Cost-Aware Stage-Based Experimentation: Challenges and Emerging Results

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F18%3A10385335" target="_blank" >RIV/00216208:11320/18:10385335 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/8432182/" target="_blank" >https://ieeexplore.ieee.org/document/8432182/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/ICSA-C.2018.00027" target="_blank" >10.1109/ICSA-C.2018.00027</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Cost-Aware Stage-Based Experimentation: Challenges and Emerging Results

Popis výsledku v původním jazyce

Experimentation at post-deployment phases (in production environments) can be a powerful tool for both learning how a deployed system operates and how it is being used. Though this knowledge is invaluable for optimization of the system, collecting it may require long time and experiments may even worsen the system with negative effects on users and business. This calls for methods for performing experimentation in production environments that balance the profit of experimentation with its cost. In this paper, we describe related challenges and our emerging results towards cost-aware stage-based experimentation. In particular, we aim for performing experiments that optimize towards their profit while making sure that the overall experimentation cost (e.g. total experimentation time) stays within given bounds. First, we illustrate the challenges and needs of such experimentation in two use cases from different domains. Second, we describe the main concepts behind our method in a semi-formal notation. Third, we exemplify the method by applying it in the two use cases and we report interesting first results.

Název v anglickém jazyce

Cost-Aware Stage-Based Experimentation: Challenges and Emerging Results

Popis výsledku anglicky

Experimentation at post-deployment phases (in production environments) can be a powerful tool for both learning how a deployed system operates and how it is being used. Though this knowledge is invaluable for optimization of the system, collecting it may require long time and experiments may even worsen the system with negative effects on users and business. This calls for methods for performing experimentation in production environments that balance the profit of experimentation with its cost. In this paper, we describe related challenges and our emerging results towards cost-aware stage-based experimentation. In particular, we aim for performing experiments that optimize towards their profit while making sure that the overall experimentation cost (e.g. total experimentation time) stays within given bounds. First, we illustrate the challenges and needs of such experimentation in two use cases from different domains. Second, we describe the main concepts behind our method in a semi-formal notation. Third, we exemplify the method by applying it in the two use cases and we report interesting first results.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Projekt

<a href="/cs/project/LTE117003" target="_blank" >LTE117003: ESTABLISH - Senzory životního prostředí pro lepší kvalitu života: Smart Health</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2018

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

2018 IEEE International Conference on Software Architecture Companion (ICSA-C)

ISBN

978-1-5386-6585-5

ISSN

—

e-ISSN

neuvedeno

Počet stran výsledku

4

Strana od-do

72-75

Název nakladatele

IEEE

Místo vydání

Los Alamitos, CA, USA

Místo konání akce

Seattle, WA, USA

Datum konání akce

30. 4. 2018

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—