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- W2370464098 abstract "Current Cloud software development efforts to come up with novel Software-as-a-Service (SaaS) applicationsare, just like traditional software development, usually no longer built from scratch. Instead more and moreCloud developers are opting to use multiple existing components and integrate them in their application workflow.Scaling the resulting application up or down, depending on user/tenant load, in order to keep the SLA,no longer becomes an issue of scaling resources for a single service, rather results in a complex problem ofscaling all individual service endpoints in the workflow, depending on their monitored runtime behavior. Inthis paper, we propose and evaluate algorithms through CloudSim for automatic and runtime scaling of suchmulti-tenant SaaS workflows. Our results on time-varying workloads show that the proposed algorithms areeffective and produce the best cost-quality trade-off while keeping Service Level Agreements (SLAs) in line.Empirically, the proactive algorithm with careful parameter tuning always meets the SLAs while only sufferinga marginal increase in average cost per service component of 5-8% over our baseline passive algorithm,which, although provides the least cost, suffers from prolonged violation of service component SLAs." @default.
- W2370464098 created "2016-06-24" @default.
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- W2370464098 date "2016-01-01" @default.
- W2370464098 modified "2023-09-25" @default.
- W2370464098 title "Design and Evaluation of Automatic Workflow Scaling Algorithms for Multi-tenant SaaS" @default.
- W2370464098 doi "https://doi.org/10.5220/0005812002210229" @default.
- W2370464098 hasPublicationYear "2016" @default.
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