Mobility-Aware Application Scheduling in Fog Computing

By Luiz Fernando Bittencourt, J. Montes, Rajkumar Buyya, Omer Farooq Rana, M. Parashar. IEEE Cloud Computing, 2017

378 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Information Systems

View Paper: https://www.semanticscholar.org/paper/bde14f02253ea81a2cf974d3df85d4497275eb6a

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Citations in the corpus

On Reducing IoT Service Delay via Fog Offloading (2018, background): “ Hawaii [1]. is to serve the requests that demand real-time and low-latency services at the fog, and to send the requests that demand permanent storage or require extensive analysis to the cloud [5], [6]. Due to the countless beneﬁts of fog, the research in this area has been gaining attention, and ”
An Overview of Service Placement Problem in Fog and Edge Computing (2020, background): “The DAG application topology is the most often used because it models a large range of realistic IoT applications like Video processing [14, 22, 127], gaming [165], or healthcare [59] applications.”
Internet of Things (IoT) for Smart Precision Agriculture and Farming in Rural Areas (2018, methodology): “A prediction by International Data Corporation found that the amount of data analyzed on devices that are physically close to the IoT is approaching 40% [32].”
Resource Management Approaches in Fog Computing: a Comprehensive Review (2019, background): “Bittencourt et al. [63] have designed a scheduling framework that it classifies the applications and the mobility of the clients as two main features providing efficient resource management associating with scheduling.”
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments (2016, methodology): “Recently, researchers from the University of Cardiff and Rutgers University have used iFogSim in modeling of electroencephalography (EEG) tractor beam game and its deployment in fog computing environment at large scale.(7) They demonstrated the ability of iFogSim in supporting evaluation of advance ”
All One Needs to Know about Fog Computing and Related Edge Computing Paradigms: A Complete Survey (2018, background): “Most of the existing literature assumes that the fog nodes are fixed, or only considers the mobility of IoT devices (e.g., [146, 291]).”