Method for improving service quality of large-batch parallel service flows

Abstract

The invention discloses a method for improving service quality of large-batch parallel service flows. The method comprises the following steps of acquiring the historical mean value of various activities in a whole bath of parallel service flow through historical big data, wherein execution of each kind of activities are independent from one another; selecting one kind of activities in the whole batch of parallel service flows, selecting partial activities in the kind of activities, defining a time point after execution of the partial activities as a time sequence detecting point, and performing statistics for obtaining the mean value of the partial activities before the time sequence detecting point; calculating the predicated mean values of the other kinds of activities in the whole batch of parallel service flows and the predicated finishing time of the whole batch of parallel service flows according to an analogical relation; and determining a possible occurred delay amount of theservice flow according to the predicated finishing time, and determining the number of added resources according to the delay amount and preset server efficiency. According to the method of the invention, a small number of detecting points are realized; a certain service quality can be satisfied; and cost in a time sequence abnormity processing process is greatly reduced.

Description

technical field [0001] The invention belongs to the category of parallel business process detection points, and in particular relates to a method for improving the service quality of a large batch of parallel business processes. Background technique [0002] In recent years, e-commerce and e-government have developed rapidly, and government departments and enterprises often have a large number of businesses that need to be processed in a short time. The processing of these business processes has a certain time limit. For example, the business of securities trading needs to be cleared before 22 o'clock in the evening of the same day. If such large-scale parallel business processes cannot be completed within the stipulated time, it will reduce customer satisfaction and even cause economic losses. To complete the business processing of such a large-scale parallel business process, a large amount of money needs to be invested in infrastructure construction, operation and mainte...

AI Technical Summary

Problems solved by technology

[0008] Second, the amount of additional server resources needed to handle the abnormalities that have occurred. If too many server resources are added, it will cause some unnecessary waste of resources and funds. If the increase of server resources is too small, it may cause The business process also cannot be completed on time and cannot meet the user's demand for service quality

But in real life, some situations do not allow delays, such as weather forecast, if the forecast result cannot be calculated within the specified time, then the result will lose the significance of the forecast

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