Allocation priority policies for serverless function-execution scheduling optimisation

Giuseppe De Palma; Saverio Giallorenzo; Jacopo Mauro; Gianluigi Zavattaro

doi:10.1007/978-3-030-65310-1_29

Allocation priority policies for serverless function-execution scheduling optimisation

Giuseppe De Palma, Saverio Giallorenzo, Jacopo Mauro^*, Gianluigi Zavattaro

^*Kontaktforfatter

Institut for Matematik og Datalogi

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

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Abstract

Serverless computing is a Cloud development paradigm where developers write and compose stateless functions, abstracting from their deployment and scaling. In this paper, we address the problem of function-execution scheduling, i.e., how to schedule the execution of Serverless functions to optimise their performance against some user-defined goals. We introduce a declarative language of Allocation Priority Policies (APP) to specify policies that inform the scheduling of function execution. We present a prototypical implementation of APP as an extension of Apache OpenWhisk and we validate it by i) implementing a use case combining IoT, Edge, and Cloud Computing and ii) by comparing its performance to an alternative implementation that uses vanilla OpenWhisk.

Originalsprog	Engelsk
Titel	Service-Oriented Computing - 18th International Conference, ICSOC 2020, Proceedings
Redaktører	Eleanna Kafeza, Boualem Benatallah, Fabio Martinelli, Hakim Hacid, Athman Bouguettaya, Hamid Motahari
Forlag	Springer
Publikationsdato	2020
Sider	416-430
ISBN (Trykt)	9783030653095
DOI	https://doi.org/10.1007/978-3-030-65310-1_29
Status	Udgivet - 2020
Begivenhed	18th International Conference on Service-Oriented Computing, ICSOC 2020 - Dubai, Forenede Arabiske Emirater Varighed: 14. dec. 2020 → 17. dec. 2020

Konference

Konference	18th International Conference on Service-Oriented Computing, ICSOC 2020
Land/Område	Forenede Arabiske Emirater
By	Dubai
Periode	14/12/2020 → 17/12/2020

Navn	Lecture Notes in Computer Science
Vol/bind	12571
ISSN	0302-9743

Dokumenter og links

10.1007/978-3-030-65310-1_29

Open Access VersionAccepteret manuskript, 506 KB

Citationsformater

De Palma, G., Giallorenzo, S., Mauro, J., & Zavattaro, G. (2020). Allocation priority policies for serverless function-execution scheduling optimisation. I E. Kafeza, B. Benatallah, F. Martinelli, H. Hacid, A. Bouguettaya, & H. Motahari (red.), Service-Oriented Computing - 18th International Conference, ICSOC 2020, Proceedings (s. 416-430). Springer. https://doi.org/10.1007/978-3-030-65310-1_29

De Palma, Giuseppe ; Giallorenzo, Saverio ; Mauro, Jacopo et al. / Allocation priority policies for serverless function-execution scheduling optimisation. Service-Oriented Computing - 18th International Conference, ICSOC 2020, Proceedings. red. / Eleanna Kafeza ; Boualem Benatallah ; Fabio Martinelli ; Hakim Hacid ; Athman Bouguettaya ; Hamid Motahari. Springer, 2020. s. 416-430 (Lecture Notes in Computer Science, Bind 12571).

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abstract = "Serverless computing is a Cloud development paradigm where developers write and compose stateless functions, abstracting from their deployment and scaling. In this paper, we address the problem of function-execution scheduling, i.e., how to schedule the execution of Serverless functions to optimise their performance against some user-defined goals. We introduce a declarative language of Allocation Priority Policies (APP) to specify policies that inform the scheduling of function execution. We present a prototypical implementation of APP as an extension of Apache OpenWhisk and we validate it by i) implementing a use case combining IoT, Edge, and Cloud Computing and ii) by comparing its performance to an alternative implementation that uses vanilla OpenWhisk.",

keywords = "Function-execution scheduling, Optimisation, Serverless",

author = "{De Palma}, Giuseppe and Saverio Giallorenzo and Jacopo Mauro and Gianluigi Zavattaro",

year = "2020",

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booktitle = "Service-Oriented Computing - 18th International Conference, ICSOC 2020, Proceedings",

