The Community for Technology Leaders
Green Image
Issue No. 02 - Mar.-Apr. (2017 vol. 4)
ISSN: 2325-6095
pp: 26-35
Luiz F. Bittencourt , University of Campinas (UNICAMP), Brazil
Javier Diaz-Montes , Rutgers University
Rajkumar Buyya , University of Melbourne
Omer F. Rana , Cardiff University, UK
Manish Parashar , Rutgers University
ABSTRACT
Fog computing provides a distributed infrastructure at the edges of the network, resulting in low-latency access and faster response to application requests when compared to centralized clouds. With this new level of computing capacity introduced between users and the data center-based clouds, new forms of resource allocation and management can be developed to take advantage of the Fog infrastructure. A wide range of applications with different requirements run on end-user devices, and with the popularity of cloud computing many of them rely on remote processing or storage. As clouds are primarily delivered through centralized data centers, such remote processing/storage usually takes place at a single location that hosts user applications and data. The distributed capacity provided by Fog computing allows execution and storage to be performed at different locations. The combination of distributed capacity, the range and types of user applications, and the mobility of smart devices require resource management and scheduling strategies that takes into account these factors altogether. We analyze the scheduling problem in Fog computing, focusing on how user mobility can influence application performance and how three different scheduling policies, namely concurrent, FCFS, and delay-priority, can be used to improve execution based on application characteristics.
INDEX TERMS
Cloud computing, Edge computing, Resource management, Processor scheduling, Computational modeling, Detectors, Mobile communication
CITATION

L. F. Bittencourt, J. Diaz-Montes, R. Buyya, O. F. Rana and M. Parashar, "Mobility-Aware Application Scheduling in Fog Computing," in IEEE Cloud Computing, vol. 4, no. 2, pp. 26-35, 2017.
doi:10.1109/MCC.2017.27
493 ms
(Ver 3.3 (11022016))