Article
Environmental Studies
Huangxin Chen, Yi Shi, Xin Zhao
Summary: Energy efficiency is identified as a crucial factor for achieving most of the Sustainable Development Goals by the World Bank. This study expands the debate on the determinants of energy efficiency by considering the evidence from the US economy and examines the causal relationship among variables. The results highlight the importance of industrial production, financial inclusion, renewable energy public R&D investment, and trade openness in determining energy efficiency in the USA.
Article
Green & Sustainable Science & Technology
Younes Noorollahi, Meysam Pourarshad, Alireza Veisi
Summary: This study examines the feasibility of introducing renewables into Iran's energy system to improve energy security and reduce environmental risks. By identifying potential areas and prioritizing resources, the study predicts electricity supply and demand by 2035 and highlights the benefits of utilizing renewable energy sources for sustainable development.
Article
Computer Science, Information Systems
Giovanni Perin, Michele Berno, Tomaso Erseghe, Michele Rossi
Summary: This paper addresses the energy consumption problem of edge computing technology by reducing the energy burden of facilities and optimizing the distribution of computing load. A predictive, online, and distributed algorithm is proposed for scheduling computing jobs, leading to fast convergence and efficient use of edge computing facilities. The algorithm achieves a significant reduction in the amount of renewable energy sold to the power grid, resulting in energy savings.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2022)
Article
Development Studies
Abdullah Emre Caglar, Bulent Guloglu, Ayfer Gedikli
Summary: BRICS nations need to take measures to ensure sustainable use of natural resources, reduce dependence on fossil fuels, increase the share of renewable energy in the total energy mix, and support investments in renewable energy infrastructure for sustainable environmental development.
SUSTAINABLE DEVELOPMENT
(2022)
Article
Environmental Studies
Yang Li, Xiaoyan Zhang, Sebastian-Emanuel Stan, Tsangyao Chang
Summary: This study examines the impact of natural resources, globalization, and renewable energy consumption on environmental pollution. The results show that natural resources and globalization have a positive and significant effect on CO2 levels, while renewable energy consumption has a negative and significant effect.
Article
Development Studies
Tii N. Nchofoung, Nathanael Ojong
Summary: Based on data from 48 African countries, this study examines the impact of natural resources on renewable energy development and the role of governance as a mediator. The findings indicate that natural resources have a positive effect on renewable energy development in Africa, except for forest resources. Additionally, governance interacts with natural resource rents to generate positive effects across different governance specifications and natural resources.
SUSTAINABLE DEVELOPMENT
(2023)
Review
Environmental Sciences
L. R. Amjith, B. Bavanish
Summary: This review analyzes the potential of wind, biomass, and hybrid systems in renewable energy production and investigates the performance analysis and sustainability of biomass-based hybrid energy systems. The findings suggest that biomass-based hybrid energy systems can provide a cost-effective and environmentally friendly alternative for off-grid rural electrification.
Article
Green & Sustainable Science & Technology
Thangaraj Manirathinam, Samayan Narayanamoorthy, Selvaraj Geetha, Mohd Fairuz Iskandar Othman, Badr Saad Alotaibi, Ali Ahmadian, Daekook Kang
Summary: The future focus should be on developing sustainable cities through reducing energy waste and constructing carbon-neutral environments. This requires the development of smart homes with self-sufficient power generation, storage, and consumption systems based on distributed renewable energy resources and good infrastructure. However, no alternative energy source can fully meet these demands, even though wind and solar energy are often the most practical forms of renewable energy. Current research is focused on combining these two energy sources to take advantage of their complementary characteristics. The deployment of optimal renewable energy systems in each house is challenging due to various socio-economic barriers, leading to decision-making problems. The proposed hybrid fuzzy decision-making technique shows promise for making forward-thinking judgments on real-world challenges, given its outcome sustainability, accuracy, and consistency.
