A QoS-aware resource allocation controller for function as a service (FaaS) platform

Mohammad Reza Hoseiny Farahabady; Young Choon Lee; Albert Y. Zomaya; Zahir Tari

doi:10.1007/978-3-319-69035-3_17

A QoS-aware resource allocation controller for function as a service (FaaS) platform

Mohammad Reza Hoseiny Farahabady^*, Young Choon Lee, Albert Y. Zomaya, Zahir Tari

^*Corresponding author for this work

School of Computing

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

20 Citations (Scopus)

Abstract

Function as a Service (FaaS) is a recent event-driven serverless paradigm that allows enterprises to build their applications in a fault tolerant distributed manner. Having been considered as an attractive replacement of traditional Service Oriented Architecture (SOA), the FaaS platform leverages the management of massive data sets or the handling of event streams. However, the realization of such leverage is largely dependent on the effective exploitation of FaaS elasticity/scalability. In this paper, we present a closed-loop resource allocation controller to dynamically scale resources by predicting the future rate of incoming events and by considering the Quality of Service (QoS) enforcements requested by end-users. The performance evaluation is carried out by comparing the proposed controller with some well-known heuristics such as round robin and best-effort strategies. Experimental results confirm that the proposed controller increases the overall resource utilization by 21% on average, while reducing QoS violations by a factor of almost 3.

Original language	English
Title of host publication	Service-Oriented Computing
Subtitle of host publication	15th International Conference, ICSOC 2017, Proceedings
Editors	Michael Maximilien, Antonio Vallecillo, Jianmin Wang, Marc Oriol
Place of Publication	Cham
Publisher	Springer, Springer Nature
Pages	241-255
Number of pages	15
ISBN (Print)	9783319690346
DOIs	https://doi.org/10.1007/978-3-319-69035-3_17
Publication status	Published - 1 Jan 2017
Event	15th International Conference on Service-Oriented Computing, ICSOC 2017 - Malaga, Spain Duration: 13 Nov 2017 → 16 Nov 2017

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10601 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	15th International Conference on Service-Oriented Computing, ICSOC 2017
Country/Territory	Spain
City	Malaga
Period	13/11/17 → 16/11/17

Keywords

Dynamic resource allocation
Function as a service (FaaS)
Microservices
Serverless lambda platform

Access to Document

10.1007/978-3-319-69035-3_17

Cite this

Hoseiny Farahabady, M. R., Lee, Y. C., Zomaya, A. Y., & Tari, Z. (2017). A QoS-aware resource allocation controller for function as a service (FaaS) platform. In M. Maximilien, A. Vallecillo, J. Wang, & M. Oriol (Eds.), Service-Oriented Computing: 15th International Conference, ICSOC 2017, Proceedings (pp. 241-255). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10601 LNCS). Springer, Springer Nature. https://doi.org/10.1007/978-3-319-69035-3_17

Hoseiny Farahabady, Mohammad Reza ; Lee, Young Choon ; Zomaya, Albert Y. et al. / A QoS-aware resource allocation controller for function as a service (FaaS) platform. Service-Oriented Computing: 15th International Conference, ICSOC 2017, Proceedings. editor / Michael Maximilien ; Antonio Vallecillo ; Jianmin Wang ; Marc Oriol. Cham : Springer, Springer Nature, 2017. pp. 241-255 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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Hoseiny Farahabady, MR, Lee, YC, Zomaya, AY & Tari, Z 2017, A QoS-aware resource allocation controller for function as a service (FaaS) platform. in M Maximilien, A Vallecillo, J Wang & M Oriol (eds), Service-Oriented Computing: 15th International Conference, ICSOC 2017, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10601 LNCS, Springer, Springer Nature, Cham, pp. 241-255, 15th International Conference on Service-Oriented Computing, ICSOC 2017, Malaga, Spain, 13/11/17. https://doi.org/10.1007/978-3-319-69035-3_17

A QoS-aware resource allocation controller for function as a service (FaaS) platform. / Hoseiny Farahabady, Mohammad Reza; Lee, Young Choon; Zomaya, Albert Y. et al.
Service-Oriented Computing: 15th International Conference, ICSOC 2017, Proceedings. ed. / Michael Maximilien; Antonio Vallecillo; Jianmin Wang; Marc Oriol. Cham: Springer, Springer Nature, 2017. p. 241-255 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10601 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

TY - GEN

T1 - A QoS-aware resource allocation controller for function as a service (FaaS) platform

AU - Hoseiny Farahabady, Mohammad Reza

AU - Lee, Young Choon

AU - Zomaya, Albert Y.

AU - Tari, Zahir

PY - 2017/1/1

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N2 - Function as a Service (FaaS) is a recent event-driven serverless paradigm that allows enterprises to build their applications in a fault tolerant distributed manner. Having been considered as an attractive replacement of traditional Service Oriented Architecture (SOA), the FaaS platform leverages the management of massive data sets or the handling of event streams. However, the realization of such leverage is largely dependent on the effective exploitation of FaaS elasticity/scalability. In this paper, we present a closed-loop resource allocation controller to dynamically scale resources by predicting the future rate of incoming events and by considering the Quality of Service (QoS) enforcements requested by end-users. The performance evaluation is carried out by comparing the proposed controller with some well-known heuristics such as round robin and best-effort strategies. Experimental results confirm that the proposed controller increases the overall resource utilization by 21% on average, while reducing QoS violations by a factor of almost 3.

AB - Function as a Service (FaaS) is a recent event-driven serverless paradigm that allows enterprises to build their applications in a fault tolerant distributed manner. Having been considered as an attractive replacement of traditional Service Oriented Architecture (SOA), the FaaS platform leverages the management of massive data sets or the handling of event streams. However, the realization of such leverage is largely dependent on the effective exploitation of FaaS elasticity/scalability. In this paper, we present a closed-loop resource allocation controller to dynamically scale resources by predicting the future rate of incoming events and by considering the Quality of Service (QoS) enforcements requested by end-users. The performance evaluation is carried out by comparing the proposed controller with some well-known heuristics such as round robin and best-effort strategies. Experimental results confirm that the proposed controller increases the overall resource utilization by 21% on average, while reducing QoS violations by a factor of almost 3.

KW - Dynamic resource allocation

KW - Function as a service (FaaS)

KW - Microservices

KW - Serverless lambda platform

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DO - 10.1007/978-3-319-69035-3_17

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AN - SCOPUS:85034097445

SN - 9783319690346

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - Service-Oriented Computing

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A2 - Vallecillo, Antonio

A2 - Wang, Jianmin

A2 - Oriol, Marc

PB - Springer, Springer Nature

CY - Cham

T2 - 15th International Conference on Service-Oriented Computing, ICSOC 2017

Y2 - 13 November 2017 through 16 November 2017

ER -

Hoseiny Farahabady MR, Lee YC, Zomaya AY, Tari Z. A QoS-aware resource allocation controller for function as a service (FaaS) platform. In Maximilien M, Vallecillo A, Wang J, Oriol M, editors, Service-Oriented Computing: 15th International Conference, ICSOC 2017, Proceedings. Cham: Springer, Springer Nature. 2017. p. 241-255. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-69035-3_17

A QoS-aware resource allocation controller for function as a service (FaaS) platform

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Keywords

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