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Function-as-a-Service Benchmarking Framework

Research output: Contribution to conference - Without ISBN/ISSN Conference paper

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Standard

Function-as-a-Service Benchmarking Framework. / Pellegrini, Roland; Ivkic, Igor; Tauber, Markus.

2019. Paper presented at 9th International Conference on Cloud Computing and Services Science, CLOSER 2019, Heraklion, Greece.

Research output: Contribution to conference - Without ISBN/ISSN Conference paper

Harvard

Pellegrini, R, Ivkic, I & Tauber, M 2019, 'Function-as-a-Service Benchmarking Framework', Paper presented at 9th International Conference on Cloud Computing and Services Science, CLOSER 2019, Heraklion, Greece, 2/05/19 - 4/05/19.

APA

Pellegrini, R., Ivkic, I., & Tauber, M. (2019). Function-as-a-Service Benchmarking Framework. Paper presented at 9th International Conference on Cloud Computing and Services Science, CLOSER 2019, Heraklion, Greece.

Vancouver

Pellegrini R, Ivkic I, Tauber M. Function-as-a-Service Benchmarking Framework. 2019. Paper presented at 9th International Conference on Cloud Computing and Services Science, CLOSER 2019, Heraklion, Greece.

Author

Pellegrini, Roland ; Ivkic, Igor ; Tauber, Markus. / Function-as-a-Service Benchmarking Framework. Paper presented at 9th International Conference on Cloud Computing and Services Science, CLOSER 2019, Heraklion, Greece.

Bibtex

@conference{7d91f2e2616c4d519983c28c71c72f6a,
title = "Function-as-a-Service Benchmarking Framework",
abstract = "Cloud Service Providers deliver their products in form of ”as-a-Service”, which are typically categorized by the level of abstraction. This approach hides the implementation details and shows only functionality to the user. However, the problem is that it is hard to measure the performance of Cloud services, because they behave like black boxes. Especially with Function-as-a-Service it is even more difficult because it completely hides server and infrastructure management from users by design. Cloud Service Prodivers usually restrict the maximum size of code, memory and runtime of Cloud Functions. Nevertheless, users need clarification if more ressources are needed to deliver services in high quality. In this regard, we present the architectural design of a new Function-as-a-Service benchmarking tool, which allows users to evaluate the performance of Cloud Functions. Furthermore, the capabilities of the framework are tested on an isolated platform with a specific workload. The results show that users are able to get insights into Function-as-a-Service environments. This, in turn, allows users to identify factors which may slow down or speed up the performance of Cloud Functions.",
keywords = "Cloud Computing, Function-as-a-Service, Benchmarking",
author = "Roland Pellegrini and Igor Ivkic and Markus Tauber",
year = "2019",
month = may
day = "3",
language = "English",
note = "9th International Conference on Cloud Computing and Services Science, CLOSER 2019, CLOSER 2019 ; Conference date: 02-05-2019 Through 04-05-2019",
url = "http://closer.scitevents.org/?y=2019 ",

}

RIS

TY - CONF

T1 - Function-as-a-Service Benchmarking Framework

AU - Pellegrini, Roland

AU - Ivkic, Igor

AU - Tauber, Markus

PY - 2019/5/3

Y1 - 2019/5/3

N2 - Cloud Service Providers deliver their products in form of ”as-a-Service”, which are typically categorized by the level of abstraction. This approach hides the implementation details and shows only functionality to the user. However, the problem is that it is hard to measure the performance of Cloud services, because they behave like black boxes. Especially with Function-as-a-Service it is even more difficult because it completely hides server and infrastructure management from users by design. Cloud Service Prodivers usually restrict the maximum size of code, memory and runtime of Cloud Functions. Nevertheless, users need clarification if more ressources are needed to deliver services in high quality. In this regard, we present the architectural design of a new Function-as-a-Service benchmarking tool, which allows users to evaluate the performance of Cloud Functions. Furthermore, the capabilities of the framework are tested on an isolated platform with a specific workload. The results show that users are able to get insights into Function-as-a-Service environments. This, in turn, allows users to identify factors which may slow down or speed up the performance of Cloud Functions.

AB - Cloud Service Providers deliver their products in form of ”as-a-Service”, which are typically categorized by the level of abstraction. This approach hides the implementation details and shows only functionality to the user. However, the problem is that it is hard to measure the performance of Cloud services, because they behave like black boxes. Especially with Function-as-a-Service it is even more difficult because it completely hides server and infrastructure management from users by design. Cloud Service Prodivers usually restrict the maximum size of code, memory and runtime of Cloud Functions. Nevertheless, users need clarification if more ressources are needed to deliver services in high quality. In this regard, we present the architectural design of a new Function-as-a-Service benchmarking tool, which allows users to evaluate the performance of Cloud Functions. Furthermore, the capabilities of the framework are tested on an isolated platform with a specific workload. The results show that users are able to get insights into Function-as-a-Service environments. This, in turn, allows users to identify factors which may slow down or speed up the performance of Cloud Functions.

KW - Cloud Computing

KW - Function-as-a-Service

KW - Benchmarking

M3 - Conference paper

T2 - 9th International Conference on Cloud Computing and Services Science, CLOSER 2019

Y2 - 2 May 2019 through 4 May 2019

ER -