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
Rabie A. Ramadan, Md. Haidar Sharif, Eissa Jaber Alreshidi, Md. Haris Uddin Sharif, Ibrahim Furkan Ince, Hiqmet Kamberaj, Ahmed Y. Khedr
Summary: This paper discusses the importance of fog computing in IoT applications and explores ways to optimize the placement of multi-sink nodes in fog networks to improve efficiency and energy savings. Novel solutions like the Window Nondominant Set, Evaluation Based Approach, Harris Hawks Optimizer, and Modified HHO are proposed to address challenges in fog networks. Experimental results are used to evaluate the performance of these algorithms in terms of power consumption, runtime, packet loss, and localization error.
Article
Computer Science, Hardware & Architecture
Yupeng Li, Mengjia Xia, Jingpu Duan, Yang Chen
Summary: This article studies the interaction between entities in edge computing and proposes a pricing-based resource allocation mechanism, MECM, to maximize social welfare. The theoretical results show that MECM converges to the social optimum and has desirable properties such as budget balance and individual rationality.
Article
Engineering, Electrical & Electronic
Xuan-Qui Pham, Thien Huynh-The, Eui-Nam Huh, Dong-Seong Kim
Summary: This article investigates a partial offloading strategy for multi-user PVMEC and proposes a low-complexity distributed offloading scheme using game theory, which can significantly improve the system utility.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(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
Engineering, Electrical & Electronic
Rafia Malik, Mai Vu
Summary: The combination of wireless charging and computation offloading in edge networks provides a promising solution for power-intensive and computation-heavy applications on user devices. A novel two-stage algorithm is proposed to minimize energy consumption for computation offloading and maximize energy received from wireless charging, optimizing overall performance within power and latency constraints. The results show that optimal energy beamforming outperforms other schemes and that partial offloading leads to lower energy consumption and better wireless charging performance.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Review
Computer Science, Hardware & Architecture
Annisa Sarah, Gianfranco Nencioni, Md. Muhidul I. Khan
Summary: The fifth generation (5G) and beyond mobile networks require innovative services with strict requirements. For example, Ultra-Reliable Low-Latency Communication (URLLC) demands 1 ms latency, end-to-end security, and reliability up to 99.999%. Multi-access Edge Computing (MEC) supports URLLC by providing computing and storage resources near user equipment. It reduces latency, enhances context-awareness, security, and dependability by processing and storing data at the edge network instead of the cloud.
Article
Engineering, Electrical & Electronic
Xiangnan Liu, Haijun Zhang, Keping Long, Arumugam Nallanathan, Victor C. M. Leung
Summary: This paper investigates the challenges of energy efficiency and cross-tier interference in heterogeneous Fog-RAN and proposes an algorithm and strategy for user association, resource allocation, and caching deployment. Simulation results demonstrate the effectiveness and convergence of the proposed method.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Energy & Fuels
Xiang Xiao, Ming Zhao, Yusen Zhu
Summary: This article aims to study multistage resource-aware congestion control algorithms based on edge computing environments. The article compares and analyzes edge computing and traditional cloud computing, highlighting the differences between them. It proposes a congestion control algorithm based on cooperative paths and analyzes the problem of the MPTCP-based congestion control algorithm. Simulation results show that the EECCA algorithm achieves better throughput performance and energy efficiency compared to MPTCP.
Article
Computer Science, Information Systems
Tariq Qayyum, Zouheir Trabelsi, Asad Waqar Malik, Kadhim Hayawi
Summary: This paper proposes a simulation framework for fog devices that can use end devices to handle peak computation load for better Quality of Services. Regional fog nodes deployed at network edge locations are used as intelligent agents. The concept of using IoT devices as fog nodes has improved system performance.
Article
Computer Science, Hardware & Architecture
Yiqin Deng, Xianhao Chen, Guangyu Zhu, Yuguang Fang, Zhigang Chen, Xiaoheng Deng
Summary: This article introduces the basic concepts, performance metrics, killer applications, architectural design, modeling approaches and future research directions of multi-access edge computing (MEC). It is a useful quick introduction for beginning researchers.
IEEE WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Habiba Mohamed, Eyhab Al-Masri, Olivera Kotevska, Alireza Souri
Summary: This paper proposes OpERA, a multi-layered edge-based resource allocation optimization framework that supports heterogeneous edge devices. It optimizes resource allocation by capturing offloadable task requirements, reducing costs and energy consumption, and increasing the likelihood of successful task offloading.
