Container-as-a-Service at the Edge: Tradeoff between Energy-Efficiency and Service Availability at Fog Nano Data Centers
Task scheduling will play a pivotal role in this integrated architecture of IoT and edge computing. This work presents task selection and scheduling at the network edge using container-as-a-service. Here, cooperative game theory has been employed to reduce the overall energy consumption and job makespan. The games are modeled among brokers and containers to attain the desired objectives.