Article
Engineering, Electrical & Electronic
Favian Dewanta, Masahiro Mambo
Summary: The paper proposes a Bidding-Price-based Transaction (BPT) method for vehicular fog computing service in rural areas, which establishes mutual trust and assigns payoff based on transaction evaluation, enabling trusted fog computing service transactions between vehicles without the direct assistance of any trusted third party. Simulation results and feasibility analysis validate the performance of the BPT scheme in rural areas, claiming that it can be realized by adjusting vehicle speed and transmission range with respect to the size of offloaded data.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Hardware & Architecture
Chaogang Tang, Huaming Wu
Summary: The rapid development of paradigms such as SIoV and VFC in response to the rise of smart vehicles has sparked interest in addressing trustworthiness issues. While reputation-based countermeasures have been adopted in SIoV, little attention has been paid to the reputation of vehicles in VFC. This paper proposes a reputation-based service provisioning scheme and a reputation management scheme to prevent fog vehicles from delivering low-quality computing services.
JOURNAL OF SYSTEMS ARCHITECTURE
(2022)
Article
Computer Science, Hardware & Architecture
Savio Sciancalepore
Summary: This paper introduces PARFAIT, a framework for secure and low-delay access to services in fog-enabled IoT ecosystems. PARFAIT uses rolling ephemeral identities to provide unlinkability among access requests, preventing tracking of mobile IoT devices by compromised fog nodes.
Review
Automation & Control Systems
Lion Silva, Naercio Magaia, Breno Sousa, Anna Kobusinska, Antonio Casimiro, Constandinos X. Mavromoustakis, George Mastorakis, Victor Hugo C. de Albuquerque
Summary: Determining the structure of vehicular network environments can be achieved in various ways, with the evolution from VANET to IoVs and the adoption of wireless technologies and data analytics paradigms playing crucial roles. Security issues are closely linked to the characteristics of vehicular networks, showing complementarity and shared problems among them.
IEEE-CAA JOURNAL OF AUTOMATICA SINICA
(2021)
Article
Chemistry, Analytical
Adrian Orive, Aitor Agirre, Hong-Linh Truong, Isabel Sarachaga, Marga Marcos
Summary: The fast growth in the amount of connected devices has enabled the emergence of Edge computing, which provides lower latencies compared to Cloud computing. Combining Cloud and Edge computing can meet the quality of service requirements for complex applications. However, orchestrating applications in the Cloud-Edge computing faces new challenges that need to be solved to fully utilize this layered infrastructure. This paper proposes an architecture that dynamically orchestrates applications in the Cloud-Edge continuum, focusing on the application's quality of service.
Article
Computer Science, Information Systems
Timo Klein, Tanja Fenn, Anett Katzenbach, Heiner Teigeler, Sebastian Lins, Ali Sunyaev
Summary: This article discusses the security threats faced by vehicular fog computing systems and their mitigation strategies, presenting a comprehensive threat model with various attacks.
Article
Computer Science, Information Systems
Fatemah S. Behbehani, Taisir E. H. El-Gorashi, Jaafar M. H. Elmirghani
Summary: This paper introduces the concept and architecture of vehicular clouds, which utilize underutilized vehicular resources to supplement cloud computing services. Through optimizing the allocation of processing demands and minimizing power consumption, the proposed vehicular cloud provides a solution to alleviate the burden on centralized cloud data centers and improve service quality.
