Article
Computer Science, Information Systems
Felipe Besoain, Ismael Gallardo
Summary: Currently, people's busy and sedentary lifestyles have a negative impact on their health. The COVID-19 pandemic and corresponding measures have further limited physical activity. While there are many apps promoting physical activity, few incorporate formal theories. This study developed a theory-based mobile app and found that attitudes mediate the association between thoughts and physical activity.
Article
Automation & Control Systems
Qinglan Peng, Yunni Xia, MengChu Zhou, Xin Luo, Shu Wang, Yuandou Wang, Chunrong Wu, Shanchen Pang, Mingwei Lin
Summary: Opportunistic mobile service computing allows users to utilize nearby mobile resources without investing in their own pool, but faces challenges such as quality-of-service and reliability-aware scheduling. This article proposes a novel method for reliability-aware and deadline-constrained service composition over opportunistic networks, which outperforms existing approaches in success rate and completion time of composed services. It can aid the design and optimization of composite services in a mobile environment and help practitioners manage the reliability and performance of real-world applications.
IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
(2021)
Article
Engineering, Civil
Yue Cao, Xu Zhang, Bingpeng Zhou, Xuting Duan, Daxin Tian, Xuewu Dai
Summary: This paper proposes a Mobile Edge Computing driven architecture for intelligent battery switch service management. The architecture effectively reduces communication costs and improves service satisfaction through distributed decision-making by EVs and vehicle-to-vehicle communication in line with public transportation systems.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Mathematics
Linyuan Liu, Haibin Zhu, Shenglei Chen
Summary: This paper explores the problem of balancing privacy risk and benefit in multiprovision cloud service composition (MPCSC) and proposes an improved algorithm solution. A series of simulation experiments demonstrate that the proposed approach is both efficient and effective.
Article
Computer Science, Information Systems
Wenxiong Chen, Mingliu Liu, Fan Wu, Huaqing Wu, Yuan Miao, Feng Lyu, Xuemin Shen
Summary: This article investigates the mobility-aware service migration problem in mobile-edge computing (MEC) and proposes a data-driven framework to address this problem. The service migration is formulated as an optimization problem, and a mobility-aware service migration scheme is introduced using deep reinforcement learning algorithm in a large-scale MEC scenario.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Software Engineering
Jintao Wu, Jingyi Zhang, Yiwen Zhang, Yiping Wen
Summary: Mobile edge computing (MEC) is a new paradigm of distributed computing that has gained attention for its ability to expand centralized cloud computing. However, the composition of micro-services in MEC is a challenging research issue that involves resource utilization, user experience, and request latency complexity.
SOFTWARE-PRACTICE & EXPERIENCE
(2023)
Article
Computer Science, Theory & Methods
Soheila Sadeghiram, Hui Ma, Gang Chen
Summary: Service-oriented architecture (SOA) promotes the use of Web services as reusable components in modular applications. Data-intensive Web services manipulate and handle large volumes of data. Distributed Data-intensive Web Service Composition (DWSC) involves selecting and combining data-intensive Web services from different locations to achieve complex tasks. This paper proposes an Evolutionary Computation (EC) approach based on Non-dominated Sorting Genetic Algorithm (NSGA-II) and a novel local search technique to effectively solve the multi-objective distributed DWSC problems. The proposed approach demonstrates superior performance in terms of quality and execution time compared to competing algorithms.
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE
(2023)
Article
Computer Science, Information Systems
Zhaohui Huang, Vasilis Friderikos
Summary: Mobile augmented reality (MAR) applications are gaining attention due to enhanced capabilities provided by network and devices. However, these applications have high computational and memory requirements. Edge cloud computing is seen as a key technology to support MAR applications by offloading demanding algorithms. This paper presents an optimal edge cloud resource service decomposition that considers service composition and user mobility for efficient resource allocation. It proposes heuristic techniques, including a Simulated Annealing based mobility aware AR algorithm and a LSTM neural network, to provide real-time decision making. Numerical investigations show significant improvements compared to previous techniques.
