M. S. Elbamby, C. Perfecto, M. Bennis, and K. Doppler, Toward lowlatency and ultra-reliable virtual reality, IEEE Network, vol.32, 2018.

Q. Fan and N. Ansari, Towards workload balancing in fog computing empowered IoT, IEEE Transactions on Network Science and Engineering, 2018.

B. Hindman, A. Konwinski, M. Zaharia, A. Ghodsi, A. D. Joseph et al., Mesos: A platform for fine-grained resource sharing in the data center, Proc. Usenix NSDI Symposium, 2011.

D. Inc, Swarm mode overview

, Cloud Native Computing Foundation

F. Bonomi, R. Milito, P. Natarajan, and J. Zhu, Big Data and Internet of Things: A Roadmap for Smart Environments, ch. Fog Computing: A Platform for Internet of Things and Analytics, 2014.

A. Yousefpour, C. Fung, T. Nguyen, K. Kadiyala, F. Jalali et al., All one needs to know about fog computing and related edge computing paradigms: A complete survey, 2018.

C. Pahl, S. Helmer, L. Miori, J. Sanin, and B. Lee, A container-based edge cloud PaaS architecture based on Raspberry Pi clusters, Proc. Future Internet of Things and Cloud Workshops (FiCloudW), 2016.

F. P. Tso, D. R. White, S. Jouet, J. Singer, and D. P. Pezaros, The Glasgow Raspberry Pi cloud: A scale model for cloud computing infrastructures, Proc. ICDCS Workshops, 2013.

A. Van-kempen, T. Crivat, B. Trubert, D. Roy, and G. Pierre, MECConPaaS: An experimental single-board based mobile edge cloud, Proc. IEEE Mobile Cloud Conference, 2017.
URL : https://hal.archives-ouvertes.fr/hal-01446483

S. Yi, Z. Hao, Q. Zhang, Q. Zhang, W. Shi et al., Lavea: Latencyaware video analytics on edge computing platform, Proc. ACM/IEEE Symposium on Edge Computing, 2017.

R. Deng, R. Lu, C. Lai, T. H. Luan, and H. Liang, Optimal workload allocation in fog-cloud computing toward balanced delay and power consumption, IEEE Internet of Things Journal, vol.3, 2016.

D. Puthal, M. S. Obaidat, P. Nanda, M. Prasad, S. P. Mohanty et al., Secure and sustainable load balancing of edge data centers in fog computing, IEEE Communications Magazine, vol.6, 2018.

R. Beraldi, A. Mtibaa, and H. Alnuweiri, Cooperative load balancing scheme for edge computing resources, Proc. Conference on Fog and Mobile Edge Computing (FMEC), 2017.

A. Kapsalis, P. Kasnesis, I. S. Venieris, D. I. Kaklamani, and C. Z. Patrikakis, A cooperative fog approach for effective workload balancing, IEEE Cloud Computing, vol.4, 2017.

A. Lertsinsrubtavee, A. Ali, C. Molina-jimenez, A. Sathiaseelan, and J. Crowcroft, PiCasso: A lightweight edge computing platform, Proc. IEEE Conference on Cloud Networking (CloudNet, 2017.

K. Ha and M. Satyanarayanan, OpenStack++ for cloudlet deployment, 2015.

C. Wöbker, A. Seitz, H. Mueller, and B. Bruegge, Fogernetes: Deployment and management of fog computing applications, Proc

, IEEE/IFIP Network Operations and Management Symposium (NOMS), 2018.

. Hashicorp, Serf: Decentralized cluster membership, failure detection, and orchestration

F. Dabek, R. Cox, F. Kaashoek, and R. Morris, Vivaldi: A decentralized network coordinate system, Proc. ACM SIGCOMM Conference, 2004.

L. Subramanian, V. N. Padmanabhan, and R. H. Katz, Geographic properties of internet routing, Proc. Usenix ATC conference, 2002.

A. Ahmed and G. Pierre, Docker Container Deployment in Fog Computing Infrastructures, Proc. IEEE EDGE, 2018.
DOI : 10.1109/edge.2018.00008
URL : https://hal.archives-ouvertes.fr/hal-01775105

W. Hajji and F. P. Tso, Understanding the performance of low power Raspberry Pi cloud for big data, Electronics, vol.5, 2016.