OffFog: An Approach to Support the Definition of Offloading Policies on Fog Computing

Abstract

IoT devices deployed in Smart Cities usually have significant resource limitations. For this reason, offload tasks or data to other layers such as fog or cloud is regularly adopted to smooth out this issue. Although data offloading is a well-known aspect of fog computing, the specification of offloading policies is still an open issue due to the lack of clear guidelines. Therefore, we propose OffFog—an approach to guide the definition of data offloading policies in the context of fog computing. In order to evaluate OffFog, we extended the well-known simulator iFogSim and conducted an experimental study based on an urban surveillance system. The results demonstrated the benefits of implementing data offloading based on OffFog recommended policies. Furthermore, we identified the best configuration involving design decisions such as data compression, data criticality, and storage thresholds. The best configuration produced at least 76% improvement in network latency and 5% in the average execution time compared to the iFogSim default strategy. We believe these results represent a significant step towards establishing a systematic decision framework for data offloading policies in the context of fog computing.

A novel data offloading scheme for QoS optimization in 5G based internet of medical things

“…We found that less energy consumption had scores of 55% based on the EEEF approach. Figure 3 displays the findings of the research that were compared with those of previously established method [21]- [25].…”

Healthcare Monitoring Through Fog Computing: A Survey

“…The main objective is to offload the workload of cloud computing down to the edge of the network and perform some processing locally also rather than just passing the data to and from the cloud. Moreover, The survey paper also discuss about various healthcare architectures based on Fog computing, covering various features like security of patient data discussed by [10,11,12,13], response time for emergency cases discussed by [14,15,16,17,18], medical cost considered by [19] and [20] focus on management of medical data. The paper also compare Fog and Mist computing and discussed about a collaborative Cloud, Fog, Mist Healthcare architecture, deploying intelligence at various edge of the network for a better healthcare system.…”