Article
Environmental Studies
Chi Wei Su, Peiwen Yue, Xinmeng Hou, Hazar Dorduncu
Summary: Despite the recognized significance of natural resources for economic development, many resource-rich nations struggle to realize their potential, creating a dichotomy in the literature. This study dissects the role of natural resources in fostering sustainable commerce in BRICS nations from 1988 to 2021, incorporating significant control variables such as digitalization, research and development, and GDP. Findings reveal that minerals and natural resource rents positively influence sustainable trade, while oil rents impede it. Digitalization and economic growth emerge as key facilitators, whereas renewable energy expenditure negatively affects sustainable trade in the long run. This study provides pivotal insights into the complex dynamics between natural resources and sustainable trade, guiding policy recommendations for optimizing economic outcomes in resource-rich economies.
Article
Computer Science, Theory & Methods
Liang Yuan, Qiang He, Feifei Chen, Jun Zhang, Lianyong Qi, Xiaolong Xu, Yang Xiang, Yun Yang
Summary: This article proposes a decentralized system called CSEdge, which tackles the challenges of incentive and trust in collaborative edge storage through blockchain. CSEdge effectively and efficiently facilitates collaborative edge storage among edge servers.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2022)
Article
Computer Science, Hardware & Architecture
Dhritiman Mukherjee, Sudarshan Nandy, Senthilkumar Mohan, Yasser D. Al-Otaibi, Waleed S. Alnumay
Summary: Cloudlet plays an essential role in providing cloud services in Mobile Edge Computing (MEC) with sustainability, aiming at low latency and energy efficiency. A heuristic load balancing strategy is designed to minimize task completion time and makespan, enhancing cloud service efficiency. Experimental results demonstrate significant improvement in energy and execution cost, as well as time, compared to existing methods, with the proposed method outperforming standard algorithms in most observed cases.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2021)
Article
Engineering, Electrical & Electronic
Guoyu Peng, Shuo Wang, Yudong Huang, Tao Huang, Yunjie Liu
Summary: This article proposes a Task Deterministic Network (TDN) architecture to eliminate long-tail latency issues in resource-limited edge networks, ensuring low latency and zero jitter communication for critical tasks. Through cross-domain collaboration mechanisms and global deterministic forwarding, TDN enables edge collaboration and network optimization.
IEEE COMMUNICATIONS MAGAZINE
(2022)
Article
Engineering, Electrical & Electronic
Yuepeng Li, Deze Zeng, Lin Gu, Andong Zhu, Quan Chen, Shui Yu
Summary: This article addresses the security issues of offloading tasks to edge servers and proposes a Priority-aware Secure Task Offloading (PASTO) algorithm based on TrustZone. Experimental results show that PASTO effectively reduces the total task completion time compared to other approaches.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Economics
Jatin Trivedi, Dipanwita Chakraborty, Haitham Nobanee
Summary: This study investigates global energy production and consumption trends and identifies patterns in renewable energy (RE) source growth using dynamic hierarchical clustering analysis. The findings provide valuable insights for green finance and private investors, emphasizing the importance of developing essential infrastructure for economic sustainability and adopting green energy policies.
Article
Energy & Fuels
Luigi Scarcello, Andrea Giordano, Carlo Mastroianni
Summary: This paper presents a parallel approach based on an edge computing architecture to solve the prosumer problem in energy communities. The approach reduces computing resources and is suitable for large communities. Moreover, the achieved solution is close to the optimal solution in terms of energy costs.
Article
Computer Science, Software Engineering
MohammadReza HoseinyFarahabady, Javid Taheri, Albert Y. Zomaya, Zahir Tari
Summary: This article presents a CPU throttling control strategy to optimize the energy consumption of the Apache Storm platform, and validates its effectiveness in a multi-core system.
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE
(2023)
Article
Computer Science, Hardware & Architecture
Abdullah Alsaedi, Zahir Tari, Redowan Mahmud, Nour Moustafa, Abdun Mahmood, Adnan Anwar
Summary: This article proposes a framework called UnSupervised Misbehaviour Detection (USMD) that uses a deep neural network and long-short term memory method to monitor and identify attacks on CPSs in real-time. Experimental results show that USMD outperforms six state-of-the-art methods on various datasets.
IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING
(2023)
Article
Computer Science, Theory & Methods
Haochen Hua, Yutong Li, Tonghe Wang, Nanqing Dong, Wei Li, Junwei Cao
Summary: In recent years, the widespread popularity of the Internet of Things (IoT) has greatly promoted the development of Artificial Intelligence (AI). However, the traditional cloud computing model may face difficulties in independently handling the massive data generated by IoT. In response, the new computing model of Edge Computing (EC) has gained extensive attention. Scholars have found that traditional methods have limitations in enhancing the performance of EC, leading to the exploration of AI as a solution. This article serves as a guide to explore new research ideas in optimizing EC using AI and applying AI to other fields under the EC architecture.
ACM COMPUTING SURVEYS
(2023)
Article
Computer Science, Theory & Methods
Wael Issa, Nour Moustafa, Benjamin Turnbull, Nasrin Sohrabi, Zahir Tari
Summary: The Internet of Things (IoT) ecosystem connects physical devices to the internet, offering agility, responsiveness, and potential environmental benefits. Deep learning (DL) algorithms are integrated into IoT applications to learn and infer patterns. However, current IoT paradigms rely on centralized storage and computing, causing scalability, security threats, and privacy breaches. Federated learning (FL) helps preserve data privacy, but faces challenges related to vulnerabilities and attacks. This study reviews blockchain-based FL methods for securing IoT systems, addressing security issues and open research questions, and discussing challenges and risks associated with integrating blockchain and FL in IoT.
ACM COMPUTING SURVEYS
(2023)
Article
Computer Science, Information Systems
Mohit Kumar, Avadh Kishor, Jitendra Kumar Samariya, Albert Y. Zomaya
Summary: The Internet of Things (IoT) has transformed the industry by providing various facilities and advancements. To meet the requirements of the industrial IoT system, an autonomic workload prediction and resource allocation framework is introduced. This framework efficiently allocates resources among fog nodes (FNs) based on workload prediction using a deep autoencoder (DAE) model and optimal FN selection using the crow search algorithm (CSA). The proposed scheme outperforms existing optimization models in terms of cost, delay, and workload execution.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Theory & Methods
Haftu Tasew Reda, Adnan Anwar, Abdun Naser Mahmood, Zahir Tari
Summary: This article presents a comprehensive review of defense countermeasures against false data injection attacks in the Smart Grid. The theoretical and practical significance of relevant existing literature in Smart Grid cybersecurity is evaluated and compared. The study identifies technical limitations of existing false data attack detection research and recommends future research directions.
ACM COMPUTING SURVEYS
(2023)
Article
Computer Science, Information Systems
Firas Al-Doghman, Nour Moustafa, Ibrahim Khalil, Nasrin Sohrabi, Zahir Tari, Albert Y. Zomaya
Summary: The paradigm of edge computing has created new possibilities for the Internet of Things (IoT), expanding cloud services to the network edge. This allows for the design of distributed architectures and the enhancement of decision-making applications. Edge computing faces challenges related to security and privacy, but advancements in artificial intelligence and machine learning provide opportunities for precise models and intelligent applications at the network edge. This study presents a comprehensive survey on securing edge computing-based AI microservices, highlighting key requirements and proposing a secure edge computing framework.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Multidisciplinary Sciences
Yunchuan Shi, Wei Li, Xiaomin Chang, Ting Yang, Yaojie Sun, Albert Y. Y. Zomaya
Summary: Improving energy efficiency is crucial for sustainable smart cities and overall well-being. Non-intrusive load monitoring (NILM) estimates real-time energy consumption and raises awareness among users. This study proposes a hybrid federated learning framework for training NILM models in a collaborative manner for city-wide energy-saving applications. The framework supports both centralised and decentralised training modes, providing a customisable and optimal learning solution. Evaluation on a real-world dataset shows that NILM models trained in this framework outperform locally trained ones in accuracy and privacy protection.
