An SLA-based stateless cloud workflow load balancing scheduling method

Abstract

The invention discloses an SLA-based stateless cloud workflow load balancing scheduling method. According to the requirements of different tenants on the business scene and the flow model, different SLA levels are selected, different SLA levels are adopted; the cloud workflow system provides different request throughput services for the tenants; grading service is carried out on different processrequests; engine load real-time monitoring and process model distribution condition on an engine are realized by combining a shared memory; the overall memory overhead of the engine cluster is reducedwhile the request wave crest of the engine service is reduced; Therefore, the load balancing capability of the cloud workflow under the multi-tenant architecture is improved, so that the flow serviceprovider can provide services for more tenants on the basis of meeting the analysis execution performance requirements of different tenants on request throughput and different flow definitions.

Description

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AI Technical Summary

Benefits of technology

This technology helps companies manage multiple customers' orders efficiently without overloading servers or requiring excessive storage space. It allows them to choose between higher demand times based upon factors like customer demands and server capabilities. By doing this, they can better meet these goals effectively.

Problems solved by technology

This patented technical problem addressed by this patents relates to improving the efficiency and responsiveness of web work flow processing platforms used in cloud computing without sacrificing data availability and server performance. Current methods rely heavily upon static solution techniques like default servers, but they cannot fully take care of requests from multiple users simultaneously. Additionally, current methodologies may result in overloading computational capacity while supporting multitenancy processes.

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