , it is a common method to manually expand the cluster according to the alarm, but there are obvious situations such as unpredictability of manual intervention and slow response to changes, which cannot effectively guarantee high availability and high reliability of data services

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