Article
Engineering, Electrical & Electronic
Yutong Zhang, Boya Di, Zijie Zheng, Jinlong Lin, Lingyang Song
Summary: This paper investigates a three-layer distributed multi-access edge computing network, where clouds, MEC servers, and edge devices are deployed at different layers to reduce system latency through task offloading and resource allocation. By proposing a distributed scheme based on reinforcement learning, a lower system latency is achieved compared to existing schemes, while also discussing the impact of resource competition and device numbers on performance.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Te-Chuan Chiu, Chih-Yu Wang, Ai-Chun Pang, Wei-Ho Chung
Summary: Beam-based wireless power transfer and Fog/edge computing are promising technologies for wireless powered Fog computing networks. However, integrating these technologies still faces challenges, such as energy-aware task offloading and signal interferences from wireless beamforming spillovers.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(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.
Article
Computer Science, Information Systems
David Hutchison, James P. G. Sterbenz
COMPUTER COMMUNICATIONS
(2018)
Article
Engineering, Electrical & Electronic
Simon Dobson, David Hutchison, Andreas Mauthe, Alberto Schaeffer-Filho, Paul Smith, James P. G. Sterbenz
PROCEEDINGS OF THE IEEE
(2019)
Article
Computer Science, Hardware & Architecture
Ruben Vales, Jose Moura, Rui Marinheiro
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2019)
Article
Computer Science, Information Systems
Ioannis M. Stephanakis, Ioannis P. Chochliouros, Evangelos Sfakianakis, Syed Noorulhassan Shirazi, David Hutchison
INFORMATION SCIENCES
(2019)
Review
Computer Science, Hardware & Architecture
Jose Moura, David Hutchison
JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
(2020)
Article
Chemistry, Analytical
Patricia Cardoso, Jose Moura, Rui Neto Marinheiro
Summary: This study proposes a solution that incorporates software-defined networking (SDN), network function virtualization (NFV), and fog computing (FC) to autonomously activate or deactivate embedded virtualized resources in response to clients' requests for edge services. Extensive tests show the superior performance of the proposed elastic edge resource provisioning algorithm, resulting in higher flow rate, smaller delay, and reduced loss compared to non-proactive controller operation. Furthermore, the controller records the duration of each edge service session, enabling resource accounting per session.
Article
Computer Science, Artificial Intelligence
Pedro Santana, Jose Moura
Summary: To handle the growth of data-intensive network edge services, machine learning is being incorporated into software-defined networking solutions. This article presents a Bayesian multi-armed bandit approach for online dynamic routing of data flows in programmable networking systems. The approach has been analyzed with simulated and emulated data, showing its ability to discover routing paths with minimal delay among alternatives, even when facing abrupt changes in transmission delay distributions.
Proceedings Paper
Automation & Control Systems
Pedro Mariano, Susana Marta Almeida, Alexandre Almeida, Carolina Correia, Vania Martins, Jose Moura, Tomas Brandao, Pedro Santana
Summary: This paper presents a solution developed in the ExpoLIS project for engineering an information system that runs a heterogeneous mobile sensor network. The solution includes software for transferring, processing, and storing sensor data, as well as a mobile application for increasing awareness on air pollution and a tool for scientists to subscribe to sensor data. The paper discusses the engineering solutions and design of supporting tools, as well as choices made in processing sensor data and possible future directions for the developed software.
PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON INFORMATICS IN CONTROL, AUTOMATION AND ROBOTICS (ICINCO)
(2022)
Article
Computer Science, Information Systems
Jose Moura, David Hutchison
Summary: This paper explores the use of open-source programmable asset orchestration at edge cloud systems to ensure operational resilience and satisfactory performance. It introduces a new cross-level configurable solution called RECS, which effectively mitigates disruptive events such as control channel issues, service overload, or link congestion.
Article
Multidisciplinary Sciences
Jose Moura, David Hutchison
SN APPLIED SCIENCES
(2020)
Proceedings Paper
Computer Science, Theory & Methods
Anish Jindal, Angelos K. Marnerides, Andrew Scott, David Hutchison
E-ENERGY'19: PROCEEDINGS OF THE 10TH ACM INTERNATIONAL CONFERENCE ON FUTURE ENERGY SYSTEMS
(2019)
Proceedings Paper
Acoustics
Anish Jindal, Angelos K. Marnerides, Antonios Gouglidis, Andreas Mauthe, David Hutchison
2019 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP)
(2019)
Article
Computer Science, Information Systems
Pedro Manso, Jose Moura, Carlos Serrao