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Proceedings. Cham: Springer. Lect. Notes Comput. Sci. 13987, 146-161 (2023). </div> <div class="abstract">Summary: Dynamic Multi-workflow Scheduling (DMWS) in cloud computing is a well-known combinatorial optimisation problem. It is a great challenge to tackle this problem by scheduling multiple workflows submitted at different times and meet user-defined quality of service objectives. Scheduling with user-defined budget constraints is becoming increasingly important due to cloud dynamics associated with on-demand provisioning, instance types, and pricing. To address the Budget-Constrained Dynamic Multi-workflow Scheduling (BC-DMWS) problem, a novel Cooperative Coevolution Genetic Programming (CCGP) approach is proposed. Two heuristic rules, namely VM Selection/Creation Rule (VMR) and Budget Alert Rule (BAR), are learned automatically by CCGP. VMR is used to allocate ready tasks to either existing or newly rented VM instances, while BAR makes decisions to downgrade VM instances so as to meet the budget constraint. Experiments show significant performance and success rate improvement compared to state-of-the-art algorithms.<br class="zbmathjax-paragraph">For the entire collection see [<a href="/1528.90005">Zbl&nbsp;1528.90005</a>].</div> <div class="clear"></div> <br> <div class="citations"><div class="clear"><a href="/?q=rf%3A7787619">Cited in <strong>1</strong> Document</a></div></div> <div class="classification"> <h3>MSC:</h3> <table><tr> <td> <a class="mono" href="/classification/?q=cc%3A68W50" title="MSC2020">68W50</a> </td> <td class="space"> Evolutionary algorithms, genetic algorithms (computational aspects) </td> </tr><tr> <td> <a class="mono" href="/classification/?q=cc%3A90C27" title="MSC2020">90C27</a> </td> <td class="space"> Combinatorial optimization </td> </tr><tr> <td> <a class="mono" href="/classification/?q=cc%3A90C59" title="MSC2020">90C59</a> </td> <td class="space"> Approximation methods and heuristics in mathematical programming </td> </tr></table> </div><div class="keywords"> <h3>Keywords:</h3><a href="/?q=ut%3Acloud+computing">cloud computing</a>; <a href="/?q=ut%3Adynamic+workflow+scheduling">dynamic workflow scheduling</a>; <a href="/?q=ut%3Agenetic+programming">genetic programming</a>; <a href="/?q=ut%3Ahyper+heuristic">hyper heuristic</a>; <a href="/?q=ut%3Acooperative+coevolution">cooperative coevolution</a>; <a href="/?q=ut%3Abudget+constraint">budget constraint</a></div> <div class="software"> <h3>Software:</h3><a href="/software/22891">WorkflowSim</a></div> <!-- Modal used to show zbmath metadata in different output formats--> <div class="modal fade" id="metadataModal" tabindex="-1" role="dialog" aria-labelledby="myModalLabel"> <div class="modal-dialog" role="document"> <div class="modal-content"> <div class="modal-header"> <button type="button" class="close" data-dismiss="modal" aria-label="Close"><span aria-hidden="true">&times;</span></button> <h4 class="modal-title" id="myModalLabel">Cite</h4> </div> <div class="modal-body"> <div class="form-group"> <label for="select-output" class="control-label">Format</label> <select id="select-output" class="form-control" aria-label="Select Metadata format"></select> </div> <div class="form-group"> <label for="metadataText" class="control-label">Result</label> <textarea class="form-control" id="metadataText" rows="10" style="min-width: 100%;max-width: 100%"></textarea> </div> <div id="metadata-alert" class="alert alert-danger" role="alert" style="display: none;"> <!-- alert for connection errors etc --> </div> </div> <div class="modal-footer"> <button type="button" class="btn btn-primary" onclick="copyMetadata()">Copy to clipboard</button> <button type="button" class="btn btn-default" data-dismiss="modal">Close</button> </div> </div> </div> </div> <div class="functions clearfix"> <div class="function"> <!-- Button trigger metadata modal --> <a type="button" class="btn btn-default btn-xs pdf" data-toggle="modal" data-target="#metadataModal" data-itemtype="Zbl" data-itemname="Zbl 07787619" data-ciurl="/ci/07787619" data-biburl="/bibtex/07787619.bib" data-amsurl="/amsrefs/07787619.bib" data-xmlurl="/xml/07787619.xml" > Cite </a> <a class="btn btn-default btn-xs pdf" data-container="body" type="button" href="/pdf/07787619.pdf" title="Zbl 07787619 as PDF">Review PDF</a> </div> <div class="fulltexts"> <span class="fulltext">Full Text:</span> <a class="btn btn-default btn-xs" type="button" href="https://doi.org/10.1007/978-3-031-30035-6_10" aria-label="DOI for “Cooperative coevolutionary genetic programming hyper-heuristic for budget constrained dynamic multi-workflow scheduling in cloud computing”" title="10.1007/978-3-031-30035-6_10">DOI</a> </div> <div class="sfx" style="float: right;"> </div> </div> <div class="references"> <h3>References:</h3> <table><tr> <td>[1]</td> <td class="space">Arabnejad, V.; Bubendorfer, K.; Ng, B., Dynamic multi-workflow scheduling: a deadline and cost-aware approach for commercial clouds, Future Gener. 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