A high-availability big data stream processing request placement method in a serverless edge network

By using the Heu and Adj algorithms in serverless edge networks, combined with a primary-backup failover mechanism and machine learning, and dynamically adjusting request instances, the latency and reliability issues of high availability and elastic data stream processing in serverless edge networks are solved, achieving lower average latency and higher system availability.

CN117858167BActive Publication Date: 2026-07-03DALIAN UNIV OF TECH
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
DALIAN UNIV OF TECH
Filing Date
2024-01-15
Publication Date
2026-07-03

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Abstract

The application belongs to the technical field of network services, and discloses a high-availability big data stream processing request placement method in a serverless edge network. The purpose is to meet the reliability requirements of users while minimizing processing delay. An effective algorithm is designed to find a suitable number of instances for the function of each data stream processing request, and to place the request while minimizing the average delay experienced by each user while meeting its reliability requirements. After the request is placed, the input data rate may change and is uncertain. An online learning algorithm is designed to predict the method to predict the data rate and dynamically adjust the standby instances to absorb the uncertain data rate. Based on the experiment of a real data set, it is shown that the placement problem of big data stream processing in the edge serverless network is effectively solved.
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