Abstract
Edge computing is a technology that allows processing of applications close to the proximity of the IoT devices. The benefit of edge computing is it reduces latency, improves speed, provides security and privacy since the edge device is placed near the IoT device. But the edge resources are resource constraint having less storage and computation capacity when compared with cloud resources. So early decision must be taken to decide which jobs must be processed at edge. We propose a light weight delay, resource and application aware generic scheduling model to reduce the latency of delay sensitive and mission critical applications. The proposed system classifies the applications into different priority classes based on mission criticality and delay sensitiveness of applications thereby servicing high priority applications at the edge and in parallel we focus on the resource availability before processing IoT applications at the edge.
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Boomiga, S.S., Prasanna Venkatesan, V. (2020). A Generic Model for Scheduling IoT Jobs at the Edge. In: Pandian, A.P., Senjyu, T., Islam, S.M.S., Wang, H. (eds) Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2018). ICCBI 2018. Lecture Notes on Data Engineering and Communications Technologies, vol 31. Springer, Cham. https://doi.org/10.1007/978-3-030-24643-3_44
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DOI: https://doi.org/10.1007/978-3-030-24643-3_44
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