Efficient Scheduling in a Smart Building

Smart buildings present challenging opportunities and issues regarding the intelligence we push in the framework that manage the building. Among them the scheduling and allocation of tasks/jobs. Based on the expertises of Qarnot Computing and LIPN Laboratory, we address three relevant matters of concern for smart buildings. First of all, we explain the economic model that the Qarnot middleware implements for managing, in a distributed way, smart buildings. The key idea is to consider the building as a data-center, managed by a cloud middleware. Then we introduce the key properties we consider as important in the context of the construction of a middleware for buildings. At last, this paper presents an efficient scheduling and allocation system according to an innovative economic model. The idea is to presents a new container scheduling system based on SLA (Service Level Agreements) classes and which is used in smart building with cloud computing environment. The novelty of our system is based on the possibility to adapt, dynamically, the scheduling and the resources allocation of containers according to the different SLA classes and the activities peaks of the nodes in the cloud i.e. the building. Experimental results show that our system gives expected results for our scenario and provides with good performance regarding the balance between objectives.