Article
Engineering, Civil
Sohan Kumar Pande, Sanjaya Kumar Panda, Satyabrata Das, Mamoun Alazab, Kshira Sagar Sahoo, Ashish Kumar Luhach, Anand Nayyar
Summary: Vehicular clouds utilize underutilized resources of vehicles by deploying virtual machines (VMs) to provide various services, but the mobility of vehicles can lead to service disruptions, requiring VM migration to other potential vehicles. This research proposes a smart cloud service management algorithm to address this challenge, effectively optimizing performance metrics by assigning URs to different vehicles based on the movement pattern of vehicles.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Claudio Correia, Miguel Correia, Luis Rodrigues
Summary: This article presents the design and implementation of a secure event ordering service for fog nodes. The service leverages a Trusted Execution Environment (TEE) to provide guarantees regarding the order of events, even when fog nodes are compromised.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Zhen Li, Chao Yang, Xumin Huang, WeiLiang Zeng, Shengli Xie
Summary: In vehicular edge computing networks, edge service caching is a promising technology for supporting delay sensitive applications. This paper proposes a collaborative task offloading and service caching replacement scheme, named CoOR, which considers task processing cooperation between adjacent RSUs and service caching replacement for vehicles. An iterative algorithm combined with Gibbs sampling and deep reinforcement learning (DRL) is developed to find optimal decisions for the problem of task offloading and service caching coupling. Extensive simulation results show that the proposed scheme outperforms traditional baselines.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Engineering, Electrical & Electronic
Nihal Gaouar, Mohamed Lehsaini
Summary: This paper discusses the principles of cloud/fog computing in the Internet of Things, compares the two paradigms, presents a classification of data dissemination schemes in vehicular ad hoc networks, vehicular cloud, and vehicular fog computing, and showcases several cloud/fog computing applications.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2021)
Article
Computer Science, Information Systems
Md Asif Thanedar, Sanjaya Kumar Panda
Summary: The new computing paradigm, fog computing, integrates with vehicular networks to provide advanced services such as navigation, self-driving cars, and augmented reality for smart transportation solutions. However, an influx of vehicles can lead to load imbalance among fog nodes (FNs), resulting in a reduction in network service capability and resource utilization efficiency. To address this, we propose a dynamic resource management (DRM) algorithm that migrates services among FNs to assign resources to smart vehicles. The DRM is simulated extensively and shown to enhance service capability, availability, throughput, and resource utilization efficiency compared to existing algorithms.
PEER-TO-PEER NETWORKING AND APPLICATIONS
(2023)
Review
Computer Science, Information Systems
Monika Gill, Dinesh Singh
Summary: This paper reviews literature of simulation tools for fog computing from 2015 to 2020, aiming to assist novice researchers in exploring and evaluating fog-related proposals. The study systematically identifies relevant articles, evaluates their strengths and limitations, and presents a comparative analysis of studies based on eight characteristics. The paper also highlights the need for more advanced fog simulators and outlines future research directions.
COMPUTER SCIENCE REVIEW
(2021)
Article
Computer Science, Information Systems
Azzam Mourad, Hanine Tout, Omar Abdel Wahab, Hadi Otrok, Toufic Dbouk
Summary: The article discusses the challenges of intrusion detection in Internet of Vehicles and vehicular networks, and proposes a vehicular-edge computing (VEC) fog-enabled scheme to offload intrusion detection tasks with minimal latency. The scheme aims to maximize offloading survivability while minimizing computation execution time and energy consumption.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Zhen Gao, Lei Yang, Yu Dai
Summary: In vehicular fog computing, the proposed decentralized task offloading method (TPDMAAC) utilizes transformer and policy decoupling-based multiagent actor-critic to address the challenges of high task load and limited transferability of trained models. It introduces transformer-based networks for load prediction and temporal feature extraction, and utilizes self-attention mechanism for mapping embedding features to offloading policies. Experimental results show that TPDMAAC quickly adapts to new environments, reducing system cost and improving task completion rates compared to existing algorithms.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Theory & Methods
