Checkpointing and migration of IoT edge functions

Pekka Karhula; Jan Janak; Henning Schulzrinne

doi:10.1145/3301418.3313947

Checkpointing and migration of IoT edge functions

Pekka Karhula, Jan Janak, Henning Schulzrinne

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

16 Citations (Scopus)

Abstract

The serverless and functions as a service (FaaS) paradigms are currently trending among cloud providers and are now increasingly being applied to the network edge, and to the Internet of Things (IoT) devices. The benefits include reduced latency for communication, less network traffic and increased privacy for data processing. However, there are challenges as IoT devices have limited resources for running multiple simultaneous containerized functions, and also FaaS does not typically support long-running functions. Our implementation utilizes Docker and CRIU for checkpointing and suspending long-running blocking functions. The results show that checkpointing is slightly slower than regular Docker pause, but it saves memory and allows for more long-running functions to be run on an IoT device. Furthermore, the resulting checkpoint files are small, hence they are suitable for live migration and backing up stateful functions, therefore improving availability and reliability of the system.

Original language	English
Title of host publication	Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking
Publisher	Association for Computing Machinery ACM
Pages	60-65
Number of pages	6
ISBN (Electronic)	978-1-4503-6275-7
DOIs	https://doi.org/10.1145/3301418.3313947
Publication status	Published - Mar 2019
MoE publication type	A4 Article in a conference publication
Event	2nd ACM International Workshop on Edge Systems, Analytics and Networking, EdgeSys 2019: Part of EuroSys 2019 - Dresden, Germany Duration: 25 Mar 2019 → 25 Mar 2019

Conference

Conference	2nd ACM International Workshop on Edge Systems, Analytics and Networking, EdgeSys 2019
Abbreviated title	EdgeSys 2019
Country/Territory	Germany
City	Dresden
Period	25/03/19 → 25/03/19

Keywords

Checkpointing
Function as a service
Internet of things
Light-weight virtualization
Serverless

Access to Document

10.1145/3301418.3313947

Cite this

@inproceedings{6c46a1597dd44864ab02d374f424ed97,

title = "Checkpointing and migration of IoT edge functions",

abstract = "The serverless and functions as a service (FaaS) paradigms are currently trending among cloud providers and are now increasingly being applied to the network edge, and to the Internet of Things (IoT) devices. The benefits include reduced latency for communication, less network traffic and increased privacy for data processing. However, there are challenges as IoT devices have limited resources for running multiple simultaneous containerized functions, and also FaaS does not typically support long-running functions. Our implementation utilizes Docker and CRIU for checkpointing and suspending long-running blocking functions. The results show that checkpointing is slightly slower than regular Docker pause, but it saves memory and allows for more long-running functions to be run on an IoT device. Furthermore, the resulting checkpoint files are small, hence they are suitable for live migration and backing up stateful functions, therefore improving availability and reliability of the system.",

keywords = "Checkpointing, Function as a service, Internet of things, Light-weight virtualization, Serverless",

author = "Pekka Karhula and Jan Janak and Henning Schulzrinne",

year = "2019",

month = mar,

doi = "10.1145/3301418.3313947",

language = "English",

pages = "60--65",

booktitle = "Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking",

publisher = "Association for Computing Machinery ACM",

address = "United States",

note = "2nd ACM International Workshop on Edge Systems, Analytics and Networking, EdgeSys 2019 : Part of EuroSys 2019, EdgeSys 2019 ; Conference date: 25-03-2019 Through 25-03-2019",

}

Karhula, P, Janak, J & Schulzrinne, H 2019, Checkpointing and migration of IoT edge functions. in Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking. Association for Computing Machinery ACM, pp. 60-65, 2nd ACM International Workshop on Edge Systems, Analytics and Networking, EdgeSys 2019, Dresden, Saxony, Germany, 25/03/19. https://doi.org/10.1145/3301418.3313947

Checkpointing and migration of IoT edge functions. / Karhula, Pekka; Janak, Jan; Schulzrinne, Henning.

Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking. Association for Computing Machinery ACM, 2019. p. 60-65.

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceedings › Scientific › peer-review

TY - GEN

T1 - Checkpointing and migration of IoT edge functions

AU - Karhula, Pekka

AU - Janak, Jan

AU - Schulzrinne, Henning

PY - 2019/3

Y1 - 2019/3

N2 - The serverless and functions as a service (FaaS) paradigms are currently trending among cloud providers and are now increasingly being applied to the network edge, and to the Internet of Things (IoT) devices. The benefits include reduced latency for communication, less network traffic and increased privacy for data processing. However, there are challenges as IoT devices have limited resources for running multiple simultaneous containerized functions, and also FaaS does not typically support long-running functions. Our implementation utilizes Docker and CRIU for checkpointing and suspending long-running blocking functions. The results show that checkpointing is slightly slower than regular Docker pause, but it saves memory and allows for more long-running functions to be run on an IoT device. Furthermore, the resulting checkpoint files are small, hence they are suitable for live migration and backing up stateful functions, therefore improving availability and reliability of the system.

AB - The serverless and functions as a service (FaaS) paradigms are currently trending among cloud providers and are now increasingly being applied to the network edge, and to the Internet of Things (IoT) devices. The benefits include reduced latency for communication, less network traffic and increased privacy for data processing. However, there are challenges as IoT devices have limited resources for running multiple simultaneous containerized functions, and also FaaS does not typically support long-running functions. Our implementation utilizes Docker and CRIU for checkpointing and suspending long-running blocking functions. The results show that checkpointing is slightly slower than regular Docker pause, but it saves memory and allows for more long-running functions to be run on an IoT device. Furthermore, the resulting checkpoint files are small, hence they are suitable for live migration and backing up stateful functions, therefore improving availability and reliability of the system.

KW - Checkpointing

KW - Function as a service

KW - Internet of things

KW - Light-weight virtualization

KW - Serverless

UR - http://www.scopus.com/inward/record.url?scp=85063891217&partnerID=8YFLogxK

U2 - 10.1145/3301418.3313947

DO - 10.1145/3301418.3313947

M3 - Conference article in proceedings

AN - SCOPUS:85063891217

SP - 60

EP - 65

BT - Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking

PB - Association for Computing Machinery ACM

T2 - 2nd ACM International Workshop on Edge Systems, Analytics and Networking, EdgeSys 2019

Y2 - 25 March 2019 through 25 March 2019

ER -

Checkpointing and migration of IoT edge functions

Abstract

Conference

Keywords

Access to Document

Other files and links

Fingerprint

Cite this