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MAA: multi-objective artificial algae algorithm for workflow scheduling in heterogeneous fog-cloud environment by Prashant Shukla; Sudhakar Pandey is a Computer Science article available to read on EtoBox.

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With the development of current computing technology, workflow applications have become more important in a variety of fields, including research, education, health care, and scientific experimentation. A group of tasks with complicated dependency relationships constitute the workflow applications. It can be difficult to create an acceptable execution sequence while maintaining precedence constraints. Workflow scheduling algorithms (WSA) are gaining more attention from researchers as a real-time concern. Even though a variety of research perspectives have been demonstrated for WSAs, it remains challenging to develop a single coherent algorithm that simultaneously meets a variety of criteria. There is very less research available on WSA in the heterogeneous computing system. Classical scheduling techniques, evolutionary optimisation algorithms, and other methodologies are the available solution to this problem. The workflow scheduling problem is regarded as NP-complete. This problem is constrained by various factors, such as Quality of Service, interdependence between tasks, and user deadlines. In this paper, an efficient meta-heuristic approach named Multi-objective Artificial Alga

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Author

Prashant Shukla; Sudhakar Pandey

Publisher

Springer Science and Business Media LLC

Published

2012

Language

EN

Field

Computer Science (Physical Sciences)