COMPUTER COMMUNICATIONS
(2023)
Review
Computer Science, Software Engineering
Mohammadreza Razian, Mohammad Fathian, Rami Bahsoon, Adel N. Toosi, Rajkumar Buyya
Summary: This paper presents a systematic literature review on service composition under uncertainty. It identifies and classifies existing studies, discusses trends and future research directions in this field.
JOURNAL OF SYSTEMS AND SOFTWARE
(2022)
Article
Chemistry, Multidisciplinary
Felix Francisco Ramos Corchado, Alan Christian Lopez Fraga, Rafael Salazar Salazar, Marco Antonio Ramos Corchado, Ofelia Begovich Mendoza
Summary: This article discusses the importance of pervasive service composition and the current shortcomings in this field. A cognitive approach is proposed to address the problems, validated with a case study on urban security. While the results are promising, further research is needed to refine the approach.
APPLIED SCIENCES-BASEL
(2021)
Article
Computer Science, Theory & Methods
Yonghong Guo, Lu Liu, John Panneerselvam, Rongbo Zhu
Summary: MSNs play a crucial role in the development of smart cities by providing interactive services for citizens, improving their quality of life. With the widespread use of smartphones, mobile social activities have become a part of citizens' daily lives, generating a vast amount of social data. The FCSD model, based on human sociological theories and social strategies, uses self-organizing intelligent network nodes to discover social services, showing superior performance in decentralized mobile social environments.
Article
Green & Sustainable Science & Technology
R. Kanesaraj Ramasamy, Fang-Fang Chua, Su-Cheng Haw, Chin-Kuan Ho
Summary: This study addresses the challenges of web service composition in service-oriented computing and proposes solutions for data type matching. By dividing the composition process into three phases, dynamic and adaptable web service composition can be achieved.
Article
Computer Science, Theory & Methods
Zhaolong Ning, Peiran Dong, Xiaojie Wang, Shupeng Wang, Xiping Hu, Song Guo, Tie Qiu, Bin Hu, Ricky Y. K. Kwok
Summary: This study explores the use of edge computing servers for service offloading to promote the prosperity of mobile applications. The proposed Pervasive Edge Computing (PEC) supports multi-server cooperation for service migration. Dynamic service placement is achieved through optimization algorithms, with performance evaluations demonstrating the effectiveness of the proposed approach.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2021)
Article
Computer Science, Information Systems
Xuanheng Li, Ruyi Xiao, Miao Pan, Nan Zhao
Summary: The emerging Internet of Things (IoT) era has led to the development of many computation-intensive applications, and mobile edge computing (MEC) is a promising solution for supporting these applications. However, due to the uncertainty of user demand, application service providers (ASPs) face challenges in determining the amount of resources to rent in different regions and times. In this article, a data-driven risk-averse MEC resource investment (DRAI) strategy is proposed to address this issue, using statistical characteristics derived from historical data to construct an ambiguity set and developing a data-driven distributionally robust solution for the best strategy.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Information Systems
Yuqing Li, Wenkuan Dai, Xiaoying Gan, Haiming Jin, Luoyi Fu, Huadong Ma, Xinbing Wang
Summary: Mobile edge computing enables resource-limited edge clouds to cooperate in satisfying resource-hungry mobile service requests. This paper presents a jointly optimized design of cooperative placement and scheduling framework, JCPS, that minimizes social cost over time while ensuring diverse user demands. The framework leverages spatial-temporal diversities in workload and resource cost among federated edge clouds.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Software Engineering
Jose Miguel Horcas, Julien Monteil, Melanie Bouroche, Monica Pinto, Lidia Fuentes, Siobhan Clarke
JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS
(2018)
Article
Computer Science, Interdisciplinary Applications
Fatemeh Golpayegani, Zahra Sahaf, Ivana Dusparic, Siobhan Clarke
SIMULATION MODELLING PRACTICE AND THEORY
(2018)
Article
Telecommunications
Jessica McCarthy, S. R. Chaudhry, Perumal Kuppuudaiyar, Radhika Loomba, Siobhan Clarke
Summary: This paper proposes a QoS Aware-ICN (QoSA-ICN) system by introducing data delivery deadline awareness and optimizing forwarding decisions, to ensure prioritized packet treatment in Information-Centric Networking. QoSA-ICN combines ICN and QoS concepts, classifies requests' priority with their QoS requirements by encoding a QoSInfo object in interest/data packets, and extends the transmission mode to a converged best route with multi-hop multi-route forwarding. Simulation results demonstrate the effectiveness of the system in reducing data delivery time, packet loss, and improving the overall content retrieval time and successful priority packets reception ratio.
