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 | |
| 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, Part of EuroSys 2019 |
|---|---|
| Country | Germany |
| City | Dresden |
| Period | 25/03/19 → 25/03/19 |
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Keywords
- Checkpointing
- Function as a service
- Internet of things
- Light-weight virtualization
- Serverless
Cite this
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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
SP - 60
EP - 65
BT - Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking
PB - Association for Computing Machinery ACM
ER -