SCIENTIFIC REPORTS
(2023)
Article
Energy & Fuels
Chunqiu Xia, Wei Li, Xiaomin Chang, Ting Yang, Albert Y. Zomaya
Summary: The increasing use of distributed energy resources has changed the management of the electricity system. Microgrids have been established by homes and businesses with local electricity generators, which have increased renewable energy use but also introduced challenges in managing the microgrid system due to the uncertainty of renewable energy generation, load demands, and dynamic electricity prices. To address this, a rank-based multiple-choice secretary algorithm (RMSA) was proposed for microgrid management to reduce operating costs by making real-time decisions under uncertainties. Extensive experiments were conducted to prove the efficacy of the solution in complex real-world scenarios.
FRONTIERS IN ENERGY
(2023)
Article
Automation & Control Systems
Tanveer Hussain, Fath U. Min Ullah, Samee Ullah Khan, Amin Ullah, Umair Haroon, Khan Muhammad, Sung Wook Baik, Victor Hugo C. de Albuquerque
Summary: Video summarization is important for suppressing high-dimensional video data. However, prior research has not focused on the need for surveillance video summarization, and mainstream techniques lack event occurrence detection. Therefore, we propose a two-fold 3-D deep learning-assisted framework for video summarization.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2023)
Article
Automation & Control Systems
Jun Wang, Chang Tang, Xinwang Liu, Wei Zhang, Wanqing Li, Xinzhong Zhu, Lizhe Wang, Albert Y. Zomaya
Summary: This research proposes a region-aware hierarchical latent feature representation learning-guided clustering method for hyperspectral band selection. By utilizing superpixel segmentation algorithm and clustering technique, this method takes full consideration of spatial information and importance of different regions in HSIs, achieving superior performance.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Article
Construction & Building Technology
P. Ruiz, J. M. Aragon-Jurado, M. Seredynski, J. F. Cabrera, D. Pena, J. C. de la Torre, A. Y. Zomaya, B. Dorronsoro
Summary: Public transport is vital for sustainable cities, and plug-in electric hybrid buses can further reduce greenhouse gas emissions. By optimizing the electric drive strategy, these buses can achieve high electric range and lower emissions. This study focuses not only on improving bus performance, but also on the environmental benefits and livability of cities.
SUSTAINABLE CITIES AND SOCIETY
(2023)
Article
Computer Science, Information Systems
Nasrin Sohrabi, Zahir Tari, Gauthier Voron, Vincent Gramoli, Qiang Fu
Summary: SAZyzz is a leader-based Byzantine Fault Tolerant consensus protocol for partially synchronous networks that improves performance and scalability compared to existing protocols. It adopts a tree-based communication model and reduces communication complexity.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2023)
Article
Computer Science, Information Systems
Wei-Kang Chung, Yun Li, Chih-Heng Ke, Sun-Yuan Hsieh, Albert Y. Zomaya, Rajkumar Buyya
Summary: BCube, a well-known network structure for data center networks (DCNs), provides multiple low-diameter paths and good fault-tolerance. This paper proposes two centralized dynamic parallel flow scheduling algorithms, CDPFS and CDPFSMP, to decrease collisions and improve bandwidth utilization in BCube topology. The simulation results demonstrate that our algorithms leverage the advantages of BCube structure and achieve high-performance solutions for load balancing problems, improving throughput by 44.1% in random bijective traffic pattern and 36.2% in data shuffle compared with the BSR algorithm.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2023)
Article
Automation & Control Systems
Victoria Huang, Gang Chen, Xingquan Zuo, Albert Y. Zomaya, Nasrin Sohrabi, Zahir Tari, Qiang Fu
Summary: Software-defined networking (SDN) enables flexible and centralized control in cloud data centers. To provide sufficient and cost-effective processing capacity, an elastic set of distributed SDN controllers is often required. However, the challenge arises in dispatching requests among the controllers by SDN switches. This article proposes MADRina, a Multiagent Deep Reinforcement Learning approach, to design adaptable and high-performance dispatching policies.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
