2017 IEEE 1st International Conference on Fog and Edge Computing (ICFEC) 2017
DOI: 10.1109/icfec.2017.15
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iFogStor: An IoT Data Placement Strategy for Fog Infrastructure

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Cited by 101 publications
(76 citation statements)
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“…This scenario considers monolithic applications (e.g. data) [6,10]. In [10], the authors investigate the problem of IoT data placement in a Fog infrastructure.…”
Section: Related Work and Motivationmentioning
confidence: 99%
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“…This scenario considers monolithic applications (e.g. data) [6,10]. In [10], the authors investigate the problem of IoT data placement in a Fog infrastructure.…”
Section: Related Work and Motivationmentioning
confidence: 99%
“…data) [6,10]. In [10], the authors investigate the problem of IoT data placement in a Fog infrastructure. They propose to formulate the problem as a generalized assignment problem by considering the resource capabilities constraints and minimize the overall latency while storing and retrieving the data set.…”
Section: Related Work and Motivationmentioning
confidence: 99%
See 1 more Smart Citation
“…For the special environment of edge computing, the problem of the optimized service placement has been studied using different methods.Complex networks, [6] Greedy algorithm, [7] Integer linear programming, [12] Matching Game, [13] Mixed Integer Linear Programming [14] and Genetic algorithm [15] are the common solutions in this field. For instance, a service placement policy in Fog computing based on graph partitions is proposed, [6] aiming to improve the service availability and QoS.…”
Section: Related Workmentioning
confidence: 99%
“…IFogStor [25] introduces a data placement strategy focused on fog infrastructure. Similar to how our research attempts to quickly retrieve Docker layers in the right location, iFogStor attempts to reduce the data retrieval and service latency in a Fog infrastructure.…”
Section: Multi-stage Selectionmentioning
confidence: 99%