A Decentralized Multiagent-Based Task Scheduling Framework for Handling Uncertain Events in Fog Computing
AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems(2024)
摘要
Fog computing has become an attractive research topic in recent years. As an
extension of the cloud, fog computing provides computing resources for Internet
of Things (IoT) applications through communicative fog nodes located at the
network edge. Fog nodes assist cloud services in handling real-time and mobile
applications by bringing the processing capability to where the data is
generated. However, the introduction of fog nodes can increase scheduling
openness and uncertainty. The scheduling issues in fog computing need to
consider the geography, load balancing, and network latency between IoT
devices, fog nodes, as well as the parent cloud. Besides, the scheduling
methods also need to deal with the occurrence of uncertain events in real-time
so as to ensure service reliability. This paper proposes an agent-based
framework with a decentralized structure to construct the architecture of fog
computing, while three agent-based algorithms are proposed to implement the
scheduling, load balance, and rescheduling processes. The proposed framework is
implemented by JADE and evaluated on the iFogSim toolkit. Experimental results
show that the proposed scheduling framework can adaptively schedule tasks and
resources for different service requests in fog computing and can also improve
the task success rate when uncertain events occur.
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