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 |
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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 |
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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