Checkpointing and Migration of IoT Edge Functions

Pekka Karhula, J. Janak, H. Schulzrinne
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引用次数: 32

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.
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物联网边缘功能的检查点和迁移
无服务器和功能即服务(FaaS)范式目前是云提供商的趋势,现在越来越多地应用于网络边缘和物联网(IoT)设备。其好处包括减少通信延迟、减少网络流量和提高数据处理的隐私性。然而,由于物联网设备用于同时运行多个容器化功能的资源有限,并且FaaS通常不支持长时间运行的功能,因此存在一些挑战。我们的实现利用Docker和CRIU来检查点和挂起长时间运行的阻塞函数。结果表明,检查点比常规的Docker暂停稍微慢一些,但它节省了内存,并允许在IoT设备上运行更多长时间运行的功能。此外,生成的检查点文件很小,因此它们适合实时迁移和备份有状态功能,从而提高系统的可用性和可靠性。
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