VEHICULAR COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Christian Cabrera, Siobhan Clarke
Summary: This article introduces a self-adaptive service model for smart cities that supports service discovery by adjusting the organization of service information according to city events. The results of tests conducted in simulated environments and a real IoT testbed show that the proposed model outperforms competitors when reactive adaptation is triggered by a specific event, but further research is needed for proactive adaptation. The testbed results also present the costs of the proposed model.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Information Systems
Gary White, Siobhan Clarke
Summary: This article focuses on reducing the time to detection of a failure in service-oriented computing by forecasting when a service is about to degrade in quality. Previous approaches were not suitable for sudden peaks and dynamic environments, while the proposed method improves response time forecasting accuracy by reducing training time and incorporating recent data from edge devices.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Information Systems
Andrei Palade, Siobhan Clarke
Summary: This article proposes a collaborative approach to engage multiple communities of agents for provisioning QoS-optimal service compositions in mobile environments. New compositions can emerge from local decisions and interactions with agents from diverse communities, improving the diversity and optimality of solutions.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Information Systems
Fan Li, Gary White, Siobhan Clarke
Summary: This article proposes a trust model for selecting trusted service providers in an IoT environment before negotiating SLAs. The model derives a trust credit based on historical information and monitored data to predict the negotiation success rate and possibility of SLA violation.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Hardware & Architecture
Aqeel Kazmi, Saqib Rasool Chaudhry, Hadi Tabatabaee Malazi, Sangita Dhara, Siobhan Clarke
Summary: This article discusses recent developments in interoperable Internet of Things, using the example of delivering data-driven transportation services. Initial results from exploiting heterogeneous traffic data streams reveal interesting traffic patterns for different vehicle types.
Review
Computer Science, Information Systems
Hadi Tabatabaee Malazi, Saqib Rasool Chaudhry, Aqeel Kazmi, Andrei Palade, Christian Cabrera, Gary White, Siobhan Clarke
Summary: This paper introduces the dynamic service placement problem in multi-access edge computing (MEC) and outlines its relations with other problems. Through a systematic literature review, the study categorizes existing dynamic service placement methods and identifies eight research directions. It also provides an overview of MEC architectures, dynamic service placement methods from a middleware viewpoint, and applications that can benefit from dynamic service placement.
Article
Computer Science, Information Systems
Behnam Khazael, Hadi Tabatabaee Malazi, Siobhan Clarke
Summary: This paper proposes a new architecture that integrates the publish-subscribe architectural pattern with software-defined network technology for urban monitoring applications. The architecture enhances monitoring applications with capabilities of distributed processing and detection of complex events. It also enables application developers to define QoS requirements and supports the TESLA complex event specification language. The main focus of the work is on energy and network efficiency, showing significant improvements in energy consumption and data packet traffic compared to three close baselines in simulation results.
Proceedings Paper
Computer Science, Interdisciplinary Applications
Fan Li, Siobhan Clarke
SERVICE-ORIENTED COMPUTING (ICSOC 2020)
(2020)
Article
Computer Science, Information Systems
Saqib Rasool Chaudhry, Andrei Palade, Aqeel Kazmi, Siobhan Clarke
IEEE INTERNET OF THINGS JOURNAL
(2020)
Article
Computer Science, Information Systems
Gary White, Siobhan Clarke
Proceedings Paper
Computer Science, Information Systems
Fan Li, Christian Cabrera, Siobhan Clarke
INTERNET OF THINGS - ICIOT 2019
(2019)
Article
Automation & Control Systems
Vivek Nallur, Siobhan Clarke
AUTONOMOUS AGENTS AND MULTI-AGENT SYSTEMS
(2018)