A scheduling algorithm for social workflow optimization based on hybrid cloud streaming mechanism

DOI

10.2991/978-94-6463-262-0_11How to use a DOI?

Keywords

social workflow; Chaos cloud shunt; Cost accounting; Working substream

Abstract

In order to solve the current workflow scheduling problem, a new optimal scheduling algorithm is proposed in this paper, which has the advantages of high cost, poor time convergence, poor cost accounting quality and so on. Then, a self-evolving workflow structure is constructed to integrate the decentralized workflow into work subprocesses that can be processed independently, and secondary costing is carried out according to the granularity of workflow. Using the numerical characteristics of work subflow, the recursive algorithm is used to calculate the overall cost of each work subflow, which reduces the computational complexity. The simulation results show that the proposed method has higher cost efficiency than the traditional collinear chaotic particle cost calculation and integrated evolutionary scale calculation.

Copyright

© 2024 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Min Chen
PY  - 2023
DA  - 2023/10/09
TI  - A scheduling algorithm for social workflow optimization based on hybrid cloud streaming mechanism
BT  - Proceedings of the 3rd International Conference on Management Science and Software Engineering (ICMSSE 2023)
PB  - Atlantis Press
SP  - 89
EP  - 95
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-262-0_11
DO  - 10.2991/978-94-6463-262-0_11
ID  - Chen2023
ER  -