Szczegóły publikacji
Opis bibliograficzny
Challenges for scheduling scientific workflows on cloud functions / Joanna Kijak, Piotr Martyna, Maciej PAWLIK, Bartosz BALIŚ, Maciej MALAWSKI // W: WoSC 2018 [Dokument elektroniczny] : third international Workshop on Serverless Computing : 2 July 2018, San Francisco, USA. — Wersja do Windows. — Dane tekstowe. — [San Francisco : s. n.], [2018]. — S. 1–35. — Wymagania systemowe: Adobe Reader. — Bibliogr. s. 35
Autorzy (5)
Dane bibliometryczne
| ID BaDAP | 115549 |
|---|---|
| Data dodania do BaDAP | 2018-08-09 |
| Rok publikacji | 2018 |
| Typ publikacji | materiały konferencyjne (aut.) |
| Otwarty dostęp |  |
Abstract
Serverless computing model, also known as Function-as-a-Service (FaaS) or Cloud Functions, is a new method of running distributed applications by executing functions on the infrastructure of cloud providers. Although it frees the developers from configuring and maintaining servers, there are still decisions to make regarding selection of function based on the performance and cost. The billing model of this approach considers time of execution, measured in 100ms units, as well as size of the memory allocated per function. In the talk we look into the problem of scheduling scientific workflows, which are applications consisting of multiple tasks connected into a dependency graph. We discuss challenges related to workflow scheduling on the example of Serverless Deadline-Budget Workflow Scheduling (SDBWS) algorithm and preliminary experiments with a Montage astronomical workflow on AWS Lambda.
