Proposed multifactor strategies optimize execution and scheduling of knowledge-intensive applications on cloud platforms, suggesting improved management.
In this work, we propose and investigate multifactor strategies for managing the execution and scheduling of knowledge-intensive applications such as CyberShake, Epigenomics, SIPHT, Montage, LIGO, on cloud platforms “Workflow as a Service” (WaaS). A comprehensive solution to the problem of running applications in the WaaS model is considered using various criteria and optimization scenarios based on a cyclic scheme. The proposed scheme allows supporting a set of technologies and management tools for the execution of interdisciplinary knowledge-intensive applications on WaaS platforms.
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Топорков et al. (2026) studied this question.
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