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Computer Science, Hardware & Architecture
Irian Leyva-Pupo, Cristina Cervello-Pastor
Summary: This study addresses the placement and chaining problem of 5G User Plane Functions in a Multi-access Edge Computing environment by formulating a multi-objective ILP model and introducing two heuristic solutions for enhancing solution efficiency.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
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Computer Science, Information Systems
Yuanzhe Li, Ao Zhou, Xiao Ma, Shangguang Wang
Summary: This article studies how to properly place edge servers in a 5G network in order to guarantee access delay and maximize profit. It proposes a profit model that considers both access delay and energy consumption, and uses a particle swarm optimization-based algorithm to optimize profit. The algorithm introduces a weight value and a service-level agreement to balance the tradeoff between access delay and energy consumption. Experimental results show that the algorithm excels in achieving the highest profit.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Chemistry, Analytical
Pablo Fondo-Ferreiro, David Candal-Ventureira, Francisco Javier Gonzalez-Castano, Felipe Gil-Castineira
Summary: Vehicle automation is driving the integration of advanced sensors and new applications that demand high-quality information, such as collaborative sensing for enhanced situational awareness. In this work, an optimization framework that deploys User Plane Functions (UPFs) dynamically at the edge to minimize the number of network hops between vehicles and resources is proposed, supported by a practical Software-Defined-Networking (SDN)-based mechanism for seamless re-assignment of vehicles to UPFs while maintaining session and service continuity. Different UPF allocation algorithms are evaluated to reduce communication latency, with dynamic UPF allocation supporting latency-critical applications that would be unfeasible otherwise.
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Engineering, Civil
Muhammad Ayzed Mirza, Junsheng Yu, Salman Raza, Manzoor Ahmed, Muhammad Asif, Azeem Irshad, Neeraj Kumar
Summary: This paper proposes a mobility, contact, and computational load-aware (MCLA) task offloading scheme for heterogeneous vehicular edge computing networks, which integrates different wireless technologies to improve network performance and meet low-latency and cost constraints. The scheme leverages the computational power of public vehicles and shareable computations from passengers' mobile equipment to enhance computation capacity. Extensive evaluations show that the MCLA scheme significantly improves task turnover ratio by 4%-15% with lower transmission and computation costs of 4.7%-29.8%.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2023)
Article
Computer Science, Information Systems
Haneul Ko, Sangheon Pack
Summary: In this article, a function-aware resource management (FARM) framework is proposed for serverless edge computing to maximize the utilization of edge cloud resources. The FARM framework utilizes linear programming to determine the optimal amount of computing resources allocated to maintain warm container instances, reducing memory resource consumption while ensuring on-time task completion.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Phu Lai, Qiang He, John Grundy, Feifei Chen, Mohamed Abdelrazek, John Hosking, Yun Yang
Summary: Edge computing offers lower end-to-end latency and enables real-time, latency-sensitive applications to be deployed on servers closer to end-users. This article focuses on the cost-effectiveness of user allocation solutions, aiming to maximize the number of users allocated to edge servers and minimize the required number of servers to reduce operating costs. A heuristic approach is proposed to efficiently find sub-optimal solutions to large-scale user allocation problems.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Computer Science, Information Systems
Bahareh Bahrami, Mohammad Reza Khayyambashi, Seyedali Mirjalili
Summary: MEC is a promising communication paradigm that utilizes edge servers near end users to enable IoT and 5G scenarios. These servers provide virtualized resources and host various MEC applications, allowing user equipment and IoT devices to offload tasks. Optimizing edge server placement can greatly enhance the performance of mobile applications.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Pei Ren, Xiuquan Qiao, Yakun Huang, Ling Liu, Calton Pu, Schahram Dustdar, Junliang Chen
Summary: Multi-user mobile Augmented Reality (AR) technology has been successfully applied in various fields, and mobile Web technology is considered a promising supporting technology in 5G networks for the practical application of multi-user mobile Web AR. How to properly utilize these new techniques to achieve efficient communication and computing collaboration is crucial for the realization of multi-user mobile Web AR in 5G networks.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Automation & Control Systems
Xiangjie Kong, Shiqin Tong, Haoran Gao, Guojiang Shen, Kailai Wang, Mario Collotta, Ilsun You, Sajal K. Das
Summary: Edge computing is a new computing paradigm that distributes tasks to various edge devices for collaborative completion. However, the complexity of circumstantial factors in the edge network leads to instability in cooperation between devices. This article proposes the ECN-Opt framework to optimize edge cooperative networks and enhance the performance of edge computing tasks.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Computer Science, Information Systems
Qingyong Chen, Zhe Wang, Yu Su, Luwei Fu, Yuanlun Wei
Summary: Due to limitations of traditional information infrastructures, the practical deployment of smart campuses faces challenges. In this paper, a 5G-based architecture for smart education information infrastructure is proposed, and a series of experiments are conducted to verify its performance. The results show that the system performs well in terms of throughput and latency.
