Abstract
Fog Computing is created to efficiently store and access data without the limitations challenging Cloud Computing deployments, such as network latency or bandwidth constraints. This is achieved by performing most of the processing on servers located as close as possible to where data is being collected. When mobile devices are equipped with limited resources and small capabilities, it would be convenient to make their associated computing and network resources follow them as much as possible. In this paper, migration process is studied and an algorithmic model is designed, selecting a generic Fat Tree architecture as the underlying topology, which may be useful to get a list of all devices being traversed through each of the redundant paths available.
Highlights
Fog Computing paradigm is characterised by the allocation of computing resources at the edge of the network, bringing the cloud computing assets closer to the end user [1]
When talking about moving Internet of Things (IoT) devices, this outlook is crucial as those devices lack resources of all kinds [5], such as those related before, and the use of a Virtual Machine (VM) to carry the computing assets of each device may help to cope with the issues regarding the resources [6]
The second kind of movement, the one related to VMs associated to moving IoT devices trying to follow them around, brings about the issue of trying to migrate a VM from the server hosting it to another one being located nearer to the actual position of the moving IoT device in order to facilitate the interaction between the device and its computing power, as a consequence of reducing the latency and bandwidth of such communications
Summary
Fog Computing paradigm is characterised by the allocation of computing resources at the edge of the network, bringing the cloud computing assets closer to the end user [1] In this context, special attention may be set on its use in Internet of Things (IoT) deployments and, in IoT moving environments [2]. The second kind of movement, the one related to VMs associated to moving IoT devices trying to follow them around, brings about the issue of trying to migrate a VM from the server hosting it to another one being located nearer to the actual position of the moving IoT device in order to facilitate the interaction between the device and its computing power, as a consequence of reducing the latency and bandwidth of such communications.
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