Locality-aware deployment of application microservices for multi-domain fog computing

Computer Communications - Tập 203 - Trang 180-191 - 2023
Francescomaria Faticanti1,2, Marco Savi3, Francesco De Pellegrini4, Domenico Siracusa1
1Fondazione Bruno Kessler, via Sommarive 18, Povo (Trento) 38123, Italy
2INRIA, 2004 route des Lucioles, BP 93, Sophia Antipolis, 06902, France
3University of Milano-Bicocca, Department of Informatics, Systems and Communication, Viale Sarca, 336, Milano, 20125, Italy
4University of Avignon, Laboratoire d’Informatique d’Avignon, Université d’Avignon, Avignon, 84140, France

Tài liệu tham khảo

Dastjerdi, 2016, Fog Computing: Helping the Internet of Things Realize Its Potential, IEEE Comput., 49, 112, 10.1109/MC.2016.245

A. Yousefpour, G. Ishigaki, J.P. Jue, Fog Computing: Towards Minimizing Delay in the Internet of Things, in: IEEE International Conference on Edge Computing, EDGE, 2017.

Guan, 2018, Data Security and Privacy in Fog Computing, IEEE Netw., 32, 106, 10.1109/MNET.2018.1700250

Byers, 2017, Architectural Imperatives for Fog Computing: Use cases, Requirements, and Architectural Techniques for Fog-Enabled IoT Networks, IEEE Commun. Mag., 55, 14, 10.1109/MCOM.2017.1600885

Nadareishvili, 2016

Pallewatta, 2022

AWS IoT Greengrass, https://aws.amazon.com/greengrass/.

Azure IoT Edge, https://shorturl.at/egpEJ.

M. Savi, D. Santoro, K. Di Meo, et al., A Blockchain-based Brokerage Platform for Fog Computing Resource Federation, in: Conference on Innovation in Clouds, Internet and Networks, ICIN, 2020.

Li, 2015, Service Operator-Aware Trust Scheme for Resource Matchmaking across Multiple Clouds, IEEE Trans. Parallel Distrib. Syst., 26, 1419, 10.1109/TPDS.2014.2321750

Cheng, 2011, Virtual Network Embedding through Topology-aware Node Ranking, ACM SIGCOMM Comput. Commun. Rev., 41, 38, 10.1145/1971162.1971168

F. Faticanti, M. Savi, F. De Pellegrini, P. Kochovski, V. Stankovski, D. Siracusa, Deployment of Application Microservices in Multi-Domain Federated Fog Environments, in: International Conference on Omni-Layer Intelligent Systems, COINS, 2020.

Rochwerger, 2009, The Reservoir Model and Architecture for Open Federated Cloud Computing, IBM J. Res. Dev., 53, 1, 10.1147/JRD.2009.5429058

Ferrer, 2012, OPTIMIS: A Holistic Approach to Cloud Service Provisioning, Elsevier Future Gen. Comput. Syst., 28, 66, 10.1016/j.future.2011.05.022

Li, 2021, RAMBO: resource allocation for microservices using Bayesian optimization, IEEE Comput. Archit. Lett., 20, 46, 10.1109/LCA.2021.3066142

Kairouz, 2021, Advances and open problems in federated learning, Found. Trends® Mach. Learn., 14, 1, 10.1561/2200000083

Yu, 2019, Load balancing for interdependent IoT microservices, 298

Amaldi, 2016, On the computational complexity of the virtual network embedding problem, Electron. Notes Discrete Math., 52, 213, 10.1016/j.endm.2016.03.028

Cao, 2018, Heuristic Solutions of Virtual Network Embedding: A Survey, China Commun., 15, 186, 10.1109/CC.2018.8332001

Zhang, 2013, A unified enhanced particle swarm optimization-based virtual network embedding algorithm, Int. J. Commun. Syst., 26, 1054, 10.1002/dac.1399

Yu, 2008, Rethinking Virtual Network Embedding: Substrate Support for Path Splitting and Migration, ACM SIGCOMM Comput. Commun. Rev., 38, 17, 10.1145/1355734.1355737

Gupta, 2017, iFogSim: A Toolkit for Modeling and Simulation of Resource Management Techniques in the Internet of Things, Edge and Fog Computing Environments, Wiley Softw. Pract. Exper., 47, 1275, 10.1002/spe.2509

Gurobi Optimization, LLC, 2021