@article {16776,
	title = {Exploring the Synergy of Fog Computing, Blockchain, and Federated Learning for IoT Applications: A Systematic Literature Review},
	journal = {IEEE Access},
	volume = {vol 12},
	year = {2024},
	abstract = {The proliferation of Internet of Things (IoT) applications poses formidable challenges in managing data processing, privacy, and security. In response, technologies such as Fog Computing (FC), Blockchain (BC), and Federated Learning (FL) have emerged as promising solutions. Combining these technologies can broaden their scope, and impose novel challenges. This paper conducts a Systematic Literature Review (SLR) to investigate their integration within the IoT domain, systematically evaluating the current state-of-the-art by analyzing 40 papers against 38 extraction criteria, encompassing technical characteristics specific to FC, BC, FL, or their integration. The findings offer insights into the advantages, challenges, opportunities, and limitations of this integration, addressing data processing, privacy, and security concerns in IoT. By filling a research gap and directly examining FC, BC, and FL interoperability across architectural layers, this study contributes to knowledge expansion in the field. This paper proposes a novel framework for implementing FL and BC within FC environments for IoT applications, alongside a comprehensive synthesis of existing literature, distinguishing it from previous research efforts. Furthermore, it offers valuable insights into the current landscape, identifies research needs, and proposes future research directions. The framework and literature synthesis provided allow readers to access customized information on FC-BC-FL integration, aiding in designing and implementing robust IoT solutions.},
	keywords = {Blockchain, edge computing, federated learning, fog computing, Internet of Things, systematic literature review},
	doi = {10.1109/ACCESS.2024.3398034},
	url = {https://ieeexplore.ieee.org/document/10522660},
	author = {Wilson Valdez Solis and Juan Marcelo Parra-Ullauri and Attila Kert{\'e}sz}
}
@conference {Kecskemeti2016591,
	title = {The ENTICE approach to decompose monolithic services into microservices},
	booktitle = {2016 International Conference on High Performance Computing and Simulation, HPCS 2016},
	year = {2016},
	note = {cited By 3},
	pages = {591-596},
	doi = {10.1109/HPCSim.2016.7568389},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84991684013\&doi=10.1109\%2fHPCSim.2016.7568389\&partnerID=40\&md5=a124c076bd34560f5dbb1de84aeea5d6},
	author = {Kecskemeti, G. and Marosi, A.C. and Attila Kert{\'e}sz}
}
@article {Bacs{\'o}2014169,
	title = {On Efficiency of Multi-job Grid Allocation Based on Statistical Trace Data},
	journal = {Journal of Grid Computing},
	volume = {12},
	number = {1},
	year = {2014},
	note = {cited By 3},
	pages = {169-186},
	doi = {10.1007/s10723-013-9274-3},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84899408842\&doi=10.1007\%2fs10723-013-9274-3\&partnerID=40\&md5=4e15afb48683e0cc723a519b7be6dd14},
	author = {Bacs{\'o}, G. and Visegr{\'a}di, {\'A}. and Attila Kert{\'e}sz and Nemeth, Z.}
}
@conference {Benyi2014519,
	title = {Energy-aware VM scheduling in IaaS clouds using pliant logic},
	booktitle = {CLOSER 2014 - Proceedings of the 4th International Conference on Cloud Computing and Services Science},
	year = {2014},
	note = {cited By 3},
	pages = {519-526},
	url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84902335921\&partnerID=40\&md5=952c7168ba5b385800201e585ee529e2},
	author = {Benyi, A. and J D Dombi and Attila Kert{\'e}sz}
}
@article {16363,
	title = {Enhancing Federated Cloud Management with an Integrated Service Monitoring Approach},
	journal = {JOURNAL OF GRID COMPUTING},
	volume = {11},
	year = {2013},
	pages = {699{\textendash}720},
	abstract = {Cloud Computing enables the construction and the provisioning of virtualized service-based applications in a simple and cost effective outsourcing to dynamic service environments. Cloud Federations envisage a distributed, heterogeneous environment consisting of various cloud infrastructures by aggregating different {IaaS} provider capabilities coming from both the commercial and the academic area. In this paper, we introduce a federated cloud management solution that operates the federation through utilizing cloud-brokers for various {IaaS} providers. In order to enable an enhanced provider selection and inter-cloud service executions, an integrated monitoring approach is proposed which is capable of measuring the availability and reliability of the provisioned services in different providers. To this end, a minimal metric monitoring service has been designed and used together with a service monitoring solution to measure cloud performance. The transparent and cost effective operation on commercial clouds and the capability to simultaneously monitor both private and public clouds were the major design goals of this integrated cloud monitoring approach. Finally, the evaluation of our proposed solution is presented on different private {IaaS} systems participating in federations.},
	issn = {1570-7873},
	author = {Attila Kert{\'e}sz and G. Kecskem{\'e}ti and M. Oriol and P. Kotcauer and Acs, S. and M. Rodr{\'\i}gez and O. Merc{\`e} and A. Marosi and J. Marco and X. Franch}
}