Article
Computer Science, Information Systems
Faisal Haider, Decheng Zhang, Marc St-Hilaire, Christian Makaya
Summary: The paper proposes an exact model for planning and designing fog networks, aiming to minimize network delay and traffic sent to the cloud center through three optimization techniques: weighted sum, hierarchical, and trade-off methods. Computational results show an increase in delay, traffic, and solution time as the problem size increases, with the weighted sum method achieving the best trade-off results for delay and traffic.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2021)
Article
Computer Science, Information Systems
Yue Zeng, Zhihao Qu, Song Guo, Bin Tang, Baoliu Ye, Jing Li, Jie Zhang
Summary: Network function virtualization is a crucial technology for 5G, enabling the abstraction of services into software-based service function chains (SFCs) for high-reliability mission-critical services. However, providing reliable SFCs in dynamic environments at a cost-effective manner is challenging due to delayed rewards, limited infrastructure resources, and hardware and software reliability heterogeneity. To address these challenges, this paper proposes a RuleDRL algorithm that combines deep reinforcement learning (DRL) to capture delayed rewards and rule-based schemes to explore high-quality solutions without violating constraints. Extensive simulations demonstrate the effectiveness of RuleDRL in cost savings and SFC acceptance ratio improvements compared to the state-of-the-art solution.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Computer Science, Hardware & Architecture
Akshay Jain, Elena Lopez-Aguilera, Ilker Demirkol
Summary: The paper introduces a joint optimization framework called AURA-5G to provide efficient mobility management and user association for 5G networks, aiming to improve network performance and ensure service quality. By using Mixed Integer Linear Programming (MILP) to maximize network throughput and optimize bandwidth allocation and access point selection, while studying the impact of different application profiles and dual connectivity modes on network performance.
Article
Computer Science, Interdisciplinary Applications
Kashif Naseer Qureshi, Adi Alhudhaif, Raja Waseem Anwar, Shahid Nazir Bhati, Gwanggil Jeon
Summary: The Internet of Things (IoT) utilizes smart devices and sensor nodes for data communication, environment monitoring, tracking, and sensing. Augmented Reality (AR) as an attractive and advanced area integrated into IoT networks in smart homes and smart industries, converts objects into 3D for visualizing information and providing interactive reality-based control. Edge computing and Fifth-Generation platforms propose a more convenient and fast data communication model.
Article
Computer Science, Hardware & Architecture
Swapnil Sadashiv Shinde, Dania Marabissi, Daniele Tarchi
Summary: The 5G communication standard is characterized by increased softwarization and Network Function Virtualization (NFV), enabling flexible deployment and performance benefits in network slicing and the edge-to-cloud continuum.
Article
Green & Sustainable Science & Technology
Gianmarco Garrisi, Cristina Cervello-Pastor
Article
Chemistry, Multidisciplinary
Miranda McClellan, Cristina Cervello-Pastor, Sebastia Sallent
APPLIED SCIENCES-BASEL
(2020)
Article
Computer Science, Hardware & Architecture
Irian Leyva-Pupo, Cristina Cervello-Pastor
Summary: This study addresses the placement and chaining problem of 5G User Plane Functions in a Multi-access Edge Computing environment by formulating a multi-objective ILP model and introducing two heuristic solutions for enhancing solution efficiency.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2022)
Article
Chemistry, Analytical
Alejandro Llorens-Carrodeguas, Stefanos G. Sagkriotis, Cristina Cervello-Pastor, Dimitrios P. Pezaros
Summary: This study proposes a scheduler optimized for energy-constrained SBC clusters, achieving fewer event rejections, less deadline violations, and a significant reduction in energy consumption across the cluster compared to existing schedulers.
Article
Chemistry, Analytical
Alejandro Llorens-Carrodeguas, Irian Leyva-Pupo, Cristina Cervello-Pastor, Luis Pineiro, Shuaib Siddiqui
Summary: This paper investigates dynamic scaling and load balancing of transparent virtualized network functions (VNFs) and proposes a SDN-based solution. Through experiments, the feasibility of the solution was validated, showing that SDN controllers and OFS offer flexibility to implement various strategies for load balancing, scaling, and monitoring.
Article
Computer Science, Hardware & Architecture
Irian Leyva-Pupo, Cristina Cervello-Pastor, Christos Anagnostopoulos, Dimitrios P. Pezaros
Summary: This paper addresses the problem of dynamic user plane function placement and chaining reconfiguration (UPCR) in a MEC environment to cope with user mobility while guaranteeing cost reductions and acceptable quality of service (QoS). The proposed heuristic algorithm, dynamic priority and cautious UPCR (DPC-UPCR), provides near-optimal solutions within significantly shorter times than the mathematical model. Additionally, the scheduling mechanism based on optimal stopping theory outperforms baseline solutions in terms of the number of reconfiguration events and QoS levels.
Article
Computer Science, Hardware & Architecture
Alejandro Llorens-Carrodeguas, Cristina Cervello-Pastor, Francisco Valera
Summary: This paper addresses the deployment of virtual network functions using single-board computers (SBCs) in a multi-cluster system. It proposes an intelligent controller based on deep reinforcement learning to optimize energy consumption and resource utilization in SBCs.
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Irian Leyva-Pupo, Cristina Cervello-Pastor
Summary: This study focuses on predicting the impact of user mobility on system quality of service (QoS) using machine learning techniques and automating the reconfiguration process to avoid degradation. Experimental results show that the proposed mechanism outperforms the baseline model and significantly reduces the number of reconfigurations.
Article
Telecommunications
Leonardo Ochoa-Aday, Cristina Cervello-Pastor, Adriana Fernandez-Fernandez
DIGITAL COMMUNICATIONS AND NETWORKS
(2020)
Correction
Computer Science, Information Systems
Alejandro Santoyo-Gonzalez, Cristina Cervello-Pastor
Article
Computer Science, Information Systems
Alejandro Santoyo-Gonzalez, Cristina Cervello-Pastor