Jasenka Dizdarevic, Francisco Carpio, Admela Jukan, Xavi Masip-Bruin
ACM COMPUTING SURVEYS
(2019)
Article
Thermodynamics
X. Masip, A. Cazorla-Marin, Carla Montagud-Montalva, J. Marchante, F. Barcelo, J. M. Corberan
APPLIED THERMAL ENGINEERING
(2019)
Article
Chemistry, Analytical
Panagiotis Trakadas, Nikolaos Nomikos, Emmanouel T. Michailidis, Theodore Zahariadis, Federico M. Facca, David Breitgand, Stamatia Rizou, Xavi Masip, Panagiotis Gkonis
Article
Computer Science, Hardware & Architecture
Admela Jukan, Francisco Carpio, Xavi Masip, Ana Juan Ferrer, Nicole Kemper, Birgit U. Stetina
Article
Engineering, Electrical & Electronic
Souvik Sengupta, Jordi Garcia, Xavi Masip-Bruin
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2020)
Article
Computer Science, Theory & Methods
A. Asensio, X. Masip-Bruin, R. J. Duran, I de Miguel, G. Ren, S. Daijavad, A. Jukan
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2020)
Article
Computer Science, Theory & Methods
Zeineb Rejiba, Xavier Masip-Bruin, Eva Marin-Tordera
Summary: This study introduces a block-based FN selection scheme and a greedy selection approach to tackle the issues of uncertainty and dynamics in fog computing environments. Simulation results demonstrate the significant improvement in FN selection performance using both methods.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Computer Science, Theory & Methods
A. Asensio, X. Masip-Bruin, J. Garcia, S. Sanchez
Summary: This paper discusses the advantages of leveraging cloud and edge computing resources in smart environments, and proposes the Concurrent Container Clusters Scheduling problem (C3S) to optimize the deployment of containers in heterogeneous node clusters. Using Integer Linear Programming, the objective is to minimize the number of rejected applications and computing nodes.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Chemistry, Analytical
Xavi Masip-Bruin, Eva Marin-Tordera, Sergi Sanchez-Lopez, Jordi Garcia, Admela Jukan, Ana Juan Ferrer, Anna Queralt, Antonio Salis, Andrea Bartoli, Matija Cankar, Cristovao Cordeiro, Jens Jensen, John Kennedy
Summary: The cloud continuum, formed by the combination of fog computing, edge computing, and cloud computing, requires novel management strategies to coordinate and efficiently manage resources from the edge to the cloud. This management framework design poses various research challenges and has spurred many global initiatives.
Review
Chemistry, Analytical
Xavi Masip-Bruin, Eva Marin-Tordera, Jose Ruiz, Admela Jukan, Panagiotis Trakadas, Ales Cernivec, Antonio Lioy, Diego Lopez, Henrique Santos, Antonis Gonos, Ana Silva, Jose Soriano, Grigorios Kalogiannis
Summary: Building supply chains on large and complex IoT systems require a coordinated framework for cyber resilience provisioning to ensure trusted ICT systems. The proposed solution in this paper addresses security and privacy functionalities related to risks and vulnerabilities management, accountability, and mitigation strategies. The FISHY architecture leverages programmable networks and IT infrastructure to orchestrate security services in real-time and proactively.
Article
Computer Science, Theory & Methods
Jordi Garcia, Francesc Aguilo, Adria Asensio, Ester Simo, Marisa Zaragoza, Xavi Masip-Bruin
Summary: A new model is proposed for offloading task execution in heterogeneous environments, considering nodes computing capacity, network bandwidth, and geographical location. Two optimization strategies are suggested, and the simulation results show that the staged model provides the optimal solution in most scenarios.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2021)
Article
Chemistry, Analytical
Panagiotis Trakadas, Xavi Masip-Bruin, Federico M. Facca, Sotirios T. Spantideas, Anastasios E. Giannopoulos, Nikolaos C. Kapsalis, Rui Martins, Enrica Bosani, Joan Ramon, Raul Gonzalez Prats, George Ntroulias, Dimitrios Lyridis
Summary: This paper presents a reference architecture of a meta-operating system (RAMOS) for edge computing and explores its potential in key applications, focusing on distributed intelligence, privacy preservation principles, and environmental footprint minimization.
Proceedings Paper
Computer Science, Information Systems
Sarang Kahvazadeh, Xavi Masip-Bruin, Pau Marcer, Eva Marin-Tordera
COMPUTER SECURITY: ESORICS 2019 INTERNATIONAL WORKSHOPS, IOSEC, MSTEC, AND FINSEC
(2020)
Article
Computer Science, Information Systems
Azin Moradbeikie, Kamal Jamshidi, Ali Bohlooli, Jordi Garcia, Xavi Masip-Bruin
