Abstract
Job scheduling, as well as Resource Allocation in the genre of fog computing, are some of the major issues that are required to be efficiently executed. Efficient resource allocation signifies proper scheduling of the user jobs as per resource requirements that lead to fast completion of tasks, which in turn saves energy and time. Resource allocation is a procedure by which the available proficient resources are allocated to the user devices. In this specific paper, we have designed a P2P reliant Fog Computing scenario along with SOA embedded in it and proposed an energy efficient decision-based resource allocation algorithm where resources are allocated in such a way that we get efficient performance from the network. We have also compared our proposed resource allocation algorithm with other standard and recently used algorithms. The outcome of the simulation depicts that our proposed resource algorithm is more efficient in the matter of overall time and energy when collated with the other existing algorithms.
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Basu, A., Mistry, S., Maity, S., Dutta, S. (2020). A Novel Energy Aware Resource Allocation Algorithm into a P2P Based Fog Computing Environment. In: Badica, C., Liatsis, P., Kharb, L., Chahal, D. (eds) Information, Communication and Computing Technology. ICICCT 2020. Communications in Computer and Information Science, vol 1170. Springer, Singapore. https://doi.org/10.1007/978-981-15-9671-1_7
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DOI: https://doi.org/10.1007/978-981-15-9671-1_7
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