Article
Engineering, Electrical & Electronic
Junjuan Xia, Lisheng Fan, Nan Yang, Yansha Deng, Trung Q. Duong, George K. Karagiannidis, Arumugam Nallanathan
Summary: This paper investigates the computational access point selection in a mobile edge computing network, evaluates network performance through analyzing outage probability, and validates the effectiveness of the proposed method through simulations and numerical results, discovering that the number of transmit antennas and Nakagami parameter can help reduce latency and energy consumption.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Chaya Shivalinge Gowda, P. V. Y. Jayasree
Summary: In wireless sensor networks, data collection is conducted using a mobile sink to prevent energy hole and hotspot issues, while a new hybrid neural network algorithm and clustering method are employed to optimize energy utilization through selected RPs.
Article
Computer Science, Hardware & Architecture
Wenhao Li, Hamid Faragardi, Mustafa Ozger, Cicek Cavdar, Bjorn Skubic
Summary: This paper investigates the problem of service selection in a marketplace and proposes two service selection algorithms. The experimental results show that the Improved version of Best Fit algorithm achieves better results in terms of monetary cost and execution time compared to the Best Fit algorithm and brute force algorithm.
Article
Computer Science, Information Systems
Junwen Lu, Hao Yongsheng, Kesou Wua, Yuming Chen, Qin Wang
Summary: Mobile cloud computing provides rich computational resources for mobile users, network operators, and cloud computing providers. Offloading applications to remote cloud resources can save energy in a dynamic mobile cloud computing environment. Our proposed algorithm outperforms other methods in energy consumption reduction and number of finished jobs.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Computer Science, Information Systems
Shangguang Wang, Ao Zhou, Ruo Bao, Wu Chou, Stephen S. Yau
Summary: This paper analyzes the trade-off among QoS performance, energy consumption, and network resource consumption in a service composition process, and proposes a green service composition approach that aims to minimize energy and network resource consumption in cloud data centers. Experimental results show that this approach saves 20-50% of energy consumption and 10-50% of network resource consumption compared to other approaches.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Computer Science, Hardware & Architecture
Safikureshi Mondal, Nandini Mukherjee
Summary: The use of cloud computing and mobile devices in healthcare delivery is on the rise due to the large storage capacity of cloud, the heterogeneous structure of health data, and the user-friendly interfaces on mobile devices. The proposed healthcare delivery scheme involves storing a large knowledge base in the cloud and inputting user responses from mobile devices to reach a preliminary diagnosis of diseases based on patients' symptoms. However, instead of sending every response to the cloud, it may be beneficial to prune a portion of the knowledge base stored in a graph form and download it to the mobile devices, depending on various factors such as storage, battery power, processor, network bandwidth, and cloud processor capacity.
Article
Computer Science, Software Engineering
Salisu Garba, Radziah Mohamad, Nor Azizah Saadon
Summary: This paper introduces a self-adaptive mobile web service discovery framework for addressing challenges in a dynamic mobile environment, such as MWS proliferation and irrelevant MWS discovery. The framework enhances performance by improving the matchmaking algorithm, MWS categorization approach, and using an extensible meta-context ontology. Experimental results show that the proposed framework outperforms existing frameworks, particularly in dealing with dynamic context variations.
JOURNAL OF SYSTEMS AND SOFTWARE
(2022)
Article
Computer Science, Information Systems
Yonghun Choi, Seonghoon Park, Seunghyeok Jeon, Rhan Ha, Hojung Cha
Summary: This paper proposes a scheme called SEGA to improve the energy efficiency of game applications on mobile devices. It reduces the energy consumption of smartphones and has a small impact on the quality of service.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Na Xie, Wenan Tan, Lu Zhao, Li Huang, Yong Sun
Summary: Mobile edge computing enables users to access services with low network latency, but selecting the appropriate service instances to minimize overall latency is a critical problem.
IEEE SYSTEMS JOURNAL
(2023)
Article
Computer Science, Hardware & Architecture
Muhammad Umair Khan, Shanza Abbas, Scott Uk-Jin Lee, Asad Abbas
Summary: With the increasing usage of mobile devices in daily life, optimizing applications and systems to reduce energy consumption has become crucial for software developers. However, developers often lack understanding of energy demands of their applications during development, making the selection of appropriate power measurement tools challenging.
SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS
(2021)
Article
Engineering, Multidisciplinary
Jiaxin Li, Fuhong Lin, Lei Yang, Daochao Huang
Summary: This paper addresses the AI task deployment problem in a 6G network, where cloud servers broadcast AI programs to edge computing nodes. The goal is to minimize computing time and energy consumption while maximizing inference accuracy. A mixed-integer non-linear programming problem is jointly optimized by allocating resources and making offloading decisions using an ADMM-based algorithm. Simulation results demonstrate the superiority of this method in various network environments with low computational complexity.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2023)
Article
Multidisciplinary Sciences
Hayder Ali, Hassan Abbas Khan, Michael Pecht
Summary: This paper presents an experimental study on the energy consumption of video calling feature in various social media apps, with Facebook Messenger and Imo being the most energy efficient, while Google Hangouts is the most energy-intensive.
SCIENTIFIC REPORTS
(2023)
Article
Computer Science, Software Engineering
Luis Cruz, Rui Abreu
Summary: This study found that some automation frameworks can increase energy consumption of mobile applications by up to nearly 2200%, while Espresso is the most energy efficient framework. When choosing the appropriate framework, developers need to make informed decisions based on testing needs, and a decision tree can provide assistance in this process.
IEEE TRANSACTIONS ON SOFTWARE ENGINEERING
(2021)
Article
Chemistry, Analytical
Abdelbari Ben Yagouta, Bechir Ben Gouissem, Sami Mnasri, Mansoor Alghamdi, Malek Alrashidi, Majed Abdullah Alrowaily, Ibrahim Alkhazi, Rahma Gantassi, Salem Hasnaoui
Summary: The involvement of wireless sensor networks in large-scale real-time applications is growing exponentially. To simultaneously improve the quality of service and the network lifetime, using multiple mobile sinks can be a key solution. This paper proposes using multiple mobile sinks with random mobile models to establish a tradeoff between power consumption and the quality of service. Simulation results demonstrate the effectiveness of hierarchical data routing with random mobile sinks in balancing the energy levels of nodes and reducing overall power consumption.
Article
Thermodynamics
Ikram Yusuf Yarbasi, Ali Kemal celik
Summary: Residential areas in Turkey have a significant role in electricity consumption. Accurately determining the electricity consumption demand can contribute to energy efficiency in the country. This study examines the electricity consumption demand in residential areas based on various socio-economic and building variables. The results show that annual disposable income, demographic variables, house characteristics, and the presence of electrical appliances significantly affect electricity consumption. Providing informative brochures and incentivizing renewable energy sources can enhance efficiency and contribute to the country's economy.
Article
Computer Science, Information Systems
Shuiguang Deng, Guanjie Cheng, Hailiang Zhao, Honghao Gao, Jianwei Yin
Summary: This article analyzes the challenges facing current e-commerce and introduces a new scenario of e-commerce enabled by blockchain. It proposes a framework for mining tasks on edge servers based on mobile edge computing, models the offloading issue as a multi-constrained optimization problem, and uses evolutionary algorithms as solvers. Experimental results validate the efficiency of the framework and algorithms, showing the existence of a lower bound of computation resources for maximum overall revenue.
ACM TRANSACTIONS ON INTERNET TECHNOLOGY
(2021)
Article
Computer Science, Hardware & Architecture
Mohammad Ali Khoshkholghi, Michel Gokan Khan, Kyoomars Alizadeh Noghani, Javid Taheri, Deval Bhamare, Andreas Kassler, Zhengzhe Xiang, Shuiguang Deng, Xiaoxian Yang
MOBILE NETWORKS & APPLICATIONS
(2020)
Article
Computer Science, Hardware & Architecture
Gang Xue, Shuiguang Deng, Di Liu, Zeming Yan
Summary: This paper explores coordination mechanisms for decentralized microservice compositions when a coordinator is missing, and validates their effectiveness through experiments.
Article
Computer Science, Artificial Intelligence
Dongjing Wang, Xin Zhang, Dongjin Yu, Guandong Xu, Shuiguang Deng
Summary: The article discusses a personalized music recommender system that incorporates rich content and context data in a unified and adaptive way. By proposing a method called content- and context-aware music embedding (CAME) and integrating deep learning techniques, the system is able to effectively capture the features of music pieces.
