Intelligent Checkpointing Strategies for IoT System Management

Abstract

The Internet of Things (IoT) continues to expand in terms of the number of connected devices. To handle the data produced by those devices, gateways are deployed to collect data, possibly to analyze it, and finally to send it to the cloud or to the end-user to support new services. This process involves complex software that is deployed on those gateways. Moreover, the dynamicity due to new services, mobility, etc., could be corrupted by new events that then require the deployment of software components on additional equipment. Those new events arise in at least two fundamental ways: devices that may change their geographical location; and limitations due to hardware resources and energy consumption. We propose to use autonomic monitoring and control in response to a changing environment in order to manage deployed software with little or no human intervention. A new generic approach is described, based on a semantic model of the system being monitored. Much of the power of the proposed approach is accomplished through a novel use of checkpointing in order to control the software deployed on the gateway