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Exploiting serverle...
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Aytekin, Arda,1986-KTH,Reglerteknik
(författare)
Exploiting serverless runtimes for large-scale optimization
- Artikel/kapitelEngelska2019
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IEEE Computer Society,2019
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LIBRIS-ID:oai:DiVA.org:kth-262586
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https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-262586URI
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https://doi.org/10.1109/CLOUD.2019.00090DOI
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Språk:engelska
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Sammanfattning på:engelska
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Ämneskategori:kon swepub-publicationtype
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QC 20191022
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Serverless runtimes provide efficient and cost-effective environments for scalable computations, thanks to their event-driven and elastic nature. So far, they have mostly been used for stateless, data parallel and sporadic computations. In this work, we propose exploiting serverless runtimes to solve generic, large-scale optimization problems. To this end, we implement a parallel optimization algorithm for solving a regularized logistic regression problem, and use AWS Lambda for the compute-intensive work. We show that relative speedups up to 256 workers and efficiencies above 70% up to 64 workers can be expected.
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Johansson, MikaelKTH,Reglerteknik(Swepub:kth)u13pw0wb
(författare)
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KTHReglerteknik
(creator_code:org_t)
Sammanhörande titlar
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Ingår i:2019 IEEE 12th International Conference on Cloud Computing (CLOUD): IEEE Computer Society, s. 499-501
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