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
(2021)
Article
Computer Science, Hardware & Architecture
Jianwei Yin, Yan Tang, Shuiguang Deng, Bangpeng Zheng, Albert Y. Zomaya
Summary: This article introduces a multilayered and SLA-driven deduplication framework called MUSE for cloud storage systems. By utilizing the Dedup-SLA notation as a service quality protocol, adopting multi-tiered deduplication, and implementing dynamic deduplication regulation, MUSE effectively optimizes the tradeoff between IO performance and space cost, delivering higher deduplication service quality compared to other schemes.
IEEE TRANSACTIONS ON COMPUTERS
(2021)
Article
Computer Science, Information Systems
Shuiguang Deng, Zhengzhe Xiang, Javid Taheri, Mohammad Ali Khoshkholghi, Jianwei Yin, Albert Y. Zomaya, Schahram Dustdar
Summary: This paper discusses the deployment of microservice-based applications in the MEC environment and proposes an approach to optimize deployment costs while considering resource constraints and performance requirements. Through a series of experiments, it is shown that the approach can improve the average response time of mobile services.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Artificial Intelligence
Guobing Zou, Zhen Qin, Shuiguang Deng, Kuan-Ching Li, Yanglan Gan, Bofeng Zhang
Summary: Mobile edge computing (MEC) aims to reduce response time for service invocations by deploying service instances on edge servers and selecting them based on user proximity. However, service instance selection faces challenges such as server limitations, user mobility, and request interference. A novel genetic algorithm-based approach called GASISMEC is proposed to tackle these challenges and outperforms six baseline approaches in extensive experiments.
KNOWLEDGE-BASED SYSTEMS
(2021)
Article
Computer Science, Theory & Methods
Shuiguang Deng, Cheng Zhang, Chang Li, Jianwei Yin, Schahram Dustdar, Albert Y. Zomaya
Summary: Edge computing is a fast evolving computing paradigm that faces challenges such as service load imbalance due to limited computing resources compared to cloud computing. To address this issue, a two-stage strategy is introduced in this article to migrate service load to other edge servers and reduce overall delay of service requests.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2021)
Article
Computer Science, Cybernetics
Guanjie Cheng, Yan Chen, Shuiguang Deng, Honghao Gao, Jianwei Yin
Summary: This paper explores the trend of incorporating edge computing in IoT and the security challenges it poses, proposing a blockchain-based mutual authentication scheme to meet the authentication needs between edge servers and IoT devices, including both static and dynamic conditions.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2022)
Article
Biochemical Research Methods
Bo Lin, Shuiguang Deng, Honghao Gao, Jianwei Yin
Summary: The study introduced a multi-scale activity transition network (MSATNet) to mitigate the impact of the translation problem in convolution-based models. MSATNet provides an activity state pyramid consisting of multi-scale recurrent neural networks to capture the relationship between brain activities, thereby improving accuracy in EEG decoding.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS
(2021)
Proceedings Paper
Computer Science, Information Systems
Guanjie Cheng, Shuiguang Deng, Zhengzhe Xiang, Yan Chen, Jianwei Yin
2020 IEEE 13TH INTERNATIONAL CONFERENCE ON WEB SERVICES (ICWS 2020)
(2020)
Proceedings Paper
Computer Science, Software Engineering
Chen Zhi, Jianwei Yin, Junxiao Han, Shuiguang Deng
2020 27TH ASIA-PACIFIC SOFTWARE ENGINEERING CONFERENCE (APSEC 2020)
(2020)
Proceedings Paper
Computer Science, Information Systems
Meng Xi, Jianwei Yin, Yongna Wei, Maolin Zhang, Shuiguang Deng, Ying Li
2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2020)
(2020)
Proceedings Paper
Computer Science, Information Systems
Jianwei Yin, Siwei Tan, Meng Xi, Jintao Chen, Yongna Wei, Shuiguang Deng
2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2020)
(2020)
Proceedings Paper
Computer Science, Information Systems
Jintao Chen, Jianwei Yin, Meng Xi, Siwei Tan, Yongna Wei, Shuiguang Deng
2020 IEEE 13TH INTERNATIONAL CONFERENCE ON SERVICES COMPUTING (SCC 2020)
(2020)