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De Palma, G, Giallorenzo, S, Mauro, J & Zavattaro, G 2020, Allocation priority policies for serverless function-execution scheduling optimisation. i E Kafeza, B Benatallah, F Martinelli, H Hacid, A Bouguettaya & H Motahari (red), Service-Oriented Computing - 18th International Conference, ICSOC 2020, Proceedings. Springer, Lecture Notes in Computer Science, bind 12571, s. 416-430, 18th International Conference on Service-Oriented Computing, ICSOC 2020, Dubai, Forenede Arabiske Emirater, 14/12/2020. https://doi.org/10.1007/978-3-030-65310-1_29

Allocation priority policies for serverless function-execution scheduling optimisation. / De Palma, Giuseppe; Giallorenzo, Saverio; Mauro, Jacopo et al.
Service-Oriented Computing - 18th International Conference, ICSOC 2020, Proceedings. red. / Eleanna Kafeza; Boualem Benatallah; Fabio Martinelli; Hakim Hacid; Athman Bouguettaya; Hamid Motahari. Springer, 2020. s. 416-430 (Lecture Notes in Computer Science, Bind 12571).

Publikation: Kapitel i bog/rapport/konference-proceeding › Konferencebidrag i proceedings › Forskning › peer review

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AU - De Palma, Giuseppe

AU - Giallorenzo, Saverio

AU - Mauro, Jacopo

AU - Zavattaro, Gianluigi

PY - 2020

Y1 - 2020

N2 - Serverless computing is a Cloud development paradigm where developers write and compose stateless functions, abstracting from their deployment and scaling. In this paper, we address the problem of function-execution scheduling, i.e., how to schedule the execution of Serverless functions to optimise their performance against some user-defined goals. We introduce a declarative language of Allocation Priority Policies (APP) to specify policies that inform the scheduling of function execution. We present a prototypical implementation of APP as an extension of Apache OpenWhisk and we validate it by i) implementing a use case combining IoT, Edge, and Cloud Computing and ii) by comparing its performance to an alternative implementation that uses vanilla OpenWhisk.

AB - Serverless computing is a Cloud development paradigm where developers write and compose stateless functions, abstracting from their deployment and scaling. In this paper, we address the problem of function-execution scheduling, i.e., how to schedule the execution of Serverless functions to optimise their performance against some user-defined goals. We introduce a declarative language of Allocation Priority Policies (APP) to specify policies that inform the scheduling of function execution. We present a prototypical implementation of APP as an extension of Apache OpenWhisk and we validate it by i) implementing a use case combining IoT, Edge, and Cloud Computing and ii) by comparing its performance to an alternative implementation that uses vanilla OpenWhisk.

KW - Function-execution scheduling

KW - Optimisation

KW - Serverless

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DO - 10.1007/978-3-030-65310-1_29

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A2 - Benatallah, Boualem

A2 - Martinelli, Fabio

A2 - Hacid, Hakim

A2 - Bouguettaya, Athman

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De Palma G, Giallorenzo S, Mauro J, Zavattaro G. Allocation priority policies for serverless function-execution scheduling optimisation. I Kafeza E, Benatallah B, Martinelli F, Hacid H, Bouguettaya A, Motahari H, red., Service-Oriented Computing - 18th International Conference, ICSOC 2020, Proceedings. Springer. 2020. s. 416-430. (Lecture Notes in Computer Science, Bind 12571). doi: 10.1007/978-3-030-65310-1_29

Allocation priority policies for serverless function-execution scheduling optimisation

Abstract

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Dokumenter og links

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Citationsformater