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Big, medium and little (BML) scheduling in fog environment
(Selçuk Üniversitesi, 2020) Bichi, Bashir Yusuf; Islam, Saif Ui; Kademi, Anas Muazu
Fog computing has got great attntion due to its importance especially in Internet of Things (IoT) environment where computation at the edge of the network is most desired. Due to the geographical proximity of resources, Fog computing exhibits lower latency compared to cloud; however, inefﬁcient resource allocation in Fog environment can result in higher delays and degraded performance. Hence, efﬁcient resource scheduling in Fog computing is crucial to get true beneﬁts of the cloud like services at the proximity of data generation sources. In this paper, a Big-Medium-Little (BML) scheduling technique is proposed to efﬁciently allocate Fog and Cloud resources to the incoming IoT jobs. Moreover, cooperative and non-cooperative Fog computing environments are also explored. Additionally, a thorough comparative study of existing scheduling techniques in Fog-cloud environment is also presented. The technique is rigorously evaluated and shows promising results in terms of makespan, energy consumption, latecny and throughput.